Powered by Deep Web Technologies
Note: This page contains sample records for the topic "generator parameter estimation" 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

Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network  

E-Print Network (OSTI)

Compact binary systems with neutron stars or black holes are one of the most promising sources for ground-based gravitational wave detectors. Gravitational radiation encodes rich information about source physics; thus parameter estimation and model selection are crucial analysis steps for any detection candidate events. Detailed models of the anticipated waveforms enable inference on several parameters, such as component masses, spins, sky location and distance that are essential for new astrophysical studies of these sources. However, accurate measurements of these parameters and discrimination of models describing the underlying physics are complicated by artifacts in the data, uncertainties in the waveform models and in the calibration of the detectors. Here we report such measurements on a selection of simulated signals added either in hardware or software to the data collected by the two LIGO instruments and the Virgo detector during their most recent joint science run, including a "blind injection" where the signal was not initially revealed to the collaboration. We exemplify the ability to extract information about the source physics on signals that cover the neutron star and black hole parameter space over the individual mass range 1 Msun - 25 Msun and the full range of spin parameters. The cases reported in this study provide a snap-shot of the status of parameter estimation in preparation for the operation of advanced detectors.

the LIGO Scientific Collaboration; the Virgo Collaboration; J. Aasi; J. Abadie; B. P. Abbott; R. Abbott; T. D. Abbott; M. Abernathy; T. Accadia; F. Acernese; C. Adams; T. Adams; P. Addesso; R. Adhikari; C. Affeldt; M. Agathos; K. Agatsuma; P. Ajith; B. Allen; A. Allocca; E. Amador Ceron; D. Amariutei; S. B. Anderson; W. G. Anderson; K. Arai; M. C. Araya; S. Ast; S. M. Aston; P. Astone; D. Atkinson; P. Aufmuth; C. Aulbert; B. E. Aylott; S. Babak; P. Baker; G. Ballardin; S. Ballmer; Y. Bao; J. C. B. Barayoga; D. Barker; F. Barone; B. Barr; L. Barsotti; M. Barsuglia; M. A. Barton; I. Bartos; R. Bassiri; M. Bastarrika; A. Basti; J. Batch; J. Bauchrowitz; Th. S. Bauer; M. Bebronne; D. Beck; B. Behnke; M. Bejger; M. G. Beker; A. S. Bell; C. Bell; I. Belopolski; M. Benacquista; J. M. Berliner; A. Bertolini; J. Betzwieser; N. Beveridge; P. T. Beyersdorf; T. Bhadbade; I. A. Bilenko; G. Billingsley; J. Birch; R. Biswas; M. Bitossi; M. A. Bizouard; E. Black; J. K. Blackburn; L. Blackburn; D. Blair; B. Bland; M. Blom; O. Bock; T. P. Bodiya; C. Bogan; C. Bond; R. Bondarescu; F. Bondu; L. Bonelli; R. Bonnand; R. Bork; M. Born; V. Boschi; S. Bose; L. Bosi; B. Bouhou; S. Braccini; C. Bradaschia; P. R. Brady; V. B. Braginsky; M. Branchesi; J. E. Brau; J. Breyer; T. Briant; D. O. Bridges; A. Brillet; M. Brinkmann; V. Brisson; M. Britzger; A. F. Brooks; D. A. Brown; T. Bulik; H. J. Bulten; A. Buonanno; J. Burguet--Castell; D. Buskulic; C. Buy; R. L. Byer; L. Cadonati; G. Cagnoli; E. Calloni; J. B. Camp; P. Campsie; K. Cannon; B. Canuel; J. Cao; C. D. Capano; F. Carbognani; L. Carbone; S. Caride; S. Caudill; M. Cavaglià; F. Cavalier; R. Cavalieri; G. Cella; C. Cepeda; E. Cesarini; T. Chalermsongsak; P. Charlton; E. Chassande-Mottin; W. Chen; X. Chen; Y. Chen; A. Chincarini; A. Chiummo; H. S. Cho; J. Chow; N. Christensen; S. S. Y. Chua; C. T. Y. Chung; S. Chung; G. Ciani; F. Clara; D. E. Clark; J. A. Clark; J. H. Clayton; F. Cleva; E. Coccia; P. -F. Cohadon; C. N. Colacino; A. Colla; M. Colombini; A. Conte; R. Conte; D. Cook; T. R. Corbitt; M. Cordier; N. Cornish; A. Corsi; C. A. Costa; M. Coughlin; J. -P. Coulon; P. Couvares; D. M. Coward; M. Cowart; D. C. Coyne; J. D. E. Creighton; T. D. Creighton; A. M. Cruise; A. Cumming; L. Cunningham; E. Cuoco; R. M. Cutler; K. Dahl; M. Damjanic; S. L. Danilishin; S. D'Antonio; K. Danzmann; V. Dattilo; B. Daudert; H. Daveloza; M. Davier; E. J. Daw; T. Dayanga; R. De Rosa; D. DeBra; G. Debreczeni; J. Degallaix; W. Del Pozzo; T. Dent; V. Dergachev; R. DeRosa; S. Dhurandhar; L. Di Fiore; A. Di Lieto; I. Di Palma; M. Di Paolo Emilio; A. Di Virgilio; M. Díaz; A. Dietz; F. Donovan; K. L. Dooley; S. Doravari; S. Dorsher; M. Drago; R. W. P. Drever; J. C. Driggers; Z. Du; J. -C. Dumas; S. Dwyer; T. Eberle; M. Edgar; M. Edwards; A. Effler; P. Ehrens; G. Endröczi; R. Engel; T. Etzel; K. Evans; M. Evans; T. Evans; M. Factourovich; V. Fafone; S. Fairhurst; B. F. Farr; W. M. Farr; M. Favata; D. Fazi; H. Fehrmann; D. Feldbaum; F. Feroz; I. Ferrante; F. Ferrini; F. Fidecaro; L. S. Finn; I. Fiori; R. P. Fisher; R. Flaminio; S. Foley; E. Forsi; L. A. Forte; N. Fotopoulos; J. -D. Fournier; J. Franc; S. Franco; S. Frasca; F. Frasconi; M. Frede; M. A. Frei; Z. Frei; A. Freise; R. Frey; T. T. Fricke; D. Friedrich; P. Fritschel; V. V. Frolov; M. -K. Fujimoto; P. J. Fulda; M. Fyffe; J. Gair; M. Galimberti; L. Gammaitoni; J. Garcia; F. Garufi; M. E. Gáspár; G. Gelencser; G. Gemme; E. Genin; A. Gennai; L. Á. Gergely; S. Ghosh; J. A. Giaime; S. Giampanis; K. D. Giardina; A. Giazotto; S. Gil-Casanova; C. Gill; J. Gleason; E. Goetz; G. González; M. L. Gorodetsky; S. Goßler; R. Gouaty; C. Graef; P. B. Graff; M. Granata; A. Grant; C. Gray; R. J. S. Greenhalgh; A. M. Gretarsson; C. Griffo; H. Grote; K. Grover; S. Grunewald; G. M. Guidi; C. Guido; R. Gupta; E. K. Gustafson; R. Gustafson; J. M. Hallam; D. Hammer; G. Hammond; J. Hanks; C. Hanna; J. Hanson; J. Harms; G. M. Harry; I. W. Harry; E. D. Harstad; M. T. Hartman; C. -J. Haster; K. Haughian; K. Hayama; J. -F. Hayau; J. Heefner; A. Heidmann; M. C. Heintze; H. Heitmann; P. Hello; G. Hemming; M. A. Hendry; I. S. Heng; A. W. Heptonstall; V. Herrera; M. Heurs; M. Hewitson; S. Hild; D. Hoak; K. A. Hodge; K. Holt; M. Holtrop; T. Hong; S. Hooper; J. Hough; E. J. Howell; B. Hughey; S. Husa; S. H. Huttner; T. Huynh-Dinh; D. R. Ingram; R. Inta; T. Isogai; A. Ivanov; K. Izumi; M. Jacobson; E. James; Y. J. Jang; P. Jaranowski; E. Jesse; W. W. Johnson; D. I. Jones; R. Jones; R. J. G. Jonker; L. Ju; P. Kalmus; V. Kalogera; S. Kandhasamy; G. Kang; J. B. Kanner; M. Kasprzack; R. Kasturi; E. Katsavounidis; W. Katzman; H. Kaufer; K. Kaufman; K. Kawabe; S. Kawamura; F. Kawazoe; D. Keitel; D. Kelley; W. Kells; D. G. Keppel; Z. Keresztes; A. Khalaidovski; F. Y. Khalili; E. A. Khazanov; B. K. Kim; C. Kim; H. Kim; K. Kim; N. Kim; Y. M. Kim; P. J. King

2013-04-05T23:59:59.000Z

2

Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network  

E-Print Network (OSTI)

Compact binary systems with neutron stars or black holes are one of the most promising sources for ground-based gravitational wave detectors. Gravitational radiation encodes rich information about source physics; thus parameter estimation and model selection are crucial analysis steps for any detection candidate events. Detailed models of the anticipated waveforms enable inference on several parameters, such as component masses, spins, sky location and distance that are essential for new astrophysical studies of these sources. However, accurate measurements of these parameters and discrimination of models describing the underlying physics are complicated by artifacts in the data, uncertainties in the waveform models and in the calibration of the detectors. Here we report such measurements on a selection of simulated signals added either in hardware or software to the data collected by the two LIGO instruments and the Virgo detector during their most recent joint science run, including a "blind injection" wher...

Aasi, J; Abbott, B P; Abbott, R; Abbott, T D; Abernathy, M; Accadia, T; Acernese, F; Adams, C; Adams, T; Addesso, P; Adhikari, R; Affeldt, C; Agathos, M; Agatsuma, K; Ajith, P; Allen, B; Allocca, A; Ceron, E Amador; Amariutei, D; Anderson, S B; Anderson, W G; Arai, K; Araya, M C; Ast, S; Aston, S M; Astone, P; Atkinson, D; Aufmuth, P; Aulbert, C; Aylott, B E; Babak, S; Baker, P; Ballardin, G; Ballmer, S; Bao, Y; Barayoga, J C B; Barker, D; Barone, F; Barr, B; Barsotti, L; Barsuglia, M; Barton, M A; Bartos, I; Bassiri, R; Bastarrika, M; Basti, A; Batch, J; Bauchrowitz, J; Bauer, Th S; Bebronne, M; Beck, D; Behnke, B; Bejger, M; Beker, M G; Bell, A S; Bell, C; Belopolski, I; Benacquista, M; Berliner, J M; Bertolini, A; Betzwieser, J; Beveridge, N; Beyersdorf, P T; Bhadbade, T; Bilenko, I A; Billingsley, G; Birch, J; Biswas, R; Bitossi, M; Bizouard, M A; Black, E; Blackburn, J K; Blackburn, L; Blair, D; Bland, B; Blom, M; Bock, O; Bodiya, T P; Bogan, C; Bond, C; Bondarescu, R; Bondu, F; Bonelli, L; Bonnand, R; Bork, R; Born, M; Boschi, V; Bose, S; Bosi, L; Bouhou, B; Braccini, S; Bradaschia, C; Brady, P R; Braginsky, V B; Branchesi, M; Brau, J E; Breyer, J; Briant, T; Bridges, D O; Brillet, A; Brinkmann, M; Brisson, V; Britzger, M; Brooks, A F; Brown, D A; Bulik, T; Bulten, H J; Buonanno, A; Burguet--Castell, J; Buskulic, D; Buy, C; Byer, R L; Cadonati, L; Cagnoli, G; Calloni, E; Camp, J B; Campsie, P; Cannon, K; Canuel, B; Cao, J; Capano, C D; Carbognani, F; Carbone, L; Caride, S; Caudill, S; Cavaglià, M; Cavalier, F; Cavalieri, R; Cella, G; Cepeda, C; Cesarini, E; Chalermsongsak, T; Charlton, P; Chassande-Mottin, E; Chen, W; Chen, X; Chen, Y; Chincarini, A; Chiummo, A; Cho, H S; Chow, J; Christensen, N; Chua, S S Y; Chung, C T Y; Chung, S; Ciani, G; Clara, F; Clark, D E; Clark, J A; Clayton, J H; Cleva, F; Coccia, E; Cohadon, P -F; Colacino, C N; Colla, A; Colombini, M; Conte, A; Conte, R; Cook, D; Corbitt, T R; Cordier, M; Cornish, N; Corsi, A; Costa, C A; Coughlin, M; Coulon, J -P; Couvares, P; Coward, D M; Cowart, M; Coyne, D C; Creighton, J D E; Creighton, T D; Cruise, A M; Cumming, A; Cunningham, L; Cuoco, E; Cutler, R M; Dahl, K; Damjanic, M; Danilishin, S L; D'Antonio, S; Danzmann, K; Dattilo, V; Daudert, B; Daveloza, H; Davier, M; Daw, E J; Dayanga, T; De Rosa, R; DeBra, D; Debreczeni, G; Degallaix, J; Del Pozzo, W; Dent, T; Dergachev, V; DeRosa, R; Dhurandhar, S; Di Fiore, L; Di Lieto, A; Di Palma, I; Emilio, M Di Paolo; Di Virgilio, A; Díaz, M; Dietz, A; Donovan, F; Dooley, K L; Doravari, S; Dorsher, S; Drago, M; Drever, R W P; Driggers, J C; Du, Z; Dumas, J -C; Dwyer, S; Eberle, T; Edgar, M; Edwards, M; Effler, A; Ehrens, P; Endröczi, G; Engel, R; Etzel, T; Evans, K; Evans, M; Evans, T; Factourovich, M; Fafone, V; Fairhurst, S; Farr, B F; Farr, W M; Favata, M; Fazi, D; Fehrmann, H; Feldbaum, D; Ferrante, I; Ferrini, F; Fidecaro, F; Finn, L S; Fiori, I; Fisher, R P; Flaminio, R; Foley, S; Forsi, E; Forte, L A; Fotopoulos, N; Fournier, J -D; Franc, J; Franco, S; Frasca, S; Frasconi, F; Frede, M; Frei, M A; Frei, Z; Freise, A; Frey, R; Fricke, T T; Friedrich, D; Fritschel, P; Frolov, V V; Fujimoto, M -K; Fulda, P J; Fyffe, M; Gair, J; Galimberti, M; Gammaitoni, L; Garcia, J; Garufi, F; Gáspár, M E; Gelencser, G; Gemme, G; Genin, E; Gennai, A; Gergely, L Á; Ghosh, S; Giaime, J A; Giampanis, S; Giardina, K D; Giazotto, A; Gil-Casanova, S; Gill, C; Gleason, J; Goetz, E; González, G; Gorodetsky, M L; Goßler, S; Gouaty, R; Graef, C; Graff, P B; Granata, M; Grant, A; Gray, C; Greenhalgh, R J S; Gretarsson, A M; Griffo, C; Grote, H; Grover, K; Grunewald, S; Guidi, G M; Guido, C; Gupta, R; Gustafson, E K; Gustafson, R; Hallam, J M; Hammer, D; Hammond, G; Hanks, J; Hanna, C; Hanson, J; Harms, J; Harry, G M; Harry, I W; Harstad, E D; Hartman, M T; Haster, C -J; Haughian, K; Hayama, K; Hayau, J -F; Heefner, J; Heidmann, A; Heintze, M C; Heitmann, H; Hello, P; Hemming, G; Hendry, M A; Heng, I S; Heptonstall, A W; Herrera, V; Heurs, M; Hewitson, M; Hild, S; Hoak, D; Hodge, K A; Holt, K; Holtrop, M; Hong, T; Hooper, S; Hough, J; Howell, E J; Hughey, B; Husa, S; Huttner, S H; Huynh-Dinh, T; Ingram, D R; Inta, R; Isogai, T; Ivanov, A; Izumi, K; Jacobson, M; James, E; Jang, Y J; Jaranowski, P; Jesse, E; Johnson, W W; Jones, D I; Jones, R; Jonker, R J G; Ju, L; Kalmus, P; Kalogera, V; Kandhasamy, S; Kang, G; Kanner, J B; Kasprzack, M; Kasturi, R; Katsavounidis, E; Katzman, W; Kaufer, H; Kaufman, K; Kawabe, K; Kawamura, S; Kawazoe, F; Keitel, D; Kelley, D; Kells, W; Keppel, D G; Keresztes, Z; Khalaidovski, A; Khalili, F Y; Khazanov, E A; Kim, B K; Kim, C; Kim, H; Kim, K; Kim, N; Kim, Y M; King, P J; Kinzel, D L; Kissel, J S; Klimenko, S; Kline, J; Kokeyama, K; Kondrashov, V; Koranda, S; Korth, W Z; Kowalska, I; Kozak, D; Kringel, V; Krishnan, B; Królak, A; Kuehn, G; Kumar, P; Kumar, R; Kurdyumov, R; Kwee, P

2013-01-01T23:59:59.000Z

3

FastFit - A Users Guide: Estimation of Uncertain Process Parameters and Generation of Forward Price Curves for Energy Markets  

Science Conference Proceedings (OSTI)

Valuation of electric power assets and contracts requires both forward prices (for electricity and fuels) and their associated levels of uncertainty. FastFit is a software package for estimating the underlying process parameters that characterize the uncertainty in terms of a three-factor, mean reverting stochastic process. FastFit then uses those parameters to develop or extend forward price forecasts for fuels and electricity. Employing Kalman Filtering (KF) and maximum likelihood estimation (MLE) tech...

2003-12-10T23:59:59.000Z

4

Cosmological parameter estimation from CMB experiments  

Science Conference Proceedings (OSTI)

I review the general aspects of cosmological parameter estimation from observations of the cosmic microwave background (CMB) temperature anisotropies in the framework of inflationary adiabatic models. The most recent CMB datasets are starting to give good constraints on the relevant parameters of inflationary adiabatic models. They point toward a model consistent with the basic predictions of inflation: a nearly flat universe

Amedeo Balbi

2001-01-01T23:59:59.000Z

5

Frequency tracking and parameter estimation for robust quantum state estimation  

SciTech Connect

In this paper we consider the problem of tracking the state of a quantum system via a continuous weak measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency.

Ralph, Jason F. [Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ (United Kingdom); Jacobs, Kurt [Department of Physics, University of Massachusetts at Boston, 100 Morrissey Blvd, Boston, Massachusetts 02125 (United States); Hill, Charles D. [Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Victoria 3010 (Australia)

2011-11-15T23:59:59.000Z

6

New approaches to estimation of magnetotelluric parameters  

DOE Green Energy (OSTI)

Fully efficient robust data processing procedures were developed and tested for single station and remote reference magnetotelluric (Mr) data. Substantial progress was made on development, testing and comparison of optimal procedures for single station data. A principal finding of this phase of the research was that the simplest robust procedures can be more heavily biased by noise in the (input) magnetic fields, than standard least squares estimates. To deal with this difficulty we developed a robust processing scheme which combined the regression M-estimate with coherence presorting. This hybrid approach greatly improves impedance estimates, particularly in the low signal-to-noise conditions often encountered in the dead band'' (0.1--0.0 hz). The methods, and the results of comparisons of various single station estimators are described in detail. Progress was made on developing methods for estimating static distortion parameters, and for testing hypotheses about the underlying dimensionality of the geological section.

Egbert, G.D.

1991-01-01T23:59:59.000Z

7

SLCA/IP Hydro Generation Estimates Month Forecast Generation  

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

42014 15:46 SLCAIP Hydro Generation Estimates Month Forecast Generation less losses (kWh) Less Proj. Use (kWh) Net Generation (kWh) SHP Deliveries (kWh) Firming Purchases (kWh)...

8

SLCA/IP Hydro Generation Estimates Month Forecast Generation  

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

13 16:39 SLCAIP Hydro Generation Estimates Month Forecast Generation less losses (kWh) Less Proj. Use (kWh) Net Generation (kWh) SHP Deliveries (kWh) Firming Purchases (kWh)...

9

Estimation of synchronous machine parameters by standstill tests  

Science Conference Proceedings (OSTI)

In this paper we present the results of a time-domain identification procedure to estimate the linear parameters of a salient-pole synchronous machine at standstill. A new approach is proposed for the estimation of synchronous machine coupled to DC-chopper ... Keywords: Parameter estimation, Standstill tests, Synchronous machine

M. Hasni; O. Touhami; R. Ibtiouen; M. Fadel; S. Caux

2010-10-01T23:59:59.000Z

10

Surface Roughness Parameter Estimated with a Drag Technique  

Science Conference Proceedings (OSTI)

The surface roughness parameter, z0, can be estimated with different techniques. These techniques are analyzing the mean wind profile, estimating the surface drag coefficient and using the universal functions according to the Monin-Obukhov ...

Adrie F. G. Jacobs; Emile Schols

1986-11-01T23:59:59.000Z

11

Parameter Estimation from an Optimal Projection in a Local Environment  

E-Print Network (OSTI)

The parameter fit from a model grid is limited by our capability to reduce the number of models, taking into account the number of parameters and the non linear variation of the models with the parameters. The Local MultiLinear Regression (LMLR) algorithms allow one to fit linearly the data in a local environment. The MATISSE algorithm, developed in the context of the estimation of stellar parameters from the Gaia RVS spectra, is connected to this class of estimators. A two-steps procedure was introduced. A raw parameter estimation is first done in order to localize the parameter environment. The parameters are then estimated by projection on specific vectors computed for an optimal estimation. The MATISSE method is compared to the estimation using the objective analysis. In this framework, the kernel choice plays an important role. The environment needed for the parameter estimation can result from it. The determination of a first parameter set can be also avoided for this analysis. These procedures based on a local projection can be fruitfully applied to non linear parameter estimation if the number of data sets to be fitted is greater than the number of models.

A. Bijaoui; A. Recio-Blanco; P. de Laverny

2008-11-03T23:59:59.000Z

12

Neural Network Based Modeling of a Large Steam Turbine-Generator Rotor Body Parameters from On-Line Disturbance Data  

E-Print Network (OSTI)

Neural Network Based Modeling of a Large Steam Turbine-Generator Rotor Body Parameters from On technique to estimate and model rotor- body parameters of a large steam turbine-generator from real time

13

Parameter estimation for ridge detection in images with thin structures  

Science Conference Proceedings (OSTI)

This paper presents an analysis of four ridge detectors in images with thin structures: plant root images and retinal images. Two proposed detectors and two detectors from the literature are used. We estimate the optimal parameters for each detector ... Keywords: parameter estimation, ridge detection

Talita Perciano; Roberto Hirata, Jr.; Lúcio André De Castro Jorge

2010-11-01T23:59:59.000Z

14

Practical and Theoretical Aspects of Adjoint Parameter Estimation and Identifiability  

E-Print Network (OSTI)

in either the meteorological or the oceanographic literature. As noted by Yeh(1986) in the context of ground water flow parameter estimation the inverse or parameter estimation problem is often ill­posed and beset reservoirs for instance by Carrera and Neuman (1986a, b, c), Yeh(1986), Cushman­Roisin(1986), Sein­ feld

15

SLCA/IP Hydro Generation Estimates Month Forecast Generation  

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

5/2013 9:06 5/2013 9:06 SLCA/IP Hydro Generation Estimates Month Forecast Generation less losses (kWh) Less Proj. Use (kWh) Net Generation (kWh) SHP Deliveries (kWh) Firming Purchases (kWh) Generation above SHP Level (kWH) 2013-Oct 232,469,911 13,095,926 219,373,985 398,608,181 192,676,761 - 2013-Nov 211,770,451 2,989,074 208,781,376 408,041,232 214,204,345 - 2013-Dec 252,579,425 3,106,608 249,472,817 455,561,848 221,545,708 - 2014-Jan 337,006,077 3,105,116 333,900,962 463,462,717 139,278,887 -

16

Model Reduction and Parameter Estimation in Groundwater Modeling  

E-Print Network (OSTI)

Professor William W-G. Yeh, Chair Water resources systemsWilliam W-G. Yeh. Systems analysis in ground-water planningYeh (2012), Reduced order parameter estimation using quasilinearization and quadratic programming, Water

Siade, Adam

2012-01-01T23:59:59.000Z

17

ARM - Evaluation Product - Radiatively Important Parameters Best Estimate  

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

ProductsRadiatively Important Parameters Best ProductsRadiatively Important Parameters Best Estimate (RIPBE) Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Radiatively Important Parameters Best Estimate (RIPBE) 2002.03.01 - 2007.06.30 Site(s) SGP General Description The Radiatively Important Parameters Best Estimate (RIPBE) VAP combines multiple input datastreams, each with their own temporal and vertical resolution, to create a complete set of radiatively important parameters on a uniform vertical and temporal grid with quality control and source information for use as input to a radiative transfer model. One of the main drivers for RIPBE was to create input files for the BroadBand Heating Rate Profiles (BBHRP) VAP, but we also envision use of RIPBE files for user-run

18

Bayesian estimation of one-parameter qubit gates  

E-Print Network (OSTI)

We address estimation of one-parameter unitary gates for qubit systems and seek for optimal probes and measurements. Single- and two-qubit probes are analyzed in details focusing on precision and stability of the estimation procedure. Bayesian inference is employed and compared with the ultimate quantum limits to precision, taking into account the biased nature of Bayes estimator in the non asymptotic regime. Besides, through the evaluation of the asymptotic a posteriori distribution for the gate parameter and the comparison with the results of Monte Carlo simulated experiments, we show that asymptotic optimality of Bayes estimator is actually achieved after a limited number of runs. The robustness of the estimation procedure against fluctuations of the measurement settings is investigated and the use of entanglement to improve the overall stability of the estimation scheme is also analyzed in some details.

Berihu Teklu; Stefano Olivares; Matteo G A Paris

2008-12-04T23:59:59.000Z

19

Long correlation Gaussian random fields: Parameter estimation and noise reduction  

Science Conference Proceedings (OSTI)

In this paper, a parametric model for Gaussian random fields (GRFs) with long-correlation feature, namely the long correlation GRF (LC-GRF), is studied. Important properties of the model are derived and used for developing new parameter estimation algorithms ... Keywords: Expectation--maximization (EM) algorithm, Gaussian random fields (GRF), Maximum likelihood estimation (MLE), Noise reduction, Wiener filter

C. F. Caiafa; A. N. Proto; E. E. Kuruo?lu

2007-07-01T23:59:59.000Z

20

Adaptive Online Battery Parameters/SOC/Capacity Co-estimation  

E-Print Network (OSTI)

Adaptive Online Battery Parameters/SOC/Capacity Co-estimation Habiballah Rahimi-Eichi and Mo parameters to characterize the performance and application of a battery. Although the nominal capacity and even storage ageing of the battery. Following our previous publications in which we developed an online

Chow, Mo-Yuen

Note: This page contains sample records for the topic "generator parameter estimation" 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

Parameter estimation and compensation in systems with nonlinearly parameterized perturbations  

Science Conference Proceedings (OSTI)

We consider a class of systems influenced by perturbations that are nonlinearly parameterized by unknown constant parameters, and develop a method for estimating the unknown parameters. The method applies to systems where the states are available for ... Keywords: Adaptive control, Nonlinear observer design, Nonlinear system control, Uncertain nonlinear systems

Håvard Fjær Grip; Tor A. Johansen; Lars Imsland; Glenn-Ole Kaasa

2010-01-01T23:59:59.000Z

22

Simplified Approach for Estimating Impacts of Electricity Generation...  

Open Energy Info (EERE)

Simplified Approach for Estimating Impacts of Electricity Generation (SIMPACTS) Jump to: navigation, search Tool Summary Name: Simplified Approach for Estimating Impacts of...

23

Bayesian analysis of inflation: Parameter estimation for single field models  

Science Conference Proceedings (OSTI)

Future astrophysical data sets promise to strengthen constraints on models of inflation, and extracting these constraints requires methods and tools commensurate with the quality of the data. In this paper we describe ModeCode, a new, publicly available code that computes the primordial scalar and tensor power spectra for single-field inflationary models. ModeCode solves the inflationary mode equations numerically, avoiding the slow roll approximation. It is interfaced with CAMB and CosmoMC to compute cosmic microwave background angular power spectra and perform likelihood analysis and parameter estimation. ModeCode is easily extendable to additional models of inflation, and future updates will include Bayesian model comparison. Errors from ModeCode contribute negligibly to the error budget for analyses of data from Planck or other next generation experiments. We constrain representative single-field models ({phi}{sup n} with n=2/3, 1, 2, and 4, natural inflation, and 'hilltop' inflation) using current data, and provide forecasts for Planck. From current data, we obtain weak but nontrivial limits on the post-inflationary physics, which is a significant source of uncertainty in the predictions of inflationary models, while we find that Planck will dramatically improve these constraints. In particular, Planck will link the inflationary dynamics with the post-inflationary growth of the horizon, and thus begin to probe the ''primordial dark ages'' between TeV and grand unified theory scale energies.

Mortonson, Michael J. [Center for Cosmology and Astro-Particle Physics, Ohio State University, Columbus, Ohio 43210 (United States); Peiris, Hiranya V. [Institute of Astronomy and Kavli Institute for Cosmology, University of Cambridge, Cambridge CB3 0HA (United Kingdom); Department of Physics and Astronomy, University College London, London WC1E 6BT (United Kingdom); Easther, Richard [Department of Physics, Yale University, New Haven, Connecticut 06520 (United States)

2011-02-15T23:59:59.000Z

24

Bayesian Analysis of Inflation: Parameter Estimation for Single Field Models  

E-Print Network (OSTI)

Future astrophysical datasets promise to strengthen constraints on models of inflation, and extracting these constraints requires methods and tools commensurate with the quality of the data. In this paper we describe ModeCode, a new, publicly available code that computes the primordial scalar and tensor power spectra for single field inflationary models. ModeCode solves the inflationary mode equations numerically, avoiding the slow roll approximation. It is interfaced with CAMB and CosmoMC to compute cosmic microwave background angular power spectra and perform likelihood analysis and parameter estimation. ModeCode is easily extendable to additional models of inflation, and future updates will include Bayesian model comparison. Errors from ModeCode contribute negligibly to the error budget for analyses of data from Planck or other next generation experiments. We constrain representative single field models (phi^n with n=2/3, 1, 2, and 4, natural inflation, and "hilltop" inflation) using current data, and provide forecasts for Planck. From current data, we obtain weak but nontrivial limits on the post-inflationary physics, which is a significant source of uncertainty in the predictions of inflationary models, while we find that Planck will dramatically improve these constraints. In particular, Planck will link the inflationary dynamics with the post-inflationary growth of the horizon, and thus begin to probe the "primordial dark ages" between TeV and GUT scale energies.

Michael J. Mortonson; Hiranya V. Peiris; Richard Easther

2010-07-23T23:59:59.000Z

25

Quantum parameter estimation using general single-mode Gaussian states  

E-Print Network (OSTI)

We calculate the quantum Cram\\'er--Rao bound for the sensitivity with which one or several parameters, encoded in a general single-mode Gaussian state, can be estimated. This includes in particular the interesting case of mixed Gaussian states. We apply the formula to the problems of estimating phase, purity, loss, amplitude, and squeezing. In the case of the simultaneous measurement of several parameters, we provide the full quantum Fisher information matrix. Our results unify previously known partial results, and constitute a complete solution to the problem of knowing the best possible sensitivity of measurements based on a single-mode Gaussian state.

Olivier Pinel; Pu Jian; Claude Fabre; Nicolas Treps; Daniel Braun

2013-06-19T23:59:59.000Z

26

Gravitational wave parameter estimation with compressed likelihood evaluations  

E-Print Network (OSTI)

One of the main bottlenecks in gravitational wave (GW) astronomy is the high cost of performing parameter estimation and GW searches on the fly. We propose a novel technique based on Reduced Order Quadratures (ROQs), an application and data-specific quadrature rule, to perform fast and accurate likelihood evaluations. These are the dominant cost in Markov chain Monte Carlo (MCMC) algorithms, which are widely employed in parameter estimation studies, and so ROQs offer a new way to accelerate GW parameter estimation. We illustrate our approach using a four dimensional GW burst model embedded in noise. We build an ROQ for this model, and perform four dimensional MCMC searches with both the standard and ROQs quadrature rules, showing that, for this model, the ROQ approach is around 25 times faster than the standard approach with essentially no loss of accuracy. The speed-up from using ROQs is expected to increase for more complex GW signal models and therefore has significant potential to accelerate parameter estimation of GW sources such as compact binary coalescences.

Priscilla Canizares; Scott E. Field; Jonathan R. Gair; Manuel Tiglio

2013-04-01T23:59:59.000Z

27

Estimation of uncertain material parameters using modal test data  

DOE Green Energy (OSTI)

Analytical models of wind turbine blades have many uncertainties, particularly with composite construction where material properties and cross-sectional dimension may not be known or precisely controllable. In this paper the authors demonstrate how modal testing can be used to estimate important material parameters and to update and improve a finite-element (FE) model of a prototype wind turbine blade. An example of prototype blade is used here to demonstrate how model parameters can be identified. The starting point is an FE model of the blade, using best estimates for the material constants. Frequencies of the lowest fourteen modes are used as the basis for comparisons between model predictions and test data. Natural frequencies and mode shapes calculated with the FE model are used in an optimal test design code to select instrumentation (accelerometer) and excitation locations that capture all the desired mode shapes. The FE model is also used to calculate sensitivities of the modal frequencies to each of the uncertain material parameters. These parameters are estimated, or updated, using a weighted least-squares technique to minimize the difference between test frequencies and predicted results. Updated material properties are determined for axial, transverse, and shear moduli in two separate regions of the blade cross section: in the central box, and in the leading and trailing panels. Static FE analyses are then conducted with the updated material parameters to determine changes in effective beam stiffness and buckling loads.

Veers, P.S.; Laird, D.L.; Carne, T.G.; Sagartz, M.J.

1997-11-01T23:59:59.000Z

28

Estimation of stellar atmospheric parameters from SDSS/SEGUE spectra  

E-Print Network (OSTI)

We present techniques for the estimation of stellar atmospheric parameters (Teff,logg,[Fe/H]) for stars from the SDSS/SEGUE survey. The atmospheric parameters are derived from the observed medium-resolution (R=2000) stellar spectra using non-linear regression models trained either on (1) pre-classified observed data or (2) synthetic stellar spectra. In the first case we use our models to automate and generalize parametrization produced by a preliminary version of the SDSS/SEGUE Spectroscopic Parameter Pipeline (SSPP). In the second case we directly model the mapping between synthetic spectra (derived from Kurucz model atmospheres) and the atmospheric parameters, independently of any intermediate estimates. After training, we apply our models to various samples of SDSS spectra to derive atmospheric parameters, and compare our results with those obtained previously by the SSPP for the same samples. We obtain consistency between the two approaches, with RMS deviations of 150K in Teff, 0.35dex in logg, and 0.22dex in [Fe/H]. The models are applied to pre-processed spectra, either via Principal Components Analysis or a Wavelength Range Selection method, which employs a subset of the full 3850-9000A spectral range. This is both for computational reasons, and because it delivers higher accuracy. From an analysis of cluster candidates with available SDSS spectroscopy (M15, M13, M2, and NGC2420), we find evidence for small systematic offsets in Teff and/or logg for the atmospheric parameter estimates from the model trained on real data with the SSPP. Thus, this model turns out to derive more precise, but less accurate, atmospheric parameters than the model trained on synthetic data.

P. Re Fiorentin; C. A. L. Bailer-Jones; Y. S. Lee; T. C. Beers; T. Sivarani; R. Wilhelm; C. Allende Prieto; J. E. Norris

2007-03-13T23:59:59.000Z

29

Force Field Parameter Estimation of Functional Perfluoropolyether Lubricants  

SciTech Connect

The head disk interface in hard disk drive can be considered one of the hierarchical multiscale systems, which require the hybridization of multiscale modeling methods with coarse-graining procedure. However, the fundamental force field parameters are required to enable the coarse-graining procedure from atomistic/molecular scale to mesoscale models .In this paper, we investigate beyond molecular level and perform ab-initio calculations to obtain the force field parameters. Intramolecular force field parameters for the Zdol and Ztetraol were evaluated with truncated PFPE molecules to allow for feasible quantum calculations while still maintaining the characteristic chemical structure of the end groups. Using the harmonic approximation to the bond and angle potentials, the parameters were derived from the Hessian matrix, and the dihedral force constants are fit to the torsional energy profiles generated by a series of constrained molecular geometry optimization.

Smith, R.; Chung, P.S; Steckel, J.A.; Jhon, M.S; Biegler, L.T.

2011-01-01T23:59:59.000Z

30

Frequency Tracking and Parameter Estimation for Robust Quantum State-Estimation  

E-Print Network (OSTI)

In this paper we consider the problem of tracking the state of a quantum system via a continuous measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state-estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency

Jason F. Ralph; Kurt Jacobs; Charles D. Hill

2009-07-29T23:59:59.000Z

31

Bayesian Methods for Parameter Estimation in Effective Field Theories  

E-Print Network (OSTI)

We demonstrate and explicate Bayesian methods for fitting the parameters that encode the impact of short-distance physics on observables in effective field theories (EFTs). We use Bayes' theorem together with the principle of maximum entropy to account for the prior information that these parameters should be natural, i.e.O(1) in appropriate units. Marginalization can then be employed to integrate the resulting probability density function (pdf) over the EFT parameters that are not of specific interest in the fit. We also explore marginalization over the order of the EFT calculation, M, and over the variable, R, that encodes the inherent ambiguity in the notion that these parameters are O(1). This results in a very general formula for the pdf of the EFT parameters of interest given a data set, D. We use this formula and the simpler "augmented chi-squared" in a toy problem for which we generate pseudo-data. These Bayesian methods, when used in combination with the "naturalness prior", facilitate reliable extractions of EFT parameters in cases where chi-squared methods are ambiguous at best. We also examine the problem of extracting the nucleon mass in the chiral limit, M_0, and the nucleon sigma term, from pseudo-data on the nucleon mass as a function of the pion mass. We find that Bayesian techniques can provide reliable information on M_0, even if some of the data points used for the extraction lie outside the region of applicability of the EFT.

Matthias R. Schindler; Daniel R. Phillips

2008-08-27T23:59:59.000Z

32

Estimating parameters of coalescing compact binaries with a detector network including LIGO Australia  

E-Print Network (OSTI)

One of the goals of gravitational-wave astronomy is simultaneous detection of gravitational-wave signals from merging compact-object binaries and the electromagnetic transients from these mergers. With the next generation of advanced ground-based gravitational wave detectors under construction, we examine the benefits of the proposed extension of the detector network to include a fourth site in Australia in addition to the network of Hanford, Livingston and Cascina sites. Using Bayesian parameter-estimation analyses of simulated gravitational-wave signals from a range of coalescing-binary locations and orientations, we study the improvement in parameter estimation. We find that an Australian detector can break degeneracies in several parameters; in particular, the localization of the source on the sky is improved by a factor of ~4, with more modest improvements in distance and binary inclination estimates. This enhanced ability to localize sources on the sky will be crucial in any search for electromagnetic c...

Aylott, Benjamin; Kalogera, Vassiliki; Mandel, Ilya; Raymond, Vivien; Rodriguez, Carl; van der Sluys, Marc; Vecchio, Alberto; Veitch, John

2011-01-01T23:59:59.000Z

33

EIA - Updated Capital Cost Estimates for Electricity Generation Plants  

U.S. Energy Information Administration (EIA)

... by the costs has changed significantly. Prior estimates were for a highly efficient plant employing gasification and a combined cycle generator; the new ...

34

Bayesian parameter estimation in the second LISA Pathfinder Mock Data Challenge  

E-Print Network (OSTI)

A main scientific output of the LISA Pathfinder mission is to provide a noise model that can be extended to the future gravitational wave observatory, LISA. The success of the mission depends thus upon a deep understanding of the instrument, especially the ability to correctly determine the parameters of the underlying noise model. In this work we estimate the parameters of a simplified model of the LISA Technology Package (LTP) instrument. We describe the LTP by means of a closed-loop model that is used to generate the data, both injected signals and noise. Then, parameters are estimated using a Bayesian framework and it is shown that this method reaches the optimal attainable error, the Cramer-Rao bound. We also address an important issue for the mission: how to efficiently combine the results of different experiments to obtain a unique set of parameters describing the instrument.

M. Nofrarias; C. Röver; M. Hewitson; A. Monsky; G. Heinzel; K. Danzmann; L. Ferraioli; M. Hueller; S. Vitale

2010-08-31T23:59:59.000Z

35

SLCA/IP Hydro Generation Estimates Month Forecast Generation  

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

Less Proj. Use (kWh) Net Generation (kWh) SHP Deliveries (kWh) Firming Purchases (kWh) Generation above SHP Level (kWH) 2012-Oct 253,769,055 13,095,926 240,673,129 398,608,181...

36

Parameter estimation using NOON states over a relativistic quantum channel  

E-Print Network (OSTI)

We study the effect of the acceleration of the observer on a parameter estimation protocol using NOON states. An inertial observer, Alice, prepares a NOON state in Unruh modes of the quantum field, and sends it to an accelerated observer, Rob. We calculate the quantum Fisher information of the state received by Rob. We find the counter-intuitive result that the single rail encoding outperforms the dual rail. The NOON states have an optimal $N$ for the maximum information extractable by Rob, given his acceleration. This optimal $N$ decreases with increasing acceleration.

Dominic Hosler; Pieter Kok

2013-06-13T23:59:59.000Z

37

Estimation of the shape parameter k of the negative binomial distribution  

Science Conference Proceedings (OSTI)

Using approximate Bayesian methods, an estimator of the shape parameter of the negative binomial distribution is introduced. Most of the available estimators of this parameter, such as the method of moment and the maximum likelihood estimators (MME and ... Keywords: Bayes-like estimator, maximum likelihood estimator, method of moments estimator, negative binomial distribution

Mohammad F. Al-Saleh; Fatima K. Al-Batainah

2003-11-01T23:59:59.000Z

38

The generation of shared cryptographic keys through channel impulse response estimation at 60 GHz.  

SciTech Connect

Methods to generate private keys based on wireless channel characteristics have been proposed as an alternative to standard key-management schemes. In this work, we discuss past work in the field and offer a generalized scheme for the generation of private keys using uncorrelated channels in multiple domains. Proposed cognitive enhancements measure channel characteristics, to dynamically change transmission and reception parameters as well as estimate private key randomness and expiration times. Finally, results are presented on the implementation of a system for the generation of private keys for cryptographic communications using channel impulse-response estimation at 60 GHz. The testbed is composed of commercial millimeter-wave VubIQ transceivers, laboratory equipment, and software implemented in MATLAB. Novel cognitive enhancements are demonstrated, using channel estimation to dynamically change system parameters and estimate cryptographic key strength. We show for a complex channel that secret key generation can be accomplished on the order of 100 kb/s.

Young, Derek P.; Forman, Michael A.; Dowdle, Donald Ryan

2010-09-01T23:59:59.000Z

39

Towards Rapid Parameter Estimation on Gravitational Waves from Compact Binaries using Interpolated Waveforms  

E-Print Network (OSTI)

Accurate parameter estimation of gravitational waves from coalescing compact binary sources is a key requirement for gravitational-wave astronomy. Evaluating the posterior probability density function of the binary's parameters (component masses, sky location, distance, etc.) requires computing millions of waveforms. The computational expense of parameter estimation is dominated by waveform generation and scales linearly with the waveform computational cost. Previous work showed that gravitational waveforms from non-spinning compact binary sources are amenable to a truncated singular value decomposition, which allows them to be reconstructed via interpolation at fixed computational cost. However, the accuracy requirement for parameter estimation is typically higher than for searches, so it is crucial to ascertain that interpolation does not lead to significant errors. Here we provide a proof of principle to show that interpolated waveforms can be used to recover posterior probability density functions with negligible loss in accuracy with respect to non-interpolated waveforms. This technique has the potential to significantly increase the efficiency of parameter estimation.

R. J. E. Smith; K. Cannon; C. Hanna; D. Keppel; I. Mandel

2012-11-06T23:59:59.000Z

40

Exploring the evolution of color-luminosity parameter $\\beta$ and its effects on parameter estimation  

E-Print Network (OSTI)

In Phys. Rev. D 88, 043511 (2013), using the Supernova Legacy Survey Three Year (SNLS3) data, Wang & Wang found that there is a strong evidence for the redshift-evolution of color-luminosity parameter $\\beta$. In this paper, using three simplest dark energy models ($\\Lambda$CDM, $w$CDM, and CPL), we further explore the evolution of $\\beta$ and its effects on parameter estimation. In addition to the SNLS3 data, we also take into account the Planck distance priors data, as well as the latest galaxy clustering (GC) data extracted from SDSS DR7 and BOSS. We find that, for all the models, $\\beta$ deviates from a constant at 5$\\sigma$ confidence levels. Moreover, adding a parameter of $\\beta$ can reduce the best-fit values of $\\chi^2$ by $\\sim$ 35, showing the importance of considering the evolution of $\\beta$ in the cosmology-fits. We find that, using the SNLS3 data alone, varying $\\beta$ yields a larger $\\Omega_m$ for the $\\Lambda$CDM model; using the SNLS3+CMB+GC data, varying $\\beta$ yields a larger $\\Omega...

Wang, Shuang; Zhang, Xin

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Dependence of the Photon Beam Characteristics on Electron Beam Parameters in Third Generation Synchrotron Light Sources  

E-Print Network (OSTI)

Dependence of the Photon Beam Characteristics on Electron Beam Parameters in Third Generation Synchrotron Light Sources

Ivanyan, M I; Tsakanov, V M

2002-01-01T23:59:59.000Z

42

INNOVATIVE CONCEPTS FOR ON-LINE SYNCHRONOUS GENERATOR PARAMETER ESTIMATION  

E-Print Network (OSTI)

Explorer 3 WS Executor 5 Invocation Analyzer 6 Community Annotations Handler 7 Service Consumer Service Focused Crawler 1 WS Explorer 3 WS Executor 5 Invocation Analyzer 6 Community Annotations Handler 7 WS Community Annotations Handler 7 WS Recommender 8 Service Consumer Service Registry Service Provider Publish

43

Estimating parameters of coalescing compact binaries with a detector network including LIGO Australia  

E-Print Network (OSTI)

One of the goals of gravitational-wave astronomy is simultaneous detection of gravitational-wave signals from merging compact-object binaries and the electromagnetic transients from these mergers. With the next generation of advanced ground-based gravitational wave detectors under construction, we examine the benefits of the proposed extension of the detector network to include a fourth site in Australia in addition to the network of Hanford, Livingston and Cascina sites. Using Bayesian parameter-estimation analyses of simulated gravitational-wave signals from a range of coalescing-binary locations and orientations, we study the improvement in parameter estimation. We find that an Australian detector can break degeneracies in several parameters; in particular, the localization of the source on the sky is improved by a factor of ~4, with more modest improvements in distance and binary inclination estimates. This enhanced ability to localize sources on the sky will be crucial in any search for electromagnetic counterparts to detected gravitational-wave signals.

Benjamin Aylott; Benjamin Farr; Vassiliki Kalogera; Ilya Mandel; Vivien Raymond; Carl Rodriguez; Marc van der Sluys; Alberto Vecchio; John Veitch

2011-06-13T23:59:59.000Z

44

Simplified Approach for Estimating Impacts of Electricity Generation  

Open Energy Info (EERE)

Simplified Approach for Estimating Impacts of Electricity Generation Simplified Approach for Estimating Impacts of Electricity Generation (SIMPACTS) Jump to: navigation, search Tool Summary Name: Simplified Approach for Estimating Impacts of Electricity Generation (SIMPACTS) Agency/Company /Organization: International Atomic Energy Agency Sector: Energy Focus Area: Agriculture, Energy Efficiency, Forestry Topics: Co-benefits assessment, - Environmental and Biodiversity, - Health Resource Type: Software/modeling tools Complexity/Ease of Use: Advanced Website: www.iaea.org/OurWork/ST/NE/Pess/PESSenergymodels.shtml References: Overview of IAEA PESS Models [1] Related Tools DNE21+ Integrated Global System Modeling Framework Prospective Outlook on Long-Term Energy Systems (POLES) ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS

45

An electromagnetic and thermodynamic lumped parameter model of an explosively driven regenerative magnetohydrodynamic generator  

DOE Green Energy (OSTI)

The objective of this research is to develop a simple, yet accurate, lumped parameter mathematical model for an explosively driven magnetohydrodynamic generator that can predict the pulse power variables of voltage and current from startup through regenerative operation. The inputs to the model will be the plasma properties entering the generator as predicted by the explosive shock model of Reference [1]. The strategy used was to simplify electromagnetic and thermodynamic three dimensional effects into a zero dimensional model. The model will provide a convenient tool for researchers to optimize designs to be used in pulse power applications. The model is validated using experimental data of Reference [1]. An overview of the operation of the explosively driven generator is first presented. Then a simplified electrical circuit model that describes basic performance of the device is developed. Then a lumped parameter model that incorporates the coupled electromagnetic and thermodynamic effects that govern generator performance is described and developed. The model is based on fundamental physical principles and parameters that were either obtained directly from design data or estimated from experimental data. The model was used to obtain parameter sensitivities and predict beyond the limits observed in the experiments to the levels desired by the potential Department of Defense sponsors. The model identifies process limitations that provide direction for future research.

Morrison, J.L.

1992-12-01T23:59:59.000Z

46

UWB channel estimation using new generating TR transceivers  

SciTech Connect

The present invention presents a simple and novel channel estimation scheme for UWB communication systems. As disclosed herein, the present invention maximizes the extraction of information by incorporating a new generation of transmitted-reference (Tr) transceivers that utilize a single reference pulse(s) or a preamble of reference pulses to provide improved channel estimation while offering higher Bit Error Rate (BER) performance and data rates without diluting the transmitter power.

Nekoogar, Faranak (San Ramon, CA); Dowla, Farid U. (Castro Valley, CA); Spiridon, Alex (Palo Alto, CA); Haugen, Peter C. (Livermore, CA); Benzel, Dave M. (Livermore, CA)

2011-06-28T23:59:59.000Z

47

Use of Dual-Wavelength Radar for Snow Parameter Estimates  

Science Conference Proceedings (OSTI)

Use of dual-wavelength radar, with properly chosen wavelengths, will significantly lessen the ambiguities in the retrieval of microphysical properties of hydrometeors. In this paper, a dual-wavelength algorithm is described to estimate the ...

Liang Liao; Robert Meneghini; Toshio Iguchi; Andrew Detwiler

2005-10-01T23:59:59.000Z

48

Parameter estimation for performance models of distributed application systems  

Science Conference Proceedings (OSTI)

The performance engineering of distributed applications requires models that capture contention for both hardware and software resources. Layered queueing models have been proposed for modeling distributed applications but they require model parameters ...

Jerome Rolia; Vidar Vetland

1995-11-01T23:59:59.000Z

49

A Study of Tracer Distribution Parameter Estimation from Sparse Samples  

Science Conference Proceedings (OSTI)

How do design parameters such as the spacing of sampling stations affect the quality of information obtained from atmospheric dispersion experiments? In large-scale experiments such as the Cross-Appalachian Tracer Experiment (CAPTEX) and the ...

J. Z. Holland

1991-01-01T23:59:59.000Z

50

Sinewave parameter estimation using the fast fan-chirp transform  

E-Print Network (OSTI)

Sinewave analysis/synthesis has long been an important tool for audio analysis, modification and synthesis. The recently introduced fan-chirp Transform (FChT) [2,3] has been shown to improve the fidelity of sinewave parameter ...

Dunn, Robert B.

51

Estimating Building Simulation Parameters via Bayesian Structure Learning  

SciTech Connect

Many key building design policies are made using sophisticated computer simulations such as EnergyPlus (E+), the DOE flagship whole-building energy simulation engine. E+ and other sophisticated computer simulations have several major problems. The two main issues are 1) gaps between the simulation model and the actual structure, and 2) limitations of the modeling engine's capabilities. Currently, these problems are addressed by having an engineer manually calibrate simulation parameters to real world data or using algorithmic optimization methods to adjust the building parameters. However, some simulations engines, like E+, are computationally expensive, which makes repeatedly evaluating the simulation engine costly. This work explores addressing this issue by automatically discovering the simulation's internal input and output dependencies from 20 Gigabytes of E+ simulation data, future extensions will use 200 Terabytes of E+ simulation data. The model is validated by inferring building parameters for E+ simulations with ground truth building parameters. Our results indicate that the model accurately represents parameter means with some deviation from the means, but does not support inferring parameter values that exist on the distribution's tail.

Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

2013-01-01T23:59:59.000Z

52

Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants  

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

Updated Capital Cost Estimates Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants April 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants ii This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies.

53

Evaluation of model parameter convergence when using data assimilation for soil moisture estimation  

Science Conference Proceedings (OSTI)

Data assimilation (DA) methods are commonly used for finding a compromise between imperfect observations and uncertain model predictions. The estimation of model states and parameters has been widely recognized, but the convergence of estimated ...

Gift Dumedah; Jeffrey P. Walker

54

The Bias in Moment Estimators for Parameters of Drop Size Distribution Functions: Sampling from Exponential Distributions  

Science Conference Proceedings (OSTI)

The moment estimators frequently used to estimate parameters for drop size distribution (DSD) functions being “fitted” to observed raindrop size distributions are biased. Consequently, the fitted functions often do not represent well either the ...

Paul L. Smith; Donna V. Kliche

2005-08-01T23:59:59.000Z

55

Estimation of the parameters of life for Gompertz distribution using progressive first-failure censored data  

Science Conference Proceedings (OSTI)

Bayes and frequentist estimators are obtained for the two-parameter Gompertz distribution (GD), as well as the reliability and hazard rate functions, using progressive first-failure censoring plan. We have examined Bayes estimates under symmetric and ... Keywords: Bayesian estimator, Confidence intervals, Confidence regions, Gompertz distribution, Maximum likelihood estimator, Progressive first-failure censoring scheme, Symmetric and asymmetric loss functions

Ahmed A. Soliman; Ahmed H. Abd-Ellah; Naser A. Abou-Elheggag; Gamal A. Abd-Elmougod

2012-08-01T23:59:59.000Z

56

Uncertainty estimation of core safety parameters using cross-correlations of covariance matrix  

Science Conference Proceedings (OSTI)

An uncertainty estimation method for core safety parameters, for which measurement values are not obtained, is proposed. We empirically recognize the correlations among the prediction errors among core safety parameters, e.g., a correlation between the control rod worth and assembly relative power of corresponding position. Correlations of uncertainties among core safety parameters are theoretically estimated using the covariance of cross sections and sensitivity coefficients for core parameters. The estimated correlations among core safety parameters are verified through the direct Monte-Carlo sampling method. Once the correlation of uncertainties among core safety parameters is known, we can estimate the uncertainty of a safety parameter for which measurement value is not obtained. Furthermore, the correlations can be also used for the reduction of uncertainties of core safety parameters. (authors)

Yamamoto, A.; Yasue, Y.; Endo, T. [Graduate School of Engineering, Nagoya Univ., Furo-cho, Chikusa-ku, Nagoya (Japan); Kodama, Y.; Ohoka, Y.; Tatsumi, M. [Nuclear Fuel Industries, Ltd., Asashiro-nishi, Kumatori-cho, Osaka (Japan)

2012-07-01T23:59:59.000Z

57

Enhancing parameter estimation of biochemical networks by exponentially scaled search steps  

Science Conference Proceedings (OSTI)

A fundamental problem of modelling in Systems Biology is to precisely characterise quantitative parameters, which are hard to measure experimentally. For this reason, it is common practise to estimate these parameter values, using evolutionary and other ...

Hendrik Rohn; Bashar Ibrahim; Thorsten Lenser; Thomas Hinze; Peter Dittrich

2008-03-01T23:59:59.000Z

58

Inverse Parameter Estimation of the Turbulent Surface Layer from Single-Level Data and Surface Temperature  

Science Conference Proceedings (OSTI)

A simple inverse parameter estimation method is used in a practical diagnostic approach to obtain the surface roughness lengths and surface resistance parameters from a chi-square cost function containing measurements of wind speed and air ...

P. Martano

2008-04-01T23:59:59.000Z

59

Parameter estimation of permanent magnet stepper motors without position or velocity sensors  

E-Print Network (OSTI)

Parameter estimation of permanent magnet stepper motors without position or velocity sensors Romain identification method for permanent magnet stepper motors. Current sensors are assumed available, but position magnet stepper motors, syn- chronous motors, sensorless systems, parameter identification, elimination

Paris-Sud XI, Université de

60

Rainfall-Rate Estimation Using Gaussian Mixture Parameter Estimator: Training and Validation  

Science Conference Proceedings (OSTI)

This study develops a Gaussian mixture rainfall-rate estimator (GMRE) for polarimetric radar-based rainfall-rate estimation, following a general framework based on the Gaussian mixture model and Bayes least squares estimation for weather radar–...

Zhengzheng Li; Yan Zhang; Scott E. Giangrande

2012-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Analytic Estimate of the Order Parameter for Monopole Condensation in QCD  

E-Print Network (OSTI)

The disorder parameter $$ for the condensation of monopoles in QCD is estimated analytically in terms of gauge invariant field strength correlators. The continuum limit is discussed.

Adriano Di Giacomo

2006-10-18T23:59:59.000Z

62

Model-based estimation of time-varying parameters and state variables in aerobic bioprocesses  

Science Conference Proceedings (OSTI)

Keywords: adaptive observer, aerobic bioprocess, biomass concentration, biomass growth rate, model-based estimation, observer stability, oxygen comsumption, time-varying parameters, yield coefficient

V. Lubenova

2000-08-01T23:59:59.000Z

63

Methodologies for estimating one-time hazardous waste generation for capacity generation for capacity assurance planning  

Science Conference Proceedings (OSTI)

This report contains descriptions of methodologies to be used to estimate the one-time generation of hazardous waste associated with five different types of remediation programs: Superfund sites, RCRA Corrective Actions, Federal Facilities, Underground Storage Tanks, and State and Private Programs. Estimates of the amount of hazardous wastes generated from these sources to be shipped off-site to commercial hazardous waste treatment and disposal facilities will be made on a state by state basis for the years 1993, 1999, and 2013. In most cases, estimates will be made for the intervening years, also.

Tonn, B.; Hwang, Ho-Ling; Elliot, S. [Oak Ridge National Lab., TN (United States); Peretz, J.; Bohm, R.; Hendrucko, B. [Univ. of Tennessee, Knoxville, TN (United States)

1994-04-01T23:59:59.000Z

64

Poisson intensity parameter estimation for stationary Gibbs point processes  

E-Print Network (OSTI)

-16Oct2012 #12;[3] J.-M. Billiot, J.-F. Coeurjolly, and R. Drouilhet. Maximum pseudolikelihood estimator. [4] J.-F. Coeurjolly, D. Dereudre, R. Drouilhet, and F. Lavancier. Takacs-Fiksel method, New York, 1988. [7] D. Dereudre, R. Drouilhet, and H.O. Georgii. Existence of Gibbsian point processes

65

Asymptotically efficient parameter estimation using quantized output observations  

Science Conference Proceedings (OSTI)

This paper studies identification of systems in which only quantized output observations are available. An identification algorithm for system gains is introduced that employs empirical measures from multiple sensor thresholds and optimizes their convex ... Keywords: Cramér-Rao bound, Efficient estimator, Quantized observation, System identification

Le Yi Wang; G. George Yin

2007-07-01T23:59:59.000Z

66

Algorithms for estimating visual motion parameters from ganglion cell responses  

E-Print Network (OSTI)

This thesis is intended to present a specific sub-problem of a larger one we call the "Inverse Problem". We wish to estimate the velocity (speed and direction) of an edge of light which is moving on the photoreceptor layer ...

Valavanis, Stavros

2008-01-01T23:59:59.000Z

67

MODELING OF RESERVOIR TEMPERATURE TRANSIENTS, AND PARAMETER ESTIMATION  

E-Print Network (OSTI)

Conditional Expectations (ACE) ACE is a nonparametric iterative approach at estimating optimal transformations transformations (Y ), 1(X1), ..., p(Xp) fulfill the maximal correla- tion condition because, as shown . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.2 Alternating Conditional Expectations (ACE) . . . . . . . . . . . . . . 8 3.2.1 Optimal

68

Bayesian estimation of pulsar parameters from gravitational wave data  

E-Print Network (OSTI)

We present a method of searching for, and parameterizing, signals from known radio pulsars in data from interferometric gravitational wave detectors. This method has been applied to data from the LIGO and GEO 600 detectors to set upper limits on the gravitational wave emission from several radio pulsars. Here we discuss the nature of the signal and the performance of the technique on simulated data. We show how to perform a coherent multiple detector analysis and give some insight in the covariance between the signal parameters.

Réjean J. Dupuis; Graham Woan

2005-08-23T23:59:59.000Z

69

An iterative stochastic ensemble method for parameter estimation of subsurface flow models  

Science Conference Proceedings (OSTI)

Parameter estimation for subsurface flow models is an essential step for maximizing the value of numerical simulations for future prediction and the development of effective control strategies. We propose the iterative stochastic ensemble method (ISEM) ... Keywords: Iterative stochastic ensemble method, Parameter estimation, Regularization, Subsurface flow models

Ahmed H. Elsheikh, Mary F. Wheeler, Ibrahim Hoteit

2013-06-01T23:59:59.000Z

70

Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process  

Science Conference Proceedings (OSTI)

In this paper, a hybrid intelligent parameter estimation algorithm is proposed for predicting the strip temperature during laminar cooling process. The algorithm combines a hybrid genetic algorithm (HGA) with grey case-based reasoning (GCBR) in order ... Keywords: Grey case-based reasoning, Hybrid genetic algorithm, Laminar cooling process, Parameter estimation

Guishan Xing; Jinliang Ding; Tianyou Chai; Puya Afshar; Hong Wang

2012-03-01T23:59:59.000Z

71

Outline The Ensemble Kalman Filter Parameter estimation Test example Conclusion History matching via  

E-Print Network (OSTI)

Outline The Ensemble Kalman Filter Parameter estimation Test example Conclusion History matching estimation Test example Conclusion Test case setup · For the test case we use CERE's own in-house Black Oil estimation Test example Conclusion Test case setup · For the test case we use CERE's own in-house Black Oil

Mosegaard, Klaus

72

Estimation of Gamma Raindrop Size Distribution Parameters: Statistical Fluctuations and Estimation Errors  

Science Conference Proceedings (OSTI)

The gamma distribution is often used to characterize raindrop size distributions (DSDs). However, the estimation of measured raindrop distributions suffers from the shortcomings of statistical sampling errors, which become increasingly ...

Cécile Mallet; Laurent Barthes

2009-08-01T23:59:59.000Z

73

Meteorological parameters effects on solar energy power generation  

Science Conference Proceedings (OSTI)

As Turkey lies near the sunny belt between 36 and 42°N latitudes, most of the locations in Turkey receive abundant solar energy. The yearly average solar radiation is 3.6 kWh/m2 day, and the total yearly radiation period is approximately ... Keywords: D.C. loads, electrical energy, energy consumption, meteorological parameters, photovoltaic system

?afak Sa?lam

2010-10-01T23:59:59.000Z

74

The Estimation of Rainfall Parameters Using Spaceborne and Airborne Nadir-Pointing Radars  

Science Conference Proceedings (OSTI)

When pointed toward ground, spaceborne and airborne radars must use several frequencies in order to estimate rainfall parameters. It is now well known, for example, that the differences between specific attenuations at different frequencies ...

A. R. Jameson

1994-02-01T23:59:59.000Z

75

A New Approach to Estimate Directional Spreading Parameters of a Cosine-2s Model  

Science Conference Proceedings (OSTI)

For accurate and consistent estimates of the directional spreading parameter and mean wave direction of directional seas based on a cosine-2s directional spreading model, a new approach is proposed, employing a maximum likelihood method (MLM) to ...

Shaosong Zhang; Jun Zhang

2006-02-01T23:59:59.000Z

76

Equations for Estimating the Similarity Parameter from Radiation Measurements within Weakly Absorbing Optically Thick Clouds  

Science Conference Proceedings (OSTI)

Series expansions are derived for estimating the similarity parameter, which is a combination of the single-scattering albedo and asymmetry factor, from radiance measurement deep in the interior of a weary absorbing cloud. One expansion requires ...

T. Duracz; N. J. McCormick

1986-03-01T23:59:59.000Z

77

The Use of the Weibull Three-Parameter Model for Estimating Mean Wind Power Densities  

Science Conference Proceedings (OSTI)

The Weibull three-parameter model is discussed for estimation of mean wind power densities. This probability density function is a generalization of a number of more conventional density functions. Using wind speed observations, it is shown that ...

L. Van Der Auwera; F. De Meyer; L. M. Malet

1980-07-01T23:59:59.000Z

78

Parameter Estimation for Marked Point Processes. Application to Object Extraction from Remote Sensing Images  

Science Conference Proceedings (OSTI)

This communication addresses the problem of estimating the parameters of a family of marked point processes. These processes are of interest in extraction of object networks from remote sensing images. They are defined from a combination of several energy ...

Florent Chatelain; Xavier Descombes; Josiane Zerubia

2009-08-01T23:59:59.000Z

79

Joint symbol detection and channel parameter estimation in asynchronous DS-CDMA systems  

Science Conference Proceedings (OSTI)

A method for jointly estimating the time delay and complex gain parameters, as well as detecting the transmitted symbols in an asynchronous multipath DS-CDMA system, is presented. A short training sequence is used to obtain a coarse estimate of the channel ...

A. Ranheim; P. Pelin

2000-02-01T23:59:59.000Z

80

Mobile Sensor Routing for Parameter Estimation of Distributed Systems Using the Parallel Tunneling Method  

Science Conference Proceedings (OSTI)

The paper deals with the problem of optimal path planning for a sensor network with mutliple mobile nodes, whose measurements are supposed to be primarily used to estimate unknown parameters of a system modelled by a partial differential equation. The ... Keywords: Distributed Parameter Systems, Optimum Experimental Design, Parallel Computing, Sensor Network, Tunneling Algorithm

Tomasz Zi?ba; Dariusz Uci?ski

2008-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Sequential parameter estimation of time-varying non-Gaussian autoregressive processes  

Science Conference Proceedings (OSTI)

Parameter estimation of time-varying non-Gaussian autoregressive processes can be a highly nonlinear problem. The problem gets even more difficult if the functional form of the time variation of the process parameters is unknown. In this paper, we address ... Keywords: Gaussian mixtures, forgetting factors, particle filtering, sequential importance sampling

Petar M. Djuri?; Jayesh H. Kotecha; Fabien Esteve; Etienne Perret

2002-01-01T23:59:59.000Z

82

A parameter estimation approach for non-linear systems biology models using spline approximation  

Science Conference Proceedings (OSTI)

Mathematical models for revealing the dynamics and interactions properties of biological systems play an important role in computational systems biology. The inference of model parameter values from time-course data can be considered as a "reverse engineering" ... Keywords: nonlinear programming, parameter estimation, spline

Choujun Zhan; Lam Fat Yeung

2010-08-01T23:59:59.000Z

83

Dual to ratio-cumproduct estimator using known parameters of auxiliary variables  

E-Print Network (OSTI)

This paper deals with the dual to ratio-cum-product estimator for population mean using known parameters of auxiliary variables. In this paper, dual to ratio-cum-product estimator of Singh and Tailor (2005) has been suggested. The Bias and mean squared error expressions have also been obtained up to the first degree of approximation. Suggested estimator has been compared theoretically as well as empirically.

Rajesh Tailor; Ritesh Tailor; Rajesh Parmar; Manish Kumar

2012-01-01T23:59:59.000Z

84

A Simplified Lumped Parameter Model for U-Tube Steam Generator  

Science Conference Proceedings (OSTI)

A simplified lumped parameter model for U-tube steam generator (UTSG) is presented, according to its working principle and the mass and energy conservation theory as well as the principle of thermal system dynamics. A three-element controller of water ... Keywords: Steam generator, Lumped parameter, Dynamic, Simplified

Zhang Yongsheng; Ma Yunyi

2010-06-01T23:59:59.000Z

85

HEURISTIC APPROACH FOR OPTIMAL PARAMETER ESTIMATION OF ELECTRIC LOAD FORECAST MODEL  

Science Conference Proceedings (OSTI)

Load forecasting is a crucial aspect of electric power system planning and operation. This paper presents a heuristic approach for optimal parameter estimation of long term load forecast models. The problem is viewed as an optimization one in which the goal is to minimize the total estimation error by properly adjusting the model coefficients. A particle swarm optimization algorithm is developed to minimize the error associated with the estimated model parameters. Real data of Egyptian network is used to perform this study. Results are reported and compared to those obtained using the well known least error squares estimation technique. Comparison results are in favor of the proposed approach which signifies its potential as a promising estimation tool.

M. R. AlRashidi; K. M. EL?Naggar

2009-01-01T23:59:59.000Z

86

Systematic parameter estimation and sensitivity analysis using a multidimensional PEMFC model coupled with DAKOTA.  

DOE Green Energy (OSTI)

Current computational models for proton exchange membrane fuel cells (PEMFCs) include a large number of parameters such as boundary conditions, material properties, and numerous parameters used in sub-models for membrane transport, two-phase flow and electrochemistry. In order to successfully use a computational PEMFC model in design and optimization, it is important to identify critical parameters under a wide variety of operating conditions, such as relative humidity, current load, temperature, etc. Moreover, when experimental data is available in the form of polarization curves or local distribution of current and reactant/product species (e.g., O2, H2O concentrations), critical parameters can be estimated in order to enable the model to better fit the data. Sensitivity analysis and parameter estimation are typically performed using manual adjustment of parameters, which is also common in parameter studies. We present work to demonstrate a systematic approach based on using a widely available toolkit developed at Sandia called DAKOTA that supports many kinds of design studies, such as sensitivity analysis as well as optimization and uncertainty quantification. In the present work, we couple a multidimensional PEMFC model (which is being developed, tested and later validated in a joint effort by a team from Penn State Univ. and Sandia National Laboratories) with DAKOTA through the mapping of model parameters to system responses. Using this interface, we demonstrate the efficiency of performing simple parameter studies as well as identifying critical parameters using sensitivity analysis. Finally, we show examples of optimization and parameter estimation using the automated capability in DAKOTA.

Wang, Chao Yang (Penn State University, University Park, PA); Luo, Gang (Penn State University, University Park, PA); Jiang, Fangming (Penn State University, University Park, PA); Carnes, Brian; Chen, Ken Shuang

2010-05-01T23:59:59.000Z

87

Estimation of fracture flow parameters through numerical analysis of hydromechanical pressure pulses  

Science Conference Proceedings (OSTI)

The flow parameters of a natural fracture were estimated by modeling in situ pressure pulses. The pulses were generated in two horizontal boreholes spaced 1 m apart vertically and intersecting a near-vertical highly permeable fracture located within a shallow fractured carbonate reservoir. Fracture hydromechanical response was monitored using specialized fiber-optic borehole equipment that could simultaneously measure fluid pressure and fracture displacements. Measurements indicated a significant time lag between the pressure peak at the injection point and the one at the second measuring point, located 1 m away. The pressure pulse dilated and contracted the fracture. Field data were analyzed through hydraulic and coupled hydromechanical simulations using different governing flow laws. In matching the time lag between the pressure peaks at the two measuring points, our hydraulic models indicated that (1) flow was channeled in the fracture, (2) the hydraulic conductivity tensor was highly anisotropic, and (3) the radius of pulse influence was asymmetric, in that the pulse travelled faster vertically than horizontally. Moreover, our parametric study demonstrated that the fluid pressure diffusion through the fracture was quite sensitive to the spacing and orientation of channels, hydraulic aperture, storativity and hydraulic conductivity. Comparison between hydraulic and hydromechanical models showed that the deformation significantly affected fracture permeability and storativity, and consequently, the fluid pressure propagation, suggesting that the simultaneous measurements of pressure and mechanical displacement signals could substantially improve the interpretation of pulse tests during reservoir characterization.

Cappa, F.; Guglielmi, Y.; Rutqvist, J.; Tsang, C.-F.; Thoraval, A.

2008-03-16T23:59:59.000Z

88

Maximum likelihood parameter estimation in time series models using sequential Monte Carlo  

E-Print Network (OSTI)

is one complete browse of y1:2000. The true parameter values: ? = 10, ? = 0.1, ?1 = 1.78, ?2 = 3.56, ?1 = 0.30, ?2 = 0.03, ?1 = ?2 = 0.1, Pi,j = 0.5. . . . . . . . . . . . . . 87 4.3 SMC-FS batch EM estimates vs number of iterations for for the same y1... EM for NMF. The (i, j)’th subfigure shows the estimation result for the B(i, j) (horizontal lines). . . . . . . . . . . . . . 175 7.2 A realisation of {Xt(1)}t?1 for ? = 0.95. . . . . . . . . . . . . . . . . . . 176 7.3 Online estimation of B...

Yildirim, Sinan

2013-06-11T23:59:59.000Z

89

The lateral shower age parameter as an estimator of chemical composition  

E-Print Network (OSTI)

We explore the feasibility of estimating primary cosmic ray composition at ultra high energies from the study of lateral age parameter of Extensive Air Showers (EAS) at ground level. Using different types of lateral distribution functions, we fit the particle density of simulated EAS to find the lateral age parameter. We discuss the chemical composition calculating the merit factor for each parameter distribution. The analysis considers three different primary particles (proton, iron and gamma), four different zenith angles (0{\\deg}, 15{\\deg}, 30{\\deg} and 45{\\deg}) and three primary energies (10^{17.25} eV, 10^{17.50} eV and 10^{17.75} eV).

A. Tapia; D. Melo; F. Sánchez; A. Sedoski Croce; A. Etchegoyen; J. M. Figueira; R. F. Gamarra; B. García; N. González; M. Josebachuili; D. Ravignani; I. Sidelnik; B. Wundheiler

2013-09-13T23:59:59.000Z

90

Estimating home energy decision parameters for a hybrid energyYeconomy policy model  

E-Print Network (OSTI)

Estimating home energy decision parameters for a hybrid energyYeconomy policy model Mark JaccardYenvironment policy models To meet the challenge of an energyYenvironment issue such as greenhouse gas (GHG) emission with respect to energy use, and to specific policies aimed at advancing certain technologies over others. While

91

The Maximum-Likelihood Property of Estimators of Wave Parameters from Heave, Pitch, and Roll Buoys  

Science Conference Proceedings (OSTI)

It is shown that ocean-wave spectrum parameters obtained from spectra of time series measured with heave, pitch, and roll data buoys are maximum-likelihood (ML) estimators under certain assumptions about the wave field. A modified set of ML ...

Ingrid K. Glad; Harald E. Krogstad

1992-04-01T23:59:59.000Z

92

Context-aware parameter estimation for forecast models in the energy domain  

Science Conference Proceedings (OSTI)

Continuous balancing of energy demand and supply is a fundamental prerequisite for the stability and efficiency of energy grids. This balancing task requires accurate forecasts of future electricity consumption and production at any point in time. For ... Keywords: energy, forecasting, maintenance, parameter estimation

Lars Dannecker; Robert Schulze; Matthias Böhm; Wolfgang Lehner; Gregor Hackenbroich

2011-07-01T23:59:59.000Z

93

On-line parameter estimation of PMSM in open loop and closed loop  

Science Conference Proceedings (OSTI)

The paper discusses the multi-models approach for on-line parameter estimation of permanent magnet synchronous motor (PMSM). The study is focused on a PMSM with non sinusoidal electromotive force (emf) in open loop and closed loop conditions. The electrical ...

Makara Khov; Jeremi Regnier; Jean Faucher

2009-02-01T23:59:59.000Z

94

A condition-based maintenance policy and input parameters estimation for deteriorating systems under periodic inspection  

Science Conference Proceedings (OSTI)

This paper combines an optimization model and input parameters estimation from empirical data, in order to propose condition-based maintenance policies. The system deterioration is described by discrete states ordered from the state ''as good as new'' ... Keywords: Condition-based maintenance, Decision-making under uncertainty, Hidden Markov Models, Optimal control, Stochastic-dynamic programming

Maxstaley L. Neves; Leonardo P. Santiago; Carlos A. Maia

2011-10-01T23:59:59.000Z

95

Parameter and Hyperparameter Estimation in a Probabilistic Model of Information Retrieval  

E-Print Network (OSTI)

Parameter and Hyperparameter Estimation in a Probabilistic Model of Information Retrieval Bin Wu for information retrieval (IR). The documents, queries and relevancy assessment are modeled with explicit retrieval (IR) studies the problem of #12;nding some information from an information storage in response

Wong, Michael K Y

96

Estimation of feedwater heater parameters based on a grey-box approach  

Science Conference Proceedings (OSTI)

The first-principle modeling of a feedwater heater operating in a coal-fired power unit is presented, along with a theoretical discussion concerning its structural simplifications, parameter estimation, and dynamical validation. The model is a part of ... Keywords: First-Principle Model, Grey-Box, Heat Exchanger, Heater, System Identification

Tomasz Barszcz; Piotr Czop

2011-12-01T23:59:59.000Z

97

A revisit to block and recursive least squares for parameter estimation  

Science Conference Proceedings (OSTI)

In this paper, the classical least squares (LS) and recursive least squares (RLS) for parameter estimation have been re-examined in the light of the present day computing capabilities. It has been demonstrated that for linear time-invariant systems, ... Keywords: Blockwise least squares (BLS), Change detection, Recursive least squares (RLS), Sliding window blockwise least squares (SWBLS), Variable-length window

Jin Jiang; Youmin Zhang

2004-07-01T23:59:59.000Z

98

Embedded Estimation of Fault Parameters in an Unmanned Aerial Vehicle Sikandar Samar  

E-Print Network (OSTI)

Embedded Estimation of Fault Parameters in an Unmanned Aerial Vehicle Sikandar Samar Information of the Aerosonde unmanned aerial vehicle (UAV) in the presence of winds and turbulence. An excellent performance studied in the controls community for the past two decades; see survey papers [1], [2], [3

99

Extreme learning machine based wind speed estimation and sensorless control for wind turbine power generation system  

Science Conference Proceedings (OSTI)

This paper proposes a precise real-time wind speed estimation method and sensorless control for variable-speed variable-pitch wind turbine power generation system (WTPGS). The wind speed estimation is realized by a nonlinear input-output mapping extreme ... Keywords: Extreme learning machine, Sensorless control, Wind speed estimation, Wind turbine power generation system

Si Wu; Youyi Wang; Shijie Cheng

2013-02-01T23:59:59.000Z

100

Estimating Water Needs to Meet 2025 Electricity Generating Capacity...  

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

(fossil, nuclear, or biomass) to heat water to steam that is used to drive a turbine-generator. Steam exhausted from the turbine is condensed and recycled to a steam generator or...

Note: This page contains sample records for the topic "generator parameter estimation" 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

Determining effective soil formation thermal properties from field data using a parameter estimation technique  

DOE Green Energy (OSTI)

A one-dimensional thermal model is derived to describe the temperature field around a vertical borehole heat exchanger (BHEx) for a geothermal heat pump. The inlet and outlet pipe flows are modeled as one, and an effective heat capacity is added to model the heat storage in the fluid and pipes. Parameter estimation techniques are then used to estimate various parameters associated with the model, including the thermal conductivity of the soil and of the grout which fills the borehole and surrounds the u-tube. The model is validated using test data from an experimental rig containing sand with known thermal conductivity. The estimates of the sand thermal conductivity derived from the model are found to be in good agreement with independent measurements.

Shonder, J.A. [Oak Ridge National Lab., TN (United States); Beck, J.V. [Michigan State Univ., East Lansing, MI (United States)

1998-11-01T23:59:59.000Z

102

Supernovae as probes of cosmic parameters: estimating the bias from under-dense lines of sight  

E-Print Network (OSTI)

Correctly interpreting observations of sources such as type Ia supernovae (SNe Ia) require knowledge of the power spectrum of matter on AU scales - which is very hard to model accurately. Because under-dense regions account for much of the volume of the universe, light from a typical source probes a mean density significantly below the cosmic mean. The relative sparsity of sources implies that there could be a significant bias when inferring distances of SNe Ia, and consequently a bias in cosmological parameter estimation. While the weak lensing approximation should in principle give the correct prediction for this, linear perturbation theory predicts an effectively infinite variance in the convergence for ultra-narrow beams. We attempt to quantify the effect typically under-dense lines of sight might have in parameter estimation by considering three alternative methods for estimating distances, in addition to the usual weak lensing approximation. We find in each case this not only increases the errors in the...

Busti, V C; Clarkson, C

2013-01-01T23:59:59.000Z

103

The Influence of Electrical Parameters of Double Fed Induction Generator on the Transient Voltage Stability  

Science Conference Proceedings (OSTI)

This paper describes the effect of electrical parameters of the double fed induction generator on the transient voltage stability of a DFIG to a simple grid; the DFIG model has been developed in the Matlab/simulink tool. The dynamic behavior of a wind ... Keywords: DFIG model, electrical parameter, voltage stability, small signal analysis

Hongmei Li; Qiulan Wan; Zhaoxing Ma

2010-06-01T23:59:59.000Z

104

Estimating Water Needs to Meet 2025 Electricity Generating Capacity...  

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

demand and capacity forecasts from AEO 2006 with representative water withdrawal and consumption estimates to identify regions where water issues could become acute. Future...

105

Updated Capital Cost Estimates for Electricity Generation Plants  

Reports and Publications (EIA)

This paper provides information on the cost of building new electricity power plants. These cost estimates are critical inputs in the development of energy projections and analyses.

Michael Leff

2010-11-18T23:59:59.000Z

106

Massive Black Hole Binary Inspirals: Results from the LISA Parameter Estimation Taskforce  

E-Print Network (OSTI)

The LISA Parameter Estimation (LISAPE) Taskforce was formed in September 2007 to provide the LISA Project with vetted codes, source distribution models, and results related to parameter estimation. The Taskforce's goal is to be able to quickly calculate the impact of any mission design changes on LISA's science capabilities, based on reasonable estimates of the distribution of astrophysical sources in the universe. This paper describes our Taskforce's work on massive black-hole binaries (MBHBs). Given present uncertainties in the formation history of MBHBs, we adopt four different population models, based on (i) whether the initial black-hole seeds are small or large, and (ii) whether accretion is efficient or inefficient at spinning up the holes. We compare four largely independent codes for calculating LISA's parameter-estimation capabilities. All codes are based on the Fisher-matrix approximation, but in the past they used somewhat different signal models, source parametrizations and noise curves. We show that once these differences are removed, the four codes give results in extremely close agreement with each other. Using a code that includes both spin precession and higher harmonics in the gravitational-wave signal, we carry out Monte Carlo simulations and determine the number of events that can be detected and accurately localized in our four population models.

K. G. Arun; Stas Babak; Emanuele Berti; Neil Cornish; Curt Cutler; Jonathan Gair; Scott A. Hughes; Bala R. Iyer; Ryan N. Lang; Ilya Mandel; Edward K. Porter; Bangalore S. Sathyaprakash; Siddhartha Sinha; Alicia M. Sintes; Miquel Trias; Chris Van Den Broeck; Marta Volonteri

2008-11-06T23:59:59.000Z

107

EIA - Updated Capital Cost Estimates for Electricity Generation Plants  

U.S. Energy Information Administration (EIA)

Almost all of these factors can vary by region, as do capacity factors for renewable generation, operations and maintenance costs associated with individual ...

108

The Bias and Error in Moment Estimators for Parameters of Drop Size Distribution Functions: Sampling from Gamma Distributions  

Science Conference Proceedings (OSTI)

This paper complements an earlier one that demonstrated the bias in the method-of-moments (MM) estimators frequently used to estimate parameters for drop size distribution (DSD) functions being “fitted” to observed raindrop size distributions. ...

Paul L. Smith; Donna V. Kliche; Roger W. Johnson

2009-10-01T23:59:59.000Z

109

Impact of Geographic-Dependent Parameter Optimization on Climate Estimation and Prediction: Simulation with an Intermediate Coupled Model  

Science Conference Proceedings (OSTI)

Because of the geographic dependence of model sensitivities and observing systems, allowing optimized parameter values to vary geographically may significantly enhance the signal in parameter estimation. Using an intermediate atmosphere–ocean–land ...

Xinrong Wu; Shaoqing Zhang; Zhengyu Liu; Anthony Rosati; Thomas L. Delworth; Yun Liu

2012-12-01T23:59:59.000Z

110

Impact of Parameter Estimation on the Performance of the FSU Global Spectral Model Using Its Full-Physics Adjoint  

Science Conference Proceedings (OSTI)

The full-physics adjoint of the Florida State University Global Spectral Model at resolution T42L12 is applied to carry out parameter estimation using an initialized analysis dataset. The three parameters, that is, the biharmonic horizontal ...

Yanqiu Zhu; I. M. Navon

1999-07-01T23:59:59.000Z

111

Recent developments in parameter estimation and structure identification of biochemical and genomic systems  

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

Recent Recent developments in parameter estimation and structure identification of biochemical and genomic systems I-Chun Chou * , Eberhard O. Voit Integrative BioSystems Institute and The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 313 Ferst Drive, Atlanta, GA 30332, USA a r t i c l e i n f o Article history: Received 2 October 2008 Received in revised form 6 March 2009 Accepted 15 March 2009 Available online 25 March 2009 Keywords: Parameter estimation Network identification Inverse modeling Biochemical Systems Theory a b s t r a c t The organization, regulation and dynamical responses of biological systems are in many cases too com- plex to allow intuitive predictions and require the support of mathematical modeling for quantitative assessments and a reliable understanding of system functioning. All steps of constructing

112

Supernovae as probes of cosmic parameters: estimating the bias from under-dense lines of sight  

E-Print Network (OSTI)

Correctly interpreting observations of sources such as type Ia supernovae (SNe Ia) require knowledge of the power spectrum of matter on AU scales - which is very hard to model accurately. Because under-dense regions account for much of the volume of the universe, light from a typical source probes a mean density significantly below the cosmic mean. The relative sparsity of sources implies that there could be a significant bias when inferring distances of SNe Ia, and consequently a bias in cosmological parameter estimation. While the weak lensing approximation should in principle give the correct prediction for this, linear perturbation theory predicts an effectively infinite variance in the convergence for ultra-narrow beams. We attempt to quantify the effect typically under-dense lines of sight might have in parameter estimation by considering three alternative methods for estimating distances, in addition to the usual weak lensing approximation. We find in each case this not only increases the errors in the inferred density parameters, but also introduces a bias in the posterior value.

V. C. Busti; R. F. L. Holanda; C. Clarkson

2013-09-25T23:59:59.000Z

113

Development and Application of a Procedure to Estimate Overall Building and Ventilation Parameters from Monitored Commercial Building Energy Use  

E-Print Network (OSTI)

This thesis proposes and validates a simplified model appropriate for parameter identification and evaluates several different inverse parameter identification schemes suitable for use when heating and cooling data from a commercial building are available. The validation has been performed using such data generated from a detailed building simulation program for different building geometries and building mass levels in two different climatic locations. Such a synthetic evaluation will validate the model used as well as determine the best parameter identification scheme, i.e., one likely to yield the most accurate set of parameter estimates. A multistep identification scheme has been found to yield very accurate results, and a more careful evaluation has been performed in order to evaluate its accuracy and stability with synthetic data against the effects of solar energy, HVAC system operation, internal load schedule, building thermal mass and geometry, and climatic location. This method is also evaluated using data from different time periods and when utility bill data (i.e. monthly data) only is available. The model is then applied to energy use data from two buildings being monitored under the Texas LoanSTAR Program, which are in different locations and have different HVAC systems. With parameters thus determined, two energy use indices, Energy Delivery Efficiency (EDE) and Multizone Efficiency Index (MEI), are calculated to present some insights into the benefits of retrofit from a constant volume (CV) to a variable air volume (VAV) system and of continuous commissioning (CC) work done to these two buildings, respectively. Uses and limitations of EDE and MEI are also discussed. Based on these findings, it is suggested that the multistep regression approach is an accurate and practical building physical parameter determination method, and the combined use of the EDE and MEI indices calculated from these parameters can provide insights into the HVAC system, and the potential for optimizing its operation.

Deng, Song

1997-05-01T23:59:59.000Z

114

Development and application of a procedure to estimate overall building and ventilation parameters from monitored commercial building energy use  

E-Print Network (OSTI)

This thesis proposes and validates a simplified model appropriate for parameter identification and evaluates several different inverse parameter identification schemes suitable for use when heating and cooling data from a commercial building are available. The validation has been performed using such data generated from a detailed building simulation program for different building geometries and building mass levels in two different climatic locations. Such a synthetic evaluation will validate the model used as well as determine the best parameter identification scheme, i.e., one likely to yield the most accurate set of parameter estimates. A multistep identification scheme has been found to yield very accurate results, and a more careful evaluation has been performed in order to evaluate its accuracy and stability with synthetic data against the effects of solar energy, HVAC system operation, internal load schedule, building then-thermal mass and geometry, and climatic location. This method is also evaluated using data from different time periods and when utility bill data (i.e. monthly data) only is available. The model is then applied to energy use data from two buildings being monitored under the Texas LoanSTAR Program, which are in different locations and have different HVAC systems. With parameters thus determined, two energy use indices, Energy Delivery Efficiency (EDE) and Multizone Efficiency Index (MEI), are calculated to present some insights into the benefits of retrofit from a constant volume (CV) to a variable air volume (VAV) system and of continuous commissioning (CC) work done to these two buildings, respectively. Uses and limitations of EDE and MEI are also discussed. Based on these findings, it is suggested that the multistep regression approach is an accurate and practical building physical parameter determination method, and the combined use of the EDE and MEI indices calculated from these parameters can provide insights into the HVAC system, and the potential for optimizing its operation.

Deng, Song Jiu

1997-01-01T23:59:59.000Z

115

The Effect of Data Gaps on LISA Galactic Binary Parameter Estimation  

E-Print Network (OSTI)

In the last few years there has been an enormous effort in parameter estimation studies for different sources with the space based gravitational wave detector, LISA. While these studies have investigated sources of differing complexity, the one thing they all have in common is they assume continuous data streams. In reality, the LISA data stream will contain gaps from such possible events such as repointing of the satellite antennae, to discharging static charge build up on the satellites, to disruptions due to micro-meteor strikes. In this work we conduct a large scale Monte Carlo parameter estimation simulation for galactic binaries assuming data streams containing gaps. As the expected duration and frequency of the gaps are currently unknown, we have decided to focus on gaps of approximately one hour, occurring either once per day or once per week. We also study the case where, as well as the expected periodic gaps, we have a data drop-out of one continuous week. Our results show that for for galactic binaries, a gap of once per week introduces a bias of between 0.5% and 1% in the estimation of parameters, for the most important parameters such as the sky position, amplitude and frequency. This number rises to between 3% and 7% for the case of one gap a day, and to between 4% and 9% when we have one gap a day and a spurious gap of a week. A future study will investigate the effect of data gaps on supermassive black hole binaries and extreme mass ratio inspirals.

Jérôme Carré; Edward K. Porter

2010-10-08T23:59:59.000Z

116

State and parameter estimation using Monte Carlo evaluation of path integrals  

E-Print Network (OSTI)

Transferring information from observations of a dynamical system to estimate the fixed parameters and unobserved states of a system model can be formulated as the evaluation of a discrete time path integral in model state space. The observations serve as a guiding potential working with the dynamical rules of the model to direct system orbits in state space. The path integral representation permits direct numerical evaluation of the conditional mean path through the state space as well as conditional moments about this mean. Using a Monte Carlo method for selecting paths through state space we show how these moments can be evaluated and demonstrate in an interesting model system the explicit influence of the role of transfer of information from the observations. We address the question of how many observations are required to estimate the unobserved state variables, and we examine the assumptions of Gaussianity of the underlying conditional probability.

John C. Quinn; Henry D. I. Abarbanel

2009-12-08T23:59:59.000Z

117

Point and interval estimation for the two-parameter Birnbaum-Saunders distribution based on Type-II censored samples  

Science Conference Proceedings (OSTI)

The maximum likelihood estimators, based on Type-II censored samples, of a two-parameter Birnbaum-Saunders distribution are discussed. We propose a simple bias-reduction method to reduce the bias of the maximum likelihood estimators. We also discuss ... Keywords: Asymptotic distribution, Bias-corrected estimator, Confidence interval, Monte Carlo EM-algorithm, Monte Carlo simulation, Probability coverage

H. K. T. Ng; D. Kundu; N. Balakrishnan

2006-07-01T23:59:59.000Z

118

A model for estimation of potential generation of waste electrical and electronic equipment in Brazil  

SciTech Connect

Highlights: Black-Right-Pointing-Pointer Literature of WEEE generation in developing countries is reviewed. Black-Right-Pointing-Pointer We analyse existing estimates of WEEE generation for Brazil. Black-Right-Pointing-Pointer We present a model for WEEE generation estimate. Black-Right-Pointing-Pointer WEEE generation of 3.77 kg/capita year for 2008 is estimated. Black-Right-Pointing-Pointer Use of constant lifetime should be avoided for non-mature market products. - Abstract: Sales of electrical and electronic equipment are increasing dramatically in developing countries. Usually, there are no reliable data about quantities of the waste generated. A new law for solid waste management was enacted in Brazil in 2010, and the infrastructure to treat this waste must be planned, considering the volumes of the different types of electrical and electronic equipment generated. This paper reviews the literature regarding estimation of waste electrical and electronic equipment (WEEE), focusing on developing countries, particularly in Latin America. It briefly describes the current WEEE system in Brazil and presents an updated estimate of generation of WEEE. Considering the limited available data in Brazil, a model for WEEE generation estimation is proposed in which different methods are used for mature and non-mature market products. The results showed that the most important variable is the equipment lifetime, which requires a thorough understanding of consumer behavior to estimate. Since Brazil is a rapidly expanding market, the 'boom' in waste generation is still to come. In the near future, better data will provide more reliable estimation of waste generation and a clearer interpretation of the lifetime variable throughout the years.

Araujo, Marcelo Guimaraes, E-mail: marcel_g@uol.com.br [Federal University of Rio de Janeiro, COPPE, Energy Planning Department (Brazil); Magrini, Alessandra [Federal University of Rio de Janeiro, COPPE, Energy Planning Department (Brazil); Mahler, Claudio Fernando [Federal University of Rio de Janeiro, COPPE, GETRES (Brazil); Bilitewski, Bernd [Technical University of Dresden, Institute of Waste Management and Contaminated Site Treatment (IAA) (Germany)

2012-02-15T23:59:59.000Z

119

The Effect of Data Gaps on LISA Galactic Binary Parameter Estimation  

E-Print Network (OSTI)

In the last few years there has been an enormous effort in parameter estimation studies for different sources with the space based gravitational wave detector, LISA. While these studies have investigated sources of differing complexity, the one thing they all have in common is they assume continuous data streams. In reality, the LISA data stream will contain gaps from such possible events such as repointing of the satellite antennae, to discharging static charge build up on the satellites, to disruptions due to micro-meteor strikes. In this work we conduct a large scale Monte Carlo parameter estimation simulation for galactic binaries assuming data streams containing gaps. As the expected duration and frequency of the gaps are currently unknown, we have decided to focus on gaps of approximately one hour, occurring either once per day or once per week. We also study the case where, as well as the expected periodic gaps, we have a data drop-out of one continuous week. Our results show that for for galactic bina...

Carré, Jérôme

2010-01-01T23:59:59.000Z

120

A Comparison of Isoconversional and Model-Fitting Approaches to Kinetic Parameter Estimation and Application Predictions  

SciTech Connect

Chemical kinetic modeling has been used for many years in process optimization, estimating real-time material performance, and lifetime prediction. Chemists have tended towards developing detailed mechanistic models, while engineers have tended towards global or lumped models. Many, if not most, applications use global models by necessity, since it is impractical or impossible to develop a rigorous mechanistic model. Model fitting acquired a bad name in the thermal analysis community after that community realized a decade after other disciplines that deriving kinetic parameters for an assumed model from a single heating rate produced unreliable and sometimes nonsensical results. In its place, advanced isoconversional methods (1), which have their roots in the Friedman (2) and Ozawa-Flynn-Wall (3) methods of the 1960s, have become increasingly popular. In fact, as pointed out by the ICTAC kinetics project in 2000 (4), valid kinetic parameters can be derived by both isoconversional and model fitting methods as long as a diverse set of thermal histories are used to derive the kinetic parameters. The current paper extends the understanding from that project to give a better appreciation of the strengths and weaknesses of isoconversional and model-fitting approaches. Examples are given from a variety of sources, including the former and current ICTAC round-robin exercises, data sets for materials of interest, and simulated data sets.

Burnham, A K

2006-05-17T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Frequentist estimation of cosmological parameters from theMAXIMA-1 cosmic microwave background anisotropy data  

SciTech Connect

We use a frequentist statistical approach to set confidence intervals on the values of cosmological parameters using the MAXIMA-1 and COBE measurements of the angular power spectrum of the cosmic microwave background. We define a Deltachi (2) statistic, simulate the measurements of MAXIMA-1 and COBE, determine the probability distribution of the statistic, and use it and the data to set confidence intervals on several cosmological parameters. We compare the frequentist confidence intervals with Bayesian credible regions. The frequentist and Bayesian approaches give best estimates for the parameters that agree within 15 per cent, and confidence interval widths that agree to within 30 per cent. The results also suggest that a frequentist analysis gives slightly broader confidence intervals than a Bayesian analysis. The frequentist analysis gives values of Omega = 0.89(-0.19)(+0.26), Omega(B) h(2) =0.026(-0.011)(+0.020) and n = 1.02(-0.10)(+0.31), and the Bayesian analysis gives values of Omega = 0.98(-0.19)(+0.14) Omega(B) h(2) =0.029(-0.010)(+0.015), and n = 1.18(-0.23)(+0.10), all at the 95 per cent confidence level.

Abroe, M.E.; Balbi, A.; Borrill, J.; Bunn, E.F.; Hanany, S.; Ferreira, P.G.; Jaffe, A.H.; Lee, A.T.; Olive, K.A.; Rabii, B.; Richards,P.L.; Smoot, G.F.; Stompor, R.; Winant, C.D.; Wu, J.H.P.

2001-11-07T23:59:59.000Z

122

Systematic Review and Harmonization of Life Cycle GHG Emission Estimates for Electricity Generation Technologies (Presentation)  

SciTech Connect

This powerpoint presentation to be presented at the World Renewable Energy Forum on May 14, 2012, in Denver, CO, discusses systematic review and harmonization of life cycle GHG emission estimates for electricity generation technologies.

Heath, G.

2012-06-01T23:59:59.000Z

123

Eddy Current Data Quality Parameters for Inspection of Steam Generator Tubes: Volume 1: Bobbin Coil Probe  

Science Conference Proceedings (OSTI)

This report identifies parameters, methods of measurement, and acceptance criteria for a data quality check that can be performed during eddy current inspection of steam generator tubes. Its implementation is expected to result in improved accuracy in detecting and sizing tube degradation by ensuring that such measurements are performed only on quality data. Additionally, identifying unacceptable data during acquisition is expected to reduce overall inspection time by providing an opportunity to efficien...

2001-05-14T23:59:59.000Z

124

Regional Parameter Estimation of the VIC Land Surface Model: Methodology and Application to River Basins in China  

Science Conference Proceedings (OSTI)

This paper presents a methodology for regional parameter estimation of the three-layer Variable Infiltration Capacity (VIC-3L) land surface model with the goal of improving the streamflow simulation for river basins in China. This methodology is ...

Zhenghui Xie; Fei Yuan; Qingyun Duan; Jing Zheng; Miaoling Liang; Feng Chen

2007-06-01T23:59:59.000Z

125

DOE/SC-ARM/TR-097 Radiatively Important Parameters Best Estimate  

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

7 7 Radiatively Important Parameters Best Estimate (RIPBE): An ARM Value-Added Product S McFarlane T Shippert J Mather June 2011 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or

126

Task parallel sensitivity analysis and parameter estimation of groundwater simulations through the SALSSA framework  

Science Conference Proceedings (OSTI)

The Support Architecture for Large-Scale Subsurface Analysis (SALSSA) provides an extensible framework, sophisticated graphical user interface, and underlying data management system that simplifies the process of running subsurface models, tracking provenance information, and analyzing the model results. Initially, SALSSA supported two styles of job control: user directed execution and monitoring of individual jobs, and load balancing of jobs across multiple machines taking advantage of many available workstations. Recent efforts in subsurface modelling have been directed at advancing simulators to take advantage of leadership class supercomputers. We describe two approaches, current progress, and plans toward enabling efficient application of the subsurface simulator codes via the SALSSA framework: automating sensitivity analysis problems through task parallelism, and task parallel parameter estimation using the PEST framework.

Schuchardt, Karen L.; Agarwal, Khushbu; Chase, Jared M.; Rockhold, Mark L.; Freedman, Vicky L.; Elsethagen, Todd O.; Scheibe, Timothy D.; Chin, George; Sivaramakrishnan, Chandrika

2010-07-15T23:59:59.000Z

127

Parameter identification and on-line estimation for reduced kinetic model  

Science Conference Proceedings (OSTI)

The base hydrolysis process for the destruction of energetic or explosive materials results is a high pH hydrolysate solution with reaction products that include a series of carboxylic acid salts, glycolates, amines, and nitrates. The hydrolysate solutions obtained from this process contain from two to ten wt% of organic carbon and nitrogen compounds that must be further treated before disposal. Hydrothermal oxidation at elevated temperatures (450 C) and pressure (14,000 psi) was selected as the treatment process for the hydrolysate solutions obtained from hydrolysis of the high explosive PBX 9404 at the Department of Energy Pantex facility in Amarillo, Texas. In this work, the authors describe the use of receding horizon identification and estimation techniques to determine the model parameters for a reduced kinetic model describing the oxidation-reduction reactions in a hydrothermal oxidation reactor. This model is used in a model predictive controller that minimizes the total aqueous nitrogen in the hydrothermal oxidation reactor effluent.

Littel, J.D.; Muske, K.R. [Villanova Univ., PA (United States). Dept. of Chemical Engineering; Del`Orco, P.C.; Le, L.A.; Flesner, R.L. [Los Alamos National Lab., NM (United States). High Explosives Science and Technology Group

1998-08-07T23:59:59.000Z

128

Estimating fracture parameters from p-wave velocity profiles about a geothermal well  

DOE Green Energy (OSTI)

The feasibility of locating fracture zones and estimating their crack parameters was examined using an areal well shoot method centered on Utah State Geothermal Well 9-1, Beaver County, Utah. High-resolution travel time measurements were made between a borehole sensor and an array of shot stations distributed radially and azimuthally about the well. Directional velocity behavior in the vicinity of the well was investigated by comparing velocity logs derived from the travel time data. Three fracture zones were identified form the velocity data, corroborating fracture indicators seen in other geophysical logs conducted in Well 9-1. Crack densities and average crack aspect ratios for these fracture zones were estimated using a self-consistent velocity theory (O'Connell and Budiansy 1974). Probable trends of these fracture zones were established from a combination of the data from the more distant shot stations and the results of a gravity survey. The results of this study indicate that the areal well shoot is a potentially powerful tool for the reconnaisance of fracture-controlled fluid and gas reservoirs. Improvements in methodology and hardware could transform it into an operationally viable survey method.

Jenkinson, J.T.; Henyey, T.L.; Sammis, C.G.; Leary, P.C.; McRaney, J.K.

1981-12-01T23:59:59.000Z

129

Estimating Monthly 1989-2000 Data for Generation, Consumption, and Stocks  

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

Monthly Energy Review, Section 7: Monthly Energy Review, Section 7: Estimating Monthly 1989-2000 Data for Generation, Consumption, and Stocks For 1989-2000, monthly and annual data were collected for electric utilities; however, during this time period, only annual data were collected for independent power producers, commercial plants, and industrial plants. To obtain 1989-2000 monthly estimates for the Electric Power, Commercial, and Industrial Sectors, electric utility patterns were used for each energy source (MonthX = MonthUtility * AnnualX / AnnualUtility). For example, to estimate "Electricity Net Generation From Coal: Electric Power Sector" in Table 7.2b, the monthly pattern for "Electricity Net Generation From Coal: Electric Utilities" was used. To estimate the

130

Real-time estimation of olive oil quality parameters: a combined approach based on ANNs and machine vision  

Science Conference Proceedings (OSTI)

The present work describes a combined approach based on Artificial Neural Networks and Machine Vision for the real-time estimation of some qualitative olive oil parameters. The proposed methodology proves to be a useful tool for the real-time estimation ... Keywords: ANNs, acidity, machine vision, olive oil, peroxides, ripeness, sanitation condition

Monica Carfagni; Marco Daou; Rocco Furferi

2008-07-01T23:59:59.000Z

131

A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network  

Science Conference Proceedings (OSTI)

In this work a novel approach for estimation of embedding parameters for reconstruction of underlying dynamical system from the observed nonlinear time series by a feedforward neural network with structural learning is proposed. The proposed scheme of ... Keywords: Chaos, Embedding parameters, Embedding theorem, Neural network, Nonlinear time series, Strange attractor, Structural learning

Yusuke Manabe; Basabi Chakraborty

2007-03-01T23:59:59.000Z

132

A Simple Estimator of the Shape Factor of the Two-Parameter Weibull Distribution  

Science Conference Proceedings (OSTI)

A method is given to estimate the shape factor (K) of the Weibull distribution directly from wind observations, without iteration, plotting, or sorting of data. The estimate is of comparable accuracy as that given by the maximum-likelihood ...

Rolan D. Christofferson; Dale A. Gillette

1987-02-01T23:59:59.000Z

133

Least squares parameter estimation methods for material decomposition with energy discriminating detectors  

Science Conference Proceedings (OSTI)

Purpose: Energy resolving detectors provide more than one spectral measurement in one image acquisition. The purpose of this study is to investigate, with simulation, the ability to decompose four materials using energy discriminating detectors and least squares minimization techniques. Methods: Three least squares parameter estimation decomposition techniques were investigated for four-material breast imaging tasks in the image domain. The first technique treats the voxel as if it consisted of fractions of all the materials. The second method assumes that a voxel primarily contains one material and divides the decomposition process into segmentation and quantification tasks. The third is similar to the second method but a calibration was used. The simulated computed tomography (CT) system consisted of an 80 kVp spectrum and a CdZnTe (CZT) detector that could resolve the x-ray spectrum into five energy bins. A postmortem breast specimen was imaged with flat panel CT to provide a model for the digital phantoms. Hydroxyapatite (HA) (50, 150, 250, 350, 450, and 550 mg/ml) and iodine (4, 12, 20, 28, 36, and 44 mg/ml) contrast elements were embedded into the glandular region of the phantoms. Calibration phantoms consisted of a 30/70 glandular-to-adipose tissue ratio with embedded HA (100, 200, 300, 400, and 500 mg/ml) and iodine (5, 15, 25, 35, and 45 mg/ml). The x-ray transport process was simulated where the Beer-Lambert law, Poisson process, and CZT absorption efficiency were applied. Qualitative and quantitative evaluations of the decomposition techniques were performed and compared. The effect of breast size was also investigated. Results: The first technique decomposed iodine adequately but failed for other materials. The second method separated the materials but was unable to quantify the materials. With the addition of a calibration, the third technique provided good separation and quantification of hydroxyapatite, iodine, glandular, and adipose tissues. Quantification with this technique was accurate with errors of 9.83% and 6.61% for HA and iodine, respectively. Calibration at one point (one breast size) showed increased errors as the mismatch in breast diameters between calibration and measurement increased. A four-point calibration successfully decomposed breast diameter spanning the entire range from 8 to 20 cm. For a 14 cm breast, errors were reduced from 5.44% to 1.75% and from 6.17% to 3.27% with the multipoint calibration for HA and iodine, respectively. Conclusions: The results of the simulation study showed that a CT system based on CZT detectors in conjunction with least squares minimization technique can be used to decompose four materials. The calibrated least squares parameter estimation decomposition technique performed the best, separating and accurately quantifying the concentrations of hydroxyapatite and iodine.

Le, Huy Q.; Molloi, Sabee [Department of Radiological Sciences, University of California, Irvine, California 92697 (United States)

2011-01-15T23:59:59.000Z

134

Nonlinear Parameter Estimation: Comparison of an Ensemble Kalman Smoother with a Markov Chain Monte Carlo Algorithm  

Science Conference Proceedings (OSTI)

This paper explores the temporal evolution of cloud microphysical parameter uncertainty using an idealized 1D model of deep convection. Model parameter uncertainty is quantified using a Markov chain Monte Carlo (MCMC) algorithm. A new form of the ...

Derek J. Posselt; Craig H. Bishop

2012-06-01T23:59:59.000Z

135

The Estimation of Wind-Wave Generation in a Discrete Spectral Model  

Science Conference Proceedings (OSTI)

The estimation of wind-wave generation using a new discrete spectral model is compared to Hasselmann et al.'s (1976) parametric model and to models driven primarily by direct transfer of energy from the atmosphere into the surface waves. The main ...

Donald T. Resio

1981-04-01T23:59:59.000Z

136

Discretization error estimation and exact solution generation using the method of nearby problems.  

Science Conference Proceedings (OSTI)

The Method of Nearby Problems (MNP), a form of defect correction, is examined as a method for generating exact solutions to partial differential equations and as a discretization error estimator. For generating exact solutions, four-dimensional spline fitting procedures were developed and implemented into a MATLAB code for generating spline fits on structured domains with arbitrary levels of continuity between spline zones. For discretization error estimation, MNP/defect correction only requires a single additional numerical solution on the same grid (as compared to Richardson extrapolation which requires additional numerical solutions on systematically-refined grids). When used for error estimation, it was found that continuity between spline zones was not required. A number of cases were examined including 1D and 2D Burgers equation, the 2D compressible Euler equations, and the 2D incompressible Navier-Stokes equations. The discretization error estimation results compared favorably to Richardson extrapolation and had the advantage of only requiring a single grid to be generated.

Sinclair, Andrew J. (Auburn University Auburn, AL); Raju, Anil (Auburn University Auburn, AL); Kurzen, Matthew J. (Virginia Tech Blacksburg, VA); Roy, Christopher John (Virginia Tech Blacksburg, VA); Phillips, Tyrone S. (Virginia Tech Blacksburg, VA)

2011-10-01T23:59:59.000Z

137

Steam Generator Management Program: Applicability of EDF's Steam Generator Blockage Ratio Estimation Method to Plant Shutdown Transients  

Science Conference Proceedings (OSTI)

Electricité de France (EDF) has developed a technique that it uses to estimate the level of deposit buildup on steam generator tube support plates at its pressurized water reactor (PWR) units in France. The technique could potentially be of use to other PWR operators, but it needs to be carefully evaluated to determine what adaptations would be necessary to enable it to be used accurately at other plants. This report documents work undertaken by the Electric Power Research Institute (EPRI) and EDF to det...

2012-02-16T23:59:59.000Z

138

Hydrological parameter estimations from a conservative tracer test with variable-density effects at the Boise Hydrogeophysical Research Site  

SciTech Connect

Reliable predictions of groundwater flow and solute transport require an estimation of the detailed distribution of the parameters (e.g., hydraulic conductivity, effective porosity) controlling these processes. However, such parameters are difficult to estimate because of the inaccessibility and complexity of the subsurface. In this regard, developments in parameter estimation techniques and investigations of field experiments are still challenging and necessary to improve our understanding and the prediction of hydrological processes. Here we analyze a conservative tracer test conducted at the Boise Hydrogeophysical Research Site in 2001 in a heterogeneous unconfined fluvial aquifer. Some relevant characteristics of this test include: variable-density (sinking) effects because of the injection concentration of the bromide tracer, the relatively small size of the experiment, and the availability of various sources of geophysical and hydrological information. The information contained in this experiment is evaluated through several parameter estimation approaches, including a grid-search-based strategy, stochastic simulation of hydrological property distributions, and deterministic inversion using regularization and pilot-point techniques. Doing this allows us to investigate hydraulic conductivity and effective porosity distributions and to compare the effects of assumptions from several methods and parameterizations. Our results provide new insights into the understanding of variabledensity transport processes and the hydrological relevance of incorporating various sources of information in parameter estimation approaches. Among others, the variable-density effect and the effective porosity distribution, as well as their coupling with the hydraulic conductivity structure, are seen to be significant in the transport process. The results also show that assumed prior information can strongly influence the estimated distributions of hydrological properties.

Dafflon, Baptisite; Barrash, Warren; Cardiff, Michael A.; Johnson, Timothy C.

2011-12-15T23:59:59.000Z

139

New approaches to estimation of magnetotelluric parameters. Final technical report, 1 August 1989--31 July 1991  

DOE Green Energy (OSTI)

Fully efficient robust data processing procedures were developed and tested for single station and remote reference magnetotelluric (Mr) data. Substantial progress was made on development, testing and comparison of optimal procedures for single station data. A principal finding of this phase of the research was that the simplest robust procedures can be more heavily biased by noise in the (input) magnetic fields, than standard least squares estimates. To deal with this difficulty we developed a robust processing scheme which combined the regression M-estimate with coherence presorting. This hybrid approach greatly improves impedance estimates, particularly in the low signal-to-noise conditions often encountered in the ``dead band`` (0.1--0.0 hz). The methods, and the results of comparisons of various single station estimators are described in detail. Progress was made on developing methods for estimating static distortion parameters, and for testing hypotheses about the underlying dimensionality of the geological section.

Egbert, G.D.

1991-12-31T23:59:59.000Z

140

Optimal mobile actuator/sensor network motion strategy for parameter estimation in a class of cyber physical systems  

Science Conference Proceedings (OSTI)

This paper introduces a framework to solve the problem of determining optimal sensors and actuators trajectories so as to estimate a set of unknown parameters in what constitutes a cyber-physical system (CPS). Given a distributed system's set of partial ...

Christophe Tricaud; YangQuan Chen

2009-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

A Feasibility Study for Simultaneous Estimates of Water Vapor and Precipitation Parameters Using a Three-Frequency Radar  

Science Conference Proceedings (OSTI)

The radar return powers from a three-frequency radar, with center frequency at 22.235 GHz and upper and lower frequencies chosen with equal water vapor absorption coefficients, can be used to estimate water vapor density and parameters of the ...

R. Meneghini; L. Liao; L. Tian

2005-10-01T23:59:59.000Z

142

Effects of Remote Generation Sites on Model Estimates of M2 Internal Tides in the Philippine Sea  

Science Conference Proceedings (OSTI)

This study investigates the impact of remotely generated internal tides on model estimates of barotropic to baroclinic tidal conversion for two generation sites bounding the Philippine Sea: the Luzon Strait and the Mariana Island Arc. A primitive ...

Colette G. Kerry; Brian S. Powell; Glenn S. Carter

2013-01-01T23:59:59.000Z

143

Evaluation of Planetary Boundary Layer Scheme Sensitivities for the Purpose of Parameter Estimation  

E-Print Network (OSTI)

for the parameters within the Asymmetrical Convective Model, version 2 (ACM2) planetary boundary layer (PBL) scheme of the simulations to these 10 particular ACM2 parameters within their plausible physical bounds. The most Appropriate treatment of vertical mixing is an essen- tial component of meteorological and air quality models

144

An exploratory first step in teletraffic data modeling: evaluation of long-run performance of parameter estimators  

Science Conference Proceedings (OSTI)

Examination of the tail behavior of a distribution F that generates teletraffic measurements is an important first step toward building a network model that explains the link between heavy tails and long-range dependence exhibited in such data. ... Keywords: Noah effect, evaluation game, generalized Pareto distribution, packet train, tail estimation

Ping-Hung Hsieh

2002-08-01T23:59:59.000Z

145

PARAMETER ESTIMATION IN HEAT TRANSFER AND ELASTICITY USING TRAINED POD-RBF NETWORK INVERSE METHODS.  

E-Print Network (OSTI)

??In applied mechanics it is always necessary to understand the fundamental properties of a system in order to generate an accurate numerical model or to… (more)

Rogers, Craig

2010-01-01T23:59:59.000Z

146

Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior  

E-Print Network (OSTI)

the project "Impact of Increased DFIG Wind Penetration on Power System Reliability and Consequent Market-fed induction generator (DFIG) technology. The m

Hiskens, Ian A.

147

Estimating carbon emissions avoided by electricity generation and efficiency projects: A standardized method (MAGPWR)  

SciTech Connect

This paper describes a standardized method for establishing a multi-project baseline for a power system. The method provides an approximation of the generating sources that are expected to operate on the margin in the future for a given electricity system. It is most suitable for small-scale electricity generation and electricity efficiency improvement projects. It allows estimation of one or more carbon emissions factors that represent the emissions avoided by projects, striking a balance between simplicity of use and the desire for accuracy in granting carbon credits.

Meyers, S.; Marnay, C.; Schumacher, K.; Sathaye, J.

2000-07-01T23:59:59.000Z

148

Effect of generalized wind characteristics on annual power estimates from wind turbine generators  

SciTech Connect

A technique is presented for estimating the average power output of a wind turbine using, as the wind characteristic input, only the mean annual wind magnitude. Hourly wind speeds are assumed to have a Rayleigh frequency distribution which requires a single parameter input (e.g., the mean value, variance or higher moment values). Based upon a general shape, for the wind speed versus machine output, a generic set of curves is developed to estimate the average power output of wind turbines. Also, estimates of the percent of time the wind turbine would not produce power (percent down time) and the percent of time the wind turbine would be operating at its rated power are presented.

Cliff, W.C.

1977-10-01T23:59:59.000Z

149

Adjoint-Based Estimation of Eddy-Induced Tracer Mixing Parameters in the Global Ocean  

Science Conference Proceedings (OSTI)

Using the German Estimating the Circulation and Climate of the Ocean (GECCO) synthesis framework, four separate eddy tracer mixing coefficients are adjusted jointly with external forcing fields, such as to reduce a global misfit between the model ...

Chuanyu Liu; Armin Köhl; Detlef Stammer

2012-07-01T23:59:59.000Z

150

On the empirical estimation of utility distribution damping parameters using power quality waveform data  

Science Conference Proceedings (OSTI)

This paper describes an efficient yet accurate methodology for estimating system damping. The proposed technique is based on linear dynamic system theory and the Hilbert damping analysis. The proposed technique requires capacitor switching waveforms ...

Kyeon Hur; Surya Santoso; Irene Y. H. Gu

2007-01-01T23:59:59.000Z

151

Rainfall Parameter Estimation from Dual-Radar Measurements Combining Reflectivity Profile and Path-integrated Attenuation  

Science Conference Proceedings (OSTI)

Rain rate estimation properties of multiparameter radar measurements combining radar reflectivity and microwave attenuations are studied through simulations using a two-year disdrometer dataset. In the first simulation, properties of “complete” ...

Toshiaki Kozu; Kenji Nakamura

1991-04-01T23:59:59.000Z

152

Asymptotic normality and efficiency of the maximum likelihood estimator for the parameter  

E-Print Network (OSTI)

a distant site. We prove an asymptotic normality result for this consistent estimator as the distant site tends to infinity and establish that it achieves the Cramér-Rao bound. We also explore in a simulation

Paris-Sud XI, Université de

153

Maximum Likelihood Estimates of Vortex Parameters from Simulated Coherent Doppler Lidar Data  

Science Conference Proceedings (OSTI)

The performance of pulsed coherent Doppler lidar in estimating aircraft trailing wake vortices by scanning across the aircraft flight track is evaluated using Monte Carlo lidar simulations of a simple vortex pair in both a nonturbulent and ...

Rod Frehlich; Robert Sharman

2005-02-01T23:59:59.000Z

154

Estimation of Meteorological Parameters for Air Quality Management: Coupling of Sodar Data with Simple Numerical Models  

Science Conference Proceedings (OSTI)

In this paper an attempt is made to couple sodar data and simple numerical models to calculate the wind field and the boundary layer parameters that are relevant to air quality monitoring and studies. For this purpose, a diagnostic, mass-...

Dimitrios Melas; Giulia Abbate; Dias Haralampopoulos; Alexandros Kelesidis

2000-04-01T23:59:59.000Z

155

Estimation of Cloud Physical Parameters from Airborne Solar Spectral Reflectance Measurements for Stratocumulus Clouds  

Science Conference Proceedings (OSTI)

A new method is proposed to retrieve various cloud physical parameters of water clouds from the solar-flux reflectances at four wavelengths measured by using the airborne Multi-channel Cloud Pyranometer (MCP) system. The MCP system was designed ...

Shoji Asano; Masataka Shiobara; Akihiro Uchiyama

1995-10-01T23:59:59.000Z

156

Errors in Estimating Raindrop Size Distribution Parameters Employing Disdrometer and Simulated Raindrop Spectra  

Science Conference Proceedings (OSTI)

There have been debates and differences of opinion over the validity of using drop size distribution (DSD) models to characterize precipitation microphysics and to retrieve DSD parameters from multiparameter radar measurements. In this paper, ...

Qing Cao; Guifu Zhang

2009-02-01T23:59:59.000Z

157

The Modified Allan Variance as Time-Domain Analysis Tool for Estimating the Hurst Parameter of Long-Range Dependent Traffic  

E-Print Network (OSTI)

Abstract ? Experimental measurements show that Internet traffic exhibits self-similarity and long-range dependence (LRD). A delicate issue is the estimation of traffic statistical quantities that characterize self-similarity and LRD, such as the Hurst parameter H. In this paper, we propose to use the Modified Allan Variance (MAVAR), a well-known time-domain tool originally studied for frequency stability characterization, for estimating the power-law spectrum and thus the H parameter of LRD traffic time series. This novel method is validated by comparison to one of the most widely adopted algorithms for analyzing LRD traffic: the log-scale diagram technique based on wavelet analysis. Both methods are applied to pseudo-random data series, generated with known values of H. MAVAR exhibits outstanding accuracy in estimating H, better than the classical log-scale method. Finally, both techniques are applied to a real IP traffic trace, providing a further example of the capabilities of MAVAR. Index Terms ? Fractals, fractional noise, Internet, long-range dependence, self-similarity, traffic control (communication). Work partialy supported by Ministero dell’Istruzione, dell’Università e della Ricerca (MIUR), Italy, under FIRB project TANGO. I.

Stefano Bregni; Senior Member; Luca Primerano

2004-01-01T23:59:59.000Z

158

Robust estimation of the parameters of a disturbed non-stationary Gaussian process  

E-Print Network (OSTI)

A typical problem in the detection of the gravitational waves in the data of gravitational antennas is the non-stationarity of the Gaussian noise (and so the varying sensitivity) and the presence of big impulsive disturbances. In such conditions the estimation of the standard deviation of the Gaussian process done with a classical estimator applied after a "rough" cleaning of the big pulses often gives poor results. We propose a method based on a matched filter applied to an AR histogram of the absolute value of the data

Sergio Frasca; Pia Astone

2009-05-15T23:59:59.000Z

159

Simultaneous Estimation of Microphysical Parameters and the Atmospheric State Using Simulated Polarimetric Radar Data and an Ensemble Kalman Filter in the Presence of an Observation Operator Error  

Science Conference Proceedings (OSTI)

The impacts of polarimetric radar data on the estimation of uncertain microphysical parameters are investigated through observing system simulation experiments when the effects of uncertain parameters on the observation operators are also ...

Youngsun Jung; Ming Xue; Guifu Zhang

2010-02-01T23:59:59.000Z

160

Aeration control and parameter soft estimation for a wastewater treatment plant using a neurogenetic design  

Science Conference Proceedings (OSTI)

Biochemical oxygen demand and chemical oxygen demand are the most important parameters for wastewater management and planning, which represents the oxygen consumption from degradation of organic material. Insufficient levels of dissolved oxygen prevent ... Keywords: aeration optimal control, artificial neural networks, genetic algorithms, wastewater process

Javier Fernandez de Canete; Pablo del Saz-Orozco; Inmaculada Garcia-Moral

2011-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Estimation of a classical parameter with gaussian probes: magnetometry with collective atomic spins  

E-Print Network (OSTI)

We present a theory for the estimation of a classical magnetic field by an atomic sample with a gaussian distribution of collective spin components. By incorporating the magnetic field and the probing laser field as quantum variables with gaussian distributions on equal footing with the atoms, we obtain a very versatile description which is readily adapted to include probing with squeezed light, dissipation and loss and additional measurement capabilities on the atomic system.

Klaus Molmer; Lars Bojer Madsen

2004-02-23T23:59:59.000Z

162

Parameters of the prompt gamma-ray burst emission estimated with the opening angle of jets  

E-Print Network (OSTI)

We present in this paper an approach to estimate the initial Lorentz factor of gamma-ray bursts (GRBs) without referring to the delayed emission of the early afterglow. Under the assumption that the afterglow of the bursts concerned occurs well before the prompt emission dies away, the Lorentz factor measured at the time when the duration of the prompt emission is ended could be estimated by applying the well-known relations of GRB jets. With the concept of the efficiency for converting the explosion energy to radiation, this Lorentz factor can be related to the initial Lorentz factor of the source. The corresponding rest frame peak energy can accordingly be calculated. Applying this method, we estimate the initial Lorentz factor of the bulk motion and the corresponding rest frame spectral peak energy of GRBs for a new sample where the redshift and the break time in the afterglow are known. Our analysis shows that, in the circumstances, the initial Lorentz factor of the sample would peak at 200 and would be distributed mainly within $(100,400)$, and the peak of the distribution of the corresponding rest frame peak energy would be $0.8keV$ and its main region would be $(0.3keV,3keV)$.

B. -B. Zhang; Y. -P. Qin

2005-04-04T23:59:59.000Z

163

Estimation of end of life mobile phones generation: The case study of the Czech Republic  

SciTech Connect

Highlights: Black-Right-Pointing-Pointer In this paper, we define lifespan of mobile phones and estimate their average total lifespan. Black-Right-Pointing-Pointer The estimation of lifespan distribution is based on large sample of EoL mobile phones. Black-Right-Pointing-Pointer Total lifespan of Czech mobile phones is surprisingly long, exactly 7.99 years. Black-Right-Pointing-Pointer In the years 2010-20, about 26.3 million pieces of EoL mobile phones will be generated in the Czech Republic. - Abstract: The volume of waste electrical and electronic equipment (WEEE) has been rapidly growing in recent years. In the European Union (EU), legislation promoting the collection and recycling of WEEE has been in force since the year 2003. Yet, both current and recently suggested collection targets for WEEE are completely ineffective when it comes to collection and recycling of small WEEE (s-WEEE), with mobile phones as a typical example. Mobile phones are the most sold EEE and at the same time one of appliances with the lowest collection rate. To improve this situation, it is necessary to assess the amount of generated end of life (EoL) mobile phones as precisely as possible. This paper presents a method of assessment of EoL mobile phones generation based on delay model. Within the scope of this paper, the method has been applied on the Czech Republic data. However, this method can be applied also to other EoL appliances in or outside the Czech Republic. Our results show that the average total lifespan of Czech mobile phones is surprisingly long, exactly 7.99 years. We impute long lifespan particularly to a storage time of EoL mobile phones at households, estimated to be 4.35 years. In the years 1990-2000, only 45 thousands of EoL mobile phones were generated in the Czech Republic, while in the years 2000-2010 the number grew to 6.5 million pieces and it is estimated that in the years 2010-2020 about 26.3 million pieces will be generated. Current European legislation sets targets on collection and recycling of WEEE in general, but no specific collection target for EoL mobile phone exists. In the year 2010 only about 3-6% of Czech EoL mobile phones were collected for recovery and recycling. If we make similar estimation using an estimated average EU value, then within the next 10 years about 1.3 billion of EoL mobile phones would be available for recycling in the EU. This amount contains about 31 tonnes of gold and 325 tonnes of silver. Since Europe is dependent on import of many raw materials, efficient recycling of EoL products could help reduce this dependence. To set a working system of collection, it will be necessary to set new and realistic collection targets.

Polak, Milos, E-mail: mpolak@remasystem.cz; Drapalova, Lenka

2012-08-15T23:59:59.000Z

164

Adaptive control and parameter identification of a doubly-fed induction generator for wind power .  

E-Print Network (OSTI)

??The use of Doubly-Fed Induction Generators (DFIG) for wind energy conversion is addressed in this thesis. It is well known that when the stator is… (more)

Orfanos-Pepainas, Stamatios

2011-01-01T23:59:59.000Z

165

Estimating the HF coupling parameters of the avian compass by comprehensively considering the available experimental results  

E-Print Network (OSTI)

Migratory birds can utilize the geomagnetic field for orientation and navigation through a widely accepted radical-pair mechanism. Although many theoretical works have been done the available experimental results have not been fully considered, especially, the temporary disorientation induced by the field which is increased by 30% of geomagnetic field and the disorientation of the very weak resonant field of $15nT$. In this paper, we consider the monotonicity of the singlet yield angular profile as the prerequisite of direction sensitivity, and find that for some optimal values of the hyperfine coupling parameters, that is the order of $10^{-7}\\sim10^{-6}meV$, the experimental results available by far can be satisfied. We also investigate the effects of two decoherence environments and demonstrate that, in order to satisfy the available experimental results, the decoherence rate should be much lower than the recombination rate. Finally we investigate the effects of the fluctuating magnetic noises, and find that the vertical noise destroys the monotonicity of the profile completely, but the parallel noise preserves the monotonicity perfectly and even can enhance the direction sensitivity.

Bao-Ming Xu; Jian Zou; Jun-Gang Li; Bin Shao

2013-07-15T23:59:59.000Z

166

Developing a tool to estimate water withdrawal and consumption in electricity generation in the United States.  

SciTech Connect

Freshwater consumption for electricity generation is projected to increase dramatically in the next couple of decades in the United States. The increased demand is likely to further strain freshwater resources in regions where water has already become scarce. Meanwhile, the automotive industry has stepped up its research, development, and deployment efforts on electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs). Large-scale, escalated production of EVs and PHEVs nationwide would require increased electricity production, and so meeting the water demand becomes an even greater challenge. The goal of this study is to provide a baseline assessment of freshwater use in electricity generation in the United States and at the state level. Freshwater withdrawal and consumption requirements for power generated from fossil, nonfossil, and renewable sources via various technologies and by use of different cooling systems are examined. A data inventory has been developed that compiles data from government statistics, reports, and literature issued by major research institutes. A spreadsheet-based model has been developed to conduct the estimates by means of a transparent and interactive process. The model further allows us to project future water withdrawal and consumption in electricity production under the forecasted increases in demand. This tool is intended to provide decision makers with the means to make a quick comparison among various fuel, technology, and cooling system options. The model output can be used to address water resource sustainability when considering new projects or expansion of existing plants.

Wu, M.; Peng, J. (Energy Systems); ( NE)

2011-02-24T23:59:59.000Z

167

Parameter Identification of Vibration Loads of Hydro Generator Using Neural Networks  

Science Conference Proceedings (OSTI)

Abstract Abstract Abstract Vibrating dynamic characteristics have been a major unknown in the modeling and mechanical analysis of large hydro generators. An identification algorithm for vibrating dynamic characterization by using artificial neural network ...

Lijuan Cao; Shouju Li; Zichang Shangguan

2008-06-01T23:59:59.000Z

168

Estimating Water Needs to Meet 2025 Electricity Generating Capacity Forecasts by NERC Region  

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

NETL-2006/1235 NETL-2006/1235 August 2006 Revised April 8, 2008 Estimating Freshwater Needs to Meet Future Thermoelectric Generation Requirements Disclaimer 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, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement,

169

Evaluation and Uncertainty Estimation of NOAA/NSSL Next-Generation National Mosaic Quantitative Precipitation Estimation Product (Q2) over the Continental United States  

Science Conference Proceedings (OSTI)

Quantitative precipitation estimation (QPE) products from the next-generation National Mosaic and QPE system (Q2) are cross-compared to the operational, radar-only product of the National Weather Service (Stage II) using the gauge-adjusted and ...

Sheng Chen; Jonathan J. Gourley; Yang Hong; P. E. Kirstetter; Jian Zhang; Kenneth Howard; Zachary L. Flamig; Junjun Hu; Youcun Qi

2013-08-01T23:59:59.000Z

170

ESTIMATION OF RADIOLYTIC GAS GENERATION RATE FOR CYLINDRICAL RADIOACTIVE WASTE PACKAGES - APPLICATION TO SPENT ION EXCHANGE RESIN CONTAINERS  

DOE Green Energy (OSTI)

Radioactive waste packages containing water and/or organic substances have the potential to radiolytically generate hydrogen and other combustible gases. Typically, the radiolytic gas generation rate is estimated from the energy deposition rate and the radiolytic gas yield. Estimation of the energy deposition rate must take into account the contributions from all radionuclides. While the contributions from non-gamma emitting radionuclides are relatively easy to estimate, an average geometry factor must be computed to determine the contribution from gamma emitters. Hitherto, no satisfactory method existed for estimating the geometry factors for a cylindrical package. In the present study, a formulation was developed taking into account the effect of photon buildup. A prototype code, called PC-CAGE, was developed to numerically solve the integrals involved. Based on the selected dimensions for a cylinder, the specified waste material, the photon energy of interest and a value for either the absorption or attenuation coefficient, the code outputs values for point and average geometry factors. These can then be used to estimate the internal dose rate to the material in the cylinder and hence to calculate the radiolytic gas generation rate. Besides the ability to estimate the rates of radiolytic gas generation, PC-CAGE can also estimate the dose received by the container material. This is based on values for the point geometry factors at the surface of the cylinder. PC-CAGE was used to calculate geometry factors for a number of cylindrical geometries. Estimates for the absorbed dose rate in container material were also obtained. The results for Ontario Power Generation's 3 m3 resin containers indicate that about 80% of the source gamma energy is deposited internally. In general, the fraction of gamma energy deposited internally depends on the dimensions of the cylinder, the material within it and the photon energy; the fraction deposited increases with increasing dimensions of the cylinder and decreases with increasing photon energy.

Husain, A.; Lewis, Brent J.

2003-02-27T23:59:59.000Z

171

DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.  

SciTech Connect

The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a theoretical manual for selected algorithms implemented within the DAKOTA software. It is not intended as a comprehensive theoretical treatment, since a number of existing texts cover general optimization theory, statistical analysis, and other introductory topics. Rather, this manual is intended to summarize a set of DAKOTA-related research publications in the areas of surrogate-based optimization, uncertainty quantification, and optimization under uncertainty that provide the foundation for many of DAKOTA's iterative analysis capabilities.

Eldred, Michael Scott; Vigil, Dena M.; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton; Lefantzi, Sophia (Sandia National Laboratories, Livermore, CA); Hough, Patricia Diane (Sandia National Laboratories, Livermore, CA); Eddy, John P.

2011-12-01T23:59:59.000Z

172

Technical Basis for Generator Rotor Remaining Life Estimation Using Boresonic Inspection Data  

Science Conference Proceedings (OSTI)

Because they operate at much lower temperatures than turbine rotors, generator rotors do not experience the creep or thermal fatigue damage associated with turbine rotors. The major damage mechanism for generator rotors’ near-bore regions is low-cycle fatigue due to startups. However, current practices of generator boresonic inspection do not differentiate between generator rotors and turbine rotors. The current practices also have large variations, ranging from no boresonic inspection to ...

2012-12-12T23:59:59.000Z

173

Microphysical Interpretation of Multi-Parameter Radar Measurements in Rain. Part II: Estimation of Raindrop Distribution Parameters by Combined Dual-Wavelength and Polarization Measurements  

Science Conference Proceedings (OSTI)

The radar reflectivity weighted mean axis ratio R¯ and the variance of the axis ratio distribution ?R2 of an ensemble of raindrops can be estimated from polarization radar measurements. If the shape function relating axis ratio to drop size is ...

A. R. Jameson

1983-07-01T23:59:59.000Z

174

Application of the genetic algorithm to estimate the parameters related to the kinetics of the reduction of the iron ore, coal mixture  

SciTech Connect

A novel methodology has been developed to calculate the kinetic parameters associated with reduction of ore-coal composite mixtures and to describe the time course of reduction of hematite to iron. The empirical parameters, namely, the three sets of activation energies and frequency factors, have been estimated by employing an evolutionary optimization tool, the genetic algorithm (GA). The model prediction matches well with the experimental literature data. The estimated activation energies are higher than the corresponding intrinsic values, indicating the role of heat transfer in the process.

Kumar, A.; Roy, G.G. [Indian Institute of Technology, Kharagpur (India)

2005-12-01T23:59:59.000Z

175

Numerical estimation on free electrons generated by shielded radioactive materials under various gaseous environments  

SciTech Connect

We report simulation results on generation of free electrons due to the presence of radioactive materials under controlled pressure and gases using a general Monte Carlo transport code (MCNPX). A radioactive material decays to lower atomic number, simultaneously producing high energy gamma rays that can generate free electrons via various scattering mechanisms. This paper shows detailed simulation works for answering how many free electrons can be generated under the existence of shielded radioactive materials as a function of pressure and types of gases.

Kim, D. S. [Department of Physics, Ulsan National Institute of Science and Technology (UNIST), Ulsan 689-798 (Korea, Republic of); Lee, W. S.; So, J. H. [Agency for Defence Development (ADD), Daejeon 305-152 (Korea, Republic of); Choi, E. M. [Department of Physics, Ulsan National Institute of Science and Technology (UNIST), Ulsan 689-798 (Korea, Republic of); School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 689-798 (Korea, Republic of)

2013-06-15T23:59:59.000Z

176

GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation  

Science Conference Proceedings (OSTI)

Context: In software industry, project managers usually rely on their previous experience to estimate the number men/hours required for each software project. The accuracy of such estimates is a key factor for the efficient application of human resources. ... Keywords: Feature selection, Genetic algorithms, Regression, Software effort estimation, Support vector regression

Adriano L. I. Oliveira; Petronio L. Braga; Ricardo M. F. Lima; Márcio L. Cornélio

2010-11-01T23:59:59.000Z

177

Generator-coordinate-method with conjugate parameters and the unification of microscopic theories for large amplitude collective motion  

SciTech Connect

A dynamic theory of large amplitude collective motion of many particle systems is presented which is relevant, for example, to nuclear fission. The theory is microscopic and makes use of a collective path, i.e. a suitably constructed set of distorted nonequilibrium Slater determinants. The approach is a generalization of the generator coordinate method (GCM) and improves its dynamic aspects by extending it to a pair of conjugate generator parameters q and p (DGCM). The problems connected with redundancy and superfluous degrees of freedom are solved by prediagonalizing the local oscillations about each point of the dynamic collective basis vertical-barq,p>. For adiabatic large amplitude collective motion a Schroedinger equation is derived which appears to be nearly identical to the one obtained by a consistent quantization of semiclassical approaches as e.g. the adiabatic time dependent Hartree-Fock theory (ATDHF). In turn a collective path constructed by ATDHF proves to be particularly suited for being used in the present DGCM formalism. Altogether the formalism unifies two classes of microscopic approaches to collective motion, viz. the quantum mechanical GCM and the classical theories like cranking and ATDHF.

Goeke, K.; Reinhard, P.

1980-02-01T23:59:59.000Z

178

Performance Assessment of a New Stationarity-based Parameter Estimation Method with a Simplified Land Surface Model Using In-situ and Remotely Sensed Surface States  

Science Conference Proceedings (OSTI)

We evaluate the performance of a new stationarity-based method for parameter estimation of a simple coupled water and energy balance model using in-situ and remotely sensed surface soil moisture (from AMSR-E) and surface temperature (from a ...

Jian Sun; Guido D. Salvucci

179

Estimation of field-scale soil hydraulic and dielectric parameters through joint inversion of GPR and hydrological data  

E-Print Network (OSTI)

Catalog of Vadose Zone Hydraulic Properties for the Hanfordand Measurement of the Hydraulic Properties of UnsaturatedEstimation for Soil Hydraulic Properties Using Zero-Offset

2005-01-01T23:59:59.000Z

180

Original article: Lumped-parameter-based thermal analysis of a doubly radial forced-air-cooled direct-driven permanent magnet wind generator  

Science Conference Proceedings (OSTI)

A lumped-parameter-based thermal analysis of a direct-driven permanent magnet wind generator with double radial forced-air cooling is presented. In the proposed thermal model, the thermal conduction and convection as well as the heating of the cooling ... Keywords: Air cooling, Permanent magnet synchronous generator, Thermal analysis, Thermal resistance networks

Janne Nerg, Vesa Ruuskanen

2013-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Echo-state-network-based real-time wind speed estimation for wind power generation  

Science Conference Proceedings (OSTI)

Wind turbine generators (WTGs) are usually equipped with one or more well-calibrated anemometers to measure wind speed for system monitoring, control, and protection. The use of these mechanical sensors increases the cost and hardware complexity and ...

Wei Qiao

2009-06-01T23:59:59.000Z

182

Preliminary estimates of electrical generating capacity of slim holes--a theoretical approach  

SciTech Connect

The feasibility of using small geothermal generators (< 1 MWe) for off-grid electrical power in remote areas or for rural electrification in developing nations would be enhanced if drilling costs could be reduced. This paper examines the electrical generating capacity of fluids which can be produced from typical slim holes (six-inch diameter or less), both by binary techniques (with downhole pumps) and, for hotter reservoir fluids, by conventional spontaneous-discharge flash-steam methods. Depending mainly on reservoir temperature, electrical capacities from a few hundred kilowatts to over one megawatt per slim hole appear to be possible.

Pritchett, John W.

1995-01-26T23:59:59.000Z

183

Multidataset Study of Optimal Parameter and Uncertainty Estimation of a Land Surface Model with Bayesian Stochastic Inversion and Multicriteria Method  

Science Conference Proceedings (OSTI)

This study evaluates the ability of Bayesian stochastic inversion (BSI) and multicriteria (MC) methods to search for the optimal parameter sets of the Chameleon Surface Model (CHASM) using prescribed forcing to simulate observed sensible and ...

Youlong Xia; Mrinal K. Sen; Charles S. Jackson; Paul L. Stoffa

2004-10-01T23:59:59.000Z

184

Energy values and estimation of power generation potentials of some non-woody biomass species  

Science Conference Proceedings (OSTI)

In view of high energy potentials in non-woody biomass species and an increasing interest in their utilization for power generation, an attempt has been made in this study to assess the proximate analysis and energy content of different components of Ocimum canum and Tridax procumbens biomass species (both non-woody), and their impact on power generation and land requirement for energy plantations. The net energy content in Ocimum canum was found to be slightly higher than that in Tridax procumbens. In spite of having higher ash contents, the barks from both the plant species exhibited higher calorific values. The results have shown that approximately 650 and 1,270 hectares of land are required to generate 20,000 kWh/day electricity from Ocimum canum and Tridax procumbens biomass species. Coal samples, obtained from six different local mines, were also examined for their qualities, and the results were compared with those of studied biomass materials. This comparison reveals much higher power output with negligible emission of suspended particulate matters (SPM) from biomass materials.

Kumar, M.; Patel, S.K. [National Institute of Technology, Rourkela (India)

2008-07-01T23:59:59.000Z

185

Combined Estimation of Hydrogeologic Conceptual Model, Parameter, and Scenario Uncertainty with Application to Uranium Transport at the Hanford Site 300 Area  

SciTech Connect

This report to the Nuclear Regulatory Commission (NRC) describes the development and application of a methodology to systematically and quantitatively assess predictive uncertainty in groundwater flow and transport modeling that considers the combined impact of hydrogeologic uncertainties associated with the conceptual-mathematical basis of a model, model parameters, and the scenario to which the model is applied. The methodology is based on a n extension of a Maximum Likelihood implementation of Bayesian Model Averaging. Model uncertainty is represented by postulating a discrete set of alternative conceptual models for a site with associated prior model probabilities that reflect a belief about the relative plausibility of each model based on its apparent consistency with available knowledge and data. Posterior model probabilities are computed and parameter uncertainty is estimated by calibrating each model to observed system behavior; prior parameter estimates are optionally included. Scenario uncertainty is represented as a discrete set of alternative future conditions affecting boundary conditions, source/sink terms, or other aspects of the models, with associated prior scenario probabilities. A joint assessment of uncertainty results from combining model predictions computed under each scenario using as weight the posterior model and prior scenario probabilities. The uncertainty methodology was applied to modeling of groundwater flow and uranium transport at the Hanford Site 300 Area. Eight alternative models representing uncertainty in the hydrogeologic and geochemical properties as well as the temporal variability were considered. Two scenarios represent alternative future behavior of the Columbia River adjacent to the site were considered. The scenario alternatives were implemented in the models through the boundary conditions. Results demonstrate the feasibility of applying a comprehensive uncertainty assessment to large-scale, detailed groundwater flow and transport modeling and illustrate the benefits of the methodology I providing better estimates of predictive uncertiay8, quantitative results for use in assessing risk, and an improved understanding of the system behavior and the limitations of the models.

Meyer, Philip D.; Ye, Ming; Rockhold, Mark L.; Neuman, Shlomo P.; Cantrell, Kirk J.

2007-07-30T23:59:59.000Z

186

In-situ parameter estimation for solar domestic hot water heating systems components. Final report, June 1995--May 1996  

DOE Green Energy (OSTI)

Three different solar domestic hot water systems are being tested at the Colorado State University Solar Energy Applications Laboratory; an unpressurized drain-back system with a load side heat exchanger, an integral collector storage system, and an ultra low flow natural convection heat exchanger system. The systems are fully instrumented to yield data appropriate for in-depth analyses of performance. The level of detail allows the observation of the performance of the total system and the performance of the individual components. This report evaluates the systems based on in-situ experimental data and compares the performances with simulated performances. The verification of the simulations aids in the rating procedure. The whole system performance measurements are also used to analyze the performance of individual components of a solar hot water system and to develop improved component models. The data are analyzed extensively and the parameters needed to characterize the systems fully are developed. Also resulting from this indepth analysis are suggested design improvements wither to the systems or the system components.

Smith, T.R.

1997-03-01T23:59:59.000Z

187

Lab Scale Hydraulic Parameter Estimation .  

E-Print Network (OSTI)

??Hydraulic tomography has been tested at the field scale, lab scale and in synthetic experiments. Recently Illman and Berg have conducted studies at the lab… (more)

Hartz, Andrew Scott

2011-01-01T23:59:59.000Z

188

Estimation of Arrhenius parameters for the 1,1 elimination of H{sub 2} from Si{sub 2}H{sub 6} and the role of chemically activated disilane in silane pyrolysis  

SciTech Connect

This paper analyzes the Arrhenius parameters for the 1,1 H{sub 2} dissociation channel reaction rate for the disilane thermal decomposition. The RRKM model is used to estimate these arrhenius parameters. The role that chemically active disilane plays in the pyrolysis of silanes is also discussed. The estimate of the heat of formation of H{sub 3}SiSiH is determined also.

Moffat, H.K.; Jensen, K.F.; Carr, R.W. [Univ. of Minnesota, Minneapolis, MN (United States)

1992-09-17T23:59:59.000Z

189

DAKOTA, a multilevel parellel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 uers's manual.  

Science Conference Proceedings (OSTI)

The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the DAKOTA software and provides capability overviews and procedures for software execution, as well as a variety of example studies.

Griffin, Joshua D. (Sandai National Labs, Livermore, CA); Eldred, Michael Scott; Martinez-Canales, Monica L. (Sandai National Labs, Livermore, CA); Watson, Jean-Paul; Kolda, Tamara Gibson (Sandai National Labs, Livermore, CA); Giunta, Anthony Andrew; Adams, Brian M.; Swiler, Laura Painton; Williams, Pamela J. (Sandai National Labs, Livermore, CA); Hough, Patricia Diane (Sandai National Labs, Livermore, CA); Gay, David M.; Dunlavy, Daniel M.; Eddy, John P.; Hart, William Eugene; Brown, Shannon L.

2006-10-01T23:59:59.000Z

190

DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.  

Science Conference Proceedings (OSTI)

The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the DAKOTA software and provides capability overviews and procedures for software execution, as well as a variety of example studies.

Eldred, Michael Scott; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton; Hough, Patricia Diane (Sandia National Laboratories, Livermore, CA); Gay, David M.; Eddy, John P.; Haskell, Karen H.

2010-05-01T23:59:59.000Z

191

Applications of the Bayesian approach for experimentation and estimation  

E-Print Network (OSTI)

A Bayesian framework for systematic data collection and parameter estimation is proposed to aid experimentalists in effectively generating and interpreting data. The four stages of the Bayesian framework are: system ...

De Man, Patrick A. P. (Patrick Antonius Petrus)

2006-01-01T23:59:59.000Z

192

Algorithm for Estimation of the Specific Differential Phase  

Science Conference Proceedings (OSTI)

The specific differential phase Kdp is one of the important parameters measured by dual-polarization radar that is being considered for the upgrade of the current Next Generation Weather Radar (NEXRAD) system. Estimation of the specific ...

Yanting Wang; V. Chandrasekar

2009-12-01T23:59:59.000Z

193

Wind-Generated Power Input to the Deep Ocean: An Estimate Using a 1/10° General Circulation Model  

Science Conference Proceedings (OSTI)

Recent studies on the wind-generated power input to the geostrophic and nongeostrophic ocean circulation components have used expressions derived from Ekman dynamics. The present work extends and unifies previous studies by deriving an expression ...

Jin-Song von Storch; Hideharu Sasaki; Jochem Marotzke

2007-03-01T23:59:59.000Z

194

Land Surface Temperature Estimation from the Next Generation of Geostationary Operational Environmental Satellites: GOES M–Q  

Science Conference Proceedings (OSTI)

The next generation of Geostationary Operational Environmental Satellites (GOES M–Q) will have only one thermal window channel instead of the current two split-window thermal channels. There is a need to evaluate the usefulness of this new ...

Donglian Sun; Rachel T. Pinker; Jeffery B. Basara

2004-02-01T23:59:59.000Z

195

Globally Optimal Estimation of Nonrigid Image Distortion  

Science Conference Proceedings (OSTI)

Image alignment in the presence of non-rigid distortions is a challenging task. Typically, this involves estimating the parameters of a dense deformation field that warps a distorted image back to its undistorted template. Generative approaches based ... Keywords: Combine generative and discriminative approaches, Computer vision, Distortion estimation, Feature correspondence, Global optimum, Image alignment, Image registration, Iterative approach, Motion and tracking, Nonrigid deformation, Physics-based vision, Water distortion

Yuandong Tian; Srinivasa G. Narasimhan

2012-07-01T23:59:59.000Z

196

Main Parameters  

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

Lattice Definitions Up: APS Storage Ring Parameters Previous: APS Storage Ring Parameters Main Parameters Storage Ring Parameters Notation Model Value General Parameters Nominal...

197

A Methodology for Estimating the Parameters of a Gamma Raindrop Size Distribution Model from Polarimetric Radar Data: Application to a Squall-Line Event from the TRMM/Brazil Campaign  

Science Conference Proceedings (OSTI)

A methodology is proposed for estimating the parameters of a gamma raindrop size distribution model from radar measurements of Zh, Zdr, and Kdp at S band. Previously developed algorithms by Gorgucci et al. are extended to cover low rain-rate ...

V. N. Bringi; Gwo-Jong Huang; V. Chandrasekar; E. Gorgucci

2002-05-01T23:59:59.000Z

198

Basis for a Rainfall Estimation Technique Using IR–VIS Cloud Classification and Parameters over the Life Cycle of Mesoscale Convective Systems  

Science Conference Proceedings (OSTI)

This paper discusses the basis for a new rainfall estimation method using geostationary infrared and visible data. The precipitation radar on board the Tropical Rainfall Measuring Mission satellite is used to train the algorithm presented (which ...

G. Delgado; Luiz A. T. Machado; Carlos F. Angelis; Marcus J. Bottino; Á. Redaño; J. Lorente; L. Gimeno; R. Nieto

2008-05-01T23:59:59.000Z

199

A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part II: The Generation of Global Fields of Terrestrial Biophysical Parameters from Satellite Data  

Science Conference Proceedings (OSTI)

The global parameter fields used in the revised Simple Biosphere Model (SiB2) of Sellers et al. are reviewed. The most important innovation over the earlier SiB1 parameter set of Dorman and Sellers is the use of satellite data to specify the time-...

Piers J. Sellers; Compton J. Tucker; G. James Collatz; Sietse O. Los; Christopher O. Justice; Donald A. Dazlich; David A. Randall

1996-04-01T23:59:59.000Z

200

shape parameters  

Science Conference Proceedings (OSTI)

... Shape Parameters or Form factors. Shape parameters or form factors are derived from more basic measurements such ...

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


201

Measuring the Impact of Experimental Parameters upon the Estimated Thermal Conductivity of Closed-Cell Foam Insulation Subjected to an Accelerated Aging Protocol ? Two Year Results  

SciTech Connect

The thermal conductivity of many closed-cell foam insulation products changes over time as production gases diffuse out of the cell matrix and atmospheric gases diffuse into the cells. Thin slicing has been shown to be an effective means of accelerating this process in such a way as to produce meaningful results. Efforts to produce a more prescriptive version of the ASTM C 1303 standard test method have led to a broad ruggedness test. This test includes the aging of full size insulation specimens for time periods up to five years for later comparison to the predicted results. Experimental parameters under investigation include: slice thickness, slice origin (at the surface or from the core of the slab), thin slice stack composition, product facings, original product thickness, product density, and product type. This paper will compare the results after two years of full-thickness aging.

Stovall, Therese K [ORNL

2009-01-01T23:59:59.000Z

202

Process Parameters and Controls  

Science Conference Proceedings (OSTI)

Figure: ...Fig. 15 Effect of alloy and process parameters on the generation of residual-stress states. v , shot velocity; p , peening pressure; t , peening time; d , ball diameter; HV s , ball hardness; HV w , workpiece hardness. Source: Ref 11...

203

Adaptive Battery Monitoring using Parameter Estimation.  

E-Print Network (OSTI)

??The popularity of Hybrid-electric vehicles (HEV) in today's automotive industry is because of its higher fuel-efficiency and reduced emissions of polluting gases . In a… (more)

Parthasarathy, Nandakumar

2009-01-01T23:59:59.000Z

204

Analysis of the tradeoff between irrigated agriculure and hydroelectric power in the Pacific Northwest. [Base-line estimate of the effects of agricultural irrigation on the hydroelectric power generating potential projected for the year 2020  

DOE Green Energy (OSTI)

Hydrogeneration and irrigated agriculture are major competing users of the waters of the Columbia River and its tributaries. Irrigated agriculture requires the diversion of large amounts of water from the rivers, only part of which returns. As a result, streamflow is reduced and the generation potential of dams located downstream from points of irrigation diversion is reduced. In addition, irrigated agriculture involves the direct consumption of electricity to pump irrigation water and to apply it to crops in the field. The purpose of this report is to make a baseline estimate of the impact on the electrical generation system in the region of the level of irrigation development projected for year 2020 by the states of Oregon, Washington, and Idaho. This baseline estimate reflects the assumption that current conditions will prevail in the future. The results, therefore, provide a standard against which the impacts of changes in current conditions can be measured. It is estimated that the projected development level of 11.4 million acres of irrigated agriculture in Oregon, Washington, and Idaho by year 2020 would result in foregone hydroelectric generation potential of approximately 17.8 million megawatt-hours (MWh) annually and direct consumption of electric power for pumping and application of approximately 10.3 million MWh's annually. Thus, a total of 28.1 million MWh's of electric power generation will have to be traded off each year if irrigated agriculture is to be conducted on the projected scale. (ERB)

Davis, A. E.

1979-01-01T23:59:59.000Z

205

James-Stein type estimators of variances  

Science Conference Proceedings (OSTI)

In this paper we propose James-Stein type estimators for variances raised to a fixed power by shrinking individual variance estimators towards the arithmetic mean. We derive and estimate the optimal choices of shrinkage parameters under both the squared ... Keywords: 62H12, Inadmissibility, Shrinkage estimation, Shrinkage parameter, Squared loss function, Stein loss function, Variance estimation

Tiejun Tong; Homin Jang; Yuedong Wang

2012-05-01T23:59:59.000Z

206

Median statistics cosmological parameter values  

E-Print Network (OSTI)

We present median statistics central values and ranges for 12 cosmological parameters, using 582 measurements (published during 1990-2010) collected by Croft & Dailey (2011). On comparing to the recent Planck collaboration Ade et al. 2013 estimates of 11 of these parameters, we find good consistency in nine cases.

Crandall, Sara

2013-01-01T23:59:59.000Z

207

NSLS Ring Parameters  

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

Ring Parameters VUV Ring Parameters X-Ray Ring Parameters Booster Ring Parameters Map of Experimental Floor (jpg)...

208

Radiation Stress Estimators  

Science Conference Proceedings (OSTI)

The radiation stresses Sij associated with the propagation of wind-generated waves are principal driving forces for several important surf-zone processes. The accurate estimation of the onshore flux of longshore-directed mean momentum Syx, using ...

S. S. Pawka; D. L. Inman; R. T. Guza

1983-09-01T23:59:59.000Z

209

Automated Tuning of Optimization Software Parameters  

E-Print Network (OSTI)

ACM Press, Washington DC, USA, 1085–1086. Kohavi, Ron, George John. 1995. Automatic parameter selection by minimizing estimated error. Armand.

210

Climatic indicators for estimating residential heating and cooling loads  

Science Conference Proceedings (OSTI)

An extensive data base of residential energy use generated with the DOE-2.1A simulation code provides an opportunity for correlating building loads predicted by an hourly simulation model to commonly used climatic parameters such as heating and cooling degree-days, and to newer parameters such as insolation-days and latent enthalpy-days. The identification of reliable climatic parameters for estimating cooling loads and the incremental loads for individual building components, such as changing ceiling and wall R-values, infiltration rates or window areas is emphasized.

Huang, Y.J.; Ritschard, R.; Bull, J.; Chang, L.

1986-11-01T23:59:59.000Z

211

Estimating the Accuracy of Polarimetric Radar–Based Retrievals of Drop-Size Distribution Parameters and Rain Rate: An Application of Error Variance Separation Using Radar-Derived Spatial Correlations  

Science Conference Proceedings (OSTI)

The accuracy of retrieving the two drop size distribution (DSD) parameters, median volume diameter (D0), and normalized intercept parameter (NW), as well as rain rate (R), from polarimetric C-band radar data obtained during a cool-season, long-...

M. Thurai; V. N. Bringi; L. D. Carey; P. Gatlin; E. Schultz; W. A. Petersen

2012-06-01T23:59:59.000Z

212

Scaling Characteristics of Soil Hydraulic Parameters at Varying Spatial Resolutions  

E-Print Network (OSTI)

This dissertation focuses on the challenge of soil hydraulic parameter scaling in soil hydrology and related applications in general; and, in particular, the upscaling of these parameters to provide effective values at coarse scales. Soil hydraulic properties are required for many hydrological and ecological models at their representative scales. Prediction accuracy of these models is highly dependent on the quality of the model input parameters. However, measurement of parameter data at all such required scales is impractical as that would entail huge outlays of finance, time and effort. Hence, alternate methods of estimating the soil hydraulic parameters at the scales of interest are necessary. Two approaches to bridge this gap between the measurement and application scales for soil hydraulic parameters are presented in this dissertation. The first one is a stochastic approach, based on artificial neural networks (ANNs) applied within a Bayesian framework. ANNs have been used before to derive soil hydraulic parameters from other more easily measured soil properties at matching scales. Here, ANNs were applied with different training and simulation scales. This concept was further extended to work within a Bayesian framework in order to provide estimates of uncertainty in such parameter estimations. Use of ancillary information such as elevation and vegetation data, in addition to the soil physical properties, were also tested. These multiscale pedotransfer function methods were successfully tested with numerical and field studies at different locations and scales. Most upscaling efforts thus far ignore the effect of the topography on the upscaled soil hydraulic parameter values. While this flat-terrain assumption is acceptable at coarse scales of a few hundred meters, at kilometer scales and beyond, the influence of the physical features cannot be ignored. anew upscaling scheme which accounts for variations in topography within a domain was developed to upscale soil hydraulic parameters to hill-slope (kilometer) scales. The algorithm was tested on different synthetically generated topographic configurations with good results. Extending the methodology to field conditions with greater complexities also produced good results. A comparison of different recently developed scaling schemes showed that at hill-slope scales, inclusion of topographic information produced better estimates of effective soil hydraulic parameters at that scale.

Belur Jana, Raghavendra

2010-05-01T23:59:59.000Z

213

NONPARAMETRIC BAYESIAN ESTIMATION OF PERIODIC LIGHT CURVES  

SciTech Connect

Many astronomical phenomena exhibit patterns that have periodic behavior. An important step when analyzing data from such processes is the problem of identifying the period: estimating the period of a periodic function based on noisy observations made at irregularly spaced time points. This problem is still a difficult challenge despite extensive study in different disciplines. This paper makes several contributions toward solving this problem. First, we present a nonparametric Bayesian model for period finding, based on Gaussian Processes (GPs), that does not make assumptions on the shape of the periodic function. As our experiments demonstrate, the new model leads to significantly better results in period estimation especially when the light curve does not exhibit sinusoidal shape. Second, we develop a new algorithm for parameter optimization for GP which is useful when the likelihood function is very sensitive to the parameters with numerous local minima, as in the case of period estimation. The algorithm combines gradient optimization with grid search and incorporates several mechanisms to overcome the high computational complexity of GP. Third, we develop a novel approach for using domain knowledge, in the form of a probabilistic generative model, and incorporate it into the period estimation algorithm. Experimental results validate our approach showing significant improvement over existing methods.

Wang Yuyang; Khardon, Roni [Department of Computer Science, Tufts University, Medford, MA (United States); Protopapas, Pavlos [Harvard-Smithsonian Center for Astrophysics, Cambridge, MA (United States)

2012-09-01T23:59:59.000Z

214

Storage Ring Parameters  

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

Photon Source Parameters Storage Ring Parameters Print General Parameters Parameter Value Beam particle electron Beam energy 1.9 GeV (1.0-1.9 GeV possible) Injection energy 1.9 GeV...

215

Electrochromic Glazings: Animation Parameters  

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

Glazings Glazings Animation Simulation Parameters The Electrochromic Glazing Office Animation is created using an image compositing method whereby separate images of the office generated with only one source of illumination are added together in variable percentages to come up with the final image. This method assumes that the sources of illumination do not change position through the animation sequence. Although the sun does move approximately 5 degrees during the span of this 20 minute animation sequence, because this movement is not the focus of the simulation and does not significantly change the intensity of the solar exposure, it is ignored. This method takes advantage of the principal of the scalability of light to avoid the significant time involved in calculating separate Radiance renderings for each combination of sky condition (direct sun versus no direct sun) and electrochromic glazing transmission.

216

Iterative phase estimation  

E-Print Network (OSTI)

We give an iterative algorithm for phase estimation of a parameter theta, which is within a logarithmic factor of the Heisenberg limit. Unlike other methods, we do not need any entanglement or an extra rotation gate which can perform arbitrary rotations with almost perfect accuracy: only a single copy of the unitary channel and basic measurements are needed. Simulations show that the algorithm is successful. We also look at iterative phase estimation when depolarizing noise is present. It is seen that the algorithm is still successful provided the number of iterative stages is below a certain threshold.

Caleb J O'Loan

2009-04-22T23:59:59.000Z

217

Final Technical Report - Integrated Hydrogeophysical and Hydrogeologic Driven Parameter Upscaling for Dual-Domain Transport Modeling  

SciTech Connect

The three major components of this research were: 1. Application of minimally invasive, cost effective hydrogeophysical techniques (surface and borehole), to generate fine scale (~1m or less) 3D estimates of subsurface heterogeneity. Heterogeneity is defined as spatial variability in hydraulic conductivity and/or hydrolithologic zones. 2. Integration of the fine scale characterization of hydrogeologic parameters with the hydrogeologic facies to upscale the finer scale assessment of heterogeneity to field scale. 3. Determination of the relationship between dual-domain parameters and practical characterization data.

Shafer, John M

2012-11-05T23:59:59.000Z

218

Interstellar Turbulent Magnetic Field Generation by Plasma Instabilities  

E-Print Network (OSTI)

The maximum magnetic field strength generated by Weibel-type plasma instabilities is estimated for typical conditions in the interstellar medium. The relevant kinetic dispersion relations are evaluated by conducting a parameter study both for Maxwellian and for suprathermal particle distributions showing that micro Gauss magnetic fields can be generated. It is shown that, depending on the streaming velocity and the plasma temperatures, either the longitudinal or a transverse instability will be dominant. In the presence of an ambient magnetic field, the filamentation instability is typically suppressed while the two-stream and the classic Weibel instability are retained.

Tautz, R C

2013-01-01T23:59:59.000Z

219

Parameter identification for chemical models in combustion problems  

Science Conference Proceedings (OSTI)

We present an algorithm for parameter identification in combustion problems modeled by partial differential equations. The method includes local mesh refinement controlled by a posteriori error estimation with respect to the error in the parameters. ...

R. Becker; M. Braack; B. Vexler

2005-08-01T23:59:59.000Z

220

Life Cycle GHG Emissions from Conventional Natural Gas Power Generation: Systematic Review and Harmonization (Presentation)  

SciTech Connect

This research provides a systematic review and harmonization of the life cycle assessment (LCA) literature of electricity generated from conventionally produced natural gas. We focus on estimates of greenhouse gases (GHGs) emitted in the life cycle of electricity generation from conventionally produced natural gas in combustion turbines (NGCT) and combined-cycle (NGCC) systems. A process we term "harmonization" was employed to align several common system performance parameters and assumptions to better allow for cross-study comparisons, with the goal of clarifying central tendency and reducing variability in estimates of life cycle GHG emissions. This presentation summarizes preliminary results.

Heath, G.; O'Donoughue, P.; Whitaker, M.

2012-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Optimal Longitudinal Cohort Designs and Variance Parameter Estimation  

E-Print Network (OSTI)

1] Atkinson, A.C. and Donev, A.N. (1992). Optimumby the ratio (Atkinson and Donev, 1992 [1]): D -Eff( ? 2 | ?

Gan, Lu

2011-01-01T23:59:59.000Z

222

On Regularization Parameters Estimation in Edge---Preserving Image Reconstruction  

Science Conference Proceedings (OSTI)

The image restoration problem is a well known ill-posed inverse problem. Thus, to solve it some regularization techniques are necessary. By these techniques the solution of the problem is defined as the minimum of an energy function. This function is ...

Ivan Gerace; Francesca Martinelli

2008-06-01T23:59:59.000Z

223

Uncertainty Representation: Estimating Process Parameters for Forward Price Forecasting  

Science Conference Proceedings (OSTI)

Market prices set the value of electric power assets and contracts, yet forward prices are unavailable for time horizons relevant to most valuations. Price forecasts are inherently uncertain because the drivers of prices are uncertain, but equilibrating market forces also work to reduce the growth of uncertainty over time. Consequently, quantifying the degree of future price uncertainty is difficult, but has tremendous strategic potential for power companies seeking to value real options and invest in fl...

1999-12-10T23:59:59.000Z

224

PARAMETER ESTIMATION BASED MODELS OF WATER SOURCE HEAT PUMPS  

E-Print Network (OSTI)

, Singapore. ©2006, American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (www operating refrigerant pressure limits). A design goal must therefore be to control the rise or drop exponent is dependent on the refrigerant type; the values of the isentropic exponents are obtained from

225

PARAMETER ESTIMATION BASED MODELS OF WATER SOURCE HEAT PUMPS  

E-Print Network (OSTI)

a two-year research program in heat transfer and viscoelastic fluid flows, after working for some time Sciences), Fluid Mechanics, Heat Transfer and related (815) 753-9975 Page 1 of 2WSEAS Conferences: www on HEAT and MASS TRANSFER (HMT'09) [Download a Map of the area (16 Kbytes)] [Download a Map of the city

226

Parameter Estimation and Compensation in Systems with Nonlinearly Parameterized Perturbations  

E-Print Network (OSTI)

. Underbalanced drilling dynamics: Two-phase flow modelling, experiments and numerical solutions techniques. In

Johansen, Tor Arne

227

Parameter Estimation and Compensation in Systems with Nonlinearly Parameterized Perturbations  

E-Print Network (OSTI)

., Sævareid, O., Fjelde, K. K., 2000. Underbalanced drilling dynamics: Two-phase flow modelling, experiments

Johansen, Tor Arne

228

Being surveyed can change later behavior and related parameter estimates  

E-Print Network (OSTI)

Does completing a household survey change the later behavior of those surveyed? In three field studies of health and two of microlending, we randomly assigned subjects to be surveyed about health and/or household finances ...

Zwane, Alix Peterson

229

Estimating Urban Canopy Parameters Using Synthetic Aperture Radar Data  

Science Conference Proceedings (OSTI)

This paper introduces a remote sensing–based approach to rapidly derive urban morphological characteristics using radar satellite data. The approach is based on the expectation that the magnitude of the synthetic aperture radar (SAR) backscatter ...

Indumathi Jeyachandran; Steven J. Burian; Stephen W. Stetson

2010-04-01T23:59:59.000Z

230

Diverging moments and parameter estimation Paulo Goncalv`es  

E-Print Network (OSTI)

months between milestones. Capture issues by tracking logs, Excel, a cost trend log, etc., so it doesn

Gonçalves, Paulo

231

Quantum estimation of relative information  

E-Print Network (OSTI)

We derive optimal schemes for preparation and estimation of relational degrees of freedom between two quantum systems. We specifically analyze the case of rotation parameters representing relative angles between elements of the SU(2) symmetry group. Our estimation procedure does not assume prior knowledge of the absolute spatial orientation of the systems and as such does not require information on the underlying classical reference frame in which the states are prepared.

Netanel H. Lindner; Petra F. Scudo; Dagmar Bruss

2005-06-27T23:59:59.000Z

232

Distributed Generation  

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

Untapped Value of Backup Generation Untapped Value of Backup Generation While new guidelines and regulations such as IEEE (Institute of Electrical and Electronics Engineers) 1547 have come a long way in addressing interconnection standards for distributed generation, utilities have largely overlooked the untapped potential of these resources. Under certain conditions, these units (primarily backup generators) represent a significant source of power that can deliver utility services at lower costs than traditional centralized solutions. These backup generators exist today in large numbers and provide utilities with another option to reduce peak load, relieve transmission congestion, and improve power reliability. Backup generation is widely deployed across the United States. Carnegie Mellon's Electricity

233

Spatial Variability and Interpolation of Stochastic Weather Simulation Model Parameters  

Science Conference Proceedings (OSTI)

The spatial variability of 58 precipitation and temperature parameters from the “generation of weather elements for multiple applications” (GEM) weather generator has been investigated over a region of significant complexity in topography and ...

Gregory L. Johnson; Christopher Daly; George H. Taylor; Clayton L. Hanson

2000-06-01T23:59:59.000Z

234

On reactor type comparisons for the next generation of reactors  

SciTech Connect

In this paper, we present a broad comparison of studies for a selected set of parameters for different nuclear reactor types including the next generation. This serves as an overview of key parameters which provide a semi-quantitative decision basis for selecting nuclear strategies. Out of a number of advanced reactor designs of the LWR type, gas cooled type, and FBR type, currently on the drawing board, the Advanced Light Water Reactors (ALWR) seem to have some edge over other types of the next generation of reactors for the near-term application. This is based on a number of attributes related to the benefit of the vast operating experience with LWRs coupled with an estimated low risk profile, economics of scale, degree of utilization of passive systems, simplification in the plant design and layout, modular fabrication and manufacturing. 32 refs., 1 fig., 3 tabs.

Alesso, H.P.; Majumdar, K.C.

1991-08-22T23:59:59.000Z

235

electric generation | OpenEI Community  

Open Energy Info (EERE)

(TCDB) advanced vehicles electric generation NREL OpenEI renewables tcdb This new web application collects cost and performance estimates and makes it available to everyone...

236

On Generating Random Network Structures: Connected Graphs  

Science Conference Proceedings (OSTI)

are presented for random generation of connected graphs, sugraphs (sub- graphs on the ... a distribution and take it into account at estimation. Attainability is ...

237

Extracting the fundamental parameters  

E-Print Network (OSTI)

If supersymmetry is discovered at the LHC, the extraction of the fundamental parameters will be a formidable task. In such a system where measurements depend on different combinations of the parameters in a highly correlated system, the identification of the true parameter set in an efficient way necessitates the development and use of sophisticated methods. A rigorous treatment of experimental and theoretical errors is necessary to determine the precision of the measurement of the fundamental parameters. The techniques developed for this endeavor can also be applied to similar problems such as the determination of the Higgs boson couplings at the LHC.

Dirk Zerwas

2009-09-30T23:59:59.000Z

238

Measuring neutrino oscillation parameters using $\  

SciTech Connect

MINOS is a long-baseline neutrino oscillation experiment. It consists of two large steel-scintillator tracking calorimeters. The near detector is situated at Fermilab, close to the production point of the NuMI muon-neutrino beam. The far detector is 735 km away, 716m underground in the Soudan mine, Northern Minnesota. The primary purpose of the MINOS experiment is to make precise measurements of the 'atmospheric' neutrino oscillation parameters ({Delta}m{sub atm}{sup 2} and sin{sup 2} 2{theta}{sub atm}). The oscillation signal consists of an energy-dependent deficit of {nu}{sub {mu}} interactions in the far detector. The near detector is used to characterize the properties of the beam before oscillations develop. The two-detector design allows many potential sources of systematic error in the far detector to be mitigated by the near detector observations. This thesis describes the details of the {nu}{sub {mu}}-disappearance analysis, and presents a new technique to estimate the hadronic energy of neutrino interactions. This estimator achieves a significant improvement in the energy resolution of the neutrino spectrum, and in the sensitivity of the neutrino oscillation fit. The systematic uncertainty on the hadronic energy scale was re-evaluated and found to be comparable to that of the energy estimator previously in use. The best-fit oscillation parameters of the {nu}{sub {mu}}-disappearance analysis, incorporating this new estimator were: {Delta}m{sup 2} = 2.32{sub -0.08}{sup +0.12} x 10{sup -3} eV{sup 2}, sin {sup 2} 2{theta} > 0.90 (90% C.L.). A similar analysis, using data from a period of running where the NuMI beam was operated in a configuration producing a predominantly {bar {nu}}{sub {mu}} beam, yielded somewhat different best-fit parameters {Delta}{bar m}{sup 2} = (3.36{sub -0.40}{sup +0.46}(stat.) {+-} 0.06(syst.)) x 10{sup -3}eV{sup 2}, sin{sup 2} 2{bar {theta}} = 0.86{sub -0.12}{sup _0.11}(stat.) {+-} 0.01(syst.). The tension between these results is intriguing, and additional antineutrino data is currently being taken in order to further investigate this apparent discrepancy.

Backhouse, Christopher James; /Oxford U.

2011-02-01T23:59:59.000Z

239

Vector generator scan converter  

DOE Patents (OSTI)

High printing speeds for graphics data are achieved with a laser printer by transmitting compressed graphics data from a main processor over an I/O (input/output) channel to a vector generator scan converter which reconstructs a full graphics image for input to the laser printer through a raster data input port. The vector generator scan converter includes a microprocessor with associated microcode memory containing a microcode instruction set, a working memory for storing compressed data, vector generator hardward for drawing a full graphic image from vector parameters calculated by the microprocessor, image buffer memory for storing the reconstructed graphics image and an output scanner for reading the graphics image data and inputting the data to the printer. The vector generator scan converter eliminates the bottleneck created by the I/O channel for transmitting graphics data from the main processor to the laser printer, and increases printer speed up to thirty fold.

Moore, James M. (Livermore, CA); Leighton, James F. (Livermore, CA)

1990-01-01T23:59:59.000Z

240

Vector generator scan converter  

DOE Patents (OSTI)

High printing speeds for graphics data are achieved with a laser printer by transmitting compressed graphics data from a main processor over an I/O channel to a vector generator scan converter which reconstructs a full graphics image for input to the laser printer through a raster data input port. The vector generator scan converter includes a microprocessor with associated microcode memory containing a microcode instruction set, a working memory for storing compressed data, vector generator hardware for drawing a full graphic image from vector parameters calculated by the microprocessor, image buffer memory for storing the reconstructed graphics image and an output scanner for reading the graphics image data and inputting the data to the printer. The vector generator scan converter eliminates the bottleneck created by the I/O channel for transmitting graphics data from the main processor to the laser printer, and increases printer speed up to thirty fold. 7 figs.

Moore, J.M.; Leighton, J.F.

1988-02-05T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Distributed Generation  

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

with another option to reduce peak load, relieve transmission congestion, and improve power reliability. Backup generation is widely deployed across the United States. Carnegie...

242

Clean Energy Technologies: A Preliminary Inventory of the Potential for Electricity Generation  

E-Print Network (OSTI)

2000. Distributed Power Generation, Marcel Dekker. pp.180-This greatly influences power generation costs and reducesand Ogden, 2000) total power generation is estimated at 5.3

Bailey, Owen; Worrell, Ernst

2005-01-01T23:59:59.000Z

243

1 The Price Elasticity of Supply of Renewable Electricity Generation  

E-Print Network (OSTI)

Many states have adopted policies aimed at promoting the growth of renewable electricity within their state. The most salient of these policies is a renewable portfolio standard (RPS) which mandates that retail electricity providers purchase a predetermined fraction of their electricity from renewable sources. Renewable portfolio standards are a policy tool likely to persist for many decades due to the long term goals of many state RPSs and the likely creation of a federal RPS alongside any comprehensive climate change bill. However, there is little empirical evidence about the costs of these RPS policies. I take an instrumental variables approach to estimate the long-run price elasticity of supply of renewable generation. To instrument for the price paid to renewable generators I use the phased-in implementation of RPSs over time. Using this IV strategy, my preferred estimate of the supply elasticity is 2.7. This parameter allows me to measure the costs of carbon abatement in the electricity sector and to compare those costs with the costs of a broader based policy. Using my parameter estimates, I find that a policy to reduce the CO2 emissions in the northeastern US electricity sector by 2.5 % using only an RPS would cost at least six times more than the regional cap-and-trade system (Regional Greenhouse Gas Initiative). The marginal cost of CO2 abatement is $12 using the most optimistic assumptions for an RPS compared to a marginal cost of abatement of $2 in the Regional Greenhouse Gas Initiative.

Erik Johnson; Erik Johnson

2010-01-01T23:59:59.000Z

244

Initial Waves from Deformable Submarine Landslides: A Study on the Separation Time and Parameter Relationships  

E-Print Network (OSTI)

Earthquake and submarine mass failure are the most frequent causes of tsunami waves. While the process of the tsunami generation by earthquakes is reasonably well understood, the generation of tsunami waves during submarine mass failure is not. Estimates of the energy released during a tsunamigenic earthquake and respective tsunami wave draw a clear picture of the efficiency of the tsunami-generating process. However for submarine landslides, this is not as straightforward because the generation process has never been recorded in nature making energy inferences very difficult. Hence the efficiency of submarine landslide as tsunami generators is yet to be conclusively determined. As the result of this uncertainty, different equations, derived from experimental data or theory, result in leading-wave amplitude that vary over 6 orders of magnitude for the same initial slide conditions. To arrive at more robust estimates of the leading-wave characteristics and associated runup, the spatiotemporal dynamics of the coupling between the slide body and water column needs to be investigated. The duration the water surface deformation is coupled with the slide motion is an essential question to shed light on the energy transfer. A parametric study is conducted with the state of-the-art hydrocode iSALE in order to shed light on this complex geophysical event. The mass, viscosity, and depth of submergence are the particular slide parameters varied and their relationship to runup and decoupling time is analyzed.

O'Shay, Justin

2012-05-01T23:59:59.000Z

245

MCNP LWR Core Generator  

Science Conference Proceedings (OSTI)

The reactor core input generator allows for MCNP input files to be tailored to design specifications and generated in seconds. Full reactor models can now easily be created by specifying a small set of parameters and generating an MCNP input for a full reactor core. Axial zoning of the core will allow for density variation in the fuel and moderator, with pin-by-pin fidelity, so that BWR cores can more accurately be modeled. LWR core work in progress: (1) Reflectivity option for specifying 1/4, 1/2, or full core simulation; (2) Axial zoning for moderator densities that vary with height; (3) Generating multiple types of assemblies for different fuel enrichments; and (4) Parameters for specifying BWR box walls. Fuel pin work in progress: (1) Radial and azimuthal zoning for generating further unique materials in fuel rods; (2) Options for specifying different types of fuel for MOX or multiple burn assemblies; (3) Additional options for replacing fuel rods with burnable poison rods; and (4) Control rod/blade modeling.

Fischer, Noah A. [Los Alamos National Laboratory

2012-08-14T23:59:59.000Z

246

Estimates of Characteristic Times for Precipitation Scavenging  

Science Conference Proceedings (OSTI)

We address the problem of using climatological data to estimate residence times in the atmosphere of particles subjected to precipitation scavenging. Basic parameters are the scavenging coefficient ?, the rainfall intensity R and the length of ...

Henning Rodhe; Jan Grandell

1981-02-01T23:59:59.000Z

247

Tornado Damage Estimation Using Polarimetric Radar  

Science Conference Proceedings (OSTI)

This study investigates the use of tornadic debris signature (TDS) parameters to estimate tornado damage severity using Norman, Oklahoma (KOUN), polarimetric radar data (polarimetric version of the Weather Surveillance Radar-1988 Doppler radar). ...

David J. Bodine; Matthew R. Kumjian; Robert D. Palmer; Pamela L. Heinselman; Alexander V. Ryzhkov

2013-02-01T23:59:59.000Z

248

Estimating eps'/eps . A user's manual  

E-Print Network (OSTI)

I review the current theoretical estimates of the CP-violating parameter eps'/eps, compare them to the experimental result and suggest a few guidelines in using the theoretical results.

Marco Fabbrichesi

1999-09-02T23:59:59.000Z

249

Photon Source Parameters  

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

Photon Source Parameters Photon Source Parameters Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

250

$?$ condensation and physical parameters  

E-Print Network (OSTI)

Recently we showed how a non-local Nambu-Jona-Lasinio model comes out from QCD in the low-energy limit. In this way, it is possible to fix all the free parameters of the model with physical ones. We use this approach to derive a local limit to the Nambu-Jona-Lasinio model with the parameters those obtained from QCD in order to fix the physical parameters of $\\rho$ condensation. $\\rho$ condensation is a consequence of the highly non-trivial behavior of the QCD vacuum in presence a very strong magnetic field giving rising to superconductive behavior in quark matter. Determination of the proper parameters for this state can be an important helpful guide to identify it experimentally.

Marco Frasca

2013-09-16T23:59:59.000Z

251

Parameters of Ceramicrete Binders  

Table 1. Parameters of Ceramicrete Binder . Property Range of values Remarks . Density of binders 1.7-2.0 g/cc May be enhanced or reduced by selecting ...

252

Reassessment of safeguards parameters  

Science Conference Proceedings (OSTI)

The International Atomic Energy Agency is reassessing the timeliness and goal quantity parameters that are used in defining safeguards approaches. This study reviews technology developments since the parameters were established in the 1970s and concludes that there is no reason to relax goal quantity or conversion time for reactor-grade plutonium relative to weapons-grade plutonium. For low-enriched uranium, especially in countries with advanced enrichment capability there may be an incentive to shorten the detection time.

Hakkila, E.A.; Richter, J.L.; Mullen, M.F.

1994-07-01T23:59:59.000Z

253

Adjusting Internal Model Errors through Ocean State Estimation  

Science Conference Proceedings (OSTI)

Oceanic state estimation is a powerful tool to estimate internal model parameters simultaneously with the model’s initial conditions and surface forcing field that jointly would bring a model into consistency with time-varying large-scale ocean ...

Detlef Stammer

2005-06-01T23:59:59.000Z

254

A simple estimator for the distribution of random coefficients  

E-Print Network (OSTI)

We propose a simple mixtures estimator for recovering the joint distribution of parameter heterogeneity in economic models, such as the random coefficients logit. The estimator is based on linear regression subject to ...

Ryan, Stephen

255

On the Estimation of Climatological Z–R Relationships  

Science Conference Proceedings (OSTI)

A statistical framework for climatological Z–R parameter estimation is developed and simulation experiments are conducted to examine sampling properties of the estimators. Both parametric and nonparametric models are considered. For parametric ...

Witold F. Krajewski; James A. Smith

1991-10-01T23:59:59.000Z

256

Estimating Plume Dispersion-A Comparison of Several Sigma Schemes  

Science Conference Proceedings (OSTI)

The lateral and vertical Gaussian plume dispersion parameters are estimated and compared with fieldtracer data collected at II sites. The dispersion parameter schemes used in this analysis include Cramer'sscheme, suggested for tall stack ...

John S. Irwin

1983-01-01T23:59:59.000Z

257

A COMPUTATIONAL PROCEDURE TO ESTIMATE THE FUNDAMENTAL  

E-Print Network (OSTI)

of the grounding systems is to dissipate a current injection* * at an electrical substation produced A COMPUTATIONAL PROCEDURE TO ESTIMATE THE FUNDAMENTAL PARAMETERS IN GROUNDING. Abstract The grounding grid design must be made in such a way that the funda- mental parameters do

Bendito, Enrique

258

Estimating Ammonia Emissions from Stationary Power Plants  

Science Conference Proceedings (OSTI)

This report provides a methodology that can be used to estimate ammonia releases from fossil fuel-fired, electrical power generation facilities for the purpose of reporting under the U.S. Environmental Protection Agencys Toxic Release Inventory (TRI) program.

2009-04-15T23:59:59.000Z

259

Variability of Raindrop Size Distributions in a Squall Line and Implications for Radar Rainfall Estimation  

Science Conference Proceedings (OSTI)

The intrastorm variability of raindrop size distributions as a source of uncertainty in single-parameter and dual-parameter radar rainfall estimates is studied using time series analyses of disdrometer observations. Two rain-rate (R) estimators ...

Remko Uijlenhoet; Matthias Steiner; James A. Smith

2003-02-01T23:59:59.000Z

260

Photon Source Parameters  

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

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

Note: This page contains sample records for the topic "generator parameter estimation" 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

Photon Source Parameters  

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

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

262

Photon Source Parameters  

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

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

263

Photon Source Parameters  

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

Photon Source Parameters Print Photon Source Parameters Print Summary Graph of Brightness Curves for All Insertion Devices Insertion Device and Bend Magnet Parameters Bend Magnet Superbend Magnet U30 Undulator U50 Undulator U80 Undulator U100 Undulator W114 Wiggler The ALS has six elliptically polarizing undulators, two in straight 4, two in straight 11, and one each in straights 6 and 7. All are arranged with chicanes so that two such devices can be installed to feed two independent beamlines. They can be used in a variety of polarization modes, including circular, elliptical, horizontal, and vertical. These modes can be chosen by appropriate phasing of the magnet rows. The brightness and flux curves below are shown for horizontal and circular polarization. Curves for elliptical and vertical polarization are similar to the horizontal polarization curve, but the minimum photon energy is higher.

264

Steam Generator Management Program: Flaw Handbook Calculator  

Science Conference Proceedings (OSTI)

The EPRI Steam Generator Management Program: Steam Generator Degradation Specific Flaw Handbook v1.0 defines burst pressure equations for steam generator tubes with various degradation morphologies, and the EPRI Steam Generator Management Program: Steam Generator Integrity Assessment Guidelines (1019038) describes a probabilistic evaluation process which can be used to account for key input parameter uncertainties. The Flaw Handbook Calculator software is an automated Microsoft Excelspreadsheet which cal...

2010-04-20T23:59:59.000Z

265

Influence of Ground Clutter Contamination on Polarimetric Radar Parameters  

Science Conference Proceedings (OSTI)

The influence of ground clutter contamination on the estimation of polarimetric radar parameters, horizontal reflectivity (Zh), differential reflectivity (Zdr), correlation coefficient (?h?), and differential propagation phase (dp) was examined. ...

Katja Friedrich; Urs Germann; Pierre Tabary

2009-02-01T23:59:59.000Z

266

Brief paper: Suboptimal control of linear stochastic multivariable systems with unknown parameters  

Science Conference Proceedings (OSTI)

An algorithm is proposed for suboptimal control of linear multivariable systems with unknown parameters and output noise covariances. This algorithm is based on the idea of explicitly separating the functions of identification, estimation and control. ... Keywords: Kalman filters, Multivariable control systems, canonical forms, controllability, discrete time systems, observability, parameter estimation, state estimation, state space methods, stochastic control

H. El-Sherief; N. K. Sinha

1982-01-01T23:59:59.000Z

267

Life Cycle Greenhouse Gas Emissions of Coal-Fired Electricity Generation: Systematic Review and Harmonization  

Science Conference Proceedings (OSTI)

This systematic review and harmonization of life cycle assessments (LCAs) of utility-scale coal-fired electricity generation systems focuses on reducing variability and clarifying central tendencies in estimates of life cycle greenhouse gas (GHG) emissions. Screening 270 references for quality LCA methods, transparency, and completeness yielded 53 that reported 164 estimates of life cycle GHG emissions. These estimates for subcritical pulverized, integrated gasification combined cycle, fluidized bed, and supercritical pulverized coal combustion technologies vary from 675 to 1,689 grams CO{sub 2}-equivalent per kilowatt-hour (g CO{sub 2}-eq/kWh) (interquartile range [IQR]= 890-1,130 g CO{sub 2}-eq/kWh; median = 1,001) leading to confusion over reasonable estimates of life cycle GHG emissions from coal-fired electricity generation. By adjusting published estimates to common gross system boundaries and consistent values for key operational input parameters (most importantly, combustion carbon dioxide emission factor [CEF]), the meta-analytical process called harmonization clarifies the existing literature in ways useful for decision makers and analysts by significantly reducing the variability of estimates ({approx}53% in IQR magnitude) while maintaining a nearly constant central tendency ({approx}2.2% in median). Life cycle GHG emissions of a specific power plant depend on many factors and can differ from the generic estimates generated by the harmonization approach, but the tightness of distribution of harmonized estimates across several key coal combustion technologies implies, for some purposes, first-order estimates of life cycle GHG emissions could be based on knowledge of the technology type, coal mine emissions, thermal efficiency, and CEF alone without requiring full LCAs. Areas where new research is necessary to ensure accuracy are also discussed.

Whitaker, M.; Heath, G. A.; O'Donoughue, P.; Vorum, M.

2012-04-01T23:59:59.000Z

268

Hydrogen Production Cost Estimate Using Biomass Gasification  

E-Print Network (OSTI)

) & assume steam generation efficiency Subtract estimated electricity use for printing (when no pulp & paper energy use data available) Calculate the ratio of estimated energy use & BAT-based best case 256 #12 distortions, regulation and plant systems optimisation Future technologies focus on black liquor gasification

269

A SINGLE-PARAMETER ADAPTIVE COMB FILTER  

E-Print Network (OSTI)

The study is concerned with a single-parameter adaptive comb filter (ACF), a multi-notch filter with periodically located nulls. The filter is suggested to retrieve a waveform modeled by superposition of harmonics, in particular, periodic non-sinusoidal signal. Using trigonometric constraints between the signal fundamental frequency and over tones results in a non-linear estimation problem. In the present study, the parameter adjustment relies on the extended Kalman filter scheme. Particularly, the 2, 3 and 4 notch ACF are derived and tested under different conditions. Given a multi-tone scenario, the ACF significantly outperforms common adaptive multi-notch filter.

Single-Parameter Adaptive Comb; Naum G. Chernoguz

2001-01-01T23:59:59.000Z

270

GENERATING CAPACITY  

E-Print Network (OSTI)

Evidence from the U.S. and some other countries indicates that organized wholesale markets for electrical energy and operating reserves do not provide adequate incentives to stimulate the proper quantity or mix of generating capacity consistent with mandatory reliability criteria. A large part of the problem can be associated with the failure of wholesale spot market prices for energy and operating reserves to rise to high enough levels during periods when generating capacity is fully utilized. Reforms to wholesale energy markets, the introduction of well-design forward capacity markets, and symmetrical treatment of demand response and generating capacity resources to respond to market and institutional imperfections are discussed. This policy reform program is compatible with improving the efficiency of spot wholesale electricity markets, the continued evolution of competitive retail markets, and restores incentives for efficient investment in generating capacity consistent with operating reliability criteria applied by system operators. It also responds to investment disincentives that have been associated with volatility in wholesale energy prices, limited hedging opportunities and to concerns about regulatory opportunism. 1

Paul L. Joskow; Paul L. Joskow; Paul L. Joskow

2006-01-01T23:59:59.000Z

271

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

Science Conference Proceedings (OSTI)

The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.

Tidball, R.; Bluestein, J.; Rodriguez, N.; Knoke, S.

2010-11-01T23:59:59.000Z

272

Laser Polarization Effects in Supercontinuum Generation  

E-Print Network (OSTI)

We present experimental evidence of a fourth order process in electric field in supercontinuum generation. We also show laser induced polarization preference in the supercontinuum generating media. These results have become possible through the choice of isotropic and anisotropic samples interacting with ultrashort laser pulses of changing ellipticity. Laser polarization emerges as an important control parameter for the highly nonlinear phenomenon of supercontinuum generation.

Alok Srivastava; Debabrata Goswami

2004-02-22T23:59:59.000Z

273

BNL | ATF Beamline Parameters  

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

Beamline Parameters Beamline Parameters Electron beam energy: 25 to 76 MeV Temporal structure: Macropulse length: 3 microseconds Macropulse repetition rate from under 1 PPS to 3 PPS. Micropulse repetition period 12.25 ns or 24.5 ns. Micropulse length variable from about 1 ps FWHM to 10 ps FWHM. Electron beam charge: continuously variable. Single micropulse charge from zero to a few nanoculombs. Bunch train charge up to about 10 nanoculombs. Emittance: depends on various conditions, e.g. peak current, gun field, microbunch length etc. At 1 nC we have measured the emittance at 2.6 mm mrad (rms normalized) at a bunch length of 10 ps FWHM. The local emittance (Slice Emittance) is smaller, measured 1.4 mm mrad for a slice out of the 1 nC bunch. Stability: (approx.) 1 ps in short term phase, 1% of beam diameter

274

Microwave-generated plasma thruster  

DOE Green Energy (OSTI)

A concept for high power density and efficiency plasma thruster based on electron cyclotron resonance heating (ECRH) is described. Initial estimates are made of the parameters, leading to a conceptual design. An effort for detail physics design and proof-of-principal tests is also proposed. 20 refs., 2 figs., 1 tab.

Hooper, E.B.

1991-05-11T23:59:59.000Z

275

Magnetocumulative generator  

DOE Patents (OSTI)

An improved magnetocumulative generator is described that is useful for producing magnetic fields of very high energy content over large spatial volumes. The polar directed pleated magnetocumulative generator has a housing providing a housing chamber with an electrically conducting surface. The chamber forms a coaxial system having a small radius portion and a large radius portion. When a magnetic field is injected into the chamber, from an external source, most of the magnetic flux associated therewith positions itself in the small radius portion. The propagation of an explosive detonation through high-explosive layers disposed adjacent to the housing causes a phased closure of the chamber which sweeps most of the magnetic flux into the large radius portion of the coaxial system. The energy content of the magnetic field is greatly increased by flux stretching as well as by flux compression. The energy enhanced magnetic field is utilized within the housing chamber itself.

Pettibone, J.S.; Wheeler, P.C.

1981-06-08T23:59:59.000Z

276

PLASMA GENERATOR  

DOE Patents (OSTI)

This patent describes apparatus for producing an electricity neutral ionized gas discharge, termed a plasma, substantially free from contamination with neutral gas particles. The plasma generator of the present invention comprises a plasma chamber wherein gas introduced into the chamber is ionized by a radiofrequency source. A magnetic field is used to focus the plasma in line with an exit. This magnetic field cooperates with a differential pressure created across the exit to draw a uniform and uncontaminated plasma from the plasma chamber.

Foster, J.S. Jr.

1958-03-11T23:59:59.000Z

277

Thermoelectric generator  

DOE Patents (OSTI)

A thermoelectric generator having a rigid coupling or stack'' between the heat source and the hot strap joining the thermoelements is described. The stack includes a member of an insulating material, such as ceramic, for electrically isolating the thermoelements from the heat source, and a pair of members of a ductile material, such as gold, one each on each side of the insulating member, to absorb thermal differential expansion stresses in the stack. (Official Gazette)

Pryslak, N.E.

1974-02-26T23:59:59.000Z

278

Photon generator  

DOE Patents (OSTI)

A photon generator includes an electron gun for emitting an electron beam, a laser for emitting a laser beam, and an interaction ring wherein the laser beam repetitively collides with the electron beam for emitting a high energy photon beam therefrom in the exemplary form of x-rays. The interaction ring is a closed loop, sized and configured for circulating the electron beam with a period substantially equal to the period of the laser beam pulses for effecting repetitive collisions.

Srinivasan-Rao, Triveni (Shoreham, NY)

2002-01-01T23:59:59.000Z

279

Cluster generator  

DOE Patents (OSTI)

Described herein is an apparatus and a method for producing atom clusters based on a gas discharge within a hollow cathode. The hollow cathode includes one or more walls. The one or more walls define a sputtering chamber within the hollow cathode and include a material to be sputtered. A hollow anode is positioned at an end of the sputtering chamber, and atom clusters are formed when a gas discharge is generated between the hollow anode and the hollow cathode.

Donchev, Todor I. (Urbana, IL); Petrov, Ivan G. (Champaign, IL)

2011-05-31T23:59:59.000Z

280

ATLAS parameter study  

DOE Green Energy (OSTI)

The purpose of this study is to make an independent assessment on the parameters chosen for the ATLAS capacitor bank at LANL. The contractor will perform a study of the basic pulsed power parameters of the ATLAS device with baseline functional parameters of >25 MA implosion current and <2.5 microsecond current risetime. Nominal circuit parameters held fixed will be the 14 nH from the vacuum interface to the load, and the nominal load impedances of 1 milliohm for slow loads and 10 milliohms for fast loads. Single Ended designs, as opposed to bipolar designs, will be studied in detail. The ATLAS pulsed power design problem is about inductance. The reason that a 36 MJ bank is required is that such a bank has enough individual capacitors so that the parallel inductance is acceptably low. Since about half the inductance is in the bank, and the inductance and time constant of the submodules is fixed, the variation of output with a given parameter will generally be a weak one. In general, the dl/dt calculation demonstrates that for the real system inductances, 700 kV is the optimum voltage for the bank to drive X-ray loads. The optimum is broad, and there is little reduction in performance at voltages as low as 450 kV. The direct drive velocity analysis also shows that the optimum velocity is between 480 and 800 kV for a variety of assumptions, and that there is less than a 10% variation in velocity over this range. Voltages in the 120 kV--600 kV range are desirable for driving heavy liners. A compromise optimum operating point might be 480 kV, at which all X-ray operation scenarios are within 10% of their velocity optimum, and heavy liners can be configured to be near optimum if small enough. Based on very preliminary studies the author believes that the choice of a single operating voltage point (say, 480 kV) is unnecessary, and that a bank engineered for dual operation at 480 and 240 kV will be the best solution to the ATLAS problem.

Adler, R.J. [North Star Research Corp., Albuquerque, NM (United States)

1994-09-03T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Wind field estimation for autonomous dynamic soaring Jack W. Langelaan  

E-Print Network (OSTI)

Wind field estimation for autonomous dynamic soaring Jack W. Langelaan Aerospace Engineering, Penn for distributed parameter estimation of a previously unknown wind field is described. The application is dynamic parameterization of the wind field is used, allowing implementation of a linear Kalman filter for parameter

Spletzer, John R.

282

Estimated Global Hydrographic Variability  

Science Conference Proceedings (OSTI)

An estimate is made of the three-dimensional global oceanic temperature and salinity variability, omitting the seasonal cycle, both as a major descriptive element of the ocean circulation and for use in the error estimates of state estimation. ...

Gaël Forget; Carl Wunsch

2007-08-01T23:59:59.000Z

283

Internal Dose Estimates from  

E-Print Network (OSTI)

Appendix F Internal Dose Estimates from NTS Fallout F-1 #12;Radiation Dose to the Population...........................................................................................40 Comparison to dose estimates from global fallout

284

Building Energy Software Tools Directory: Energy Estimation Software with  

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

Energy Estimation Software with Carbon Footprint Calculation Energy Estimation Software with Carbon Footprint Calculation Energy Estimation Software with Carbon Footprint Calculation logo. Energy Estimation Software for Fan and Pumping Applications estimates energy savings achieved when using a variable frequency drive instead of conventional control methods for fan and pumping applications. The results can be viewed in graphical format and text format and the software has built-in functions to generate an energy estimation report especially designed for consultants. The energy estimator software is available in two editions: Single System Edition This edition allows users to estimate energy savings for a single fan or pump system and generate a multi-page report based on the estimated savings. Project Edition This edition allows users to estimate energy savings of a single fan or

285

Determination of the arrhenius parameters for Si{sub 2}H{sub 6} {l_reversible} SiH{sub 4} + SiH{sub 2} and {Delta}H{degrees} {sub f}(SiH{sub 2}) by RRKM analysis of forward and reverse reaction rate data  

SciTech Connect

RRKM theory is used to generate good estimates of the high-pressure Arrhenius parameters for the thermal decomposition of disilane. The heat of formation of SiH{sub 2} is determined by this process to be 64.4 +- 1.0 kcal/mol.

Moffat, H.K.; Jensen, K.F.; Carr, R.W. [Univ. of Minnesota, Minneapolis, MN (United States)

1992-09-17T23:59:59.000Z

286

Constraints on cosmological parameters  

E-Print Network (OSTI)

A cosmological model with total density close to critical (and flat geometry), dominated by dark matter and dark energy of unknown nature, and consistent with the basic predictions of the inflationary scenario is a very good fit to a variety of cosmological probes: the anisotropy of the CMB, the large scale distribution of matter, the luminosity distance of high-redshift type Ia supernovae and so on. These high-quality data have established a new standard of precision in the determination of cosmological parameters. CMB and Physics of the Early universe

Amedeo Balbi; Amedeo Balbi

2006-01-01T23:59:59.000Z

287

A dimensionless parameter model for arc welding processes  

SciTech Connect

A dimensionless parameter model previously developed for C0{sub 2} laser beam welding has been shown to be applicable to GTAW and PAW autogenous arc welding processes. The model facilitates estimates of weld size, power, and speed based on knowledge of the material`s thermal properties. The dimensionless parameters can also be used to estimate the melting efficiency, which eases development of weld schedules with lower heat input to the weldment. The mathematical relationship between the dimensionless parameters in the model has been shown to be dependent on the heat flow geometry in the weldment.

Fuerschbach, P.W.

1994-12-31T23:59:59.000Z

288

Retrieval of Vertical Profiles of Cirrus Cloud Microphysical Parameters from Doppler Radar and Infrared Radiometer Measurements  

Science Conference Proceedings (OSTI)

This paper describes a new method to retrieve vertical profiles of the parameters of cirrus cloud microphysics that are important for the estimation of climatic feedback. These parameters are the particle characteristic size and ice mass content. ...

S. Y. Matrosov; B. W. Orr; R. A. Kropfli; J. B. Snider

1994-05-01T23:59:59.000Z

289

HEAT GENERATION  

DOE Patents (OSTI)

Heat is generated by the utilization of high energy neutrons produced as by nuclear reactions between hydrogen isotopes in a blanket zone containing lithium, a neutron moderator, and uranium and/or thorium effective to achieve multtplicatton of the high energy neutron. The rnultiplied and moderated neutrons produced react further with lithium-6 to produce tritium in the blanket. Thermal neutron fissionable materials are also produced and consumed in situ in the blanket zone. The heat produced by the aggregate of the various nuclear reactions is then withdrawn from the blanket zone to be used or otherwise disposed externally. (AEC)

Imhoff, D.H.; Harker, W.H.

1963-12-01T23:59:59.000Z

290

Improved diagnostic model for estimating wind energy  

DOE Green Energy (OSTI)

Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

Endlich, R.M.; Lee, J.D.

1983-03-01T23:59:59.000Z

291

How EIA Estimates Natural Gas Production  

Reports and Publications (EIA)

The Energy Information Administration (EIA) publishes estimates monthly and annually of the production of natural gas in the United States. The estimates are based on data EIA collects from gas producing States and data collected by the U. S. Minerals Management Service (MMS) in the Department of Interior. The States and MMS collect this information from producers of natural gas for various reasons, most often for revenue purposes. Because the information is not sufficiently complete or timely for inclusion in EIA's Natural Gas Monthly (NGM), EIA has developed estimation methodologies to generate monthly production estimates that are described in this document.

Information Center

2004-02-01T23:59:59.000Z

292

Magnetocumulative generator  

DOE Patents (OSTI)

An improved magnetocumulative generator is described that is useful for producing magnetic fields of very high energy content over large spatial volumes. The polar directed pleated magnetocumulative generator has a housing (100, 101, 102, 103, 104, 105) providing a housing chamber (106) with an electrically conducting surface. The chamber (106) forms a coaxial system having a small radius portion and a large radius portion. When a magnetic field is injected into the chamber (106), from an external source, most of the magnetic flux associated therewith positions itself in the small radius portion. The propagation of an explosive detonation through high-explosive layers (107, 108) disposed adjacent to the housing causes a phased closure of the chamber (106) which sweeps most of the magnetic flux into the large radius portion of the coaxial system. The energy content of the magnetic field is greatly increased by flux stretching as well as by flux compression. The energy enhanced magnetic field is utilized within the housing chamber itself.

Pettibone, Joseph S. (Livermore, CA); Wheeler, Paul C. (Livermore, CA)

1983-01-01T23:59:59.000Z

293

Maximum power tracking control scheme for wind generator systems  

E-Print Network (OSTI)

The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor speed measurements as control variable inputs. The dependence on the accuracy of the measurement devices makes the controller less reliable. The proposed control scheme is based on the stiff system concept and provides a fast response and a dynamic solution to the complicated aerodynamic system. This control scheme provides a response to the wind changes without the knowledge of wind speed and turbine parameters. The system consists of a permanent magnet synchronous machine (PMSM), a passive rectifier, a dc/dc boost converter, a current controlled voltage source inverter, and a microcontroller that commands the dc/dc converter to control the generator for maximum power extraction. The microcontroller will also be able to control the current output of the three-phase inverter. In this work, the aerodynamic characteristics of wind turbines and the power conversion system topology are explained. The maximum power tracking control algorithm with a variable step estimator is introduced and the modeling and simulation of the wind turbine generator system using the MATLAB/SIMULINK® software is presented and its results show, at least in principle, that the maximum power tracking algorithm developed is suitable for wind turbine generation systems.

Mena Lopez, Hugo Eduardo

2007-12-01T23:59:59.000Z

294

Estimating stress heterogeneity from aftershock rate  

E-Print Network (OSTI)

We estimate the rate of aftershocks triggered by a heterogeneous stress change, using the rate-and-state model of Dieterich [1994]. We show than an exponential stress distribution P(\\tau)~ exp(-\\tau/\\tau_0) gives an Omori law decay of aftershocks with time ~1/t^p, with an exponent p=1-A\\sigma_n/\\tau_0, where A is a parameter of the rate-and-state friction law, and \\sigma_n the normal stress. Omori exponent p thus decreases if the stress "heterogeneity" \\tau_0 decreases. We also invert the stress distribution P(\\tau) from the seismicity rate R(t), assuming that the stress does not change with time. We apply this method to a synthetic stress map, using the (modified) scale invariant "k^2" slip model [Herrero and Bernard, 1994]. We generate synthetic aftershock catalogs from this stress change. The seismicity rate on the rupture area shows a huge increase at short times, even if the stress decreases on average. This stochastic slip model gives a Gaussian stress distribution, but nevertheless produces an aftersho...

Helmstetter, A; Helmstetter, Agnes; Shaw, Bruce E.

2005-01-01T23:59:59.000Z

295

Dairy methane generator. Final report  

Science Conference Proceedings (OSTI)

Details of the work completed under this contract are presented. During the winter of 1979-80 three students enrolled, in the Mechanical Design Engineering Technology program at the Pennsylvania State University's Capitol Campus (Middletown, PA), undertook a feasibility study for the utilization of the manure generated by the dairy cows located on Mr. Thomas B. Williams farm for the generation and use of methane gas. The results of their effort was the design of an Anaerobic Digester/Electric Generation System. This preliminary designed system was later changed and improved by another group of P.S.U. MDET students in the spring of 1980. The final design included working drawings and an economic analysis of the estimated investment necessary to complete the Methane Generator/Electric Power Generation System.

Williams, T.B.

1981-09-30T23:59:59.000Z

296

Software Cost Estimation  

E-Print Network (OSTI)

Software cost estimation is the process of predicting the effort required to develop a software system. Many estimation models have been proposed over the last 30 years. This paper provides a general overview of software cost estimation methods including the recent advances in the field. As a number of these models rely on a software size estimate as input, we first provide an overview of common size metrics. We then highlight the cost estimation models that have been proposed and used successfully. Models may be classified into 2 major categories: algorithmic and non-algorithmic. Each has its own strengths and weaknesses. A key factor in selecting a cost estimation model is the accuracy of its estimates. Unfortunately, despite the large body of experience with estimation models, the accuracy of these models is not satisfactory. The paper includes comment on the performance of the estimation models and description of several newer approaches to cost estimation.

Hareton Leung Zhang; Zhang Fan

2002-01-01T23:59:59.000Z

297

Hupmobile cloud chamber parameters  

SciTech Connect

The accompanying table lists the presently selected parameters for the twelve cloud chambers. The chambers are numbered consecutively from 4 through 15 as they are lined up in the bunker. The lowest number is closest to the source. All except the first chamber have some thin metal filters to attenuate the flux and harden the spectrum. Cloud chambers 10, 12, and 14 are shielded by a collimator with about 200 pinholes in it. The flux in these chambers is attenuated by the ratio of the pinhole area to total beam area which is a factor of 50. Various gases and gas pressures are used to obtain suitable track lengths and interaction cross sections. Neon, argon, and krypton are used to obtain photo electrons. Hydrogen is used to obtain Compton electrons.

Hansen, N. E.

1967-09-28T23:59:59.000Z

298

Biogass Generator  

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

Another internet tool by: Another internet tool by: Build Your Own Page 1 of 5 Teach...build...learn...renewable energy! Biogas Generator A Renewable Energy Project Kit The Pembina Institute What Is Biogas? Biogas is actually a mixture of gases, usually carbon dioxide and methane. It is produced by a few kinds of microorganisms, usually when air or oxygen is absent. (The absence of oxygen is called "anaerobic conditions.") Animals that eat a lot of plant material, particularly grazing animals such as cattle, produce large amounts of biogas. The biogas is produced not by the cow or elephant, but by billions of microor- ganisms living in its digestive system. Biogas also develops in bogs and at the bottom of lakes, where decaying organic matter builds up under wet and

299

Generating "dependent" quasi-random numbers  

Science Conference Proceedings (OSTI)

Under certain conditions on the integrand, quasi-Monte Carlo methods for estimating integrals (expectations) converge faster asymptotically than Monte Carlo methods. Motivated by this result we consider the generation of quasi-random vectors with given ...

Shane G. Henderson; Belinda A. Chiera; Roger M. Cooke

2000-12-01T23:59:59.000Z

300

STRUCTURAL PARAMETERS OF GALAXIES IN CANDELS  

Science Conference Proceedings (OSTI)

We present global structural parameter measurements of 109,533 unique, H{sub F160W}-selected objects from the CANDELS multi-cycle treasury program. Sersic model fits for these objects are produced with GALFIT in all available near-infrared filters (H{sub F160W}, J{sub F125W} and, for a subset, Y{sub F105W}). The parameters of the best-fitting Sersic models (total magnitude, half-light radius, Sersic index, axis ratio, and position angle) are made public, along with newly constructed point-spread functions for each field and filter. Random uncertainties in the measured parameters are estimated for each individual object based on a comparison between multiple, independent measurements of the same set of objects. To quantify systematic uncertainties, we create a mosaic with simulated galaxy images with a realistic distribution of input parameters and then process and analyze the mosaic in an identical manner as the real data. We find that accurate and precise measurements-to 10% or better-of all structural parameters can typically be obtained for galaxies with H{sub F160W} < 23, with comparable fidelity for basic size and shape measurements for galaxies to H{sub F160W} {approx} 24.5.

Van der Wel, A.; Chang, Yu-Yen; Rix, H.-W. [Max-Planck Institut fuer Astronomie, Koenigstuhl 17, D-69117 Heidelberg (Germany); Bell, E. F. [Department of Astronomy, University of Michigan, 500 Church Street, Ann Arbor, MI 48109 (United States); Haeussler, B.; Hartley, W. [Schools of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD (United Kingdom); McGrath, E. J.; Cheung, E.; Faber, S. M.; Kocevski, D. D.; Mozena, M. [UCO/Lick Observatory, Department of Astronomy and Astrophysics, University of California, Santa Cruz, CA 95064 (United States); Guo Yicheng [Astronomy Department, University of Massachusetts, 710 North Pleasant Street, Amherst, MA 01003 (United States); McIntosh, D. H. [Department of Physics and Astronomy, University of Missouri-Kansas City, 5110 Rockhill Road, Kansas City, MO 64110 (United States); Barden, M. [Institute of Astro- and Particle Physics, University of Innsbruck, Technikerstrasse 25, A-6020 Innsbruck (Austria); Ferguson, H. C.; Grogin, N. A.; Koekemoer, A. M.; Lotz, J. [Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218 (United States); Galametz, A. [INAF-Osservatorio di Roma, Via Frascati 33, I-00040 Monteporzio (Italy); Kartaltepe, J. S., E-mail: vdwel@mpia.de [National Optical Astronomy Observatory, 950 North Cherry Avenue, Tucson, AZ 85719 (United States); and others

2012-12-15T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

A particle swarm algorithm with broad applicability in shape-constrained estimation  

Science Conference Proceedings (OSTI)

In nonparametric function estimation, the inclusion of shape constraints can confer several advantages, including improved estimation accuracy, reduced sensitivity to smoothing parameters, and control over the qualitative appearance of the estimate. ... Keywords: Density estimation, Heuristic optimization, Kernel methods, Nonparametric estimation, Regression

Mark A. Wolters

2012-10-01T23:59:59.000Z

302

Measurement calibration/tuning & topology processing in power system state estimation  

E-Print Network (OSTI)

State estimation plays an important role in modern power systems. The errors in the telemetered measurements and the connectivity information of the network will greatly contaminate the estimated system state. This dissertation provides solutions to suppress the influences of these errors. A two-stage state estimation algorithm has been utilized in topology error identification in the past decade. Chapter II discusses the implementation of this algorithm. A concise substation model is defined for this purpose. A friendly user interface that incorporates the two-stage algorithm into the conventional state estimator is developed. The performances of the two-stage state estimation algorithms rely on accurate determination of suspect substations. A comprehensive identification procedure is described in chapter III. In order to evaluate the proposed procedure, a topology error library is created. Several identification methods are comparatively tested using this library. A remote measurement calibration method is presented in chapter IV. The un-calibrated quantities can be related to the true values by the characteristic functions. The conventional state estimation algorithm is modified to include the parameters of these functions. Hence they can be estimated along with the system state variables and used to calibrate the measurements. The measurements taken at different time instants are utilized to minimize the influence of the random errors. A method for auto tuning of measurement weights in state estimation is described in chapter V. Two alternative ways to estimate the measurement random error variances are discussed. They are both tested on simulation data generated based on IEEE systems. Their performances are compared. A comprehensive solution, which contains an initialization process and a recursively updating process, is presented. Chapter VI investigates the errors introduced in the positive sequence state estimation due to the usual assumptions of having fully balanced bus loads/generations and continuously transposed transmission lines. Several tests are conducted using different assumptions regarding the availability of single and multi-phase measurements. It is demonstrated that incomplete metering of three-phase system quantities may lead to significant errors in the positive sequence state estimates for certain cases. A novel sequence domain three-phase state estimation algorithm is proposed to solve this problem.

Zhong, Shan

2003-12-01T23:59:59.000Z

303

Bayesian estimation in homodyne interferometry  

E-Print Network (OSTI)

We address phase-shift estimation by means of squeezed vacuum probe and homodyne detection. We analyze Bayesian estimator, which is known to asymptotically saturate the classical Cramer-Rao bound to the variance, and discuss convergence looking at the a posteriori distribution as the number of measurements increases. We also suggest two feasible adaptive methods, acting on the squeezing parameter and/or the homodyne local oscillator phase, which allow to optimize homodyne detection and approach the ultimate bound to precision imposed by the quantum Cramer-Rao theorem. The performances of our two-step methods are investigated by means of Monte Carlo simulated experiments with a small number of homodyne data, thus giving a quantitative meaning to the notion of asymptotic optimality.

Stefano Olivares; Matteo G. A. Paris

2009-01-16T23:59:59.000Z

304

Distributed Generation Renewable Energy Estimate of Costs and...  

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

Agarwal, P. and L. Manuel, The influence of the joint wind-wave environment on offshore wind turbine support structure loads. Journal of Solar Energy Engineering, Transactions of...

305

How much of world energy consumption and electricity generation is ...  

U.S. Energy Information Administration (EIA)

How much of world energy consumption and electricity generation is from renewable energy? EIA estimates that about 10% of world marketed energy consumption is from ...

306

Preliminary relative permeability estimates of methanehydrate-bearing sand  

Science Conference Proceedings (OSTI)

The relative permeability to fluids in hydrate-bearing sediments is an important parameter for predicting natural gas production from gas hydrate reservoirs. We estimated the relative permeability parameters (van Genuchten alpha and m) in a hydrate-bearing sand by means of inverse modeling, which involved matching water saturation predictions with observations from a controlled waterflood experiment. We used x-ray computed tomography (CT) scanning to determine both the porosity and the hydrate and aqueous phase saturation distributions in the samples. X-ray CT images showed that hydrate and aqueous phase saturations are non-uniform, and that water flow focuses in regions of lower hydrate saturation. The relative permeability parameters were estimated at two locations in each sample. Differences between the estimated parameter sets at the two locations were attributed to heterogeneity in the hydrate saturation. Better estimates of the relative permeability parameters require further refinement of the experimental design, and better description of heterogeneity in the numerical inversions.

Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.

2006-05-08T23:59:59.000Z

307

Gravity Wave Generation by a Three-Dimensional Thermal Forcing  

Science Conference Proceedings (OSTI)

Thermal forcing is one of the mechanisms of wave generation in convection. Although it does not account for all the wave generation mechanisms, thermal forcing is a good proxy for estimating the gravity wave spectrum forced by convection. This ...

Jadwiga H. Beres

2004-07-01T23:59:59.000Z

308

Heat engine generator control system  

SciTech Connect

An electrical power generation system includes a heat engine having an output member operatively coupled to the rotor of a dynamoelectric machine. System output power is controlled by varying an electrical parameter of the dynamoelectric machine. A power request signal is related to an engine speed and the electrical parameter is varied in accordance with a speed control loop. Initially, the sense of change in the electrical parameter in response to a change in the power request signal is opposite that required to effectuate a steady state output power consistent with the power request signal. Thereafter, the electrical parameter is varied to converge the output member speed to the speed known to be associated with the desired electrical output power.

Rajashekara, Kaushik (Carmel, IN); Gorti, Bhanuprasad Venkata (Towson, MD); McMullen, Steven Robert (Anderson, IN); Raibert, Robert Joseph (Fishers, IN)

1998-01-01T23:59:59.000Z

309

Heat engine generator control system  

DOE Patents (OSTI)

An electrical power generation system includes a heat engine having an output member operatively coupled to the rotor of a dynamoelectric machine. System output power is controlled by varying an electrical parameter of the dynamoelectric machine. A power request signal is related to an engine speed and the electrical parameter is varied in accordance with a speed control loop. Initially, the sense of change in the electrical parameter in response to a change in the power request signal is opposite that required to effectuate a steady state output power consistent with the power request signal. Thereafter, the electrical parameter is varied to converge the output member speed to the speed known to be associated with the desired electrical output power. 8 figs.

Rajashekara, K.; Gorti, B.V.; McMullen, S.R.; Raibert, R.J.

1998-05-12T23:59:59.000Z

310

Nucleic Acid Standards - Refinement Parameters  

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

Refinement Parameters Refinement Parameters The DNA/RNA topology and parameter files for X-PLOR are shown below. These were tested with DNA structures and with protein-DNA complexes. X-PLOR topology file X-PLOR parameter files: X-PLOR parameter file For the refinement of high resolution structures (< 1.7 Angstroms) the parameter file with distinct bond distances and bond angles for both C2'-endo and C3'-endo conformations should be considered: X-PLOR parameter file for high resolution structures "New Parameters for the Refinement of Nucleic Acid Containing Structures." Gary Parkinson, Jaroslav Vojtechovsky, Lester Clowney, Axel Brunger*, and Helen M. Berman. (1996) Acta Cryst. D 52, 57-64 Rutgers University, Department of Chemistry, Piscataway, NJ 08855-0939; *The Howard Hughes Medical Institute and Departments of Molecular and

311

Statistics of Sxy Estimates  

Science Conference Proceedings (OSTI)

The statistics of Sxy estimates derived from orthogonal-component measurements are examined. Based on results of Goodman, the probability density function (pdf) for Sxy(f) estimates is derived, and a closed-form solution for arbitrary moments of ...

M. H. Freilich; S. S. Pawka

1987-10-01T23:59:59.000Z

312

Guidelines for Estimating Unmetered Industrial Water Use  

SciTech Connect

The document provides a methodology to estimate unmetered industrial water use for evaporative cooling systems, steam generating boiler systems, batch process applications, and wash systems. For each category standard mathematical relationships are summarized and provided in a single resource to assist Federal agencies in developing an initial estimate of their industrial water use. The approach incorporates industry norms, general rules of thumb, and industry survey information to provide methodologies for each section.

Boyd, Brian K.

2010-08-01T23:59:59.000Z

313

Cost Estimation Recommendations  

Science Conference Proceedings (OSTI)

...D.P. Hoult and C.L. Meador, Manufacturing Cost Estimating, Materials Selection and Design, Vol 20, ASM Handbook,

314

Minimizing electricity costs with an auxiliary generator using stochastic programming  

E-Print Network (OSTI)

This thesis addresses the problem of minimizing a facility's electricity costs by generating optimal responses using an auxiliary generator as the parameter of the control systems. The-goal of the thesis is to find an ...

Rafiuly, Paul, 1976-

2000-01-01T23:59:59.000Z

315

Subsurface Geotechnical Parameters Report  

Science Conference Proceedings (OSTI)

The Yucca Mountain Project is entering a the license application (LA) stage in its mission to develop the nation's first underground nuclear waste repository. After a number of years of gathering data related to site characterization, including activities ranging from laboratory and site investigations, to numerical modeling of processes associated with conditions to be encountered in the future repository, the Project is realigning its activities towards the License Application preparation. At the current stage, the major efforts are directed at translating the results of scientific investigations into sets of data needed to support the design, and to fulfill the licensing requirements and the repository design activities. This document addresses the program need to address specific technical questions so that an assessment can be made about the suitability and adequacy of data to license and construct a repository at the Yucca Mountain Site. In July 2002, the U.S. Nuclear Regulatory Commission (NRC) published an Integrated Issue Resolution Status Report (NRC 2002). Included in this report were the Repository Design and Thermal-Mechanical Effects (RDTME) Key Technical Issues (KTI). Geotechnical agreements were formulated to resolve a number of KTI subissues, in particular, RDTME KTIs 3.04, 3.05, 3.07, and 3.19 relate to the physical, thermal and mechanical properties of the host rock (NRC 2002, pp. 2.1.1-28, 2.1.7-10 to 2.1.7-21, A-17, A-18, and A-20). The purpose of the Subsurface Geotechnical Parameters Report is to present an accounting of current geotechnical information that will help resolve KTI subissues and some other project needs. The report analyzes and summarizes available qualified geotechnical data. It evaluates the sufficiency and quality of existing data to support engineering design and performance assessment. In addition, the corroborative data obtained from tests performed by a number of research organizations is presented to reinforce conclusions derived from the pool of data gathered within a full QA-controlled domain. An evaluation of the completeness of the current data is provided with respect to the requirements for geotechnical data to support design and performance assessment.

D. Rigby; M. Mrugala; G. Shideler; T. Davidsavor; J. Leem; D. Buesch; Y. Sun; D. Potyondy; M. Christianson

2003-12-17T23:59:59.000Z

316

Heat Recovery Steam Generator Cycle Chemistry Instrumentation  

Science Conference Proceedings (OSTI)

Effective monitoring of the purity of water and steam is an integral part of any productive cycle chemistry monitoring program. The Electric Power Research Institute's (EPRI's) heat recovery steam generator (HRSG) cycle chemistry guidelines identified a group of core monitoring parameters that are considered the minimum requirements. Meeting these requirements is part of EPRI's cycle chemistry benchmarking criteria for HRSGs. In addition to the core parameters, many chemistry parameters might need to be ...

2010-11-19T23:59:59.000Z

317

Quality Assurance Project Plan for the Gas Generation Testing Program at the INEL  

SciTech Connect

The data quality objectives (DQOs) for the Program are to evaluate compliance with the limits on total gas generation rates, establish the concentrations of hydrogen and methane in the total gas flow, determine the headspace concentration of VOCs in each drum prior to the start of the test, and obtain estimates of the concentrations of several compounds for mass balance purposes. Criteria for the selection of waste containers at the INEL and the parameters that must be characterized prior to and during the tests are described. Collection of gaseous samples from 55-gallon drums of contact-handled transuranic waste for the gas generation testing is discussed. Analytical methods and calibrations are summarized. Administrative quality control measures described in this QAPjP include the generation, review, and approval of project documentation; control and retention of records; measures to ensure that personnel, subcontractors or vendors, and equipment meet the specifications necessary to achieve the required data quality for the project.

NONE

1994-10-01T23:59:59.000Z

318

Bayesian parameter inference from continuously monitored quantum systems  

E-Print Network (OSTI)

We review the introduction of likelihood functions and Fisher information in classical estimation theory, and we show how they can be defined in a very similar manner within quantum measurement theory. We show that the stochastic master equations describing the dynamics of a quantum system subject to a definite set of measurements provides likelihood functions for unknown parameters in the system dynamics, and we show that the estimation error, given by the Fisher information, can be identified by stochastic master equation simulations. For large parameter spaces we describe and illustrate the efficient use of Markov Chain Monte Carlo sampling of the likelihood function.

Søren Gammelmark; Klaus Mølmer

2012-12-22T23:59:59.000Z

319

Multi-parameter bidding method: development of parameters  

E-Print Network (OSTI)

This thesis presents the results of an investigation of multi-parameter bidding for application in the highway construction industry. The major objective of this research is to further develop the multi-parameter bidding method as currently practiced by State Highway Agencies (SHA). The goal is to make this type of bidding more effective in terms of cost, schedule, quality, safety, and other project objectives. The major tasks involved in @s investigation were: 1) determining state-of-the-art through literature review; 2) surveying the highway construction industry for current practices; 3) synthesizing literature and survey results to propose new parameters and innovative use of currently used parameters; 4) evaluating these parameters; and 5) proposing an outline for an integrated approach to multi-parameter bidding. The parameters were evaluated in terms of a number of major criteria: 1) compatibility to low-bid system; 2) impact on SHA resources; 3) impact on product quality; 4) nature, magnitude, and allocation of risks, and 5) administrative and legal elements. The integrated approach to multi-parameter bidding explores the relationship between various other processes and the process for selecting multi-parameter bidding strategy within the project develop ment framework. Preliminary implementation guidelines are provided as part of this integrated approach.

Rahman, Suhel Parvez

1998-01-01T23:59:59.000Z

320

Distributed Generation and Resilience in Power Grids  

E-Print Network (OSTI)

We study the effects of the allocation of distributed generation on the resilience of power grids. We find that an unconstrained allocation and growth of the distributed generation can drive a power grid beyond its design parameters. In order to overcome such a problem, we propose a topological algorithm derived from the field of Complex Networks to allocate distributed generation sources in an existing power grid.

Scala, Antonio; Chessa, Alessandro; Caldarelli, Guido; Damiano, Alfonso

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

electricity generating capacity | OpenEI  

Open Energy Info (EERE)

generating capacity generating capacity Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity generating capacity datasets: annual operational electricity generation capacity by plant type (1975 - 2009); estimated generating capacity by fuel type for North Island, South Island and New Zealand (2009); and information on generating plants (plant type, name, owner, commissioned date, and capacity), as of December 2009. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago) Keywords biomass coal Electric Capacity electricity generating capacity geothermal Hydro Natural Gas wind Data application/vnd.ms-excel icon Operational Electricity Generation Capacity by Plant Type (xls, 42.5 KiB)

322

A procedure for oscillatory parameter identification  

SciTech Connect

A procedure is proposed where a power system is excited with a low-level pseduo-random probing signal and the frequency, damping, magnitude, and shape of oscillatory modes are identified using spectral density estimation and frequency-domain transfer-function identification. Attention is focussed on identifying system modes in the presence of noise. Two examples cases are studied: identification of electromechanical oscillation modes in a 16-machine power system; and turbine-generator shaft modes of a 3-machine power plant feeding a series-compensated 500-kV network.

Trudnowski, D.J.; Donnelly, M.K. [Pacific Northwest Lab., Richland, WA (United States); Hauer, J.F. [Bonneville Power Administration, Portland, OR (United States)

1994-02-01T23:59:59.000Z

323

A procedure of oscillatory parameter identification  

Science Conference Proceedings (OSTI)

A procedure is proposed where a power system is excited with a low-level pseudorandom probing signal and the frequency, damping, magnitude, and shape of oscillatory modes are identified using spectral density estimation and frequency-domain transfer-function identification. Attention is focused on identifying system modes in the presence of noise. Two example cases are studied: identification of electromechanical oscillation modes in a 16-machine power system; and turbine-generator shaft modes of a 3-machine power plant feeding a series-compensated 500-kV network.

Trudnowski, D.J.; Donnelly, M.K. (Pacific Northwest Lab., Richland, WA (United States)); Hauer, J.F. (Bonneville Power Administration, Portland, OR (United States))

1994-11-01T23:59:59.000Z

324

Microcomputer-controlled two-pulse generator  

SciTech Connect

The two-pulse generator generates trains of pulses whose parameters are specified by an Elektronika D3-28 microcomputer. The pulse durations are 1-128 usec, the intervals are 1-2048 usec, and the repetition periods are from 4 msec to 16 sec. In conjunction with an automated system, the generator allows automatic measurement of spin-spin and spin-lattice relaxation times in nuclear quadrupole resonance, setting of optimum pulse-train parameters (90-180 degrees), etc.

Boguslavskii, A.A.; Ermilov, V.V.; Pechenov, V.V.; Semin, G.K.; Shapiro, G.Y.

1986-07-01T23:59:59.000Z

325

Effects of breach formation parameter uncertainty on inundation risk area and consequence analysis  

SciTech Connect

According to the national inventory of dams (NID), there are approximately 79,500 dams in the United States, with 11,800 of these dams being classified as high-hazard. It has been recommended that each high-hazard dam in the United States have an emergency action plan (EAP), but it has been found that only about 60% of the high-hazard dams have a complete EAP. A major aspect of these plans is inundation risk area identification and associated impacts in the event of dam failure. In order to determine the inundation risk area an estimation of breach discharge must be completed. Most methods used to determine breach discharge, including the NWS-DAMBRK model, require modelers to select size, shape, and time of breach formation. Federal agencies (e.g. Bureau of Reclamation, Federal Energy Regulatory Commission) with oversight of U.S. dams have recommended ranges of values for each of these parameters based on dam type. However, variations in these parameters even within the recommended range have the potential to impose significant transformation on the discharge hydrograph relative to both timing and magnitude of the peak discharge. Therefore, it has also been recommended that sensitivity of these parameters be investigated when performing breach inundation analyses. This paper presents a sensitivity analysis of three breach parameters (average breach width, side slope, and time to failure) on a case study dam located in the United States. The sensitivity analysis employed was based on the 3{sup 3} factorial design, in which three levels (e.g. low, medium, and high) were selected for each of the three parameters, resulting in twenty-seven combinations. The three levels remained within the recommended range of values for each parameter type. With each combination of input parameters, a discharge hydrograph was generated and used as a source condition for inundation analysis using a two-dimensional shallow water equation model. The resulting simulations were compared to determine the sensitivity of flood inundation area, flood arrival time, peak flood depths, and socio-economic impacts (e.g. population at risk, direct and indirect economic loss) to changes in individual parameters and parameter interactions. Results and discussion from this sensitivity analysis will be presented in detail in the paper.

Skousen, Benjamin Don [Los Alamos National Laboratory; David, Judi [Los Alamos National Laboratory; Mc Pherson, Timothy [Los Alamos National Laboratory; Burian, Steve [UNIV OF UTAH

2010-01-01T23:59:59.000Z

326

Sequential State and Variance Estimation within the Ensemble Kalman Filter  

Science Conference Proceedings (OSTI)

Kalman filter methods for real-time assimilation of observations and dynamical systems typically assume knowledge of the system parameters. However, relatively little work has been done on extending state estimation procedures to include ...

Jonathan R. Stroud; Thomas Bengtsson

2007-09-01T23:59:59.000Z

327

Estimating Winter Design Temperatures from Daily Minimum Temperatures  

Science Conference Proceedings (OSTI)

A methodology has been developed to estimate winter design temperatures (temperatures exceeded a specific number of hours during the December through February winter season-an important design parameter in building construction) from synthetic ...

Nolan J. Doesken; Thomas B. McKee

1983-10-01T23:59:59.000Z

328

A NOTE ON MINIMUM DISTANCE ESTIMATION OF COPULA DENSITIES  

E-Print Network (OSTI)

#12; 2 properties such as skewness, fat tails, asymmetric dependence, and positive tail dependence the boundaries of [0, 1] p [cf. Hu (1998), or Chen and Fan (2001)], what renders parameter estimation di

Biau, Gérard

329

Review of Weibull Statistics for Estimation of Wind Speed Distributions  

Science Conference Proceedings (OSTI)

A statistical distribution commonly used for describing measured wind speed data is the Weibull distribution. A review of the methods found in the statistical literature for the purpose of estimation of the parameters in Weibull distributions is ...

K. Conradsen; L. B. Nielsen; L. P. Prahm

1984-08-01T23:59:59.000Z

330

Automatic Estimation of Cloud Amount Using Computer Vision  

Science Conference Proceedings (OSTI)

A study was carried out to establish the feasibility of using computer vision to estimate cloud amount. Various techniques were investigated and optimum diagnostic parameters derived. These were then applied to a number of images representing a ...

Gordon B. Davis; David J. Griggs; Geoffrey D. Sullivan

1992-02-01T23:59:59.000Z

331

Fractals in Estimation of Evolution of Complex Systems  

Science Conference Proceedings (OSTI)

A possibility of using the fractal geometry to study the development of complex systems was substantiated. Obtained were a model relating the backbone parameters in the form of power-series distribution, criteria for estimation of the development instability, ...

I. K. Kokhanenko

2002-08-01T23:59:59.000Z

332

Derived Annual Estimates  

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

For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1988-1998 Total Energy *** Electricity ***...

333

Derived Annual Estimates  

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

For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1974-1988 Total Energy *** Electricity ***...

334

Estimating Corn Grain Yields  

E-Print Network (OSTI)

This publication explains how to estimate the grain yield of a corn crop before harvest. An interactive grain yield calculator is included. 6 pages, 3 tables, 1 figure.

Blumenthal, Jurg M.; Thompson, Wayne

2009-06-12T23:59:59.000Z

335

Multiobjectivization for classifier parameter tuning  

Science Conference Proceedings (OSTI)

We present a multiobjectivization approach to the parameter tuning of RBF networks and multilayer perceptrons. The approach works by adding two new objectives -- maximization of kappa statistic and minimization of root mean square error -- to the originally ... Keywords: classification, evolutionary algorithm, machine learning, multiobjective optimization, multiobjectivization, parameter tuning

Martin Pilat; Roman Neruda

2013-07-01T23:59:59.000Z

336

annual generation | OpenEI  

Open Energy Info (EERE)

generation generation Dataset Summary Description Estimates for each of the 50 states and the entire United States show Source Wind Powering America Date Released February 04th, 2010 (4 years ago) Date Updated April 13th, 2011 (3 years ago) Keywords annual generation installed capacity usa wind Data application/vnd.ms-excel icon Wind potential data (xls, 102.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Other or unspecified, see optional comment below Comment Work of the U.S. Federal Government. Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

337

Novel estimation methods for unsupervised discovery of latent structure in natural language text  

Science Conference Proceedings (OSTI)

This thesis is about estimating probabilistic models to uncover useful hidden structure in data; specifically, we address the problem of discovering syntactic structure in natural language text. We present three new parameter estimation techniques that ...

Noah Ashton Smith / Jason Eisner

2007-01-01T23:59:59.000Z

338

Performance of Mean-Frequency Estimators for Doppler Radar and Lidar  

Science Conference Proceedings (OSTI)

The performance of mean-frequency estimators for Doppler radar and lidar measurements of winds is presented in terms of two basic parameters: ?, the ratio of the average signal energy per estimate to the spectral noise level; and ?, which is ...

R. G. Frehlich; M. J. Yadlowsky

1994-10-01T23:59:59.000Z

339

Refractivity estimation from radar clutter by sequential importance sampling with a Markov model for microwave propagation  

Science Conference Proceedings (OSTI)

This paper addresses the problem of estimating range-varying parameters of the height-dependent index of refraction over the sea surface in order to predict ducted microwave propagation loss. Refractivity estimation is performed using a Markov model ...

S. Vasudevan; J. L. Krolik

2001-05-01T23:59:59.000Z

340

Application of the evidence procedure to the estimation of wireless channels  

Science Conference Proceedings (OSTI)

We address the application of the Bayesian evidence procedure to the estimation of wireless channels. The proposed scheme is based on relevance vector machines (RVM) originally proposed by M. Tipping. RVMs allow to estimate channel parameters as well ...

Dmitriy Shutin; Gernot Kubin; Bernard H. Fleury

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Evaluation of Methods to Estimate the Surface Downwelling Longwave Flux during Arctic Winter  

Science Conference Proceedings (OSTI)

Surface longwave radiation fluxes dominate the energy budget of nighttime polar regions, yet little is known about the relative accuracy of existing satellite-based techniques to estimate this parameter. We compare eight methods to estimate the ...

Marc Chiacchio; Jennifer Francis; Paul Stackhouse Jr.

2002-03-01T23:59:59.000Z

342

Cooling load estimation methods  

DOE Green Energy (OSTI)

Ongoing research on quantifying the cooling loads in residential buildings, particularly buildings with passive solar heating systems, is described. Correlations are described that permit auxiliary cooling estimates from monthly average insolation and weather data. The objective of the research is to develop a simple analysis method, useful early in design, to estimate the annual cooling energy required of a given building.

McFarland, R.D.

1984-01-01T23:59:59.000Z

343

Estimating frequency of change  

Science Conference Proceedings (OSTI)

Many online data sources are updated autonomously and independently. In this article, we make the case for estimating the change frequency of data to improve Web crawlers, Web caches and to help data mining. We first identify various scenarios, where ... Keywords: Change frequency estimation, Poisson process

Junghoo Cho; Hector Garcia-Molina

2003-08-01T23:59:59.000Z

344

$?- e$ Conversion With Four Generations  

E-Print Network (OSTI)

We study $\\mu - e$ conversion with sequential four generations. A large mass for the fourth generation neutrino can enhance the conversion rate by orders of magnitude. We compare constraints obtained from $\\mu - e$ conversion using experimental bounds on various nuclei with those from $\\mu \\to e \\gamma$ and $\\mu \\to e\\bar e e$. We find that the current bound from $\\mu - e$ conversion with Au puts the most stringent constraint in this model. The relevant flavor changing parameter $\\lambda_{\\mu e} = V^*_{\\mu 4}V_{e4}^{}$ is constrained to be less than $1.6\\times 10^{-5}$ for the fourth generation neutrino mass larger than 100 GeV. Implications for future $\\mu -e$ conversion, $\\mu \\to e\\gamma$ and $\\mu \\to e\\bar e e$ experiments are discussed.

N. G. Deshpande; T. Enkhbat; T. Fukuyama; X. -G. He; L. -H. Tsai; K. Tsumura

2011-06-25T23:59:59.000Z

345

View-invariant Estimation of Height and Stride for Gait Recognition  

Science Conference Proceedings (OSTI)

We present a parametric method to automatically identify people in monocular low-resolution video by estimating the height and stride parameters of their walking gait. Stride parameters (stride length and cadence) are functions of body height, weight, ...

Chiraz BenAbdelkader; Ross Cutler; Larry S. Davis

2002-06-01T23:59:59.000Z

346

Joint inversion of AVA data for elastic parameters by bootstrapping  

Science Conference Proceedings (OSTI)

A joint inversion method is developed to estimate the elastic constants of two elastic, homogeneous, isotropic media separated by a flat horizontal boundary. The method jointly uses P and S-converted wave reflection amplitude-versus-angle (AVA) data ... Keywords: AVA, Bootstrapping, Elastic parameters, Joint inversion, Zoeppritz equations

Hülya Kurt

2007-03-01T23:59:59.000Z

347

Unsaturated hydraulic parameters determined from direct and indirect methods  

SciTech Connect

Hydraulic parameters are required for numerical simulations of unsaturated flow at Yucca Mountain, a vertically heterogeneous volcanic site for a potential high-level waste repository in the desert southwest. In this paper, direct measurements of the unsaturated hydraulic conductivity using a centrifuge with a specialized rotor are compared to those estimated using a predictive conductivity equation and two methods of measuring moisture retention.

Flint, Lorraine E.; Hudson, David B.; Flint, Alan L.

1997-10-22T23:59:59.000Z

348

Computer-intensive rate estimation, diverging statistics and scanning  

E-Print Network (OSTI)

A general rate estimation method is proposed that is based on studying the in-sample evolution of appropriately chosen diverging/converging statistics. The proposed rate estimators are based on simple least squares arguments, and are shown to be accurate in a very general setting without requiring the choice of a tuning parameter. The notion of scanning is introduced with the purpose of extracting useful subsamples of the data series; the proposed rate estimation method is applied to different scans, and the resulting estimators are then combined to improve accuracy. Applications to heavy tail index estimation as well as to the problem of estimating the long memory parameter are discussed; a small simulation study complements our theoretical results.

McElroy, Tucker

2007-01-01T23:59:59.000Z

349

Parameters  

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

difference between a loop in a structural template and its aligned (loop) region in the query sequence. The open gap penalty is 10.8 and each elongation penalty is 0.6 by default....

350

Maximum likelihood estimation of Gaussian mixture models using stochastic search  

Science Conference Proceedings (OSTI)

Gaussian mixture models (GMM), commonly used in pattern recognition and machine learning, provide a flexible probabilistic model for the data. The conventional expectation-maximization (EM) algorithm for the maximum likelihood estimation of the parameters ... Keywords: Covariance parametrization, Expectation-maximization, Gaussian mixture models, Identifiability, Maximum likelihood estimation, Particle swarm optimization, Stochastic search

Ça?lar Ar?; Selim Aksoy; Orhan Ar?kan

2012-07-01T23:59:59.000Z

351

Estimating Internal Wave Energy Fluxes in the Ocean  

Science Conference Proceedings (OSTI)

Energy flux is a fundamental quantity for understanding internal wave generation, propagation, and dissipation. In this paper, the estimation of internal wave energy fluxes u?p? from ocean observations that may be sparse in either time or depth ...

Jonathan D. Nash; Matthew H. Alford; Eric Kunze

2005-10-01T23:59:59.000Z

352

Natural circulation steam generator model for optimal steam generator water level control  

SciTech Connect

Several authors have cited the control of steam generator water level as an important problem in the operation of pressurized water reactor plants. In this paper problems associated with steam generator water level control are identified, and advantages of modern estimation and control theory in dealing with these problems are discussed. A new state variable steam generator model and preliminary verification results using data from the loss of fluid test (LOFT) plant are also presented.

Feeley, J.J.

1979-06-01T23:59:59.000Z

353

Estimation of N*0 for the Two-Scale Gamma Raindrop Size Distribution Model and Its Statistical Properties at Several Locations in Asia  

Science Conference Proceedings (OSTI)

An automatic estimation method is developed to detect stepwise changes in the amplitude parameter of the normalized raindrop size distribution (DSD) N*0. To estimate N*0, it is also assumed that the variation of three DSD parameters follows the ...

Toshiaki Kozu; Kazuhiro Masuzawa; Toyoshi Shimomai; Nobuhisa Kashiwagi

2010-04-01T23:59:59.000Z

354

Next Generation Radioisotope Generators | Department of Energy  

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

» Next Generation Radioisotope Generators » Next Generation Radioisotope Generators Next Generation Radioisotope Generators Advanced Stirling Radioisotope Generator (ASRG) - The ASRG is currently being developed as a high-efficiency RPS technology to support future space missions on the Martian surface or in the vacuum of space. This system uses Stirling convertors, which have moving parts to mechanically convert heat to electricity. This power conversion system, if successfully deployed, will reduce the weight of each RPS and the amount of Pu-238 needed per mission. A HISTORY OF MISSION SUCCESSES For over fifty years, the Department of Energy has enabled space exploration on 27 missions by providing safe reliable radioistope power systems and radioisotope heater units for NASA, Navy and Air Force.

355

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

Estimates of state energy-related carbon dioxide emissions Estimates of state energy-related carbon dioxide emissions Because energy-related carbon dioxide (CO 2 ) constitutes over 80 percent of total emissions, the state energy-related CO 2 emission levels provide a good indicator of the relative contribution of individual states to total greenhouse gas emissions. The U.S. Energy Information Administration (EIA) emissions estimates at the state level for energy-related CO 2 are based on data contained in the State Energy Data System (SEDS). 1 The state-level emissions estimates are based on energy consumption data for the following fuel categories: three categories of coal (residential/commercial, industrial, and electric power sector); natural gas; and ten petroleum products including-- asphalt and road oil, aviation gasoline, distillate fuel, jet fuel, kerosene, liquefied petroleum gases

356

Faster Phase Estimation  

E-Print Network (OSTI)

We develop several algorithms for performing quantum phase estimation based on basic measurements and classical post-processing. We present a pedagogical review of quantum phase estimation and simulate the algorithm to numerically determine its scaling in circuit depth and width. We show that the use of purely random measurements requires a number of measurements that is optimal up to constant factors, albeit at the cost of exponential classical post-processing; the method can also be used to improve classical signal processing. We then develop a quantum algorithm for phase estimation that yields an asymptotic improvement in runtime, coming within a factor of log* of the minimum number of measurements required while still requiring only minimal classical post-processing. The corresponding quantum circuit requires asymptotically lower depth and width (number of qubits) than quantum phase estimation.

Krysta M. Svore; Matthew B. Hastings; Michael Freedman

2013-04-02T23:59:59.000Z

357

A framework for estimating NBTI degradation of microarchitectural components  

Science Conference Proceedings (OSTI)

Degradation of device parameters over the lifetime of a system is emerging as a significant threat to system reliability. Among the aging mechanisms, wearout resulting from NBTI is of particular concern in deep submicron technology generations. To facilitate ...

Michael DeBole; K. Ramakrishnan; Varsha Balakrishnan; Wenping Wang; Hong Luo; Yu Wang; Yuan Xie; Yu Cao; N. Vijaykrishnan

2009-01-01T23:59:59.000Z

358

A New Generation of Labels for a New Generation of Cars | Department of  

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

A New Generation of Labels for a New Generation of Cars A New Generation of Labels for a New Generation of Cars A New Generation of Labels for a New Generation of Cars May 25, 2011 - 5:42pm Addthis A New Generation of Labels for a New Generation of Cars John Schueler John Schueler Former New Media Specialist, Office of Public Affairs What does this mean for me? An improved car buying experience Clear cut cost comparisons of vehicles If you've ever gone through the process of shopping for a new car, you know just how difficult it can be to cut through the hype and find the best vehicle for you. For decades, consumers have been turning to fuel economy labels to get gas mileage estimates for city and highway driving, to narrow their choices and make an informed purchase. Today, there are more vehicle choices than ever and consumers want to know

359

A New Generation of Labels for a New Generation of Cars | Department of  

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

New Generation of Labels for a New Generation of Cars New Generation of Labels for a New Generation of Cars A New Generation of Labels for a New Generation of Cars May 25, 2011 - 5:42pm Addthis A New Generation of Labels for a New Generation of Cars John Schueler John Schueler Former New Media Specialist, Office of Public Affairs What does this mean for me? An improved car buying experience Clear cut cost comparisons of vehicles If you've ever gone through the process of shopping for a new car, you know just how difficult it can be to cut through the hype and find the best vehicle for you. For decades, consumers have been turning to fuel economy labels to get gas mileage estimates for city and highway driving, to narrow their choices and make an informed purchase. Today, there are more vehicle choices than ever and consumers want to know

360

Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads  

SciTech Connect

This paper describes a simple method to estimate hourly cooling demand from historical utility load data. It compares total hourly demand to demand on cool days and compares these estimates of total cooling demand to previous regional and national estimates. Load profiles generated from this method may be used to estimate the potential for aggregated demand response or load shifting via cold storage.

Denholm, P.; Ong, S.; Booten, C.

2012-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

2007 Estimated International Energy Flows  

Science Conference Proceedings (OSTI)

An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.

Smith, C A; Belles, R D; Simon, A J

2011-03-10T23:59:59.000Z

362

Impact of ECCO Ocean-State Estimates on the Initialization of Seasonal Climate Forecasts  

Science Conference Proceedings (OSTI)

The impact of ocean-state estimates generated by the consortium for Estimating the Circulation and Climate of the Ocean (ECCO) on the initialization of a coupled general circulation model (CGCM) for seasonal climate forecasts is examined. The ...

Gabriel Cazes-Boezio; Dimitris Menemenlis; Carlos R. Mechoso

2008-05-01T23:59:59.000Z

363

Hydrologic Evaluation of Rainfall Estimates from Radar, Satellite, Gauge, and Combinations on Ft. Cobb Basin, Oklahoma  

Science Conference Proceedings (OSTI)

This study evaluates rainfall estimates from the Next Generation Weather Radar (NEXRAD), operational rain gauges, Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA), and Precipitation Estimation from Remotely ...

Jonathan J. Gourley; Yang Hong; Zachary L. Flamig; Jiahu Wang; Humberto Vergara; Emmanouil N. Anagnostou

2011-10-01T23:59:59.000Z

364

Estimating Gas Concentration of Coal Mines Based on ISGNN  

Science Conference Proceedings (OSTI)

Online detecting failure of gas sensors in mine wells is an important problem. A key step for solution of the problem is estimating sample values of detected gas sensor, according to sample values of other gas sensors. We propose a scheme based on ISGNN ... Keywords: Estimating gas concentration, Gas concentration modeling, Generating Neural Networks, ISGNN

Aiguo Li; Lina Song

2009-11-01T23:59:59.000Z

365

Hydrogen Generation by Electrolysis  

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

Better Engineered Solutions. Better Engineered Solutions. What Listening Generates. Better Engineered Solutions. What Listening Generates. Hydrogen Generation by Electrolysis September 2004 Steve Cohen Hydrogen Generation by Electrolysis September 2004 Steve Cohen NREL H 2 Electrolysis - Utility Integration Workshop NREL H 2 Electrolysis - Utility Integration Workshop 2 Hydrogen Generation by Electrolysis Hydrogen Generation by Electrolysis  Intro to Teledyne Energy Systems  H 2 Generator Basics & Major Subsystems  H 2 Generating & Storage System Overview  Electrolysis System Efficiency & Economics  Focus for Attaining DOE H 2 Production Cost Goals 3 Teledyne Energy Systems Locations - ISO 9001 Teledyne Energy Systems Locations - ISO 9001 Hunt Valley, Maryland  State-of-the-art thermoelectric,

366

Siemens Power Generation, Inc.  

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

Presented at the 2005 Pittsburgh Coal Conference Siemens Power Generation, Inc. Page 1 of 10 Siemens Power Generation, Inc., All Rights Reserved Development of a Catalytic...

367

Industrial Waste Generation  

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

9) Page 2 of 7 Industrial Waste Generation Work with Engineered Nanomaterials Power Consumption Historical Contamination (groundwater, soil) Hazardous Waste Generation Atmospheric...

368

Estimating vehicle height using homographic projections  

DOE Patents (OSTI)

Multiple homography transformations corresponding to different heights are generated in the field of view. A group of salient points within a common estimated height range is identified in a time series of video images of a moving object. Inter-salient point distances are measured for the group of salient points under the multiple homography transformations corresponding to the different heights. Variations in the inter-salient point distances under the multiple homography transformations are compared. The height of the group of salient points is estimated to be the height corresponding to the homography transformation that minimizes the variations.

Cunningham, Mark F; Fabris, Lorenzo; Gee, Timothy F; Ghebretati, Jr., Frezghi H; Goddard, James S; Karnowski, Thomas P; Ziock, Klaus-peter

2013-07-16T23:59:59.000Z

369

Next Generation CANDU Performance Assurance  

SciTech Connect

AECL is developing a next generation CANDU design to meet market requirements for low cost, reliable energy supplies. The primary product development objective is to achieve a capital cost substantially lower than the current nuclear plant costs, such that the next generation plant will be competitive with alternative options for large-scale base-load electricity supply. However, other customer requirements, including safety, low-operating costs and reliable performance, are being addressed as equally important design requirements. The main focus of this paper is to address the development directions that will provide performance assurance. The next generation CANDU is an evolutionary extension of the proven CANDU 6 design. There are eight CANDU 6 units in operation in four countries around the world and further three units are under construction. These units provide a sound basis for projecting highly reliable performance for the next generation CANDU. In addition, the next generation CANDU program includes development and qualification activities that will address the new features and design extensions in the advanced plant. To limit product development risk and to enhance performance assurance, the next generation CANDU design features and performance parameters have been carefully reviewed during the concept development phase and have been deliberately selected so as to be well founded on the existing CANDU knowledge base. Planned research and development activities are required only to provide confirmation of the projected performance within a modest extension of the established database. Necessary qualification tests will be carried out within the time frame of the development program, to establish a proven design prior to the start of a construction project. This development support work coupled with ongoing AECL programs to support and enhance the performance and reliability of the existing CANDU plants will provide sound assurance that the next generation CANDU plants will meet customer expectations. (authors)

Wren, David J.; Allsop, P.J.; Hopwood, J.M. [Atomic Energy of Canada Ltd., Ontario (Canada)

2002-07-01T23:59:59.000Z

370

Introduction to Simplified Generation Risk Assessment Modeling  

Science Conference Proceedings (OSTI)

Life cycle management (LCM) and risk-informed asset management of nuclear power plants can benefit from improved prediction of the effect of equipment failures or degradation on plant productivity. The Generation Risk Assessment (GRA) model described in this report provides a systematic approach to estimating how equipment reliability relates to the risk of future lost generation from trips and derates and to prioritizing components and systems based on their importance to productivity.

2004-01-26T23:59:59.000Z

371

Parameter Studies for the VISTA Spacecraft Concept  

DOE Green Energy (OSTI)

The baseline design for the VISTA spacecraft concept employs a diode-pumped solid-state laser (DPSSL) driver. This type of driver is now under development at LLNL and elsewhere as an extension of the mature solid-state (glass) laser technology developed for terrestrial applications of inertial confinement fusion (ICF). A DPSSL is repratable up to at least 30 Hz, and has an efficiency soon to be experimentally verified of at least 10%. By using a detailed systems code including the essential physics of a DPSSL, we have run parameter studies for the baseline roundtrip (RT) to Mars with a 100-ton payload. We describe the results of these studies as a function of the optimized (minimum) RT flight duration. We also demonstrate why DT fuel gives the best performance, although DD, D3He, or even antimatter can be used, and why DT-ignited DD is probably the fuel most preferred. We also describe the overall power flow, showing where the fusion energy is ultimately utilized, and estimate the variation in performance to the planets dictated by variations in target gain and other parameters.

Orth, C D

2000-11-21T23:59:59.000Z

372

Meta-Analysis of Estimates of Life Cycle GHG Emissions from Electricit...  

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

Contacts Media Contacts Meta-Analysis of Estimates of Life Cycle GHG Emissions from Electricity Generation Technologies Speaker(s): Garvin Heath Date: April 11, 2011 -...

373

Mildly Context Sensitive Grammars For Estimating Maximum  

E-Print Network (OSTI)

Introduction The maximum-entropy framework provides great flexibility in specifying what features a model may take into account, making it e#ective for a wide range of natural language processing tasks. But because parameter estimation in this framework involves computations over the whole space of possible labelings, it is unwieldy for the parsing problem, where this space is very large. Researchers have tried several strategies for e#ciently training parsing models in the maximum-entropy framework. Ratnaparkhi's parser (1997) models the probabilities of actions of a pushdown automaton instead of the probabilities of entire parses, but for this reason is susceptible to the label-bias problem (La#erty et al. 2001). Abney (1997) proposes random sampling of the parse space. Johnson et al. (1999) propose using conditional estimation instead of joint estimation. This reduces the space to the possible parses of a single sentence, which is much smaller but can still be unmanageably large f

David Chiang

2003-01-01T23:59:59.000Z

374

Predicting hole enlargement from drilling parameters  

Science Conference Proceedings (OSTI)

This article points out that most problems associated with inadequate hole cleaning stem from hole enlargement. Lower annular velocities are required if no enlargement occurs. However, hole enlargement is often significant and can reduce annular velocities below the critical values. A simple approach is performed to predict well bore hole enlargement from drilling parameters. While the equipment and techniques are available to control mud weight going into the hole, the annular mud weight may become excessive. This annular mud weight is utilized to predict hole enlargement. A balance of the mass rate of cuttings generated and the mass rate of mud pumped is performed in order to predict hole enlargement. Data required for this procedure are inlet mud density, outlet mud density, average formation density, average formation porosity, bit size, mud flow rate and the rate of penetration.

Bizanti, M.S.

1987-01-01T23:59:59.000Z

375

NETL: News Release - DOE Estimates Future Freshwater Needs to Meet  

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

5, 2006 5, 2006 DOE Estimates Future Freshwater Needs to Meet Thermoelectric Power Demand New Analysis Examines Regional Differences in Freshwater Needs, Provides Baseline for Measuring Research Progress WASHINGTON, DC - In support of an emerging energy-water research program, the U.S. Department of Energy's National Energy Technology Laboratory (NETL) has updated its groundbreaking 2004 study estimating future freshwater requirements for the U.S. thermoelectric generation sector. Bringing a much-needed regional focus, the new report, Estimating Freshwater Needs to Meet Future Thermoelectric Generation Requirements, identifies a dichotomy between national and local freshwater needs and pinpoints where critical water issues could develop. MORE INFO Read the report

376

Feasibility investigation of the giromill for generation of electrical power  

DOE Green Energy (OSTI)

The cyclogiro computer program, obtained from Prof. H. C. Larsen of the United States Air Force Institute of Technology, was modified to incorporate computation of blade loads for the normal operating and gust loading conditions. The program was also changed to allow computation of the effects of smoothing the blade rock angles in the region where they experienced large oscillations due to passing through a vortex shed by the previous blade. Using this program the various effects of rotor geometric parameters were investigated. Giromill configuration design concepts were explored. A baseline concept was adopted having an upper structural triangular tower extending through the lower support tower and supported by two main rotor bearings. Twenty-one different Giromill systems covering a power range of 120, 500 and 1500 kW were then synthesized. These were structurally analyzed and sized. An automatic electronic control concept built around existing equipment and employing state of the art techniques was developed. Preliminary cost estimates for generating electrical power from the Giromill systems were completed. Cost estimating relationships of the major items of equipment were formulated. 10 references. (auth)

Brulle, R.V.

1975-11-01T23:59:59.000Z

377

Electroweak Constraints on the Fourth Generation at Two Loop Order  

E-Print Network (OSTI)

If the Higgs-like particle at 126 GeV is the standard model Higgs boson, then SM4, the simplest four generation extension of the SM, is inconsistent with the most recent LHC data. However, 4G variations (BSM4) are possible if the new particle is not the SM Higgs boson and/or if other new quanta modify its production and decay rates. Since LHC searches have pushed 4G quarks to high mass and strong coupling where perturbation theory eventually fails, we examine the leading nondecoupling EW (electroweak) corrections at two loop order to estimate the domain of validity for perturbation theory. We find that the two loop hypercharge correction, which has not been included in previous EW fits of 4G models, makes the largest quark sector contribution to the rho parameter, much larger even than the nominally leading one loop term. Because it is large and negative, it has a big effect on the EW fits. It does not invalidate perturbation theory since it only first appears at two loop order and is large because it does not vanish for equal quark doublet masses, unlike the one loop term. We estimate that perturbation theory is useful for $m_Q\\simeq 600$ GeV but begins to become marginal for $m_Q\\, \\gtap\\, 900$ GeV. The results apply directly to BSM4 models that retain the SM Higgs sector but must be re-evaluated for non-SM Higgs sectors.

Michael S. Chanowitz

2012-12-13T23:59:59.000Z

378

An Assessment of Areal Coverage of Severe Weather Parameters for Severe Weather Outbreak Diagnosis  

Science Conference Proceedings (OSTI)

The areal extent of severe weather parameters favorable for significant severe weather is evaluated as a means of identifying major severe weather outbreaks. The first areal coverage method uses kernel density estimation (KDE) to identify severe ...

Chad M. Shafer; Andrew E. Mercer; Michael B. Richman; Lance M. Leslie; Charles A. Doswell III

2012-08-01T23:59:59.000Z

379

Local Relationships between United States West Coast Precipitation and Monthly Mean Circulation Parameters  

Science Conference Proceedings (OSTI)

Monthly accumulations of area-averaged precipitation along the West Coast of the United States are related to estimates of local circulation parameters. The annual cycle as well as anomalous components of these quantities are compared. A strong ...

Daniel R. Cayan; John O. Roads

1984-06-01T23:59:59.000Z

380

Analysis of Soil Moisture from Near-Surface Parameters: A Feasibility Study  

Science Conference Proceedings (OSTI)

The main purpose of this paper is to demonstrate that it is possible to estimate soil moisture from the evolution of atmospheric parameters near the surface (temperature and relative humidity) if a realistic surface transfer model is available. ...

Jean-François Mahfouf

1991-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Diagnosing the Intercept Parameter for Exponential Raindrop Size Distribution Based on Video Disdrometer Observations: Model Development  

Science Conference Proceedings (OSTI)

The exponential distribution N(D) = N0 exp(??D) with a fixed intercept parameter N0 is most commonly used to represent raindrop size distribution (DSD) in rainfall estimation and in single-moment bulk microphysics parameterization schemes. ...

Guifu Zhang; Ming Xue; Qing Cao; Daniel Dawson

2008-11-01T23:59:59.000Z

382

Solvation Free Energy of Biomacromolecules: Parameters for a Modified Generalized Born Model Consistent with the AMBER Force Field  

E-Print Network (OSTI)

Solvation Free Energy of Biomacromolecules: Parameters for a Modified Generalized Born Model provides rapid estimates of the electrostatic free energies of solvation for diverse molecules of parameters compatible with the AMBER force field is described. The method is used to estimate free energies

Jayaram, Bhyravabotla

383

REQUESTS FOR RETIREMENT ESTIMATE  

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

REQUEST FOR RETIREMENT ANNUITY ESTIMATE REQUEST FOR RETIREMENT ANNUITY ESTIMATE Instructions: Please read and answer the following questions thoroughly to include checking all applicable boxes. Unanswered questions may delay processing. Print and Fax back your request form to 202.586.6395 or drop request to GM-169. The request will be assigned to your servicing retirement specialist. They will confirm receipt of your request. SECTION A Request Submitted _____________________ ______________________ ________________________ _____________________ Name (last, first, middle) Last four SSN Date of Birth ___________________________ _________________________ __________________________ Organization Office Telephone Number Fax Number

384

Optimum cycle parameters of coal fired closed cycle gas turbine in regenerative and combined cycle configurations  

Science Conference Proceedings (OSTI)

This paper presents the methodology developed for the estimation of thermodynamic performance and reports the optimum cycle parameters of coal fired CCGT in regenerative and combined cycle configurations using air, helium and carbon dioxide as working gases. A rigorous approach has been followed for the determination of the cycle efficiency by assuming the specific heat of working gases as a continuous function of temperature for accurate estimation of cycle parameters. 14 refs.

Rao, J.S.

1982-01-01T23:59:59.000Z

385

State energy data report 1996: Consumption estimates  

Science Conference Proceedings (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

NONE

1999-02-01T23:59:59.000Z

386

External Dose Estimates from  

E-Print Network (OSTI)

Appendix E External Dose Estimates from NTS Fallout E-1 #12;External Radiation Exposure as the dependence on fallout time of arrival. The most exposed individuals were outdoor workers; the least exposed was about a factor of 20 less than that from "global fallout" from high- yield weapons tests carried out

387

External Dose Estimates from  

E-Print Network (OSTI)

Appendix G External Dose Estimates from Global Fallout G-1 #12;External Radiation Exposure from the fallout from all of these tests was about 0.7 mSv, about equivalent to 2-3 years of external radiation exposure from natural background. In contrast to the fallout from tests at the Nevada Test site

388

EPA Revises Emissions Estimation Methodology  

U.S. Energy Information Administration (EIA)

The changes to the historical emission estimates are the result of revisions to the data and estimation ... b K.D . Smythe, RAND ... RAND Environmental Science and ...

389

GAO Cost Estimating and Assessment Guide  

E-Print Network (OSTI)

The U.S. Government Accountability Office is responsible for, among other things, assisting the Congress in its oversight of the federal government, including agencies ’ stewardship of public funds. To use public funds effectively, the government must meet the demands of today’s changing world by employing effective management practices and processes, including the measurement of government program performance. In addition, legislators, government officials, and the public want to know whether government programs are achieving their goals and what their costs are. To make those evaluations, reliable cost information is required and federal standards have been issued for the cost accounting that is needed to prepare that information. 1 We developed the Cost Guide in order to establish a consistent methodology that is based on best practices and that can be used across the federal government for developing, managing, and evaluating capital program cost estimates. For the purposes of this guide, a cost estimate is the summation of individual cost elements, using established methods and valid data, to estimate the future costs of a program, based on what is known today. 2 The management of a cost estimate involves continually updating the estimate with actual data as they become available, revising the estimate to reflect changes, and analyzing differences between estimated and actual costs—for example, using data from a reliable earned value management (EVM) system. 3 The ability to generate reliable cost estimates is a critical function, necessary to support the Office of Management and Budget’s (OMB) capital programming process. 4 Without this ability, agencies are at risk of experiencing cost overruns, missed deadlines, and performance shortfalls—all recurring problems that our program assessments too often reveal. Furthermore, cost increases often mean that the government

Best Practices For Developing

2009-01-01T23:59:59.000Z

390

Cranking mass parameters for fission  

E-Print Network (OSTI)

A formalism for semi-adiabatic cranking mass parameters is presented. For the fission process of 234U, the time-dependent pairing equations of motion were used to calculate the excitation energy and to extract values of the cranking inertia. A fission barrier is determined by minimizing the action trajectory in a five dimensional configuration space spanned by elongation, necking, deformations of fragments and mass-asymmetry. The deformation energy is computed in the the frame of the microscopic-macroscopic model. The two center shell model with Woods-Saxon potentials is used in this context. Values of the inertia for excited fissioning systems are reported. A dependence between the cranking mass parameters and the intrinsic excitation energy is evidenced.

M. Mirea; R. C. Bobulescu

2009-09-11T23:59:59.000Z

391

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

9/20/2011 9/20/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: July 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures

392

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

7/22/2011 7/22/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: May 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were slightly below normal in May 2011.

393

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

6/24/2011 6/24/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: April 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were above normal in April 2011.

394

On optimization of sub-THz gyrotron parameters  

SciTech Connect

The theory is developed describing how the optimization of gyrotron parameters should be done taking into account two effects deteriorating the gyrotron efficiency: the spread in electron velocities and the spread in the guiding center radii. The paper starts from qualitative analysis of the problem. This simplified theory is used for making some estimates for a specific gyrotron design. The same design is then studied by using more accurate numerical methods. Results of the latter treatment agree with former qualitative predictions.

Dumbrajs, O. [Institute of Solid State Physics, University of Latvia, Kengaraga Street 8, LV-1063 Riga (Latvia); Nusinovich, G. S. [Institute for Research in Electronics and Applied Physics, University of Maryland, College Park, Maryland 20742-3511 (United States)

2012-10-15T23:59:59.000Z

395

Modeling and Parameter Optimization for an Articulating Electro Hydraulic Forest Machinery  

Science Conference Proceedings (OSTI)

This paper focuses on modeling and parameter estimation for the electro hydraulic actuation system of an articulated forestry machine. The linear graph method is implemented in deriving mathematical models of the swing, boom and stick subsystems. Actuation ... Keywords: Forest Machinery, Articulating Electro Hydraulic, Parameter Optimization

Wei-Zhan Guo; Liu-Jin Hao; Yu Ying; Wu-Jia Di

2010-01-01T23:59:59.000Z

396

Bi-parameter incremental unknowns ADI iterative methods for elliptic problems  

Science Conference Proceedings (OSTI)

Bi-parameter incremental unknowns (IU) alternating directional implicit (ADI) iterative methods are proposed for solving elliptic problems. Condition numbers of the coefficient matrices for these iterative schemes are carefully estimated. Theoretical ... Keywords: Bi-parameter ADI iterative method, Condition number, Convergence analysis, Incremental unknowns

Aili Yang; Yujiang Wu; Yongqing Wu; Dawei Ren

2012-07-01T23:59:59.000Z

397

Selective ensemble modeling parameters of mill load based on shell vibration signal  

Science Conference Proceedings (OSTI)

Load parameters inside the ball mill have direct relationships with the optimal operation of grinding process. This paper aims to develop a selective ensemble modeling approach to estimate these parameters. At first, the original vibration signal is ... Keywords: empirical mode decomposition, selective ensemble modeling, soft sensor, vibration frequency spectrum

Jian Tang; Li-Jie Zhao; Jia Long; Tian-you Chai; Wen Yu

2012-07-01T23:59:59.000Z

398

Some recent applications of distributed parameter systems theory-A survey  

Science Conference Proceedings (OSTI)

A survey of some recent applications of distributed parameter systems theory is presented. The practical areas discussed range from process control problems in an industrial plant to the identification, monitoring and control of air and water quality ... Keywords: Applications, control, distributed parameter systems, identification, optimal design, state estimation

W. H. Ray

1978-05-01T23:59:59.000Z

399

Automated Regularization Parameter Selection in Multi-Scale Total Variation Models for Image Restoration  

Science Conference Proceedings (OSTI)

Multi-scale total variation models for image restoration are introduced. The models utilize a spatially dependent regularization parameter in order to enhance image regions containing details while still sufficiently smoothing homogeneous features. The ... Keywords: Hierarchical decomposition, Local variance estimator, Order statistics, Primal-dual method, Semismooth Newton method, Spatially dependent regularization parameter, Total variation regularization

Yiqiu Dong; Michael Hintermüller; M. Monserrat Rincon-Camacho

2011-05-01T23:59:59.000Z

400

Determining Key Model Parameters of Rapidly Intensifying Hurricane Guillermo (1997) Using the Ensemble Kalman Filter  

Science Conference Proceedings (OSTI)

In this work the authors determine key model parameters for rapidly intensifying Hurricane Guillermo (1997) using the ensemble Kalman filter (EnKF). The approach is to utilize the EnKF as a tool only to estimate the parameter values of the model ...

Humberto C. Godinez; Jon M. Reisner; Alexandre O. Fierro; Stephen R. Guimond; Jim Kao

2012-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

NPP Estimation for Grasslands  

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

NPP for Grasslands NPP for Grasslands Introduction The Oak Ridge DAAC Net Primary Production (NPP) Database includes field measurements from grassland study sites worldwide. The following brief review and discussion is intended to explain the complexity of NPP estimates derived from grassland measurements. There is no single answer to the question, "What is the productivity of the ecosystem at study site A?"; rather there may be range of estimates of NPP, depending upon what data were actually collected and how these data are processed. Although some of these methods for determining NPP for grasslands may be applicable to other vegetation types (e.g., semi-deserts, tundra, or some crops), methods for forests, in particular, are significantly different. Nevertheless, it should be possible to answer the question, "Is this modelled value of NPP reasonable for this ecosystem type at this location?"

402

Hourly Energy Emission Factors for Electricity Generation in...  

Open Energy Info (EERE)

Hourly Energy Emission Factors for Electricity Generation in the United States

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

403

Using Backup Generators  

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

Power outages are commonplace during disasters, and they may last for several days. You can reduce losses and speed the recovery process by installing an emergency generator. Portable generators...

404

The specification and estimation of technological change in electricity production  

SciTech Connect

This study focuses on the rate of technological change in electricity production. The dominant role of fossil fuel-fired electricity production in the industry, coupled with the direct association with the emission of greenhouse gases, makes technology parameters particularly significant for several reasons. First, very long-run simulations of energy-economic paths at a global level require that technical progress occupy a place in the methodology for sound formulations that are vital in global emissions/energy policy analysis. Second, given the outlook for electricity generation being predominately coal-based, especially in developing economies around the world, the specification and measurement of technical change is essential for developing realistic long-run technology forecasts. Finally, industry or sector growth in productivity hinges partly on technical progress, and updated analysis will always be necessary to stay abreast of developments on this front, as well as for economic growth considerations in general. This study is based on empirical economic research on production functions in the electric utility industry. However, it advances a seldom used approach, called the {open_quotes}engineering-production function{close_quotes}, in contrast to the more common neoclassical approach used by economists. Combined with this approach is a major departure from the type of data used to conduct econometric estimations of production parameters. This research draws upon a consistent set of ex ante or {open_quotes}blueprint{close_quotes} data that better reflects planned, technical performance and cost data elements, in contrast to the more customary, expect type of data from actual firm/plant operations. The results from the examination of coal-fired technologies indicate the presence of technical change. Using data for the period from 1979 to 1989, we find technical change to be capital-augmenting at the rate of 1.8 percent per year.

Kavanaugh, D.C.; Ashton, W.B.

1995-01-01T23:59:59.000Z

405

AN OVERVIEW OF TOOL FOR RESPONSE ACTION COST ESTIMATING (TRACE)  

Science Conference Proceedings (OSTI)

Tools and techniques that provide improved performance and reduced costs are important to government programs, particularly in current times. An opportunity for improvement was identified for preparation of cost estimates used to support the evaluation of response action alternatives. As a result, CH2M HILL Plateau Remediation Company has developed Tool for Response Action Cost Estimating (TRACE). TRACE is a multi-page Microsoft Excel{reg_sign} workbook developed to introduce efficiencies into the timely and consistent production of cost estimates for response action alternatives. This tool combines costs derived from extensive site-specific runs of commercially available remediation cost models with site-specific and estimator-researched and derived costs, providing the best estimating sources available. TRACE also provides for common quantity and key parameter links across multiple alternatives, maximizing ease of updating estimates and performing sensitivity analyses, and ensuring consistency.

FERRIES SR; KLINK KL; OSTAPKOWICZ B

2012-01-30T23:59:59.000Z

406

Operated device estimation framework  

E-Print Network (OSTI)

Protective device estimation is a challenging task because there are numerous protective devices present in a typical distribution system. Among various protective devices, auto-reclosers and fuses are the main overcurrent protection on distribution systems. Operation of a protective device in response to a particular fault condition depends upon the protective device’s operating behavior and coordination of various such protective devices. This thesis presents the design and implementation of a protective device estimation algorithm which helps in identifying which protective devices have operated to clear a short circuit condition. The algorithm uses manufacturer’s device details, power quality data measured from substation monitoring devices and power system event features estimated using existing DFA algorithms. The proposed technique can be used to evaluate coordination of these protective devices and helps in locating a fault in a distribution system feeder. This approach is independent of feeder topology and could be readily used for any distribution system. The effectiveness of this algorithm is verified by simulated and actual test data. Suggestions are included for future research and application by electric utilities.

Rengarajan, Janarthanan

2008-12-01T23:59:59.000Z

407

Robust Estimation of Optical Phase Varying as a Continuous Resonant Process  

E-Print Network (OSTI)

It is well-known that adaptive homodyne estimation of continuously varying optical phase provides superior accuracy in the phase estimate as compared to adaptive or non-adaptive static estimation. However, most phase estimation schemes rely on precise knowledge of the underlying parameters of the system under measurement, and performance deteriorates significantly with changes in these parameters; hence it is desired to develop robust estimation techniques immune to such uncertainties. In related works, we have already shown how adaptive homodyne estimation can be made robust to uncertainty in an underlying parameter of the phase varying as a simplistic Ornstein-Uhlenbeck stochastic noise process. Here, we demonstrate robust phase estimation for a more complicated resonant noise process using a guaranteed cost robust filter.

Shibdas Roy; Ian R. Petersen; Elanor H. Huntington

2013-03-01T23:59:59.000Z

408

Next Generation Light Source  

•Next Generation Light Source – Super Thin Light Bulb, Energy Efficient, Long Life, Dimmable, and Uniform Illumination •High Entry Barrier – 71 ...

409

Main Generator Rotor Maintenance  

Science Conference Proceedings (OSTI)

Main generator rotors are constructed and designed to provide decades of reliable and trouble-free operation. However, a number of incidences have occurred over the years that can adversely impact reliable operation of generator rotors and, ultimately, production of electrical power. This report is a guide for power plant personnel responsible for reliable operation and maintenance of main generators. As a guide, this report provides knowledge and experience from generator experts working at power plants...

2006-11-27T23:59:59.000Z

410

Fine Adjustment of Large Scale Air-Sea Energy Flux Parameterizations by Direct Estimates of Ocean Heat Transport  

Science Conference Proceedings (OSTI)

An inverse technique is used to adjust uncertain coefficients and parameters in the bulk formulae of climatological air-sea energy fluxes in order to obtain an agreement of indirect estimates of meridional heat transport with direct estimates in ...

Hans-Jörg Isemer; Jürgen Willebrand; Lutz Hasse

1989-10-01T23:59:59.000Z

411

Generating safe template languages  

Science Conference Proceedings (OSTI)

Template languages are widely used within generative programming, because they provide intuitive means to generate software artefacts expressed in a specific object language. However, most template languages perform template instantiation on the level ... Keywords: generative programming, language extension, safe authoring, template language

Florian Heidenreich; Jendrik Johannes; Mirko Seifert; Christian Wende; Marcel Böhme

2009-10-01T23:59:59.000Z

412

Numerical maximum likelihood estimation for the g-and-k and generalized g-and-h distributions  

Science Conference Proceedings (OSTI)

Continuing increases in computing power and availability mean that many maximum likelihood estimation (MLE) problems previously thought intractable or too computationally difficult can now be tackled numerically. However, ML parameter estimation for ... Keywords: g-and-k distribution, generalized g-and-h distribution, maximum likelihood estimation (MLE), numerical maximum likelihood estimation (NMLE), quantile distributions

G. D. Rayner; H. L. MacGillivray

2002-01-01T23:59:59.000Z

413

ORNL DAAC, Biogeochemical Parameters for Ecosystem Modeling,...  

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

Parameters for Ecosystem Modeling The ORNL DAAC announces the release of a data set entitled "Literature-Derived Parameters for the BIOME-BGC Terrestrial Ecosystem...

414

ADVANCED ONCE-THROUGH STEAM GENERATOR FOR SODIUM APPLICATION  

SciTech Connect

Preliminary design calculations were performed for a once-through type steam generator and reheater for advanced sodium power plants in the 300-Mwe range. Parameters and performance data are presented. (D.L.C.)

Terpe, G.R.

1960-09-19T23:59:59.000Z

415

Preliminary relative permeability estimates of methanehydrate-bearing sand  

SciTech Connect

The relative permeability to fluids in hydrate-bearingsediments is an important parameter for predicting natural gas productionfrom gas hydrate reservoirs. We estimated the relative permeabilityparameters (van Genuchten alpha and m) in a hydrate-bearing sand by meansof inverse modeling, which involved matching water saturation predictionswith observations from a controlled waterflood experiment. We used x-raycomputed tomography (CT) scanning to determine both the porosity and thehydrate and aqueous phase saturation distributions in the samples. X-rayCT images showed that hydrate and aqueous phase saturations arenon-uniform, and that water flow focuses in regions of lower hydratesaturation. The relative permeability parameters were estimated at twolocations in each sample. Differences between the estimated parametersets at the two locations were attributed to heterogeneity in the hydratesaturation. Better estimates of the relative permeability parametersrequire further refinement of the experimental design, and betterdescription of heterogeneity in the numerical inversions.

Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.

2006-05-08T23:59:59.000Z

416

Motor/generator  

DOE Patents (OSTI)

A motor/generator is provided for connecting between a transmission input shaft and an output shaft of a prime mover. The motor/generator may include a motor/generator housing, a stator mounted to the motor/generator housing, a rotor mounted at least partially within the motor/generator housing and rotatable about a rotor rotation axis, and a transmission-shaft coupler drivingly coupled to the rotor. The transmission-shaft coupler may include a clamp, which may include a base attached to the rotor and a plurality of adjustable jaws.

Hickam, Christopher Dale (Glasford, IL)

2008-05-13T23:59:59.000Z

417

Interactions between Simulated Tropical Cyclones and an Environment with a Variable Coriolis Parameter  

Science Conference Proceedings (OSTI)

Numerical simulations of tropical cyclones are performed to examine the effects of a variable Coriolis parameter on the structure and intensity of hurricanes. The simulations are performed using the nonhydrostatic fifth-generation Pennsylvania ...

Elizabeth A. Ritchie; William M. Frank

2007-05-01T23:59:59.000Z

418

Estimate HRSG performance quickly  

SciTech Connect

Heat recovery steam generators (HRSG) are coupled to a heat recovery source which exhausts hot gases, such as gas turbines, furnaces, kilns, etc., to generate steam for the plant's process or power needs. When two pieces of equipment are coupled, their performances may not match their respective design or maximum efficiency points due to varying plant load or steam demand. In addition, many plants require the HRSG to operate effectively over the entire operating range of the plant. In chemical and fertilizer plants, hot gas is cooled in the HRSG to the required limiting temperature. In plants using gas turbines, even ambient conditions will affect HRSG performance indirectly. So a plant engineer should be able to predict the HRSG performance at any design point called for by the plant's load or steam demand.

Kuppuraj, K.

1986-07-01T23:59:59.000Z

419

Variations in environmental tritium doses due to meteorological data averaging and uncertainties in pathway model parameters  

Science Conference Proceedings (OSTI)

The objectives of this research are: (1) to calculate and compare off site doses from atmospheric tritium releases at the Savannah River Site using monthly versus 5 year meteorological data and annual source terms, including additional seasonal and site specific parameters not included in present annual assessments; and (2) to calculate the range of the above dose estimates based on distributions in model parameters given by uncertainty estimates found in the literature. Consideration will be given to the sensitivity of parameters given in former studies.

Kock, A.

1996-05-01T23:59:59.000Z

420

Estimation, Economic methodology  

E-Print Network (OSTI)

In this paper I analyse the main strengths and weaknesses of agent-based computational models. I first describe how agent-based simulations can complement more traditional modelling techniques. Then, I rationalise the main theoretical critiques against the use of simulation, which point to the following problematic areas: (i) interpretation of the simulation dynamics, (ii) estimation of the simulation model, and (iii) generalisation of the results. I show that there exist solutions for all these issues. Along the way, I clarify some confounding differences in terminology between the computer science and the economic literature.

Matteo Richiardi; Laboratorio Riccardo; Revelli Centre; Employment Studies; I’m Indebted Francesco Devicienti; Roberto Leombruni; Bruno Contini For Their

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Estimate of Undulator Magnet Damage Due to Beam Finder Wire Measurements  

Science Conference Proceedings (OSTI)

Beam Finder Wire (BFW) devices will be installed at each break in the Undulator magnet line. These devices will scan small wires across the beam causing some electrons to lose energy through bremsstrahlung. The degraded electrons are subsequently detected downstream of a set of vertical dipole magnets after they pass through the vacuum chamber. This signal can then be used to accurately determine the beam position with respect to the BFW wire. The choice of the wire diameter, scan speed, and operating parameters, depends on the trade-off between the signal size and the radiation damage to the undulator magnets. In this note I estimate the rate of undulator magnet damage that results from scanning as a function of, wire size, scan speed, and average beam current. A separate analysis of the signal size was carried out by Wu. The damage estimate is primarily based on two sources: the first, Fasso, is used to estimate the amount of radiation generated and then absorbed by the magnets; the second, Alderman et. al., is used to estimate the amount of damage the magnet undergoes as a result of the absorbed radiation. Fasso performed a detailed calculation of the radiation, including neutron fluence, that results from a the electron beam passing through a 100 micron diamond foil inserted just in front of the undulator line. Fasso discussed the signficance of various types of radiation and stated that photoneutrons probably play a major role. The estimate in this paper assumes the neutron fluence is the only significant cause of radiation-induced demagnetization. The specific results I use from Fasso's paper are reproduced here in Figure 1, which shows the radial distribution of the integrated neutron fluence per day in the undulator magnets, and Figure 2, which shows the absorbed radiation dose all along the undulator line. In the longitudinal dimension, Fasso's calculation, (see Figure 2), shows that the radiation dose is widely distributed all along the undulator line, but is highest around 70 m from the front of the undulator line where the foil is. At the 70 m point, for the purpose of calculating the demagnetization, I chose a conservative estimate for the effective neutron flux of 1.0 x 10{sup 13} n/cm{sup 2}/day. As can be seen in Figure 1, this choice is representative of the flux nearest the beam where it is the highest. A less conservative estimate, but perhaps more accurate, estimate of the effective flux, would be the average flux in the magnet block, which is roughly one half as much.

Welch, J.

2010-12-03T23:59:59.000Z

422

Utility Savings Estimators | Building Energy Codes Program  

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

the Utility Savings Estimators: Commercial Estimator | Residential Estimator (These *.zip files contain the Microsoft Excel macro-enabled (*.xlsm) estimator files. You will...

423

Aerosol Best Estimate Value-Added Product  

Science Conference Proceedings (OSTI)

The objective of the Aerosol Best Estimate (AEROSOLBE) value-added product (VAP) is to provide vertical profiles of aerosol extinction, single scatter albedo, asymmetry parameter, and Angstroem exponents for the atmospheric column above the Central Facility at the ARM Southern Great Plains (SGP) site. We expect that AEROSOLBE will provide nearly continuous estimates of aerosol optical properties under a range of conditions (clear, broken clouds, overcast clouds, etc.). The primary requirement of this VAP was to provide an aerosol data set as continuous as possible in both time and height for the Broadband Heating Rate Profile (BBHRP) VAP in order to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Even though BBHRP has been completed, AEROSOLBE results are very valuable for environmental, atmospheric, and climate research.

Flynn, C; Turner, D; Koontz, A; Chand, D; Sivaraman, C

2012-07-19T23:59:59.000Z

424

Back analysis of microplane model parameters using soft computing methods  

E-Print Network (OSTI)

A new procedure based on layered feed-forward neural networks for the microplane material model parameters identification is proposed in the present paper. Novelties are usage of the Latin Hypercube Sampling method for the generation of training sets, a systematic employment of stochastic sensitivity analysis and a genetic algorithm-based training of a neural network by an evolutionary algorithm. Advantages and disadvantages of this approach together with possible extensions are thoroughly discussed and analyzed.

Kucerova, A; Zeman, J

2009-01-01T23:59:59.000Z

425

Review of Operational Water Consumption and Withdrawal Factors for Electricity Generating Technologies  

DOE Green Energy (OSTI)

Various studies have attempted to consolidate published estimates of water use impacts of electricity generating technologies, resulting in a wide range of technologies and values based on different primary sources of literature. The goal of this work is to consolidate the various primary literature estimates of water use during the generation of electricity by conventional and renewable electricity generating technologies in the United States to more completely convey the variability and uncertainty associated with water use in electricity generating technologies.

Macknick, J.; Newmark, R.; Heath, G.; Hallett, K. C.

2011-03-01T23:59:59.000Z

426

Post-processing of ensemble weather forecasts using a stochastic weather generator  

Science Conference Proceedings (OSTI)

This study proposes a new statistical method for post-processing ensemble weather forecasts using a stochastic weather generator. Key parameters of the weather generator were linked to the ensemble forecast means for both precipitation and ...

Jie Chen; François P. Brissette; Zhi Li

427

Water Research 39 (2005) 36863696 Reliability of parameter estimation in respirometric models  

E-Print Network (OSTI)

illustrates the main criteria used in this and similar studies (see e.g. Atkinson and Donev, 1992; Versyck et. Eng. ASCE 128, 748­754. Atkinson, A.C., Donev, A.N., 1992. Optimum Experimental Designs. Clarendon

428

Inference and parameter estimation on hierarchical belief networks for image segmentation  

E-Print Network (OSTI)

­1404. [23] A. Tonazzini, L. Bedini, E. Salerno, Independent component analysis for document restoration, in: IJDAR, vol. 7, 2004, pp. 17­27. [24] A. Tonazzini, E. Salerno, L. Bedini, Fast correction of bleed

Wolf, Christian

429

Degradation identification and model parameter estimation in discontinuity-adaptive visual reconstruction  

Science Conference Proceedings (OSTI)

This paper describes our recent experiences and progress towards an efficient solution of the highly ill-posed and computationally demanding problem of blind and unsupervised visual reconstruction. Our case study is image restoration, i.e. deblurring ...

Anna Tonazzini; Luigi Bedini

2001-10-01T23:59:59.000Z

430

Inference and parameter estimation on hierarchical belief networks for image segmentation  

E-Print Network (OSTI)

. [19] A. Tonazzini and L. Bedini. Independent component analysis for document restoration. I.J. on Doc. Anal. and Rec., 7(1):17­27, 2004. [20] A. Tonazzini, E. Salerno, and L. Bedini. Fast cor- rection

Wolf, Christian

431

Parameter estimation from flowing fluid temperature logging data in unsaturated fractured rock using multiphase inverse modeling  

E-Print Network (OSTI)

Drift Scale Test at Yucca Mountain, Nevada, J. of Contam.the Drift Scale Test at Yucca Mountain Figure 1a. Figure 1b.pneumatic response at Yucca Mountain, Journal of Contaminant

Mukhopadhyay, S.

2009-01-01T23:59:59.000Z

432

Parameter estimation from flowing fluid temperature logging data in unsaturated fractured rock using multiphase inverse modeling  

E-Print Network (OSTI)

conductivity, and heat capacity measurements for boreholesconductivity, or specific heat capacity) and/or the initialand specific heat capacity. While it is possible in

Mukhopadhyay, S.

2009-01-01T23:59:59.000Z

433

Geophysical Prospecting, 2004, 52, 547557 Estimating the elastic parameters of anisotropic media using a joint  

E-Print Network (OSTI)

using a joint inversion of P-wave and SV-wave traveltime error R.J. Ferguson1 and M.K. Sen1,2 1, joint inversion of P and SV data is employed and, as pure SV data are relatively rare, the use of mode-converted (PSV) data to represent SV in the joint inversion is proposed. Analytic and synthetic examples are used

Ferguson, Robert J.

434

Estimation of Dynamic Rate Parameters in Insect Populations Undergoing Sublethal Exposure to  

E-Print Network (OSTI)

. This was partly because matrix algebra was perceived as an advanced and esoteric branch of mathematics

435

Parameter Estimation and Life Modeling of Lithium-Ion Cells Shriram Santhanagopalan,*,a  

E-Print Network (OSTI)

for solid phase diffusion in lithium ion battery electrodes: Variable diffusion coefficient Sindhuja online 30 June 2010 Keywords: Integral transform technique Semianalytical method Lithium ion battery of diffusion process in lithium ion battery electrode. The solutions obtained using the method presented

436

Estimating ProteinLigand Binding Free Energy: Atomic Solvation Parameters for Partition Coefficient and  

E-Print Network (OSTI)

cancer. Nat Genet 39:638­644. 5. Easton DF, et al.; SEARCH collaborators; kConFab; AOCS Management Group

Luhua, Lai

437

Truncation Effects on Estimated Parameters of Tracer Distributions Sampled on Finite Domains  

Science Conference Proceedings (OSTI)

Methods are presented and demonstrated for compensating for the apparent effect of truncation of the sampled crosswind distribution of a tracer, at either or both boundaries of a surface sampling grid downwind from the point of release. Errors ...

J. Z. Holland

1988-03-01T23:59:59.000Z

438

YEAR ACCOMPLISHMENT REPORT Title: Estimate the Indirect Aerosol Effect and Retrieval of Related Parameters from Satellite  

E-Print Network (OSTI)

of cloud liquid water [Ackerman et al. 1995]. Another mechanism may lead to desiccation of clouds due to aerosol-cloud interaction is by enhanced solar absorption [e.g., Ackerman and Toon, 1996]. Calculations clouds. J. Geophys. Res., 100, 7121-7133. Ackerman, A. S., and O. B. Toon, 1996: Unrealistic desiccation

439

Parameter estimation from flowing fluid temperature logging data in unsaturated fractured rock using multiphase inverse modeling  

E-Print Network (OSTI)

modeling fluid and heat flow in fractured porous media, Soc.fluid and heat flows of multiphase, multicomponent fluid mixtures in porous and fractured media.

Mukhopadhyay, S.

2009-01-01T23:59:59.000Z

440

Red herrings revisited: spatial autocorrelation and parameter estimation in geographical ecology  

E-Print Network (OSTI)

autocorrelation and red herrings in geographical ecology. —2000. Red-shifts and red herrings in geographical ecology. —email:bhawkins@uci.edu Red herrings revisited: spatial

Hawkins, Bradford A.; Diniz-Filho, Jose Alexandre F.; Bini, Luis Mauricio; De Marco, Paulo; Blackburn, Tim M.

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Some Turbulence and Diffusion Parameter Estimates within Cooling Tower Plumes Derived from Sodar Data  

Science Conference Proceedings (OSTI)

Temperature and velocity fluctuations within a cooling tower plume in stable conditions at the Keystone power plant in Pennsylvania have been measured by use of a calibrated sodar. Monostatic and bistatic systems probed the plume at several ...

R. L. Coulter; K. H. Underwood

1980-12-01T23:59:59.000Z

442

Geophysical parameter estimation with a passive microwave spectrometer at 54 / 118 / 183 / 425 GHz  

E-Print Network (OSTI)

(cont.) model of a convective cell is presented that provides a physical basis for this relationship.

Leslie, Robert Vincent, 1972-

2004-01-01T23:59:59.000Z

443

Parameter Estimation and Supervisory Techniques for Robust Longitudinal Control of Heavy Vehicles  

E-Print Network (OSTI)

plot) and brake pressure in Volt at the front left wheel (fuel circuit is below 0.5 Volt). Although the actuators can,command (between 0 and 10 Volt), they were limited within a

Druzhinina, Maria; Moklegaard, Lasse; Stefanopoulou, Anna G.

2003-01-01T23:59:59.000Z

444

THE RIEMANNIAN GEOMETRY OF CERTAIN PARAMETER ESTIMATION PROBLEMS WITH SINGULAR FISHER INFORMATION MATRICES  

E-Print Network (OSTI)

MATRICES Jo~ao Xavier and Victor Barroso Instituto Superior T´ecnico ­ Instituto de Sistemas e Rob´otica Av and Geometric Analysis. 2nd ed. Springer-Verlag. [4] S. Gallot, D. Hulin, and J. Lafontaine. Riemannian Geome

445

Shape, motion, and inertial parameter estimation of space objects using teams of cooperative vision sensors  

Science Conference Proceedings (OSTI)

Future space missions are expected to use autonomous robotic systems to carry out a growing number of tasks. These tasks may include the assembly, inspection, and maintenance of large space structures; the capture and servicing of satellites; and the ...

Matthew D. Lichter / Steven Dubowsky

2005-01-01T23:59:59.000Z

446

Proschema: A Matlab application for processing strong motion records and estimating earthquake engineering parameters  

Science Conference Proceedings (OSTI)

Strong motion records are the original input data for earthquake engineering studies and earthquake resistant building codes. Records originating from both, analogue and modern digital instruments should be subjected to processing in order to derive ... Keywords: CDMG format, Corrected time series, European strong motion database format, Response spectra, Seismology, Smc format

M. Segou; N. Voulgaris

2010-07-01T23:59:59.000Z

447

Estimation of constitutive parameters for the Belridge Diatomite, South Belridge Diatomite Field  

Science Conference Proceedings (OSTI)

A cooperative national laboratory/industry research program was initiated in 1994 that improved understanding of the geomechanical processes causing well casing damage during oil production from weak, compactible formations. The program focused on the shallow diatomaceous oil reservoirs located in California`s San Joaquin Valley, and combined analyses of historical field data, experimental determination of rock mechanical behavior, and geomechanical simulation of the reservoir and overburden response to production and injection. Sandia National Laboratories` quasi-static, large-deformation structural mechanics finite element code JAS3D was used to perform the three-dimensional geomechanical simulations. One of the material models implemented in JAS3D to simulate the time-independent inelastic (non-linear) deformation of geomaterials is a generalized version of the Sandler and Rubin cap plasticity model (Sandler and Rubin, 1979). This report documents the experimental rock mechanics data and material cap plasticity models that were derived to describe the Belridge Diatomite reservoir rock at the South Belridge Diatomite Field, Section 33.

Fossum, A.F.; Fredrich, J.T.

1998-06-01T23:59:59.000Z

448

Poisson intensity parameter estimation for stationary Gibbs point processes of finite  

E-Print Network (OSTI)

, Series B, 67:1­ 35, 2005. [5] J.-M. Billiot, J.-F. Coeurjolly, and R. Drouilhet. Maximum pseudolikelihood, 2:234­264, 2008. [6] J.-F. Coeurjolly, D. Dereudre, R. Drouilhet, and F. Lavancier. Takacs. Dereudre, R. Drouilhet, and H.O. Georgii. Existence of Gibbsian point processes with geometry

449

Drag Parameter Estimation using Gradients and Hessian from a Polynomial Chaos Model Surrogate  

Science Conference Proceedings (OSTI)

A variational inverse problem is solved using polynomial chaos expansions to infer several critical variables in HYCOM’s wind drag parameterization. This alternative to the Bayesian inference approach in Sraj et al. (2013) avoids the complications ...

Ihab Sraj; Mohamed Iskandarani; W. Carlisle Thacker; Ashwanth Srinivasan; Omar M. Knio

450

Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models  

E-Print Network (OSTI)

Many researchers have worked to develop methods to analyze and characterize capacity fade in lithium-ion batteries. As a complement to approaches to mathematically model capacity fade that require detailed understanding ...

Braatz, Richard D.

451

An Efficient Stochastic Bayesian Approach to Optimal Parameter and Uncertainty Estimation for Climate Model Predictions  

Science Conference Proceedings (OSTI)

One source of uncertainty for climate model predictions arises from the fact that climate models have been optimized to reproduce observational means. To quantify the uncertainty resulting from a realistic range of model configurations, it is ...

Charles Jackson; Mrinal K. Sen; Paul L. Stoffa

2004-07-01T23:59:59.000Z

452

Estimation of the Mean Field Bias of Radar Rainfall Estimates  

Science Conference Proceedings (OSTI)

In this paper procedures are developed for estimating the mean field bias of radar rainfall estimates. Mean field bias is modeled as a random process that varies not only from storm to storm but also over the course of a storm. State estimates of ...

James A. Smith; Witold F. Krajewski

1991-04-01T23:59:59.000Z

453

Identification of Critical Parameters for Distribution Networks with DFIG and Dynamic loads  

E-Print Network (OSTI)

Identification of Critical Parameters for Distribution Networks with DFIG and Dynamic loads M. S of distribution network with Doubly Fed Induction Generator (DFIG) is presented in a different way where an analysis to investigate the critical parameters for distribution systems with dynamic loads where DFIGs

Pota, Himanshu Roy

454

Steam generator support system  

SciTech Connect

A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances.

Moldenhauer, James E. (Simi Valley, CA)

1987-01-01T23:59:59.000Z

455

Steam generator designs  

SciTech Connect

A combined cycle is any one of combinations of gas turbines, steam generators or heat recovery equipment, and steam turbines assembled for the reduction in plant cost or improvement of cycle efficiency in the utility power generation process. The variety of combined cycles discussed for the possibilities for industrial applications include gas turbine plus unfired steam generator; gas turbine plus supplementary fired steam generator; gas turbine plus furnace-fired steam generator; and supercharged furnace-fired system generator plus gas turbine. These units are large enough to meet the demands for the utility applications and with the advent of economical coal gasification processes to provide clean fuel, the combined-cycle applications are solicited. (MCW)

Clayton, W.H.; Singer, J.G.

1973-07-01T23:59:59.000Z

456

Steam generator support system  

DOE Patents (OSTI)

A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source is disclosed. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances. 4 figs.

Moldenhauer, J.E.

1987-08-25T23:59:59.000Z

457

Method of grid generation  

DOE Patents (OSTI)

The present invention provides a method of grid generation that uses the geometry of the problem space and the governing relations to generate a grid. The method can generate a grid with minimized discretization errors, and with minimal user interaction. The method of the present invention comprises assigning grid cell locations so that, when the governing relations are discretized using the grid, at least some of the discretization errors are substantially zero. Conventional grid generation is driven by the problem space geometry; grid generation according to the present invention is driven by problem space geometry and by governing relations. The present invention accordingly can provide two significant benefits: more efficient and accurate modeling since discretization errors are minimized, and reduced cost grid generation since less human interaction is required.

Barnette, Daniel W. (Veguita, NM)

2002-01-01T23:59:59.000Z

458

generation | OpenEI  

Open Energy Info (EERE)

generation generation Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 16, and contains only the reference case. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO generation renewable energy renewable energy generating capacity Data application/vnd.ms-excel icon AEO2011: Renewable Energy Generating Capacity and Generation- Reference Case (xls, 118.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata

459

Unprecedented Generation Shifts  

Science Conference Proceedings (OSTI)

The economic recession, which reduced electricity demand, and falling natural gas costs have brought about unprecedented shifts in electric generation. These developments have affected coal-fired generation the most, leading to operational challenges (cycling and shut downs), deterioration of financial performance, and an awareness of the vulnerability of many units to retirement. A third force, though usually affecting natural gas unit operations more than coal, is the build-up of wind generation. This ...

2010-12-31T23:59:59.000Z

460

Steam generator replacement overview  

Science Conference Proceedings (OSTI)

Since nuclear power began to be widely used for commercial purposes in the 1960s, unit operators have experienced a variety of problems with major components. Although many of the problems have diminished considerably, those associated with pressurized water reactor (PWR) steam generators persist. Steam generator problems rank second, behind refueling outages, as the most significant contributor to lost electricity generation. As of December 31, 1995, 38 steam generators had been replaced in 13 of the 72 operating PWRs, and three units had been shut down prematurely, due primarily (or partially) to degradation of their steam generators: Portland General Electric`s Trojan unit, located in Prescott, OR, in 1992; Southern California Edison`s San Onofre 1, located in San Clemente, CA, in 1992; and Sacramento Municipal Utility District`s Rancho Seco unit in 1989. In the coming years, operators of PWRs in the US with degraded steam generators will have to decide whether to make annual repairs (with eventual derating likely), replace the generators or shut the plants down prematurely. To understand the issues and decisions utility managers face, this article examines problems encountered at steam generators over the past few decades and identifies some of the remedies that utility operators and the nuclear community have employed, including operational changes, maintenance, repairs and steam generator replacement.

Chernoff, H. [Science Applications International Corp., McLean, VA (United States); Wade, K.C. [USDOE Energy Information Administration, Washington, DC (United States)

1996-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

EIA - Electricity Generating Capacity  

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

imports and exports. Renewable & Alternative Fuels Includes hydropower, solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium Uranium fuel, nuclear reactors, generation,...

462

Generator backup overcurrent protection  

Science Conference Proceedings (OSTI)

A concern that the characteristics and correct application of the generator backup relay are misunderstood is addressed in this report to the Power Systems Protection Committee. It is inherently a secure device, and rarely has the opportunity to operate in its intended capacity. So the question was asked, ''Do generator backup overcurrent relays really protect anything.'' In response a description of the function and operating characteristics of the backup relays, a discussion of generator fault current behavior, examples of relay settings for a typical application, and methods and criteria for determining that the relay both protects the generator and operates selectively with other protective devices are included.

Baker, D.S.

1982-11-01T23:59:59.000Z

463

Next Generation Neural Implants  

Science Conference Proceedings (OSTI)

... They are still bulky, rigid, power hungry, and functionally limited. ... This talk will review progress on next generation implants, which must be miniature ...

2010-10-05T23:59:59.000Z

464

Next Generation Test Bed  

Science Conference Proceedings (OSTI)

... 3 machine rooms (safety, security, power, & A/C). Supports COOP ... ii. Developing methods and technologies for next generation biometric testing. ...

2011-12-15T23:59:59.000Z

465

Isolated trigger pulse generator  

DOE Patents (OSTI)

A trigger pulse generation system capable of delivering a multiplicity of isolated 100 kV trigger pulses with picosecond simultaneity. 2 figs.

Aaland, K.

1980-02-19T23:59:59.000Z

466

Radioisotope Power Generation  

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

Radioisotope Power Generation Long lived power sources are needed for equipment that is too remote or inaccessible for replacement. By choosing a radioactive element with a long...

467

New Generation of MJTCs  

Science Conference Proceedings (OSTI)

... After years of effort and scores of iterations, PML researchers have developed a new generation of devices that can reduce the uncertainties in ac ...

2013-06-24T23:59:59.000Z

468

Generation IV Program  

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

an international initiative. A group of ten nations, including France, Japan, Russia, Korea, China, and Canada, are participating in the planning and development of Generation IV...

469

WIPP Gas-Generation Experiments  

DOE Green Energy (OSTI)

An experimental investigation was conducted for gas generation in contact-handled transuranic (CH TRU) wastes subjected for several years to conditions similar to those expected to occur at the Waste Isolation Pilot Plant (WIPP) should the repository eventually become inundated with brine. Various types of actual CH TRU wastes were placed into 12 corrosion-resistant vessels. The vessels were loosely filled with the wastes, which were submerged in synthetic brine having the same chemical composition as that in the WIPP vicinity. The vessels were also inoculated with microbes found in the Salado Formation at WIPP. The vessels were sealed, purged, and the approximately 750 ml headspace in each vessel was pressurized with nitrogen gas to approximately 146 atmospheres to create anoxic conditions at the lithostatic pressure estimated in the repository were it to be inundated. The temperature was maintained at the expected 30°C. The test program objective was to measure the quantities and species of gases generated by metal corrosion, radiolysis, and microbial activity. These data will assist in the specification of the rates at which gases are produced under inundated repository conditions for use in the WIPP Performance Assessment computer models. These experiments were very carefully designed, constructed, instrumented, and performed. Approximately 6 1/2 years of continuous, undisturbed testing were accumulated. Several of the vessels showed significantly elevated levels of generated gases, virtually all of which was hydrogen. Up to 4.2% hydrogen, by volume, was measured. Only small quantities of other gases, principally carbon dioxide, were detected. Gas generation was found to depend strongly on the waste composition. The maximum hydrogen generation occurred in vessels containing carbon steel. Visual examination of carbon-steel coupons confirmed the correspondence between the extent of observable corrosion and hydrogen generation. Average corrosion penetration rates in carbon-steel of up to 2.3 microns per year were deduced. Conversion of carbon to carbon dioxide was calculated to be as high as 4.7 µg mol/yr/g carbon. Carbon monoxide was detected in only two waste compositions, and methane was detected in only one. In all three of these cases, the concentrations of these lesser gases detected were barely above the detection limits. No hydrogen sulfide was ever detected. Initial rates of hydrogen generation measured in the carbon-steel-bearing wastes during the first year of testing did not always correspond to rates measured over the longer term. Compared to the long-term trends, the initial gas-generation rates for some waste types were higher, for some lower, and for others remained constant. Although carbon-steel corrosion was clearly the dominant hydrogen generator, the rates of generation were found to be reduced in test vessels where the same quantity of carbon steel was co-mingled with other waste types. This is a beneficial phenomenon relative to performance of the WIPP repository. Statistical analyses of the results were made to quantify these negative interaction effects. Electron microscopy analyses of the carbon-steel coupons revealed that corrosion products were predominantly iron chlorides and oxides. Iron, chlorine, oxygen, uranium, magnesium, calcium, aluminum, silicon were all present in the corrosion products. No americium nor neptunium, both present in the wastes, were detected in any of the corrosion products. All

Frank S. Felicione; Steven M. Frank; Dennis D. Keiser

2007-05-01T23:59:59.000Z

470

Estimating the Economic 'Trade' Value of Increased Transmission Capability  

Science Conference Proceedings (OSTI)

The authors offer a new method of estimating the potential gains achievable via transmission expansion in moving power from lower-priced to higher-priced regions. Rather than relying on simulation approaches, where electricity is dispatched based on specific assumptions regarding market-bidding behavior, plant generating costs, and plant availability, this technique instead relies on actual market data to estimate this source of economic value. (author)

Kleit, Andrew N.; Reitzes, James D.

2006-03-01T23:59:59.000Z

471

Estimating Civilian Owned Firearms  

E-Print Network (OSTI)

Most of the world’s firearms are privately owned. 1 They include improvised craft guns as well as handguns, rifles, shotguns, and machine guns. The legal definition of a civilian firearm varies; some states allow civilian ownership of certain firearms that are restricted to military use in other states. The word civilian is used here to refer to actual possession, not legality. In 2007, the Small Arms Survey estimated the number of civilian firearm ownership worldwide at approximately 650 million weapons out of some 875 then in existence (see Figures 1 and 2). National ownership rates range from a high of 90 firearms per every 100 people in the United States, to one firearm or less for every 100 residents in countries like South Korea and Ghana (see Table 1). With the world’s factories delivering millions of newly manufactured firearms annually, and with far fewer being destroyed, civilian ownership is growing (Small Arms Survey, 2007, p. 39). Poor record-keeping and the near absence of reporting requirements for detailed information complicate assessments of global stockpiles of small arms and light weapons. When it comes to estimating civilian firearm ownership, differences in national gun culture —each country’s unique combination of historic and current sources of supply, laws and attitudes toward firearms ownership—often have distinct effects on the classification, ownership and perception of firearms. In addition, categories of firearm holders may overlap, as some individuals may use their private firearms at work as security guards, in armed groups, or in gangs.

unknown authors

2011-01-01T23:59:59.000Z

472

Empirical Methods of Cost Estimation  

Science Conference Proceedings (OSTI)

...D.P. Hoult and C.L. Meador, Manufacturing Cost Estimating, Materials Selection and Design, Vol 20, ASM Handbook,

473

Optimal estimation with limited measurements  

Science Conference Proceedings (OSTI)

This paper introduces a sequential estimation problem with two decision makers, or agents, who work as members of a team. One of the agents sits at an observation post, and makes sequential observations about the state of an underlying stochastic process ... Keywords: WSNs, limited information, networked control systems, optimal estimation, real-time control, real-time monitoring, recursive estimation, sequential estimation, wireless networks, wireless sensor networks

Orhan C. Imer; Tamer Basar

2010-01-01T23:59:59.000Z

474

Uncertainty in site inspection and tracking database estimates of savings  

SciTech Connect

The authors systematically analyze impact evaluation results of three commercial lighting rebate DSM programs. The research includes (1) analysis of ex ante and ex post estimates of program performance, broken down into critical program parameters: hours of operation, watts saved per measure, and measures installed per site; (2) construction of probability distributions of program performance, both in the aggregate and for these critical program parameters; and (3) use of these analyses and distributions to draw conclusions about the accuracy of savings estimates from a variety of evaluation methods. The analysis suggests that realization rates (a ratio of metered savings estimates to tracking database savings estimates) for the sample of participants they examine are subject to tremendous variability, calling into question the usefulness of a point estimate of the realization rate. Discrepancies in estimates of hours of operation are responsible for most of the uncertainty in the realization rate. Finally, the impact of shorter measure lifetimes on savings estimates suggest that persistence studies should be an evaluation priority.

Sonnenblick, R.; Eto, J. [Lawrence Berkeley National Lab., CA (United States)

1988-12-31T23:59:59.000Z

475

Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint  

DOE Green Energy (OSTI)

The total inertia stored in all rotating masses that are connected to power systems, such as synchronous generations and induction motors, is an essential force that keeps the system stable after disturbances. To ensure bulk power system stability, there is a need to estimate the equivalent inertia available from a renewable generation plant. An equivalent inertia constant analogous to that of conventional rotating machines can be used to provide a readily understandable metric. This paper explores a method that utilizes synchrophasor measurements to estimate the equivalent inertia that a wind plant provides to the system.

Zhang, Y.; Bank, J.; Wan, Y. H.; Muljadi, E.; Corbus, D.

2013-05-01T23:59:59.000Z

476

Reliability Estimates for Power Supplies  

Science Conference Proceedings (OSTI)

Failure rates for large power supplies at a fusion facility are critical knowledge needed to estimate availability of the facility or to set priorties for repairs and spare components. A study of the "failure to operate on demand" and "failure to continue to operate" failure rates has been performed for the large power supplies at DIII-D, which provide power to the magnet coils, the neutral beam injectors, the electron cyclotron heating systems, and the fast wave systems. When one of the power supplies fails to operate, the research program has to be either temporarily changed or halted. If one of the power supplies for the toroidal or ohmic heating coils fails, the operations have to be suspended or the research is continued at de-rated parameters until a repair is completed. If one of the power supplies used in the auxiliary plasma heating systems fails the research is often temporarily changed until a repair is completed. The power supplies are operated remotely and repairs are only performed when the power supplies are off line, so that failure of a power supply does not cause any risk to personnel. The DIII-D Trouble Report database was used to determine the number of power supply faults (over 1,700 reports), and tokamak annual operations data supplied the number of shots, operating times, and power supply usage for the DIII-D operating campaigns between mid-1987 and 2004. Where possible, these power supply failure rates from DIII-D will be compared to similar work that has been performed for the Joint European Torus equipment. These independent data sets support validation of the fusion-specific failure rate values.

Lee C. Cadwallader; Peter I. Petersen

2005-09-01T23:59:59.000Z

477

Robust Filtering for Adaptive Homodyne Estimation of Continuously Varying Optical Phase  

E-Print Network (OSTI)

Recently, it has been demonstrated experimentally that adaptive estimation of a continuously varying optical phase provides superior accuracy in the phase estimate compared to static estimation. Here, we show that the mean-square error in the adaptive phase estimate may be further reduced for the stochastic noise process considered by using an optimal Kalman filter in the feedback loop. Further, the estimation process can be made robust to fluctuations in the underlying parameters of the noise process modulating the system phase to be estimated. This has been done using a guaranteed cost robust filter.

Shibdas Roy; Ian R. Petersen; Elanor H. Huntington

2012-11-30T23:59:59.000Z

478

Heat Recovery Steam Generator Simulation  

E-Print Network (OSTI)

The paper discusses the applications of Heat Recovery Steam Generator Simulation. Consultants, plant engineers and plant developers can evaluate the steam side performance of HRSGs and arrive at the optimum system which matches the needs of the process plant, cogeneration or combined cycle plant. There is no need to design the HRSG per se and hence simulation is a valuable tool for anyone interested in evaluating the HRSG performance even before it is designed. It can also save a lot of time for specification writers as they need not guess how the steam side performance will vary with different gas/steam parameters. A few examples are given to show how simulation methods can be applied to real life problems.

Ganapathy, V.

1993-03-01T23:59:59.000Z

479

JMLUnit: the next generation  

Science Conference Proceedings (OSTI)

Designing unit test suites for object-oriented systems is a painstaking, repetitive, and error-prone task, and significant research has been devoted to the automatic generation of test suites. One method for generating unit tests is to use formal class ...

Daniel M. Zimmerman; Rinkesh Nagmoti

2010-06-01T23:59:59.000Z

480

Laser beam generating apparatus  

DOE Patents (OSTI)

Laser beam generating apparatus including a septum segment disposed longitudinally within the tubular structure of the apparatus. The septum provides for radiatively dissipating heat buildup within the tubular structure and for generating relatively uniform laser beam pulses so as to minimize or eliminate radial pulse delays (the chevron effect). 11 figures.

Warner, B.E.; Duncan, D.B.

1993-12-28T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" 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

Laser beam generating apparatus  

DOE Patents (OSTI)

Laser beam generating apparatus including a septum segment disposed longitudinally within the tubular structure of the apparatus. The septum provides for radiatively dissipating heat buildup within the tubular structure and for generating relatively uniform laser beam pulses so as to minimize or eliminate radial pulse delays (the chevron effect).

Warner, Bruce E. (Livermore, CA); Duncan, David B. (Auburn, CA)

1994-01-01T23:59:59.000Z

482

Laser beam generating apparatus  

DOE Patents (OSTI)

Laser beam generating apparatus including a septum segment disposed longitudinally within the tubular structure of the apparatus is described. The septum provides for radiatively dissipating heat buildup within the tubular structure and for generating relatively uniform laser beam pulses so as to minimize or eliminate radial pulse delays (the chevron effect). 7 figures.

Warner, B.E.; Duncan, D.B.

1994-02-15T23:59:59.000Z

483

Laser beam generating apparatus  

DOE Patents (OSTI)

Laser beam generating apparatus including a septum segment disposed longitudinally within the tubular structure of the apparatus. The septum provides for radiatively dissipating heat buildup within the tubular structure and for generating relatively uniform laser beam pulses so as to minimize or eliminate radial pulse delays (the chevron effect).

Warner, Bruce E. (Livermore, CA); Duncan, David B. (Auburn, CA)

1993-01-01T23:59:59.000Z

484

Kivalina wind generator  

Science Conference Proceedings (OSTI)

The project reported was to construct a system to harness the winds of an Arctic site to generate electricity that would power a greenhouse where fruit and vegetables could be raised for local consumption. The installation of the tower and an Enertech 4K wind generator are described. (LEW)

Aldrich, D.

1984-02-18T23:59:59.000Z

485

Internal split field generator  

DOE Patents (OSTI)

A generator includes a coil of conductive material. A stationary magnetic field source applies a stationary magnetic field to the coil. An internal magnetic field source is disposed within a cavity of the coil to apply a moving magnetic field to the coil. The stationary magnetic field interacts with the moving magnetic field to generate an electrical energy in the coil.

Thundat; ,Thomas George (Knoxville, TN); Van Neste, Charles W. (Kingston, TN); Vass, Arpad Alexander (Oak Ridge, TN)

2012-01-03T23:59:59.000Z

486

Numerical Generation of Entropies  

Science Conference Proceedings (OSTI)

The spurious numerical generation and/or destruction of various types of entropies in models is investigated. It is shown that entropy s? of dry matter tends to be generated if potential temperature is advected by a damping scheme. There is no ...

Joseph Egger

1999-09-01T23:59:59.000Z

487

Generative model transformer  

Science Conference Proceedings (OSTI)

The Generative Model Transformer (GMT) project is an Open Source initiative to build a Model Driven Architecure™ tool that allows fully customisable Platform Independent Models, Platform Description Models, Texture Mappings, and Refinement Transformations. ... Keywords: QVT, domain-specific languages, generative model transformer (GMT), model driven architecture (MDA), model transformation, open source

Jorn Bettin; Ghica van Emde Boas

2003-10-01T23:59:59.000Z

488

Solid aerosol generator  

DOE Patents (OSTI)

An improved solid aerosol generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration. The improved solid aerosol generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated aerosol in a grounded, conical heating chamber, achieving high recovery and flow rates.

Prescott, Donald S. (Shelley, ID); Schober, Robert K. (Midwest City, OK); Beller, John (Idaho Falls, ID)

1992-01-01T23:59:59.000Z

489

Invariant generation in vampire  

Science Conference Proceedings (OSTI)

This paper describes a loop invariant generator implemented in the theorem prover Vampire. It is based on the symbol elimination method proposed by two authors of this paper. The generator accepts a program written in a subset of C, finds loops in it, ...

Kryštof Hoder; Laura Kovács; Andrei Voronkov

2011-03-01T23:59:59.000Z

490

Japan's Long-term Energy Demand and Supply Scenario to 2050 - Estimation for the Potential of Massive CO2 Mitigation  

E-Print Network (OSTI)

Generation Roadmap toward 2030 (PV2030)," 2004 (16) NEDO, "new nuclear plants by 2030, as assumed for the referencegradually in or after 2030. These systems are estimated to

Komiyama, Ryoichi

2010-01-01T23:59:59.000Z

491

Reactivity of Acid Generators  

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

Reactivity of Acid Generators for Chemically Amplified Resists with Reactivity of Acid Generators for Chemically Amplified Resists with Low-Energy Electrons Atsuro Nakano, Takahiro Kozawa, Seiichi Tagawa, Tomasz Szreder, James F. Wishart, Toshiyuki Kai and Tsutomu Shimokawa Jpn. J. Appl. Phys., 45, L197-L200 (2006). [Find paper at the Japanese Journal of Applied Physics] Abstract: In chemically amplified resists for ionizing radiations such as electron beams and extreme ultraviolet (EUV), low-energy electrons play an important role in the pattern formation processes. The reactivity of acid generators with low-energy electrons was evaluated using solvated electrons in tetrahydrofuran, which were generated by a pulsed electron beam. The rate constants of acid generators with the solvated electrons ranged from 0.6 to 1.9 x 1011 M-1s-1

492

TFTR Motor Generator  

SciTech Connect

A general description is given of 475 MVA pulsed motor generators for TFTR at Princeton Plasma Physics Laboratory. Two identical generators operating in parallel are capable of supplying 950 MVA for an equivalent square pulse of 6.77 seconds and 4,500 MJ at 0.7 power factor to provide the energy for the pulsed electrical coils and heating system for TFTR. The description includes the operational features of the 15,000 HP wound rotor motors driving each generator with its starting equipment and cycloconverter for controlling speed, power factor, and regulating line voltage during load pulsing where the generator speed changes from 87.5 to 60 Hz frequency variation to provide the 4,500 MJ or energy. The special design characteristics such as fatigue stress calculations for 10/sup 6/ cycles of operation, forcing factor on exciter to provide regulation, and low generator impedance are reviewed.

Murray, J.G.; Bronner, G.; Horton, M.