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1

INNOVATIVE CONCEPTS FOR ON-LINE SYNCHRONOUS GENERATOR PARAMETER ESTIMATION  

E-Print Network [OSTI]

and other routine power engineering studies. These studies are critical for the operation of the power temperature, magnetic saturation, and coupling between the generator and external systems. The method proposed and on a simplified synchronous generator model. The method is developed to be used with a Visual C++ engine

2

Distributed Dynamic State Estimator, Generator Parameter Estimation and Stability Monitoring Demonstration  

SciTech Connect (OSTI)

This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to “play back” disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with “play back” capability.

Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton

2013-12-31T23:59:59.000Z

3

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

2013-10-22T23:59:59.000Z

4

A Monte Carlo study of the distribution of parameter estimators in a dual exponential decay model  

E-Print Network [OSTI]

inspired me to overcome several problems in preparing this paper. TABLE OF CONTENTS Chapter I. INTRODUCTION II, PROCEDURE Selecting Representative Parameters Generating Sample Curves Obtaining the Parameter Estimates 3 3 4 III, ANALYSIS... Type I Parameter Estimates 3. Set-3 Type I Parameter Estimates 4. Set-3A Type I Parameter Estimates 5. Summary of Chi-square Goodness of Fit Test 6. Set-1 Type II Parameter Estimates 7. Set-2 Type II Parameter Estimates 8. Set-3 Type II Parameter...

Garcia, Raul

1969-01-01T23:59:59.000Z

5

Parameter estimation in ordinary differential equations  

E-Print Network [OSTI]

The parameter estimation problem or the inverse problem of ordinary differential equations is prevalent in many process models in chemistry, molecular biology, control system design and many other engineering applications. It concerns the re...

Ng, Chee Loong

2004-09-30T23:59:59.000Z

6

PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING  

E-Print Network [OSTI]

on grand challenge problems. In today's petroleum industry, reservoir simulators are routinely usedPARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING R.E. Ewing, M.S. Pilant, J.G. Wade in the model, the numerical discretization used, and the solution algorithms employed. Parameter identification

Ewing, Richard E.

7

Frequency tracking and parameter estimation for robust quantum state estimation  

SciTech Connect (OSTI)

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

8

New approaches to estimation of magnetotelluric parameters  

SciTech Connect (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

9

SWOT Satellite Mission: Combined State Parameter Estimation  

E-Print Network [OSTI]

river basins LISFLOOD-FP, a raster- based inundation model Based on a 1-D kinematic wave equation, 27 February 2008 #12;2 Outline Surface Water Ocean Topography (SWOT) satellite mission The state-parameter estimation problem Data assimilation experiments ­ Water depth ­ Discharge ­ Channel width ­ Roughness

Washington at Seattle, University of

10

Modeling and Parameter Estimation of Interpenetrating  

E-Print Network [OSTI]

Modeling and Parameter Estimation of Interpenetrating Polymer Network ProcessPolymer Network, PA 15213 #12;Interpenetrating Polymer Network Processp g y Monomer Initiator P l i ti tPolymerization reactor Seed particle Monomer droplet Aqueous mediaq Seed Polymer A Monomer B Seed Polymer A 2Fig 1. Seed

Grossmann, Ignacio E.

11

Cosmological parameter estimation: impact of CMB aberration  

SciTech Connect (OSTI)

The peculiar motion of an observer with respect to the CMB rest frame induces an apparent deflection of the observed CMB photons, i.e. aberration, and a shift in their frequency, i.e. Doppler effect. Both effects distort the temperature multipoles a{sub lm}'s via a mixing matrix at any l. The common lore when performing a CMB based cosmological parameter estimation is to consider that Doppler affects only the l = 1 multipole, and neglect any other corrections. In this paper we reconsider the validity of this assumption, showing that it is actually not robust when sky cuts are included to model CMB foreground contaminations. Assuming a simple fiducial cosmological model with five parameters, we simulated CMB temperature maps of the sky in a WMAP-like and in a Planck-like experiment and added aberration and Doppler effects to the maps. We then analyzed with a MCMC in a Bayesian framework the maps with and without aberration and Doppler effects in order to assess the ability of reconstructing the parameters of the fiducial model. We find that, depending on the specific realization of the simulated data, the parameters can be biased up to one standard deviation for WMAP and almost two standard deviations for Planck. Therefore we conclude that in general it is not a solid assumption to neglect aberration in a CMB based cosmological parameter estimation.

Catena, Riccardo [Institut für Theoretische Physik, Friedrich-Hund-Platz 1, 37077 Göttingen (Germany); Notari, Alessio, E-mail: riccardo.catena@theorie.physik.uni-goettingen.de, E-mail: notari@ffn.ub.es [Departament de Física Fondamental i Institut de Ciéncies del Cosmos, Universitat de Barcelona, Martí i Franqués 1, 08028 Barcelona (Spain)

2013-04-01T23:59:59.000Z

12

adaptive parameter estimation: Topics by E-print Network  

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

Tokamak Heat Computer Technologies and Information Sciences Websites Summary: . Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation,...

13

Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior  

E-Print Network [OSTI]

variable-speed wind turbines in grid stability studies. Often the values for model parameters are poorly parameters on the dynamic behavior of wind turbine generators. A parameter estimation process is then used [1], [2]. Accordingly, the impact of wind turbine generators (WTGs) on power system dynamic

Hiskens, Ian A.

14

Adaptive Distributed Parameter and Input Estimation in Plasma Tokamak Heat  

E-Print Network [OSTI]

. Keywords: Thermonuclear fusion, distributed parameter systems, input state and parameter estimation, adaptive infinite-dimensional estimation, Galerkin method 1. INTRODUCTION In a controlled thermonuclear fusion reactor, the plasma thermal diffusivity and heating energy play an important role

Boyer, Edmond

15

System and method for motor parameter estimation  

DOE Patents [OSTI]

A system and method for determining unknown values of certain motor parameters includes a motor input device connectable to an electric motor having associated therewith values for known motor parameters and an unknown value of at least one motor parameter. The motor input device includes a processing unit that receives a first input from the electric motor comprising values for the known motor parameters for the electric motor and receive a second input comprising motor data on a plurality of reference motors, including values for motor parameters corresponding to the known motor parameters of the electric motor and values for motor parameters corresponding to the at least one unknown motor parameter value of the electric motor. The processor determines the unknown value of the at least one motor parameter from the first input and the second input and determines a motor management strategy for the electric motor based thereon.

Luhrs, Bin; Yan, Ting

2014-03-18T23:59:59.000Z

16

Parameter estimation with Sandage-Loeb test  

E-Print Network [OSTI]

The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of $2\\lesssim z\\lesssim 5$ by detecting redshift drift in the spectra of Lyman-$\\alpha$ forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the $\\Lambda$CDM, the $w$CDM, and the $w_0w_a$CDM models. To avoid the potential inconsistency with other observational data, we take the best-fitting dark energy model constrained by the current observations as the fiducial model to produce 30 mock SL test data. The SL test data provide an important supplement to the other dark energy probes, since they are extremely helpful in breaking the existing parameter degeneracies. We show that the strong degeneracy between $\\Omega_m$ and $H_0$ in all the three dark energy models is well broken by the SL test. Compared to the current combined data of type Ia supernovae, baryon acoustic oscillation, cosmic microwave background, and Hubble constant, the 30-yr observation of SL test could improve the constraints on $\\Omega_m$ and $H_0$ by more than 60\\% for all the three models. But the SL test can only moderately improve the constraint on the equation of state of dark energy. We show that a 30-yr observation of SL test could help improve the constraint on constant $w$ by about 25\\%, and improve the constraints on $w_0$ and $w_a$ by about 20\\% and 15\\%, respectively. We also quantify the constraining power of the SL test in the future high-precision joint geometric constraints on dark energy. The mock future supernova and baryon acoustic oscillation data are simulated based on the space-based project JDEM. We find that the 30-yr observation of SL test would help improve the measurement precision of $\\Omega_m$, $H_0$, and $w_a$ by more than 70\\%, 20\\%, and 60\\%, respectively, for the $w_0w_a$CDM model.

Jia-Jia Geng; Jing-Fei Zhang; Xin Zhang

2014-11-28T23:59:59.000Z

17

Analysis of neutron scattering data: Visualization and parameter estimation  

SciTech Connect (OSTI)

Traditionally, small-angle neutron and x-ray scattering (SANS and SAXS) data analysis requires measurements of the signal and corrections due to the empty sample container, detector efficiency and time-dependent background. These corrections are then made on a pixel-by-pixel basis and estimates of relevant parameters (e.g., the radius of gyration) are made using the corrected data. This study was carried out in order to determine whether treatment of the detector efficiency and empty sample cell in a more statistically sound way would significantly reduce the uncertainties in the parameter estimators. Elements of experiment design are shortly discussed in this paper. For instance, we studied the way the time for a measurement should be optimally divided between the counting for signal, background and detector efficiency. In Section 2 we introduce the commonly accepted models for small-angle neutron and x-scattering and confine ourselves to the Guinier and Rayleigh models and their minor generalizations. The traditional approaches of data analysis are discussed only to the extent necessary to allow their comparison with the proposed techniques. Section 3 describes the main stages of the proposed method: visual data exploration, fitting the detector sensitivity function, and fitting a compound model. This model includes three additive terms describing scattering by the sampler, scattering with an empty container and a background noise. We compare a few alternatives for the first term by applying various scatter plots and computing sums of standardized squared residuals. Possible corrections due to smearing effects and randomness of estimated parameters are also shortly discussed. In Section 4 the robustness of the estimators with respect to low and upper bounds imposed on the momentum value is discussed. We show that for the available data set the most accurate and stable estimates are generated by models containing double terms either of Guinier's or Rayleigh's type. The optimal partitioning of the total experimental time between measuring various signals is discussed in Section 5. We applied a straightforward optimization instead of some special experimental techniques because of the numerical simplicity of the corresponding problem. As a criterion of optimality we selected the variance of the gyration radius maximum likelihood estimator. The statistical background of the proposed approach is given in the appendix. The properties of the maximum likelihood estimators and the corresponding iterated estimator together with its possible numerical realization are presented in subsection A.1. In subsection A.2 we prove that the use of a compound model leads to more efficient estimators than a stage-wise analysis of different components entering that model.

Beauchamp, J.J.; Fedorov, V.; Hamilton, W.A.; Yethiraj, M.

1998-09-01T23:59:59.000Z

18

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

19

Standard errors of parameter estimates in the ETAS model  

E-Print Network [OSTI]

1 Standard errors of parameter estimates in the ETAS model Abstract Point process models of seismic catalogs and in short- term earthquake forecasting. The standard errors of parameter estimates of conventional standard error estimates based on the Hessian matrix of the log- likelihood function of the ETAS

Schoenberg, Frederic Paik (Rick)

20

Parameter estimation for energy balance models with memory  

E-Print Network [OSTI]

Parameter estimation for energy balance models with memory By Lionel Roques1,*, Micka¨el D parameter estimation for one-dimensional energy balance models with mem- ory (EBMMs) given localized estimate is still possible in certain cases. Keywords: age dating; Bayesian inference; energy balance model

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

Lognormal parameter estimation with censored data  

E-Print Network [OSTI]

[1966] reopened. the case for maximum-likcli- hooc. by exploring iterative echniques i'or the solutions to the maxim~. -likelihood equst, iona for truncated ani ccrsored samples. Tney noted. th. t although the local-msximim-likelihood estimates were... of expected biases for given parsmete. values. In addition, a +echnique is developed for the elimination oi' the bias in the maximum-likelihood estimators for a mu'tiparameter case. The latter two problem- have not pre- viously been discussed...

Zeis, Charles David

1970-01-01T23:59:59.000Z

22

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

23

Machine Learning ! ! ! ! ! Srihari Parameter Estimation for  

E-Print Network [OSTI]

· Bayesian Approach ­Thumbtack vs Coin Toss · Uniform Prior vs Beta Prior ­Multinomial · Dirichlet Prior 2 · Statistical estimation theory deals with Confidence Intervals ­E.g., in election polls 61 + 2 percent plan

24

Parameter estimation of vector controlled induction machine  

E-Print Network [OSTI]

that this method can be employed for sensorless speed estimation and can be applied to motors like synchronous reluctance machine. CHAPTER II DYNAMIC MODELING OF INDUCTION MACHINE The well-known steady state equivalent circuit of induction motor sometimes... response without updating. . . . . , Rotor time constant converging with the actual value. . . . . . 78 79 CHAPTER I INTRODUCTION The growth of industrial motor drives over the past 10 years has exceeded 25% which is an unprecedented leap if one...

Rahman, Tahmid Ur

2002-01-01T23:59:59.000Z

25

Parameter estimation for knowledge and diagnosis of electrical machines  

E-Print Network [OSTI]

Chapitre 1 Parameter estimation for knowledge and diagnosis of electrical machines Jean in "Control Methods for Electrical Machines, ISTE Ltd and John Wiley & Sons Inc (Ed.) (2009) 207-243" DOI : 10.1002/9780470611760 #12;Chapter 1 Parameter estimation for knowledge and diagnosis of electrical machines 1

Boyer, Edmond

26

Seismic shape parameters estimation and ground-roll suppression using  

E-Print Network [OSTI]

Seismic shape parameters estimation and ground-roll suppression using vector-sensor beamforming the problem of estimating the shape parameters of seismic wavefields in linear arrays. The purpose of the subsurface layers from the seismic wavefields registered by surface sensors. However, only the waves

Spagnolini, Umberto

27

Estimation of Parameters in Carbon Sequestration Models from Net Ecosystem  

E-Print Network [OSTI]

Estimation of Parameters in Carbon Sequestration Models from Net Ecosystem Exchange Data Luther in the context of a deterministic com- partmental carbon sequestration system. Sensitivity and approximation usefulness in the estimation of parameters within a compartmental carbon sequestration model. Previously we

White, Luther

28

Parameter estimation for agenda-based user simulation  

E-Print Network [OSTI]

This paper presents an agenda-based user simulator which has been extended to be trainable on real data with the aim of more closely modelling the complex rational behaviour exhibited by real users. The trainable part is formed by a set of random decision points that may be encountered during the process of receiving a system act and responding with a user act. A samplebased method is presented for using real user data to estimate the parameters that control these decisions. Evaluation results are given both in terms of statistics of generated user behaviour and the quality of policies trained with different simulators. Compared to a handcrafted simulator, the trained system provides a much better fit to corpus data and evaluations suggest that this better fit should result in improved dialogue performance. 1

Simon Keizer; Filip Jur?í?ek; François Mairesse; Blaise Thomson; Kai Yu; Steve Young

29

Estimating atmospheric parameters and reducing noise for multispectral imaging  

DOE Patents [OSTI]

A method and system for estimating atmospheric radiance and transmittance. An atmospheric estimation system is divided into a first phase and a second phase. The first phase inputs an observed multispectral image and an initial estimate of the atmospheric radiance and transmittance for each spectral band and calculates the atmospheric radiance and transmittance for each spectral band, which can be used to generate a "corrected" multispectral image that is an estimate of the surface multispectral image. The second phase inputs the observed multispectral image and the surface multispectral image that was generated by the first phase and removes noise from the surface multispectral image by smoothing out change in average deviations of temperatures.

Conger, James Lynn

2014-02-25T23:59:59.000Z

30

Design of Optimal Experiments for Parameter Estimation of Microalgae  

E-Print Network [OSTI]

. Keywords: biofuel, microalgae, model calibration, optimal control, optimal experiment design 1 candidate for biofuel production in large scale cultivation is a difficult task since microalgae growthDesign of Optimal Experiments for Parameter Estimation of Microalgae Growth Models Rafael Mu

Paris-Sud XI, Université de

31

Active Estimation of Object Dynamics Parameters with Tactile Sensors   

E-Print Network [OSTI]

The estimation of parameters that affect the dynamics of objects—such as viscosity or internal degrees of freedom—is an important step in autonomous and dexterous robotic manipulation of objects. However, accurate and ...

Saal, Hannes; Ting, Jo-Anne; Vijayakumar, Sethu

2010-01-01T23:59:59.000Z

32

Adaptive Online Battery Parameters/SOC/Capacity Co-estimation  

E-Print Network [OSTI]

and even storage ageing of the battery. Following our previous publications in which we developed an onlineAdaptive 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

Chow, Mo-Yuen

33

On Parameter Estimation of Urban Storm-Water Runoff Model  

E-Print Network [OSTI]

On Parameter Estimation of Urban Storm-Water Runoff Model Pedro Avellaneda1 ; Thomas P. Ballestero2 of these parameters are provided for modeling purposes and other urban storm-water quality applications. A normal runoff models are commonly used for urban storm-water quality applications DeCoursey 1985; Tsi- hrintzis

34

Parameter Estimation of Gravitational Waves from Precessing BH-NS Inspirals with higher harmonics  

E-Print Network [OSTI]

Precessing black hole-neutron star (BH-NS) binaries produce a rich gravitational wave signal, encoding the binary's nature and inspiral kinematics. Using the lalinference\\_mcmc Markov-chain Monte Carlo parameter estimation code, we use two fiducial examples to illustrate how the geometry and kinematics are encoded into the modulated gravitational wave signal, using coordinates well-adapted to precession. Even for precessing binaries, we show the performance of detailed parameter estimation can be estimated by "effective" estimates: comparisons of a prototype signal with its nearest neighbors, adopting a fixed sky location and idealized two-detector network. We use detailed and effective approaches to show higher harmonics provide nonzero but small local improvement when estimating the parameters of precessing BH-NS binaries. That said, we show higher harmonics can improve parameter estimation accuracy for precessing binaries ruling out approximately-degenerate source orientations. Our work illustrates quantities gravitational wave measurements can provide, such as reliable component masses and the precise orientation of a precessing short gamma ray burst progenitor relative to the line of sight. "Effective" estimates may provide a simple way to estimate trends in the performance of parameter estimation for generic precessing BH-NS binaries in next-generation detectors. For example, our results suggest that the orbital chirp rate, precession rate, and precession geometry are roughly-independent observables, defining natural variables to organize correlations in the high-dimensional BH-NS binary parameter space.

R. O'Shaughnessy; B. Farr; E. Ochsner; H. S. Cho; V. Raymond; C. Kim; C. H. Lee

2014-04-11T23:59:59.000Z

35

Robust quantum parameter estimation: Coherent magnetometry with feedback  

SciTech Connect (OSTI)

We describe the formalism for optimally estimating and controlling both the state of a spin ensemble and a scalar magnetic field with information obtained from a continuous quantum limited measurement of the spin precession due to the field. The full quantum parameter estimation model is reduced to a simplified equivalent representation to which classical estimation and control theory is applied. We consider both the tracking of static and fluctuating fields in the transient and steady-state regimes. By using feedback control, the field estimation can be made robust to uncertainty about the total spin number.

Stockton, John K.; Geremia, J.M.; Doherty, Andrew C.; Mabuchi, Hideo [Norman Bridge Laboratory of Physics, Mail Code 12-33, California Institute of Technology, Pasadena, California 91125 (United States)

2004-03-01T23:59:59.000Z

36

Optimal quantum multi-parameter estimation and application to dipole- and exchange-coupled qubits  

E-Print Network [OSTI]

We consider the problem of quantum multi-parameter estimation with experimental constraints and formulate the solution in terms of a convex optimization. Specifically, we outline an efficient method to identify the optimal strategy for estimating multiple unknown parameters of a quantum process and apply this method to a realistic example. The example is two electron spin qubits coupled through the dipole and exchange interactions with unknown coupling parameters -- explicitly, the position vector relating the two qubits and the magnitude of the exchange interaction are unknown. This coupling Hamiltonian generates a unitary evolution which, when combined with arbitrary single-qubit operations, produces a universal set of quantum gates. However, the unknown parameters must be known precisely to generate high-fidelity gates. We use the Cram\\'er-Rao bound on the variance of a point estimator to construct the optimal series of experiments to estimate these free parameters, and present a complete analysis of the optimal experimental configuration. Our method of transforming the constrained optimal parameter estimation problem into a convex optimization is powerful and widely applicable to other systems.

Kevin C. Young; Mohan Sarovar; Robert Kosut; K. Birgitta Whaley

2009-06-04T23:59:59.000Z

37

On the empirical statistics of parameter estimates in parametric modeling  

E-Print Network [OSTI]

FOR ESTIMATING HIGHLY DAMPED SINUSOIDAL SIGNALS IN ADDTIVE NOISE Page 4. 1 Introduction 4. 2 Eigenvector Method 4. 3 Weighted Least Squares Estimation of Damped Sinusoids Based on. Noise-Reduced Data 4. 3. 1 Noise Reduction with SVD 4. 3. 2 Weighted Least... Squares Method 4. 3. 3 Experimental Results 55 59 63 63 65 68 V CONCLUSIONS AND POSSIBLE EXTENSIONS REFERENCES 72 VITA 77 LIST OF TABLES Table 2. 1 The sample biases of the parameter estimates using Burg lattice method, in model one...

Zhu, Yao

1988-01-01T23:59:59.000Z

38

A continuous traffic study - estimation of population parameters and the variance of the estimated parameters  

E-Print Network [OSTI]

are pre- ;ected. The operating ratio is defined and its use for regulatory pur- poses discussed. Procedures for the estimation of operating ratios from CTS and cost data are explained. An approximate formula for the variance of the ratio of two random... 31 TEXAS INTRASTATE TRAFFIC 1967 (Operating Ratio by Actual Weight of Shipment). . 32 TEXAS INTRASTATE TRAFFIC 1967 (Operating Ratio by Number Miles Shipm nt Moved) 33 CHAPTER I STATEMENT QF THE PRGBLEM 1. 1 Introduction The Southwestern...

Dresser, George Brayton

1969-01-01T23:59:59.000Z

39

Estimation of steady-state basic parameters of stars  

E-Print Network [OSTI]

From a minimum of total energy of celestial bodies, their basic parameters are obtained. The steady-state values of the mass, radius, and temperature of stars and white dwarfs, as well as masses of pulsars are calculated. The luminosity and giromagnetic ratio of celestial bodies are estimated. All the obtained values are in a satisfactory agreement with observation data.

B. V. Vasiliev

2000-03-30T23:59:59.000Z

40

PARAMETER ESTIMATION BASED MODELS OF WATER SOURCE HEAT PUMPS  

E-Print Network [OSTI]

PARAMETER ESTIMATION BASED MODELS OF WATER SOURCE HEAT PUMPS By HUI JIN Bachelor of Science validation of the water-to-air heat pump model. It's hard to find any words to express the thanks to my BASED MODELS OF WATER SLOURCE HEAT PUMPS Thesis Approved: Thesis Adviser Dean of the Graduate College ii

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

Estimating the Parameters of the Marshall Olkin Bivariate Weibull  

E-Print Network [OSTI]

Estimating the Parameters of the Marshall Olkin Bivariate Weibull Distribution by EM Algorithm Debasis Kundu & Arabin Kumar Dey Abstract In this paper we consider the Marshall-Olkin bivariate Weibull distribution. The Marshall-Olkin bivariate Weibull distribution is a singular distribution, whose both

Kundu, Debasis

42

Camera Parameters Estimation from Hand-labelled Sun Sositions  

E-Print Network [OSTI]

Camera Parameters Estimation from Hand-labelled Sun Sositions in Image Sequences Jean the sun is visible in an image sequence. The technique requires a user to label the position of the sun Results on Real Data 7 6 Summary 8 #12;#12;1 1 Introduction In this document, we show that if the sun

Treuille, Adrien

43

High-Speed Parameter Estimation Algorithms For Nonlinear Smart Materials  

E-Print Network [OSTI]

High-Speed Parameter Estimation Algorithms For Nonlinear Smart Materials Jon M. Ernstberger with experimental data. 1. INTRODUCTION Smart materials exhibit unique actuator and sensor capabilities for a range of aerospace, aeronautic, indus- trial and DoD applications. Applications of smart materials include

44

Parameter estimation of permanent magnet stepper motors without mechanical sensors  

E-Print Network [OSTI]

.1016/j.conengprac.2014.01.015 #12;1. Introduction Permanent Magnet Stepper Motors (PMSM's) are widely used in indus- try for position control, especially in manufacturing applications. PMSM's are more-time adaptation, and fault detection. The estimation of PMSM parameters was studied in (Blauch et al., 1993), 2

Paris-Sud XI, Université de

45

Parameter estimation of quantum processes using convex optimization  

E-Print Network [OSTI]

A convex optimization based method is proposed for quantum process tomography, in the case of known channel model structure, but unknown channel parameters. The main idea is to select an affine parametrization of the Choi matrix as a set of optimization variables, and formulate a semidefinite programming problem with a least squares objective function. Possible convex relations between the optimization variables are also taken into account to improve the estimation. Simulation case studies show, that the proposed method can significantly increase the accuracy of the parameter estimation, if the channel model structure is known. Beside the convex part, the determination of the channel parameters from the optimization variables is a nonconvex step in general. In the case of Pauli channels however, the method reduces to a purely convex optimization problem, allowing to obtain a globally optimal solution.

Gábor Balló; Katalin M. Hangos

2010-04-29T23:59:59.000Z

46

Force Field Parameter Estimation of Functional Perfluoropolyether Lubricants  

SciTech Connect (OSTI)

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

47

Force Field Parameter Estimation of Functional Perfluoropolyether Lubricants  

SciTech Connect (OSTI)

The head disk interface in a hard disk drive can be considered to be 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 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; Jhon, M.S.; Biegler, L.T.

2011-01-01T23:59:59.000Z

48

Bounds on Quantum Multiple-Parameter Estimation with Gaussian State  

E-Print Network [OSTI]

We investigate the quantum Cramer-Rao bounds on the joint multiple-parameter estimation with the Gaussian state as a probe. We derive the explicit right logarithmic derivative and symmetric logarithmic derivative operators in such a situation. We compute the corresponding quantum Fisher information matrices, and find that they can be fully expressed in terms of the mean displacement and covariance matrix of the Gaussian state. Finally, we give some examples to show the utility of our analytical results.

Yang Gao; Hwang Lee

2014-07-28T23:59:59.000Z

49

Accelerated gravitational-wave parameter estimation with reduced order modeling  

E-Print Network [OSTI]

Inferring the astrophysical parameters of coalescing compact binaries is a key science goal of the upcoming advanced LIGO-Virgo gravitational-wave detector network and, more generally, gravitational-wave astronomy. However, current parameter estimation approaches for such scenarios can lead to computationally intractable problems in practice. Therefore there is a pressing need for new, fast and accurate Bayesian inference techniques. In this letter we demonstrate that a reduced order modeling approach enables rapid parameter estimation studies. By implementing a reduced order quadrature scheme within the LIGO Algorithm Library, we show that Bayesian inference on the 9-dimensional parameter space of non-spinning binary neutron star inspirals can be sped up by a factor of 30 for the early advanced detectors' configurations. This speed-up will increase to about $150$ as the detectors improve their low-frequency limit to 10Hz, reducing to hours analyses which would otherwise take months to complete. Although these results focus on gravitational detectors, the techniques are broadly applicable to any experiment where fast Bayesian analysis is desirable.

Priscilla Canizares; Scott E. Field; Jonathan Gair; Vivien Raymond; Rory Smith; Manuel Tiglio

2015-01-27T23:59:59.000Z

50

Likelihood transform: making optimization and parameter estimation easier  

E-Print Network [OSTI]

Parameterized optimization and parameter estimation is of great importance in almost every branch of modern science, technology and engineering. A practical issue in the problem is that when the parameter space is large and the available data is noisy, the geometry of the likelihood surface in the parameter space will be complicated. This makes searching and optimization algorithms computationally expensive, sometimes even beyond reach. In this paper, we define a likelihood transform which can make the structure of the likelihood surface much simpler, hence reducing the intrinsic complexity and easing optimization significantly. We demonstrate the properties of likelihood transform by apply it to a simplified gravitational wave chirp signal search. For the signal with an signal-to-noise ratio 20, likelihood transform has made a deterministic template-based search possible for the first time, which turns out to be 1000 times more efficient than an exhaustive grid- based search. The method in principle can be applied to other problems in other fields as the spirit of parameterized optimization and parameter estimation problem is the same.

Yan Wang

2014-02-25T23:59:59.000Z

51

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

SciTech Connect (OSTI)

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

52

Error estimates and specification parameters for functional renormalization  

SciTech Connect (OSTI)

We present a strategy for estimating the error of truncated functional flow equations. While the basic functional renormalization group equation is exact, approximated solutions by means of truncations do not only depend on the choice of the retained information, but also on the precise definition of the truncation. Therefore, results depend on specification parameters that can be used to quantify the error of a given truncation. We demonstrate this for the BCS–BEC crossover in ultracold atoms. Within a simple truncation the precise definition of the frequency dependence of the truncated propagator affects the results, indicating a shortcoming of the choice of a frequency independent cutoff function.

Schnoerr, David [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); Boettcher, Igor, E-mail: I.Boettcher@thphys.uni-heidelberg.de [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); Pawlowski, Jan M. [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany) [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany); ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung mbH, D-64291 Darmstadt (Germany); Wetterich, Christof [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)] [Institute for Theoretical Physics, University of Heidelberg, D-69120 Heidelberg (Germany)

2013-07-15T23:59:59.000Z

53

Estimation of the parameters in the generalized gamma distribution  

E-Print Network [OSTI]

are printed out. C PROGRAM } ~ ESTIMATION OF PARAMETERS OF GENERALIZED GAMMA DISTRIBUTION C DIMENSION XO(500 ) eEPT(500) eFREQ (500) ePT& 500) ekF(500) ~ XN(500 ') DI MENS ION X & 2e 500 ) ~ S ( 2e 3) e Y (3 ~ '500 ) e TFREQ (3e 500 ) ~ SUMX (2 ) READ (5 e...+I )/TFREQ(2? I I ) ) Y C 3 ? I - I ) ~ALOG ( TFREO I 3 ~ I+I ) /TFREQ (3 ~ 1-1 ) ) WRITE(6?652) 81 L~LI ~ I 0~EXP(ALPHA) OS~OCH)2 ~ WRITE(6 ~ 300) FORMATtlHI ~ 46X?27HGENERALIZED GAMMA VARIABLES)r WRITE(6?301 ) (XN( J) ?J?:I )N) FORMAT( I 0 (9X? IOFI...

Collins, Claude Ann

2012-06-07T23:59:59.000Z

54

E-Print Network 3.0 - aircraft parameter estimation Sample Search...  

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

trajectory prediction generates estimated times of arrival (ETA) for all aircraft to the scheduling control... prediction algorithms provide precise estimates of the future path...

55

Parameter estimation of coupled water and energy balance models based on stationary constraints of surface states  

E-Print Network [OSTI]

[1] We use a conditional averaging approach to estimate the parameters of a land surface water and energy balance model and then use the estimated parameters to partition net radiation into latent, sensible, and ground ...

Sun, Jian

56

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

SciTech Connect (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

57

Unifying parameter estimation and the Deutsch-Jozsa algorithm for continuous variables  

E-Print Network [OSTI]

We reveal a close relationship between quantum metrology and the Deutsch-Jozsa algorithm on continuous variable quantum systems. We develop a general procedure, characterized by two parameters, that unifies parameter estimation and the Deutsch-Jozsa algorithm. Depending on which parameter we keep constant, the procedure implements either the parameter estimation protocol or the Deutsch-Jozsa algorithm. The parameter estimation part of the procedure attains the Heisenberg limit and is therefore optimal. Due to the use of approximate normalizable continuous variable eigenstates the Deutsch-Jozsa algorithm is probabilistic. The procedure estimates a value of an unknown parameter and solves the Deutsch-Jozsa problem without the use of any entanglement.

Marcin Zwierz; Carlos A. Pérez-Delgado; Pieter Kok

2010-08-19T23:59:59.000Z

58

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

2011-12-29T23:59:59.000Z

59

UWB channel estimation using new generating TR transceivers  

DOE Patents [OSTI]

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

60

Estimating crop net primary production using inventory data and MODIS-derived parameters  

SciTech Connect (OSTI)

National estimates of spatially-resolved cropland net primary production (NPP) are needed for diagnostic and prognostic modeling of carbon sources, sinks, and net carbon flux. Cropland NPP estimates that correspond with existing cropland cover maps are needed to drive biogeochemical models at the local scale and over national and continental extents. Existing satellite-based NPP products tend to underestimate NPP on croplands. A new Agricultural Inventory-based Light Use Efficiency (AgI-LUE) framework was developed to estimate individual crop biophysical parameters for use in estimating crop-specific NPP. The method is documented here and evaluated for corn and soybean crops in Iowa and Illinois in years 2006 and 2007. The method includes a crop-specific enhanced vegetation index (EVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS), shortwave radiation data estimated using Mountain Climate Simulator (MTCLIM) algorithm and crop-specific LUE per county. The combined aforementioned variables were used to generate spatially-resolved, crop-specific NPP that correspond to the Cropland Data Layer (CDL) land cover product. The modeling framework represented well the gradient of NPP across Iowa and Illinois, and also well represented the difference in NPP between years 2006 and 2007. Average corn and soybean NPP from AgI-LUE was 980 g C m-2 yr-1 and 420 g C m-2 yr-1, respectively. This was 2.4 and 1.1 times higher, respectively, for corn and soybean compared to the MOD17A3 NPP product. Estimated gross primary productivity (GPP) derived from AgI-LUE were in close agreement with eddy flux tower estimates. The combination of new inputs and improved datasets enabled the development of spatially explicit and reliable NPP estimates for individual crops over large regional extents.

Bandaru, Varaprasad; West, Tristram O.; Ricciuto, Daniel M.; Izaurralde, Roberto C.

2013-06-03T23:59:59.000Z

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.


61

Accelerated maximum likelihood parameter estimation for stochastic biochemical systems  

E-Print Network [OSTI]

as: Daigle et al. : Accelerated maximum likelihood parame-Gillespie DT: Approximate accelerated stochastic simulationARTICLE Open Access Accelerated maximum likelihood parameter

Daigle, Bernie J; Roh, Min K; Petzold, Linda R; Niemi, Jarad

2012-01-01T23:59:59.000Z

62

Global neutrino parameter estimation using Markov Chain Monte Carlo  

E-Print Network [OSTI]

We present a Markov Chain Monte Carlo global analysis of neutrino parameters using both cosmological and experimental data. Results are presented for the combination of all presently available data from oscillation experiments, cosmology, and neutrinoless double beta decay. In addition we explicitly study the interplay between cosmological, tritium decay and neutrinoless double beta decay data in determining the neutrino mass parameters. We furthermore discuss how the inference of non-neutrino cosmological parameters can benefit from future neutrino mass experiments such as the KATRIN tritium decay experiment or neutrinoless double beta decay experiments.

Steen Hannestad

2007-10-10T23:59:59.000Z

63

Performance bounds on matched-field methods for source localization and estimation of ocean environmental parameters  

E-Print Network [OSTI]

Matched-field methods concern estimation of source location and/or ocean environmental parameters by exploiting full wave modeling of acoustic waveguide propagation. Typical estimation performance demonstrates two fundamental ...

Xu, Wen, 1967-

2001-01-01T23:59:59.000Z

64

Parameter Estimation of Complex Systems from Sparse and Noisy Data  

E-Print Network [OSTI]

) which calculates the average sensitivity over an interval by computing sensitivity at several points in the parameter space; (iii) a sampling-based method (Hornberger and Spear, 1981; Iman et al., 1981), which computes a probabilistic-based mapping...

Chu, Yunfei

2011-02-22T23:59:59.000Z

65

Sensitivity analysis of aquifer parameter estimations based on the Laplace equation with linearized boundary conditions  

E-Print Network [OSTI]

boundary conditions Jozsef Szilagyi Conservation and Survey Division, University of Nebraska analysis Citation: Szilagyi, J., Sensitivity analysis of aquifer parameter estimations based on the Laplace

Szilagyi, Jozsef

66

Estimating Building Simulation Parameters via Bayesian Structure Learning  

SciTech Connect (OSTI)

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

67

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

SciTech Connect (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

68

Nonlinear observer and parameter estimation for electropneumatic clutch  

E-Print Network [OSTI]

coefficient. General designs for nonlinear observer design are devel- oped for particular classes of nonlinear of estimate errors. They also consider a three-way proportional valve as con- trol valve while we consider on/off-solenoid valves. The presented observer in this paper is a deterministic observer with linear output

Johansen, Tor Arne

69

Parameter Estimation and Tracking in Physical Layer Network Coding  

E-Print Network [OSTI]

to the receiver at the relay node. Our approach will first jointly estimate the timing o sets and fading gains of both signals using a known pilot sequence sent by both transmitters in the beginning of the packet and then perform Maximum Likelihood detection...

Jain, Manish

2012-07-16T23:59:59.000Z

70

Integrated Estimation and Tracking of Performance Model Parameters with Autoregressive Trends  

E-Print Network [OSTI]

1 Integrated Estimation and Tracking of Performance Model Parameters with Autoregressive Trends Tao the model parameters can be tracked by an estimator such as a Kalman Filter, so that decisions can excessive cost (as is usually the case for the CPU time of a service). Because there may be significant

Woodside, C. Murray

71

Simultaneous parameter estimation and state smoothing of complex GARCH process in the presence of additive noise  

E-Print Network [OSTI]

Simultaneous parameter estimation and state smoothing of complex GARCH process in the presence 2010 Keywords: GARCH Parameter estimation Noisy data Maximum likelihood Recursive maximum likelihood a b s t r a c t ARCH and GARCH models have been used recently in model-based signal processing

Cohen, Israel

72

Parameter Estimation in Groundwater Flow Models with Distributed and Pointwise Observations*  

E-Print Network [OSTI]

Parameter Estimation in Groundwater Flow Models with Distributed and Pointwise Observations* Ben G concerning the least sqaures estimation of parameters in a groundwater flow model. As is typically the case­93­1­0153. #12; 1 Introduction Understanding the flow of groundwater is an important scientific and engineering

73

Simultaneous Estimation of Photometric Redshifts and SED Parameters: Improved Techniques and a Realistic Error Budget  

E-Print Network [OSTI]

We seek to improve the accuracy of joint galaxy photometric redshift estimation and spectral energy distribution (SED) fitting. By simulating different sources of uncorrected systematic errors, we demonstrate that if the uncertainties on the photometric redshifts are estimated correctly, so are those on the other SED fitting parameters, such as stellar mass, stellar age, and dust reddening. Furthermore, we find that if the redshift uncertainties are over(under)-estimated, the uncertainties in SED parameters tend to be over(under)-estimated by similar amounts. These results hold even in the presence of severe systematics and provide, for the first time, a mechanism to validate the uncertainties on these parameters via comparison with spectroscopic redshifts. We propose a new technique (annealing) to re-calibrate the joint uncertainties in the photo-z and SED fitting parameters without compromising the performance of the SED fitting + photo-z estimation. This procedure provides a consistent estimation of the mu...

Acquaviva, Viviana; Gawiser, Eric

2015-01-01T23:59:59.000Z

74

Estimation of parameters in the lognormal distribution with censored samples  

E-Print Network [OSTI]

Estimation Procedure 2. 3 Progressive Censoring. SIMULATION RESULTS 6 9 15 18 IV 3. 1 Verification of Tiku's Results 3. 2 Monte Carlo Simulation of Tiku's Method. 3. 3 Monte Carlo Simulation of the Quadratic Method 3. 4 Comparisons Between Methods... ~ and , the ratio of the ordinate f (Z'l f (Z) 1-F (Z) F (Z) and the probability integral of the standardized normal distribution, in (1. 2), (1. 3), and (1. 4) by the approximation u+Bx, where u and 8 are determined as i. n Tiku [9]. An iterative procedure...

Syler, Gerald Wayne

1969-01-01T23:59:59.000Z

75

Unifying parameter estimation and the Deutsch-Jozsa algorithm for continuous variables  

SciTech Connect (OSTI)

We reveal a close relationship between quantum metrology and the Deutsch-Jozsa algorithm on continuous-variable quantum systems. We develop a general procedure, characterized by two parameters, that unifies parameter estimation and the Deutsch-Jozsa algorithm. Depending on which parameter we keep constant, the procedure implements either the parameter-estimation protocol or the Deutsch-Jozsa algorithm. The parameter-estimation part of the procedure attains the Heisenberg limit and is therefore optimal. Due to the use of approximate normalizable continuous-variable eigenstates, the Deutsch-Jozsa algorithm is probabilistic. The procedure estimates a value of an unknown parameter and solves the Deutsch-Jozsa problem without the use of any entanglement.

Zwierz, Marcin; Perez-Delgado, Carlos A.; Kok, Pieter [Department of Physics and Astronomy, University of Sheffield, Hounsfield Road, Sheffield S3 7RH (United Kingdom)

2010-10-15T23:59:59.000Z

76

ASYMPTOTIC DISTRIBUTION OF ESTIMATES FOR A TIME-VARYING PARAMETER IN A HARMONIC MODEL  

E-Print Network [OSTI]

ASYMPTOTIC DISTRIBUTION OF ESTIMATES FOR A TIME-VARYING PARAMETER IN A HARMONIC MODEL WITH MULTIPLE harmonic regression models are useful for cases where harmonic parameters appear to be time-varying. Least, harmonic regression, signal processing, sound analysis, time-varying parameters, weighted least squares

Irizarry, Rafael A.

77

Computation of probabilistic hazard maps and source parameter estimation for volcanic ash transport and dispersion  

SciTech Connect (OSTI)

Volcanic ash advisory centers are charged with forecasting the movement of volcanic ash plumes, for aviation, health and safety preparation. Deterministic mathematical equations model the advection and dispersion of these plumes. However initial plume conditions – height, profile of particle location, volcanic vent parameters – are known only approximately at best, and other features of the governing system such as the windfield are stochastic. These uncertainties make forecasting plume motion difficult. As a result of these uncertainties, ash advisories based on a deterministic approach tend to be conservative, and many times over/under estimate the extent of a plume. This paper presents an end-to-end framework for generating a probabilistic approach to ash plume forecasting. This framework uses an ensemble of solutions, guided by Conjugate Unscented Transform (CUT) method for evaluating expectation integrals. This ensemble is used to construct a polynomial chaos expansion that can be sampled cheaply, to provide a probabilistic model forecast. The CUT method is then combined with a minimum variance condition, to provide a full posterior pdf of the uncertain source parameters, based on observed satellite imagery. The April 2010 eruption of the Eyjafjallajökull volcano in Iceland is employed as a test example. The puff advection/dispersion model is used to hindcast the motion of the ash plume through time, concentrating on the period 14–16 April 2010. Variability in the height and particle loading of that eruption is introduced through a volcano column model called bent. Output uncertainty due to the assumed uncertain input parameter probability distributions, and a probabilistic spatial-temporal estimate of ash presence are computed.

Madankan, R. [Department of Mechanical and Aerospace Engineering, University at Buffalo (United States); Pouget, S. [Department of Geology, University at Buffalo (United States); Singla, P., E-mail: psingla@buffalo.edu [Department of Mechanical and Aerospace Engineering, University at Buffalo (United States); Bursik, M. [Department of Geology, University at Buffalo (United States); Dehn, J. [Geophysical Institute, University of Alaska, Fairbanks (United States); Jones, M. [Center for Computational Research, University at Buffalo (United States); Patra, A. [Department of Mechanical and Aerospace Engineering, University at Buffalo (United States); Pavolonis, M. [NOAA-NESDIS, Center for Satellite Applications and Research (United States); Pitman, E.B. [Department of Mathematics, University at Buffalo (United States); Singh, T. [Department of Mechanical and Aerospace Engineering, University at Buffalo (United States); Webley, P. [Geophysical Institute, University of Alaska, Fairbanks (United States)

2014-08-15T23:59:59.000Z

78

Estimating home energy decision parameters for a hybrid energyYeconomy policy model  

E-Print Network [OSTI]

home building structures and choosing a space heating and conditioning system. Based on a discreteEstimating home energy decision parameters for a hybrid energyYeconomy policy model Mark Jaccard

79

Consequences of a multi-generation exposure to uranium on Caenorhabditis elegans life parameters and sensitivity  

E-Print Network [OSTI]

Consequences of a multi-generation exposure to uranium on Caenorhabditis elegans life parameters) Consequences of a multi- generation exposure to uranium on Caenorhabditis el- egans life parametersM of uranium. Several gen- erations were selected to assess growth, reproduction, survival, and dose

Boyer, Edmond

80

ESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0  

E-Print Network [OSTI]

ESTIMATING DAMPING PARAMETERS IN MULTI-DEGREE-OF-FREEDOM VIBRATION SYSTEMS BY BALANCING ENERGY0 B is outlined, involving a balance of dissipated and supplied energies over a cycle of pe- riodic vibration a damping estimation method based on the balance of energy. The idea is to compute the energy input per

Feeny, Brian

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

Estimation of regional aquifer parameters using baseflow recession data Victor M. Ponce  

E-Print Network [OSTI]

's (1963) theoretical model of groundwater flow to a stream is used to estimate regional aquifer parameters diffusiv- ity, hydrogeology, Mexico, Papaloapan. 1 #12;1. Introduction In groundwater hydrology basin. More recent studies have applied Rorabaugh's model to estimate groundwater recharge in diverse

Ponce, V. Miguel

82

Short communication Real-time estimation of lead-acid battery parameters: A dynamic  

E-Print Network [OSTI]

-charged and over-discharged; similarly, reliable SOH estimates enhance preventive maintenance and life cycle cost situations. © 2014 Elsevier B.V. All rights reserved. 1. Introduction Lead-acid batteries provide low-costShort communication Real-time estimation of lead-acid battery parameters: A dynamic data

Ray, Asok

83

Bayesian wavelet approaches for parameter estimation and change point detection in long memory processes  

E-Print Network [OSTI]

The main goal of this research is to estimate the model parameters and to detect multiple change points in the long memory parameter of Gaussian ARFIMA(p, d, q) processes. Our approach is Bayesian and inference is done on wavelet domain. Long memory...

Ko, Kyungduk

2005-11-01T23:59:59.000Z

84

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

SciTech Connect (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

85

Enhancing parameter precision of optimal quantum estimation by direct quantum feedback  

E-Print Network [OSTI]

Various schemes have been proposed to overcome the drawback of the decoherence on quantum-enhanced parameter estimation. Here we suggest an alternative method, quantum feedback, to enhance the parameter precision of optimal quantum estimation of a dissipative qubit by investigating its dynamics of quantum Fisher information. We find that compared with the case without feedback, the quantum Fisher information of the dissipative qubit in the case of feedback has a large maximum value in time evolution and a smaller decay rate in the long time.

Qiang Zheng; Li Ge; Yao Yao; Qi-jun Zhi

2015-03-01T23:59:59.000Z

86

Parameter estimation from flowing fluid temperature logging data in unsaturated fractured rock using multiphase inverse modeling  

SciTech Connect (OSTI)

A simple conceptual model has been recently developed for analyzing pressure and temperature data from flowing fluid temperature logging (FFTL) in unsaturated fractured rock. Using this conceptual model, we developed an analytical solution for FFTL pressure response, and a semianalytical solution for FFTL temperature response. We also proposed a method for estimating fracture permeability from FFTL temperature data. The conceptual model was based on some simplifying assumptions, particularly that a single-phase airflow model was used. In this paper, we develop a more comprehensive numerical model of multiphase flow and heat transfer associated with FFTL. Using this numerical model, we perform a number of forward simulations to determine the parameters that have the strongest influence on the pressure and temperature response from FFTL. We then use the iTOUGH2 optimization code to estimate these most sensitive parameters through inverse modeling and to quantify the uncertainties associated with these estimated parameters. We conclude that FFTL can be utilized to determine permeability, porosity, and thermal conductivity of the fracture rock. Two other parameters, which are not properties of the fractured rock, have strong influence on FFTL response. These are pressure and temperature in the borehole that were at equilibrium with the fractured rock formation at the beginning of FFTL. We illustrate how these parameters can also be estimated from FFTL data.

Mukhopadhyay, S.; Tsang, Y.; Finsterle, S.

2009-01-15T23:59:59.000Z

87

A forward microphysical model to predict the size-distribution parameters of laboratory generated (mimic)  

E-Print Network [OSTI]

A forward microphysical model to predict the size- distribution parameters of laboratory generated Interactions ­ Condensational Growth and Coagulation, Submitted for Indian Aerosol Science and Technology Microphysical Model for the UTLS (FAMMUS) is applied to predict the size-distribution parameters of laboratory

Oxford, University of

88

Method for estimation of gravitational-wave transient model parameters in frequency-time maps  

E-Print Network [OSTI]

A common technique for detection of gravitational-wave signals is searching for excess power in frequency-time maps of gravitational-wave detector data. In the event of a detection, model selection and parameter estimation will be performed in order to explore the properties of the source. In this paper, we develop a Bayesian statistical method for extracting model-dependent parameters from observed gravitational-wave signals in frequency-time maps. We demonstrate the method by recovering the parameters of model gravitational-wave signals added to simulated advanced LIGO noise. We also characterize the performance of the method and discuss prospects for future work.

Michael Coughlin; Nelson Christensen; Jonathan Gair; Shivaraj Kandhasamy; Eric Thrane

2014-04-17T23:59:59.000Z

89

Data-driven Techniques to Estimate Parameters in the Homogenized Energy Model for Shape Memory Alloys  

E-Print Network [OSTI]

, ferroelectric, and ferromagnetic materials. The energy origin of the model was originally investigated for SMA]. The original mod- els determined the equilibrium phase using the Gibbs energy to predict the mesoscopic (orData-driven Techniques to Estimate Parameters in the Homogenized Energy Model for Shape Memory

90

An hybrid ensemble based approach for process parameter estimation in offshore oil platforms  

E-Print Network [OSTI]

An hybrid ensemble based approach for process parameter estimation in offshore oil platforms Piero in offshore oil platforms. In particular, the difference between the theoretical value of the valve flow on real measurements performed on a number of similar offshore choke valves. 1. Introduction In this paper

Paris-Sud XI, Université de

91

New Approaches for Calculating Safety Parameters and Estimating Hazard Severity for Cumene Hydroperoxide  

E-Print Network [OSTI]

runaway reactions via severity, and then introduced a quick and cost-effective method to estimate safety the same safety parameters for cumene hydroperoxide (CHP) as a typical reactive chemical. This is expected Gujarat, India Hydrogen Explosion 5/35 1978 S

Chen, Shu-Ching

92

MODAL PARAMETER ESTIMATION FOR OPERATIONAL WIND TURBINES Emilio Di Lorenzo1, 2  

E-Print Network [OSTI]

MODAL PARAMETER ESTIMATION FOR OPERATIONAL WIND TURBINES Emilio Di Lorenzo1, 2 , Simone Manzato1 Claudio 21, 80125 Naples, Italy emilio.dilorenzo@lmsintl.com ABSTRACT Wind turbines are time. This assumption holds in the case of parked wind turbines, but not in the case of operating wind turbines

Boyer, Edmond

93

Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models  

E-Print Network [OSTI]

Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models and characterize capacity fade in lithium-ion batteries. As a comple- ment to approaches to mathematically model been made in developing lithium-ion battery models that incor- porate transport phenomena

Subramanian, Venkat

94

PEAS: A toolbox to assess the accuracy of estimated parameters in environmental models  

E-Print Network [OSTI]

Checchi, Elisabetta Giusti, Stefano Marsili-Libelli* Department of Systems and Computers, University, in addition to parameter estimation, such as error function plotting, trajectory sensitivity, Monte Carlo regions are computed and a confidence test is pro- duced. The Monte Carlo analysis is available

95

Estimating ProteinLigand Binding Free Energy: Atomic Solvation Parameters for Partition Coefficient and  

E-Print Network [OSTI]

on the assumption that the overall solvation free energy is the sum of all atomic solvation contributions: Gs iAi (1Estimating Protein­Ligand Binding Free Energy: Atomic Solvation Parameters for Partition Coefficient and Solvation Free Energy Calculation Jianfeng Pei,1,2 Qi Wang,1,2 Jiaju Zhou,3 and Luhua Lai1

Luhua, Lai

96

Parameter estimation in commodity markets: a filtering approach Robert J. Elliott  

E-Print Network [OSTI]

as crude oil) using futures price data. A one-factor model for the spot commodity price is used the implementation of commodity market models is that one or more of the factors may be unobservable. In practice the model parameters to market data and to estimate the time series of the unobservable factors. The method

Hyndman, Cody

97

AN EMG-DRIVEN MUSCULOSKELETAL MODEL FOR THE ESTIMATION OF BIOMECHANICAL PARAMETERS  

E-Print Network [OSTI]

AN EMG-DRIVEN MUSCULOSKELETAL MODEL FOR THE ESTIMATION OF BIOMECHANICAL PARAMETERS OF WRIST FLEXORS function fmincon was used for the minimization ABSTRACT A musculoskeletal model of wrist flexors are in agreement with previously published data. WRIST MODEL · Hill-type musculotendon model (Zajac ,1989) · Muscle

Sóbester, András

98

Parameters estimation for spatio-temporal maximum entropy distributions: application to neural spike trains  

E-Print Network [OSTI]

We propose a numerical method to learn Maximum Entropy (MaxEnt) distributions with spatio-temporal constraints from experimental spike trains. This is an extension of two papers [10] and [4] who proposed the estimation of parameters where only spatial constraints were taken into account. The extension we propose allows to properly handle memory effects in spike statistics, for large sized neural networks.

Nasser, Hassan

2014-01-01T23:59:59.000Z

99

A nonlinear observer to estimate unknown parameters during the synchronization of chaotic systems  

E-Print Network [OSTI]

This paper proposes an Extended-Kalman-Filter-like observer for parameter estimation during synchronization of chaotic systems. The exponential stability of the observer is guaranteed by a persistent excitation condition. This approach is shown to be suitable for various classical chaotic systems and several simulations are presented accordingly.

L. Torres

2014-06-20T23:59:59.000Z

100

EFFECT OF UNCERTAINTIES IN STELLAR MODEL PARAMETERS ON ESTIMATED MASSES AND RADII OF SINGLE STARS  

SciTech Connect (OSTI)

Accurate and precise values of radii and masses of stars are needed to correctly estimate properties of extrasolar planets. We examine the effect of uncertainties in stellar model parameters on estimates of the masses, radii, and average densities of solar-type stars. We find that in the absence of seismic data on solar-like oscillations, stellar masses can be determined to a greater accuracy than either stellar radii or densities; but to get reasonably accurate results the effective temperature, log g, and metallicity must be measured to high precision. When seismic data are available, stellar density is the most well-determined property, followed by radius, with mass the least well-determined property. Uncertainties in stellar convection, quantified in terms of uncertainties in the value of the mixing length parameter, cause the most significant errors in the estimates of stellar properties.

Basu, Sarbani [Department of Astronomy, Yale University, P.O. Box 208101, New Haven, CT 06520-8101 (United States); Verner, Graham A.; Chaplin, William J.; Elsworth, Yvonne, E-mail: sarbani.basu@yale.edu, E-mail: gav@bison.ph.bham.ac.uk, E-mail: w.j.chaplin@bham.ac.uk, E-mail: y.p.elsworth@bham.ac.uk [School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT (United Kingdom)

2012-02-10T23:59:59.000Z

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.


101

Available Alarms in CDE for Next-Day Generation Estimates - March...  

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

submit Generation Estimates through the Customer Data Entry (CDE) in web Trans or the WECC Electronic Industrial Data Exchange (EIDE) as described in BPAT's Business Practices....

102

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

2009-03-30T23:59:59.000Z

103

Optimal Estimation of Several Linear Parameters in the Presence of Lorentzian Thermal Noise  

E-Print Network [OSTI]

We expand on the results of a previous article to derive the optimal estimation of several, linear parameters for a continuous time series. We show that working in the basis of the thermal driving force both simplifies the calculations and provides additional insight into the efficacy of different estimation techniques. To illustrate this point, we compare the variances in the optimal estimators for thermal noise with those of two approximate methods which, like the optimal estimators, supress the contribution to the variance that comes from the unwanted, resonant motion of the oscillator. We discuss how these methods fare when the dominant noise process is either white displacement noise or noise where the noise power is inversely proportional to the frequency (1/f noise), which is common in modern torsion pendulum experiments. A method to transform a parameter estimating function between the displacement basis and the basis of the thermal driving force is shown for the case of a high-Q oscillator. To find t...

Steffen, Jason H; Boynton, Paul E

2008-01-01T23:59:59.000Z

104

Estimating Contrast Transfer Function and Associated Parameters by Constrained Nonlinear Optimization  

SciTech Connect (OSTI)

The three-dimensional reconstruction of macromolecules from two-dimensional single-particle electron images requires determination and correction of the contrast transfer function (CTF) and envelope function. A computational algorithm based on constrained non-linear optimization is developed to estimate the essential parameters in the CTF and envelope function model simultaneously and automatically. The application of this estimation method is demonstrated with focal series images of amorphous carbon film as well as images of ice-embedded icosahedral virus particles suspended across holes.

Yang, Chao; Jiang, Wen; Chen, Dong-Hua; Adiga, Umesh; Ng, Esmond G.; Chiu, Wah

2008-07-28T23:59:59.000Z

105

Derivative-free optimization for parameter estimation in computational nuclear physics  

E-Print Network [OSTI]

We consider optimization problems that arise when estimating a set of unknown parameters from experimental data, particularly in the context of nuclear density functional theory. We examine the cost of not having derivatives of these functionals with respect to the parameters. We show that the POUNDERS code for local derivative-free optimization obtains consistent solutions on a variety of computationally expensive energy density functional calibration problems. We also provide a primer on the operation of the POUNDERS software in the Toolkit for Advanced Optimization.

Stefan M. Wild; Jason Sarich; Nicolas Schunck

2014-09-17T23:59:59.000Z

106

Estimation of scalar moments from explosion-generated surface waves  

SciTech Connect (OSTI)

Rayleigh waves from underground nuclear explosions are used to estimate scaler moments for 40 Nevada Test Site (NTS) explosions and 18 explosions at the Soviet East Kazakh test site. The Rayleigh wave spectrum is written as a product of functions that depend on the elastic structure of the travel path, the elastic structure of the source region and the Q structure of the path. Results are used to examine the worldwide variability of each factor and the resulting variability of surface wave amplitudes. The path elastic structure and Q structure are found by inversion of Rayleigh wave phase and group velocities and spectral amplitudes. The Green's function derived from this structure is used to estimate the moments of explosions observed along the same path. This procedure produces more consistent amplitude estimates than conventional magnitude measurements. Network scatter in log moment is typically 0.1. In contrast with time-domain amplitudes, the elastic structure of the travel path causes little variability in spectral amplitudes. When the mantle Q is constrained to a value of approximately 100 at depths greater than 120 km, the inversion for Q and moment produces moments that remain constant with distance. Based on the best models available, surface waves from NTS explosions should be larger than surface waves from East Kazakh explosions with the same moment. Estimated scaler moments for the largest East Kazakh explosions since 1976 are smaller than the estimated moments for the largest NTS explosions for the same time period.

Stevens, J.L.

1985-04-01T23:59:59.000Z

107

Parameter estimation for binary neutron-star coalescences with realistic noise during the Advanced LIGO era  

E-Print Network [OSTI]

Advanced ground-based gravitational-wave (GW) detectors begin operation imminently. Their intended goal is not only to make the first direct detection of GWs, but also to make inferences about the source systems. Binary neutron-star mergers are among the most promising sources. We investigate the performance of the parameter-estimation pipeline that will be used during the first observing run of the Advanced Laser Interferometer Gravitational-wave Observatory (aLIGO) in 2015: we concentrate on the ability to reconstruct the source location on the sky, but also consider the ability to measure masses and the distance. Accurate, rapid sky-localization is necessary to alert electromagnetic (EM) observatories so that they can perform follow-up searches for counterpart transient events. We consider parameter-estimation accuracy in the presence of realistic, non-Gaussian noise. We find that the character of the noise makes negligible difference to the parameter-estimation performance. The source luminosity distance can only be poorly constrained, the median $90\\%$ ($50\\%$) credible interval scaled with respect to the true distance is $0.85$ ($0.38$). However, the chirp mass is well measured. Our chirp-mass estimates are subject to systematic error because we used gravitational-waveform templates without component spin to carry out inference on signals with moderate spins, but the total error is typically less than $10^{-3} M_\\odot$. The median $90\\%$ ($50\\%$) credible region for sky localization is $\\sim600~\\mathrm{deg^{2}}$ ($\\sim150~\\mathrm{deg^{2}}$), with $3\\%$ ($30\\%$) of detected events localized within $100~\\mathrm{deg^{2}}$. Early aLIGO, with only two detectors, will have a sky-localization accuracy for binary neutron stars of hundreds of square degrees; this makes EM follow-up challenging, but not impossible.

Christopher P. L. Berry; Ilya Mandel; Hannah Middleton; Leo P. Singer; Alex L. Urban; Alberto Vecchio; Salvatore Vitale; Kipp Cannon; Ben Farr; Will M. Farr; Philip B. Graff; Chad Hanna; Carl-Johan Haster; Satya Mohapatra; Chris Pankow; Larry R. Price; Trevor Sidery; John Veitch

2014-11-25T23:59:59.000Z

108

Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using First-Principles-Based Efficient Reformulated Models  

E-Print Network [OSTI]

Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using First parameters of lithium-ion batteries are estimated using a first-principles electrochemical engineering model and understanding of lithium-ion batteries using physics-based first-principles models. These models are based

Subramanian, Venkat

109

Estimation of Volatility The values of the parameters r, t, St, T, and K used to price a call op-  

E-Print Network [OSTI]

is the price of light sweet crude oil futures traded on the New York Mercantile Exchange (NYMEX), basedChapter 7 Estimation of Volatility The values of the parameters r, t, St, T, and K used to price in the stock price model dSt St = µdt + dBt. A natural estimator for the trend parameter µ can be written as ^µ

Privault, Nicolas

110

Modeling and identification of parallel nonlinear systems: Structural classification and parameter estimation methods  

SciTech Connect (OSTI)

Structural classification and parameter estimation (SCPE) methods are used for studying single-input single-output (SISO) parallel linear-nonlinear-linear (LNL), linear-nonlinear (LN), and nonlinear-linear (NL) system models from input-output (I-O) measurements. The uniqueness of the I-O mappings (see the definition of the I-O mapping in Section 3-A) of some model structures is discussed. The uniqueness of the I-O mappings (see the definition of the I-O mapping in Section 3-A) of some model structures is discussed. The uniqueness of I-O mappings of different models tells them in what conditions different model structures can be differentiated from one another. Parameter uniqueness of the I-O mapping of a given structural model is also discussed, which tells the authors in what conditions a given model's parameters can be uniquely estimated from I-O measurements. These methods are then generalized so that they can be used to study single-input multi-output (SIMO), multi-input single-output (MISO), as well as multi-input multi-output (MIMO) nonlinear system models. Parameter estimation of the two-input single-output nonlinear system model (denoted as the 2f-structure in 2 cited references), which was left unsolved previously, can now be obtained using the newly derived algorithms. Applications of SCPE methods for modeling visual cortical neurons, system fault detection, modeling and identification of communication networks, biological systems, and natural and artificial neural networks are also discussed. The feasibility of these methods is demonstrated using simulated examples. SCPE methods presented in this paper can be further developed to study more complicated block-structures models, and will therefore have future potential for modeling and identifying highly complex multi-input multi-output nonlinear systems.

Chen, H.W. (Los Alamos National Lab., NM (United States). Biophysics Group M715)

1995-01-01T23:59:59.000Z

111

Parameter estimation for chaotic systems using a hybrid adaptive cuckoo search with simulated annealing algorithm  

SciTech Connect (OSTI)

This paper introduces a novel hybrid optimization algorithm to establish the parameters of chaotic systems. In order to deal with the weaknesses of the traditional cuckoo search algorithm, the proposed adaptive cuckoo search with simulated annealing algorithm is presented, which incorporates the adaptive parameters adjusting operation and the simulated annealing operation in the cuckoo search algorithm. Normally, the parameters of the cuckoo search algorithm are kept constant that may result in decreasing the efficiency of the algorithm. For the purpose of balancing and enhancing the accuracy and convergence rate of the cuckoo search algorithm, the adaptive operation is presented to tune the parameters properly. Besides, the local search capability of cuckoo search algorithm is relatively weak that may decrease the quality of optimization. So the simulated annealing operation is merged into the cuckoo search algorithm to enhance the local search ability and improve the accuracy and reliability of the results. The functionality of the proposed hybrid algorithm is investigated through the Lorenz chaotic system under the noiseless and noise condition, respectively. The numerical results demonstrate that the method can estimate parameters efficiently and accurately in the noiseless and noise condition. Finally, the results are compared with the traditional cuckoo search algorithm, genetic algorithm, and particle swarm optimization algorithm. Simulation results demonstrate the effectiveness and superior performance of the proposed algorithm.

Sheng, Zheng, E-mail: 19994035@sina.com [College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101 (China)] [College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101 (China); Wang, Jun; Zhou, Bihua [National Defense Key Laboratory on Lightning Protection and Electromagnetic Camouflage, PLA University of Science and Technology, Nanjing 210007 (China)] [National Defense Key Laboratory on Lightning Protection and Electromagnetic Camouflage, PLA University of Science and Technology, Nanjing 210007 (China); Zhou, Shudao [College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101 (China) [College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101 (China); Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044 (China)

2014-03-15T23:59:59.000Z

112

A Bayesian Approach for Parameter Estimation and Prediction using a Computationally Intensive Model  

E-Print Network [OSTI]

Bayesian methods have been very successful in quantifying uncertainty in physics-based problems in parameter estimation and prediction. In these cases, physical measurements y are modeled as the best fit of a physics-based model $\\eta(\\theta)$ where $\\theta$ denotes the uncertain, best input setting. Hence the statistical model is of the form $y = \\eta(\\theta) + \\epsilon$, where $\\epsilon$ accounts for measurement, and possibly other error sources. When non-linearity is present in $\\eta(\\cdot)$, the resulting posterior distribution for the unknown parameters in the Bayesian formulation is typically complex and non-standard, requiring computationally demanding computational approaches such as Markov chain Monte Carlo (MCMC) to produce multivariate draws from the posterior. While quite generally applicable, MCMC requires thousands, or even millions of evaluations of the physics model $\\eta(\\cdot)$. This is problematic if the model takes hours or days to evaluate. To overcome this computational bottleneck, we present an approach adapted from Bayesian model calibration. This approach combines output from an ensemble of computational model runs with physical measurements, within a statistical formulation, to carry out inference. A key component of this approach is a statistical response surface, or emulator, estimated from the ensemble of model runs. We demonstrate this approach with a case study in estimating parameters for a density functional theory (DFT) model, using experimental mass/binding energy measurements from a collection of atomic nuclei. We also demonstrate how this approach produces uncertainties in predictions for recent mass measurements obtained at Argonne National Laboratory (ANL).

Dave Higdon; Jordan D. McDonnell; Nicolas Schunck; Jason Sarich; Stefan M. Wild

2014-09-17T23:59:59.000Z

113

Quantum estimation of the Schwarzschild space-time parameters of the Earth  

E-Print Network [OSTI]

We propose a quantum experiment to measure with high precision the Schwarzschild space-time parameters of the Earth. The scheme can also be applied to measure distances by taking into account the curvature of the Earth's space-time. As a wave-packet of (entangled) light is sent from the Earth to a satellite it is red-shifted and deformed due to the curvature of space-time. Measurements after the propagation enable the estimation of the space-time parameters. We compare our results with the state of the art, which involves classical measurement methods, and discuss what developments are required in space-based quantum experiments to improve on the current measurement of the Schwarzschild radius of the Earth.

David Edward Bruschi; Animesh Datta; Rupert Ursin; Timothy C. Ralph; Ivette Fuentes

2014-08-31T23:59:59.000Z

114

Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II Field Emission SEM with EDAXUpdated Capital Cost Estimates

115

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

SciTech Connect (OSTI)

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

116

Non-Stationary Spectral Estimation for Wind Turbine Induction Generator Faults Detection  

E-Print Network [OSTI]

- or indirect-drive, fixed- or variable-speed turbine generators, advanced signal processing tools are requiredNon-Stationary Spectral Estimation for Wind Turbine Induction Generator Faults Detection El Houssin- rine current turbine farms implies to minimize and predict maintenance operations. In direct

Paris-Sud XI, Université de

117

Cavity-aided quantum parameter estimation in a bosonic double-well Josephson junction  

E-Print Network [OSTI]

We describe an apparatus designed to make non-demolition measurements on a Bose-Einstein condensate (BEC) trapped in a double-well optical cavity. This apparatus contains, as well as the bosonic gas and the trap, an optical cavity. We show how the interaction between the light and the atoms, under appropriate conditions, can allow for a weakly disturbing yet highly precise measurement of the population imbalance between the two wells and its variance. We show that the setting is well suited for the implementation of quantum-limited estimation strategies for the inference of the key parameters defining the evolution of the atomic system and based on measurements performed on the cavity field. This would enable {\\it de facto} Hamiltonian diagnosis via a highly controllable quantum probe.

M. Zuppardo; J. P. Santos; G. De Chiara; M. Paternostro; F. L. Semiao; G. M. Palma

2014-07-30T23:59:59.000Z

118

The impact of spurious shear on cosmological parameter estimates from weak lensing observables  

DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

Residual errors in shear measurements, after corrections for instrument systematics and atmospheric effects, can impact cosmological parameters derived from weak lensing observations. Here we combine convergence maps from our suite of ray-tracing simulations with random realizations of spurious shear. This allows us to quantify the errors and biases of the triplet (?m,w,?8) derived from the power spectrum (PS), as well as from three different sets of non-Gaussian statistics of the lensing convergence field: Minkowski functionals (MFs), low-order moments (LMs), and peak counts (PKs). Our main results are as follows: (i) We find an order of magnitude smaller biases from the PS than in previous work. (ii) The PS and LM yield biases much smaller than the morphological statistics (MF, PK). (iii) For strictly Gaussian spurious shear with integrated amplitude as low as its current estimate of ?sys2?10-7, biases from the PS and LM would be unimportant even for a survey with the statistical power of Large Synoptic Survey Telescope. However, we find that for surveys larger than ?100 deg2, non-Gaussianity in the noise (not included in our analysis) will likely be important and must be quantified to assess the biases. (iv) The morphological statistics (MF, PK) introduce important biases even for Gaussian noise, which must be corrected in large surveys. The biases are in different directions in (?m,w,?8) parameter space, allowing self-calibration by combining multiple statistics. Our results warrant follow-up studies with more extensive lensing simulations and more accurate spurious shear estimates.

Petri, Andrea [Brookhaven National Laboratory (BNL), Upton, NY (United States); Columbia Univ., New York, NY (United States); May, Morgan [Brookhaven National Laboratory (BNL), Upton, NY (United States); Haiman, Zoltan [Columbia Univ., New York, NY (United States); Kratochvil, Jan M. [Univ. of KwaZulu-Natal, Durban (South Africa)

2014-12-01T23:59:59.000Z

119

Can a more realistic model error structure improve the parameter estimation in modelling the dynamics of sh populations?  

E-Print Network [OSTI]

or applying an estimation method that is robust to the error structure assumption in modelling the dynamicsCan a more realistic model error structure improve the parameter estimation in modelling the dynamics of ®sh populations? Y. Chena,* , J.E. Paloheimob a Fisheries Conservation Chair Program, Fisheries

Chen, Yong

120

Spatially Dependent Parameter Estimation and Nonlinear Data Assimilation by Autosynchronization of a System of Partial Differential Equations  

E-Print Network [OSTI]

Given multiple images that describe chaotic reaction-diffusion dynamics, parameters of a PDE model are estimated using autosynchronization, where parameters are controlled by synchronization of the model to the observed data. A two-component system of predator-prey reaction-diffusion PDEs is used with spatially dependent parameters to benchmark the methods described. Applications to modelling the ecological habitat of marine plankton blooms by nonlinear data assimilation through remote sensing is discussed.

Sean Kramer; Eric Bollt

2012-07-19T23:59:59.000Z

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

7.6 MLE for Transformed Parameters Given PDF p(x; ) but want an estimate of = g ( )  

E-Print Network [OSTI]

1 7.6 MLE for Transformed Parameters Given PDF p(x; ) but want an estimate of = g ( ) What-to-one Otherwise... can "argue" that maximization over inside definition for modified LF ensures the result. #12;3 Ex. 7.9: Estimate Power of DC Level in AWGN x[n] = A + w[n] noise is N(0,2) & White Want to Est

Fowler, Mark

122

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

SciTech Connect (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

123

A Planning Tool for Estimating Waste Generated by a Radiological Incident and Subsequent Decontamination Efforts - 13569  

SciTech Connect (OSTI)

Management of debris and waste from a wide-area radiological incident would probably constitute a significant percentage of the total remediation cost and effort. The U.S. Environmental Protection Agency's (EPA's) Waste Estimation Support Tool (WEST) is a unique planning tool for estimating the potential volume and radioactivity levels of waste generated by a radiological incident and subsequent decontamination efforts. The WEST was developed to support planners and decision makers by generating a first-order estimate of the quantity and characteristics of waste resulting from a radiological incident. The tool then allows the user to evaluate the impact of various decontamination/demolition strategies on the waste types and volumes generated. WEST consists of a suite of standalone applications and Esri{sup R} ArcGIS{sup R} scripts for rapidly estimating waste inventories and levels of radioactivity generated from a radiological contamination incident as a function of user-defined decontamination and demolition approaches. WEST accepts Geographic Information System (GIS) shape-files defining contaminated areas and extent of contamination. Building stock information, including square footage, building counts, and building composition estimates are then generated using the Federal Emergency Management Agency's (FEMA's) Hazus{sup R}-MH software. WEST then identifies outdoor surfaces based on the application of pattern recognition to overhead aerial imagery. The results from the GIS calculations are then fed into a Microsoft Excel{sup R} 2007 spreadsheet with a custom graphical user interface where the user can examine the impact of various decontamination/demolition scenarios on the quantity, characteristics, and residual radioactivity of the resulting waste streams. (authors)

Boe, Timothy [Oak Ridge Institute for Science and Education, Research Triangle Park, NC 27711 (United States)] [Oak Ridge Institute for Science and Education, Research Triangle Park, NC 27711 (United States); Lemieux, Paul [U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 (United States)] [U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 (United States); Schultheisz, Daniel; Peake, Tom [U.S. Environmental Protection Agency, Washington, DC 20460 (United States)] [U.S. Environmental Protection Agency, Washington, DC 20460 (United States); Hayes, Colin [Eastern Research Group, Inc, Morrisville, NC 26560 (United States)] [Eastern Research Group, Inc, Morrisville, NC 26560 (United States)

2013-07-01T23:59:59.000Z

124

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

SciTech Connect (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

125

Estimating basin-wide hydraulic parameters of a semi-arid mountainous watershed by recession-flow analysis  

E-Print Network [OSTI]

Estimating basin-wide hydraulic parameters of a semi-arid mountainous watershed by recession 2002; accepted 23 April 2003 Abstract Insufficient sub-surface hydraulic data from watersheds often and in watersheds with low population densities because well-drilling to obtain the hydraulic data is expensive

Walter, M.Todd

126

Assessing Invariance of Factor Structures and Polytomous Item Response Model Parameter Estimates  

E-Print Network [OSTI]

.e., identical items, different people) for the homogenous graded response model (Samejima, 1969) and the partial credit model (Masters, 1982)? To evaluate measurement invariance using IRT methods, the item discrimination and item difficulty parameters... obtained from the GRM need to be equivalent across datasets. The YFCY02 and YFCY03 GRM item discrimination parameters (slope) correlation was 0.828. The YFCY02 and YFCY03 GRM item difficulty parameters (location) correlation was 0...

Reyes, Jennifer McGee

2012-02-14T23:59:59.000Z

127

A Methodology for Estimating the Parameters of Steam Turbine Generator Shaft Systems for Subsynchronous Resonance Studies .  

E-Print Network [OSTI]

??The increase of coal and nuclear power steam turbines over the past few decades combined with transmission line series capacitors creates a potential drawback known… (more)

Sambarapu, Krishna

2012-01-01T23:59:59.000Z

128

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 ...

Barsotti, Lisa

129

An equivalent circuit for the Brushless Doubly Fed Machine (BDFM) including parameter estimation  

E-Print Network [OSTI]

are presented. The machine is intended for use as a variable speed generator, or drive. A per phase equivalent generator for wind turbines, although the benefits of the BDFM for variable speed drives have also been of operation in a doubly- fed mode, in which the shaft speed has a fixed relationship to the two excitation

Cambridge, University of

130

Estimation of Inflation parameters for Perturbed Power Law model using recent CMB measurements  

E-Print Network [OSTI]

Cosmic Microwave Background (CMB) is an important probe for understanding the inflationary era of the Universe. We consider the Perturbed Power Law (PPL) model of inflation which is a soft deviation from Power Law (PL) inflationary model. This model captures the effect of higher order derivative of Hubble parameter during inflation, which in turn leads to a non-zero effective mass $m_{\\rm eff}$ for the inflaton field. The higher order derivatives of Hubble parameter at leading order sources constant difference in the spectral index for scalar and tensor perturbation going beyond PL model of inflation. PPL model have two observable independent parameters, namely spectral index for tensor perturbation $\

Suvodip Mukherjee; Santanu Das; Minu Joy; Tarun Souradeep

2015-01-31T23:59:59.000Z

131

Estimation of Inflation parameters for Perturbed Power Law model using recent CMB measurements  

E-Print Network [OSTI]

Cosmic Microwave Background (CMB) is an important probe for understanding the inflationary era of the Universe. We consider the Perturbed Power Law (PPL) model of inflation which is a soft deviation from Power Law (PL) inflationary model. This model captures the effect of higher order derivative of Hubble parameter during inflation, which in turn leads to a non-zero effective mass $m_{\\rm eff}$ for the inflaton field. The higher order derivatives of Hubble parameter at leading order sources constant difference in the spectral index for scalar and tensor perturbation going beyond PL model of inflation. PPL model have two observable independent parameters, namely spectral index for tensor perturbation $\

Mukherjee, Suvodip; Joy, Minu; Souradeep, Tarun

2014-01-01T23:59:59.000Z

132

Using Markov chain Monte Carlo methods for estimating parameters with gravitational radiation data  

E-Print Network [OSTI]

We present a Bayesian approach to the problem of determining parameters for coalescing binary systems observed with laser interferometric detectors. By applying a Markov Chain Monte Carlo (MCMC) algorithm, specifically the Gibbs sampler, we demonstrate the potential that MCMC techniques may hold for the computation of posterior distributions of parameters of the binary system that created the gravity radiation signal. We describe the use of the Gibbs sampler method, and present examples whereby signals are detected and analyzed from within noisy data.

Nelson Christensen; Renate Meyer

2001-02-05T23:59:59.000Z

133

An estimation of radiobiological parameters for head-and-neck cancer cells and the clinical implications  

E-Print Network [OSTI]

plan quality. For example, a Siemens Primus step-and-shootphoton beam generated by a Siemens Primus accelerator at ourAccording to [1], for a Siemens step-and-shoot machine, the

Sharon Qi, X; Yang, Q; Lee, SP; Allen Li, X; Wang, D

2012-01-01T23:59:59.000Z

134

Estimation of the parameters of the Weibull distribution from multi-censored samples  

E-Print Network [OSTI]

at the estimates. Thus, 3 L Ba 2 a, g 3 L Bagg a, g Var(a) Cov(u, g) Cov(u, g) Var(8) a, g u, g (4. 21) The reasoning of approximating the expected values of the second partials in equation (4. 20) can be appreciated when one observes that... the estimators I 2 2 [X -1/2 ~ ' = (l6/ ( -ul[g (1 *~) ? ( g I *~) /JI (3 ~ 2) i 1 i=1 and n p'- ~[([ z *)/ + /] i 1 i (3 ~ 3) where c is Euler's constant, c = 0. 5772 approximately. He states that u' is distributed asymptotically normal with mean u...

Sprinkle, Edgar Eugene

1969-01-01T23:59:59.000Z

135

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

136

CALCULATION AND USE OF EFFECTIVE EXTERNAL BOUNDARY AND RELATED SETTING PARAMETERS IN CABLE YARDING PRODUCTION ESTIMATION  

E-Print Network [OSTI]

in the more efficient use of existing capital and labor resources. Efficiency in timber harvesting starts YARDING PRODUCTION ESTIMATION Francis E. Greulich1 ABSTRACT.--The concept of the effective external-growth timber, very competitive bidding for logging contracts, high regional labor costs, shorter contract

Greulich, Francis E.

137

Nonlinear Programming Approaches for Efficient Large-Scale Parameter Estimation with Applications in Epidemiology  

E-Print Network [OSTI]

. . . . . . . . . . 91 6.2 Case Study and Model Formulation . . . . . . . . . . . . . . . . . . . 96 6.3 Estimation Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . 100 6.4 Results and Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . 104 7... PARALLEL DYNAMIC OPTIMIZATION . . . . . . . . . . . . . . . . . . 108 7.1 Parallel Optimization of Dynamic Systems . . . . . . . . . . . . . . . 108 7.2 Interior-Point Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . 115 7.3 Model...

Word, Daniel Paul

2013-07-09T23:59:59.000Z

138

Accuracy Analysis on the Estimation of Camera Parameters for Active Vision Systems  

E-Print Network [OSTI]

and orientation of the camera. They may include the effective focal length, the width and height of a photo sensor and resolution of the image sensor, the average object distance, the relative object depth, the 2D observation of the optical axis and the image sensor plane). Extrinsic camera parameters are essentially the position

Chen, Sheng-Wei

139

Empirical Estimation of Biota Exposure Range for Calculation of Bioaccumulation Parameters  

E-Print Network [OSTI]

) and biota­sediment accumulation factors (BSAFs) are frequently used to predict contaminant bioaccumulation for optimizing bioaccumulation parameters (BAF and BSAF) in aquatic species, such as fish, whose exposure history. Keywords: Bioaccumulation factor Exposure range BSAF Sediments INTRODUCTION Legacy pollutants have severely

140

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

E-Print Network [OSTI]

theory I. INTRODUCTION Permanent Magnet Stepper Motors (PMSM's) are widely used in industry for position control, especially in manu- facturing applications. PMSM's are more robust than brush DC motors the question of parameter identification without position or velocity sensors. The es- timation of PMSM

Paris-Sud XI, Université de

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

Supplementary Material: Parameter Studies The following sections analyse interferometric estimates of source-receiver Green's functions  

E-Print Network [OSTI]

) originates from the end points of the source boundary: Fig. 10a shows that it is generated in the first step and then contributes to the second step. All such non-physical arrivals can be significantly suppressed by a spatial example the decimation of the boundary points by up to a factor of six did not create additional non

142

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

2006-02-04T23:59:59.000Z

143

On UHECR energy estimation algorithms based on the measurement of electromagnetic component parameters in EAS  

E-Print Network [OSTI]

Model calculations are performed of extensive air shower (EAS) component energies using a variety of hadronic interaction parameters. A conversion factor from electromagnetic component energy to the energy of ultra-high energy cosmic rays (UHECRs) and its model and primary mass dependence is studied. It is shown that model dependence of the factor minimizes under the necessary condition of the same maximum position and muon content of simulated showers.

A. A. Ivanov

2007-04-26T23:59:59.000Z

144

Estimation of circadian parameters and investigation in cyanobacteria via semiparametric varying coefficient periodic models  

E-Print Network [OSTI]

the local linear approach to update ??0i(t) and ??1i(t) separately with bandwidths h0 and h1. The estimates are ??[k]0i (t0) = (1,0)(XT0 W0X0)?1XT0 W0Yi, 17 ??[k]1i (t0) = (1,0)(XT1 W1X1)?1XT1 W1Yi, (2.4) where X0 = ? ?? ?? ? 1 t1 ?t0 ... ... 1 tn ?t0...

Liu, Yingxue

2009-05-15T23:59:59.000Z

145

Generator Dynamic Model Validation and Parameter Calibration Using Phasor Measurements at the Point of Connection  

SciTech Connect (OSTI)

Disturbance data recorded by phasor measurement units (PMU) offers opportunities to improve the integrity of dynamic models. However, manually tuning parameters through play-back events demands significant efforts and engineering experiences. In this paper, a calibration method using the extended Kalman filter (EKF) technique is proposed. The formulation of EKF with parameter calibration is discussed. Case studies are presented to demonstrate its validity. The proposed calibration method is cost-effective, complementary to traditional equipment testing for improving dynamic model quality.

Huang, Zhenyu; Du, Pengwei; Kosterev, Dmitry; Yang, Steve

2013-05-01T23:59:59.000Z

146

Bayesian parameter estimation of core collapse supernovae using gravitational wave simulations  

E-Print Network [OSTI]

Using the latest numerical simulations of rotating stellar core collapse, we present a Bayesian framework to extract the physical information encoded in noisy gravitational wave signals. We fit Bayesian principal component regression models with known and unknown signal arrival times to reconstruct gravitational wave signals, and subsequently fit known astrophysical parameters on the posterior means of the principal component coefficients using a linear model. We predict the ratio of rotational kinetic energy to gravitational energy of the inner core at bounce by sampling from the posterior predictive distribution, and find that these predictions are generally very close to the true parameter values, with $90\\%$ credible intervals $\\sim 0.04$ and $\\sim 0.06$ wide for the known and unknown arrival time models respectively. Two supervised machine learning methods are implemented to classify precollapse differential rotation, and we find that these methods discriminate rapidly rotating progenitors particularly well. We also introduce a constrained optimization approach to model selection to find an optimal number of principal components in the signal reconstruction step. Using this approach, we select 14 principal components as the most parsimonious model.

Matthew C. Edwards; Renate Meyer; Nelson Christensen

2014-07-28T23:59:59.000Z

147

Estimation of clock parameters and performance benchmarks for synchronization in wireless sensor networks  

E-Print Network [OSTI]

to the target scenario as follows. Let the order statistics of the observations fUkgNk=1 and fVkgNk=1 be denoted as fU(k)gNk=1 and fV(k)gNk=1, respectively. Deflne U0k , 1fi (Uk ?? ?`); V 0k , 1fl (Vk ?? +`); which are a set of independent observations... on the standardized variate and hence their distribution is parameter-free. The order statistics of U0k and V 0k are denoted by U0(k) and V 0(k), respectively. The following relations hold: E?U(k)? = ? +`+fiE?U0(k)? ; E?V(k)? = ? ?`+flE?V 0(k)?; var?U(k)? = fi2var?U0...

Chaudhari, Qasim Mahmood

2009-05-15T23:59:59.000Z

148

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

SciTech Connect (OSTI)

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

149

SOOT GENERATION IN FIRES: AN IMPORTANT PARAMETER FOR ACCURATE CALCULATION OF HEAT RELEASE  

E-Print Network [OSTI]

states that heat of complete combustion per unit mass of oxygen consumed is approximately constant similarly states that heat of complete combustion per unit mass of carbon dioxide generated is approximately constant for most organic liquid, gaseous and solid compounds [1]. The heat of combustion per unit mass

Paris-Sud XI, Université de

150

Estimating the Parameters of Sgr A*'s Accretion Flow Via Millimeter VLBI  

E-Print Network [OSTI]

Recent millimeter-VLBI observations of Sagittarius A* (Sgr A*) have, for the first time, directly probed distances comparable to the horizon scale of a black hole. This provides unprecedented access to the environment immediately around the horizon of an accreting black hole. We leverage both existing spectral and polarization measurements and our present understanding of accretion theory to produce a suite of generic radiatively inefficient accretion flow (RIAF) models of Sgr A*, which we then fit to these recent millimeter-VLBI observations. We find that if the accretion flow onto Sgr A* is well described by a RIAF model, the orientation and magnitude of the black hole's spin is constrained to a two-dimensional surface in the spin, inclination, position angle parameter space. For each of these we find the likeliest values and their 1-sigma & 2-sigma errors to be a=0(+0.4+0.7), inclination=50(+10+30)(-10-10) degrees, and position angle=-20(+31+107)(-16-29) degrees, when the resulting probability distribution is marginalized over the others. The most probable combination is a=0(+0.2+0.4), inclination=90(-40-50) degrees and position angle=-14(+7+11)(-7-11) degrees, though the uncertainties on these are very strongly correlated, and high probability configurations exist for a variety of inclination angles above 30 degrees and spins below 0.99. Nevertheless, this demonstrates the ability millimeter-VLBI observations, even with only a few stations, to significantly constrain the properties of Sgr A*.

Avery E. Broderick; Vincent L. Fish; Sheperd S. Doeleman; Abraham Loeb

2009-03-03T23:59:59.000Z

151

Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library  

E-Print Network [OSTI]

The Advanced LIGO and Advanced Virgo gravitational wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the first detections. The gravitational waveforms emitted directly encode information about the sources, including the masses and spins of the compact objects. Recovering the physical parameters of the sources from the GW observations is a key analysis task. This work describes the LALInference software library for Bayesian parameter estimation of compact binary signals, which builds on several previous methods to provide a well-tested toolkit which has already been used for several studies. We show that our implementation is able to correctly recover the parameters of compact binary signals from simulated data from the advanced GW detectors. We demonstrate this with a detailed comparison on three compact binary systems: a binary neutron star, a neutron star black hole binary and a binary black hole, where we show a cross-comparison of results obtained using three independent sampling algorithms. These systems were analysed with non-spinning, aligned spin and generic spin configurations respectively, showing that consistent results can be obtained even with the full 15-dimensional parameter space of the generic spin configurations. We also demonstrate statistically that the Bayesian credible intervals we recover correspond to frequentist confidence intervals under correct prior assumptions by analysing a set of 100 signals drawn from the prior. We discuss the computational cost of these algorithms, and describe the general and problem-specific sampling techniques we have used to improve the efficiency of sampling the compact binary coalescence parameter space.

John Veitch; Vivien Raymond; Benjamin Farr; Will M. Farr; Philip Graff; Salvatore Vitale; Ben Aylott; Kent Blackburn; Nelson Christensen; Michael Coughlin; Walter Del Pozzo; Farhan Feroz; Jonathan Gair; Carl-Johan Haster; Vicky Kalogera; Tyson Littenberg; Ilya Mandel; Richard O'Shaughnessy; Matthew Pitkin; Carl Rodriguez; Christian Röver; Trevor Sidery; Rory Smith; Marc Van Der Sluys; Alberto Vecchio; Will Vousden; Leslie Wade

2015-02-16T23:59:59.000Z

152

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

SciTech Connect (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

153

Generator parameter uncertainties in the frequency-and-duration of cumulative margin events  

E-Print Network [OSTI]

that if M=O. the indices become the probability and frequency and duration of load loss events. Utilizing a cumulative state model for load and an exact state model for generating capacity, the 1ndices may be computed as follows. P = Z p(X)P (C-X-M) M... X L fM E [p(X)fL(C X M) + EF(X)PL(C X M)] o. = PM~fM where X = possible capacity outage states, p(X) = probability of capacity X on forced outage, EF(X) = equivalent frequency contribution of capacity state X, PL (C-X-M), fL (C-X-M) = probabi...

Tram, Nhat-Hanh

2012-06-07T23:59:59.000Z

154

Does Beta React to Market Conditions?: Estimates of Bull and Bear Betas using a Nonlinear Market Model with Endogenous Threshold Parameter  

E-Print Network [OSTI]

Does Beta React to Market Conditions?: Estimates of Bull and Bear Betas using a Nonlinear Market Model with Endogenous Threshold Parameter by George Woodward and Heather Anderson Department transition between bull and bear states and allows the data to determine the threshold value. The estimated

Kearns, Michael

155

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

SciTech Connect (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 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

156

Estimations of Mo X-pinch plasma parameters on QiangGuang-1 facility by L-shell spectral analyses  

SciTech Connect (OSTI)

Plasma parameters of molybdenum (Mo) X-pinches on the 1-MA QiangGuang-1 facility were estimated by L-shell spectral analysis. X-ray radiation from X-pinches had a pulsed width of 1 ns, and its spectra in 2–3 keV were measured with a time-integrated X-ray spectrometer. Relative intensities of spectral features were derived by correcting for the spectral sensitivity of the spectrometer. With an open source, atomic code FAC (flexible atomic code), ion structures, and various atomic radiative-collisional rates for O-, F-, Ne-, Na-, Mg-, and Al-like ionization stages were calculated, and synthetic spectra were constructed at given plasma parameters. By fitting the measured spectra with the modeled, Mo X-pinch plasmas on the QiangGuang-1 facility had an electron density of about 10{sup 21} cm{sup ?3} and the electron temperature of about 1.2 keV.

Wu, Jian; Qiu, Aici [State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Shaanxi 710049 (China) [State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Shaanxi 710049 (China); State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi'an 710024 (China); Li, Mo; Wang, Liangping; Wu, Gang; Ning, Guo; Qiu, Mengtong [State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi'an 710024 (China)] [State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi'an 710024 (China); Li, Xingwen [State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Shaanxi 710049 (China)] [State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Shaanxi 710049 (China)

2013-08-15T23:59:59.000Z

157

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

SciTech Connect (OSTI)

The Dakota (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a exible and extensible interface between simulation codes and iterative analysis methods. Dakota contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quanti cation 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 exible 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.

Adams, Brian M.; Ebeida, Mohamed Salah; Eldred, Michael S.; Jakeman, John Davis; Swiler, Laura Painton; Stephens, John Adam; Vigil, Dena M.; Wildey, Timothy Michael; Bohnhoff, William J.; Eddy, John P.; Hu, Kenneth T.; Dalbey, Keith R.; Bauman, Lara E; Hough, Patricia Diane

2014-05-01T23:59:59.000Z

158

Gas temperature profiles at different flow rates and heating rates suffice to estimate kinetic parameters for fluidised bed combustion  

SciTech Connect (OSTI)

Experimental work on estimation kinetic parameters for combustion was conducted in a bench-scale fluidised bed (FB: 105x200mm). Combustion medium was obtained by using an electrical heater immersed into the bed. The ratio of heating rate (kJ/s) to molar flow rate of air (mol/s) regulated by a rheostat so that the heat of combustion (kJ/mol) can be synthetically obtained by an electrical power supply for relevant O{sub 2}-feedstock concentration (C{sub 0}). O{sub 2}-restriction ratio ({beta}) was defined by the ratio of O{sub 2}-feedstock concentration to O{sub 2}-air concentration (C{sub O{sub 2}-AIR}) at prevailing heating rates. Compressed air at further atmospheric pressure ({approx_equal}102.7kPa) entered the bed that was alumina particles (250{mu}m). Experiments were carried out at different gas flow rates and heating rates. FB was operated with a single charge of (1300g) particles for obtaining the T/T{sub 0} curves, and than C/C{sub 0} curves. The mathematical relationships between temperature (T) and conversion ratio (X) were expressed by combining total energy balance and mass balance in FB. Observed surface reaction rate constants (k{sub S}) was obtained from the combined balances and proposed model was also tested for these kinetic parameters (frequency factor: k{sub 0}, activation energy: E{sub A}, and reaction order: n) obtained from air temperature measurements. It was found that the model curves allow a good description of the experimental data. Thus, reaction rate for combustion was sufficiently expressed. (author)

Suyadal, Y. [Faculty of Engineering, Department of Chemical Engineering, Ankara University, 06100-Tandogan, Ankara (Turkey)

2006-07-15T23:59:59.000Z

159

Improving parameter estimation and water table depth simulation in a land surface model using GRACE water storage and estimated base flow data  

E-Print Network [OSTI]

2007), Estimating ground water storage changes in thestorage (i.e. , all of the snow, ice, surface water, soil moisture, and ground-

Lo, Min-Hui; Famiglietti, James S; Yeh, P. J.-F.; Syed, T. H

2010-01-01T23:59:59.000Z

160

The link between a negative high resolution resist contrast/developer performance and the Flory-Huggins parameter estimated from the Hansen solubility sphere  

SciTech Connect (OSTI)

We have implemented a technique to identify candidate polymer solvents for spinning, developing, and rinsing for a high resolution, negative electron beam resist hexa-methyl acetoxy calix(6)arene to elicit the optimum pattern development performance. Using the three dimensional Hansen solubility parameters for over 40 solvents, we have constructed a Hansen solubility sphere. From this sphere, we have estimated the Flory Huggins interaction parameter for solvents with hexa-methyl acetoxy calix(6)arene and found a correlation between resist development contrast and the Flory-Huggins parameter. This provides new insights into the development behavior of resist materials which are necessary for obtaining the ultimate lithographic resolution.

StCaire, Lorri; Olynick, Deirdre L.; Chao, Weilun L.; Lewis, Mark D.; Lu, Haoren; Dhuey, Scott D.; Liddle, J. Alexander

2008-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "generator parameter estimation" from the National Library of EnergyBeta (NLEBeta).
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161

Estimation of fracture compliance from tubewaves generated at a fracture intersecting a borehole  

E-Print Network [OSTI]

Understanding fracture compliance is important for characterizing fracture networks and for inferring fluid flow in the subsurface. In an attempt to estimate fracture compliance in the field, we developed a new model to ...

Bakku, Sudhish Kumar

2011-01-01T23:59:59.000Z

162

Comparison of Integral Parameters Estimated Uncertainties in Fast Neutron Systems with COMMARA-2.1 and COMMARA-2.0 Covariance Data  

SciTech Connect (OSTI)

This paper aims to show the main diffrences between the COMMARA-2.0 and COMMARA-2.1 evaluated covariance data in the uncertainty estimation of integral parameters of interest for a large number of typical innovative fast neutron systems.

Giuseppe Palmiotti; Massimo Salvatores

2015-01-01T23:59:59.000Z

163

Copyright 2008 IEEE. Reprinted from J. Rose, and I. Hiskens. Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior.  

E-Print Network [OSTI]

Copyright © 2008 IEEE. Reprinted from J. Rose, and I. Hiskens. Estimating Wind Turbine Parameters, July 2008. This material is posted here with permission of the IEEE. Such permission of the IEEE does or services. Internal or personal use of this material is permitted. However, permission to reprint

164

A combined method to estimate parameters of the thalamocortical model from a heavily noise-corrupted time series of action potential  

SciTech Connect (OSTI)

A combined method composing of the unscented Kalman filter (UKF) and the synchronization-based method is proposed for estimating electrophysiological variables and parameters of a thalamocortical (TC) neuron model, which is commonly used for studying Parkinson's disease for its relay role of connecting the basal ganglia and the cortex. In this work, we take into account the condition when only the time series of action potential with heavy noise are available. Numerical results demonstrate that not only this method can estimate model parameters from the extracted time series of action potential successfully but also the effect of its estimation is much better than the only use of the UKF or synchronization-based method, with a higher accuracy and a better robustness against noise, especially under the severe noise conditions. Considering the rather important role of TC neuron in the normal and pathological brain functions, the exploration of the method to estimate the critical parameters could have important implications for the study of its nonlinear dynamics and further treatment of Parkinson's disease.

Wang, Ruofan; Wang, Jiang; Deng, Bin, E-mail: dengbin@tju.edu.cn; Liu, Chen; Wei, Xile [Department of Electrical and Automation Engineering, Tianjin University, Tianjin (China)] [Department of Electrical and Automation Engineering, Tianjin University, Tianjin (China); Tsang, K. M.; Chan, W. L. [Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon (Hong Kong)] [Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon (Hong Kong)

2014-03-15T23:59:59.000Z

165

Application of the Ensemble Kalman Filter to Estimate Fracture Parameters in Unconventional Horizontal Wells by Downhole Temperature Measurements  

E-Print Network [OSTI]

, the Ensemble Kalman Filter effectively minimizes the time of operation by only using “snapshots” of the ensembles collected by various simulations where the estimation is updated continuously to be calibrated by comparing it to a reference model. A reservoir...

Gonzales, Sergio Eduardo

2013-07-23T23:59:59.000Z

166

ESTIMATION OF OUTLET MASS FLOW FOR A MONO-TUBE CAVITY RECEIVER FOR DIRECT STEAM GENERATION  

E-Print Network [OSTI]

University (ANU). Solar thermal power plants using this technology are intended to be deployed in large generation with large scale parabolic dishes. Simulations of the model show that it is possible to assume pressure and modelled fluid properties. Simulations show that this approach produces good agreement between

167

Column Experiments for Radionuclide Adsorption Studies of the Culebra Dolomite: Retardation Parameter Estimation for Non-Eluted Actinide Species  

SciTech Connect (OSTI)

The U.S. Department of Energy (DOE) has been developing a nuclear waste disposal facility, the Waste Isolation Pilot Plant (WIPP), located approximately 42 km east of Carlsbad, New Mexico. The WIPP is designed to demonstrate the safe disposal of transuranic wastes produced by the defense nuclear-weapons program. Performance assessment analyses (U.S. DOE, 1996) indicate that human intrusion by inadvertent and intermittent drilling for resources provide the only credible mechanisms for significant releases of radionuclides horn the disposal system. These releases may occur by five mechanisms: (1) cuttings, (2) cavings, (3) spallings, (4) direct brine releases, and (5) long-term brine releases. The first four mechanisms could result in immediate release of contaminant to the accessible environment. For the last mechanism, migration pathways through the permeable layers of rock above the Salado are important, and major emphasis is placed on the Culebra Member of the Rustler Formation because this is the most transmissive geologic layer in the disposal system. For reasons of initial quantity, half-life, and specific radioactivity, certain isotopes of Th, U, Am, and Pu would dominate calculated releases from the WIPP. In order to help quanti~ parameters for the calculated releases, radionuclide transport experiments have been carried out using five intact-core columns obtained from the Culebra dolomite member of the Rustler Formation within the Waste Isolation Pilot Plant (WIPP) site in southeastern New Mexico. This report deals primarily with results of mathematical analyses related to the retardation of %J%, 24%, and 24'Am in two of these cores (B-Core - VPX26-11A and C-Core - VPX28-6C). All B-Core transport experiments were done using Culebra-simukmt brine relevant to the core recovery location (the WIPP air-intake shaft - AIS). Most experiments with C-Core were done with AIS brine with some admixture of a brine composition (ERDA-6) that simulated deeper formation brines. No significant changes in transport behavior were observed for changes in brine. Hydraulic characteristics (i.e., apparent porosity and apparent dispersion coefficient) for the cores were obtained via experiments using conservative tracer `Na. Elution experiments carried out over periods of a few days with tracers `*U and %Np indicated that these tracers were weakly retarded as indicated by delayed elution of these species. Elution experiments with tracers `%, 24'Pu, and 24'Ani were performed, but no elution of any of these species was observed in any flow experiment to date, including experiments of up to two years duration. However, B-Core was subjected to tomographic analysis from which a retardation factor can be inferred for%. Moreover, the fact of non- elution for 24*Pu and 24'Am after more than two years brine flow through C-Core can be coupled with the minimum detectable activity for each of these species to compute minimum retardation factors in C-Core. The retardation factors for all three species can then be coupled with the apparent hydraulic characteristics to estimate an apparent minimum solutionhock distribution coefficient, &, for each actinide. The specific radionuclide isotopes used in these experiments were chosen to facilitate analysis. Even though these isotopes are not necessarily the same as those that are most important to WIPP performance, they are isotopes of the same elements, and . their chemical and transport properties are therefore identical to those of isotopes in the WIPP inventory. The retardation factors and & values deduced from experimental results strongly support the contention that sorption in the Culebra provides an effective barrier to release of Th, Pu, and Am during the regulatory period.

Brown, G.O.; Lucero, D.A.; Perkins, W.G.

1999-01-01T23:59:59.000Z

168

Estimates of health risks associated with radionuclide emissions from fossil-fueled steam-electric generating plants. Final report  

SciTech Connect (OSTI)

Under the Title III, Section 112 of the 1990 Clean Air Act Amendment, Congress directed the U.S. Environmental Protection Agency (EPA) to perform a study of the hazards to public resulting from pollutants emitted by electric utility system generating units. Radionuclides are among the groups of pollutants listed in the amendment. This report updates previously published data and estimates with more recently available information regarding the radionuclide contents of fossil fuels, associated emissions by steam-electric power plants, and potential health effects to exposed population groups.

Nelson, C.

1995-08-01T23:59:59.000Z

169

Flow at Low Water Contents: A Simple Approach for Inverse Estimation of van Genuchten-Mualem Soil Hydraulic Parameters  

E-Print Network [OSTI]

. The amount and energy status of water in a soil can affect considerably the soil hydraulic properties. While1 Flow at Low Water Contents: A Simple Approach for Inverse Estimation of van Genuchten-Mualem Soil BP 7021, Burkina Faso Abstract The unsaturated soil hydraulic properties (the soil water

Paris-Sud XI, Université de

170

Parameter Estimates for a PEMFC Cathode Qingzhi Guo,* Vijay A. Sethuraman,* and Ralph E. White**,z  

E-Print Network [OSTI]

PEMFC cathode the volume fraction of gas pores in the gas diffusion layer, the volume fraction of gas in this work indicate that ionic conduction and gas-phase transport are two processes significantly influencing submitted air cathode model8 that includes gas pores in the CAL to estimate the values of the volume

Sethuraman, Vijay A.

171

Analysis of forest environmental measurements to estimate parameters of microclimate and air-pollution deposition-velocity models  

SciTech Connect (OSTI)

A method is described for estimating flux densities and deposition of gaseous pollutants for a period of a year or more, using data collected for a period of a few days. The estimates are based on models which characterize the transfer of gases from the atmosphere to the vegetation as a series of resistances and then use linear statistical submodels based on experimental data to relate the resistances to the surrounding environment. The models are shown to fit the experimental data reasonably well. Annual values calculated for a young loblolly pine plantation were: evaporation 63.2 cm, carbon dioxide exchange 31.5 t/ha, and sulfur dioxide exchange 120 gm/ha. 17 references.

Murphy, Jr, C E; Lorenz, R

1983-01-01T23:59:59.000Z

172

A new method to estimate annual solar wind parameters and contributions of different solar wind structures to geomagnetic activity  

E-Print Network [OSTI]

In this paper, we study two sets of local geomagnetic indices from 26 stations using the principal component (PC) and the independent component (IC) analysis methods. We demonstrate that the annually averaged indices can be accurately represented as linear combinations of two first components with weights systematically depending on latitude. We show that the annual contributions of coronal mass ejections (CMEs) and high speed streams (HSSs) to geomagnetic activity are highly correlated with the first and second IC. The first and second ICs are also found to be very highly correlated with the strength of the interplanetary magnetic field (IMF) and the solar wind speed, respectively, because solar wind speed is the most important parameter driving geomagnetic activity during HSSs while IMF strength dominates during CMEs. These results help in better understanding the long-term driving of geomagnetic activity and in gaining information about the long-term evolution of solar wind parameters and the different sol...

Holappa, Lauri; Asikainen, Timo

2015-01-01T23:59:59.000Z

173

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

SciTech Connect (OSTI)

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

174

Life Estimation of PWR Steam Generator U-Tubes Subjected to Foreign Object-Induced Fretting Wear  

SciTech Connect (OSTI)

This paper presents an approach to the remaining life prediction of steam generator (SG) U-tubes, which are intact initially, subjected to fretting-wear degradation due to the interaction between a vibrating tube and a foreign object in operating nuclear power plants. The operating SG shell-side flow field conditions are obtained from a three-dimensional SG flow calculation using the ATHOS3 code. Modal analyses are performed for the finite element models of U-tubes to get the natural frequency, corresponding mode shape, and participation factor. The wear rate of a U-tube caused by a foreign object is calculated using the Archard formula, and the remaining life of the tube is predicted. Also discussed in this study are the effects of the tube modal characteristics, external flow velocity, and tube internal pressure on the estimated results of the remaining life of the tube.

Jo, Jong Chull; Jhung, Myung Jo; Kim, Woong Sik; Kim, Hho Jung [Korea Institute of Nuclear Safety (Korea, Republic of)

2005-10-15T23:59:59.000Z

175

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

SciTech Connect (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 reference manual for the commands specification for the DAKOTA software, providing input overviews, option descriptions, and example specifications.

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

176

DAKOTA, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 reference manual  

SciTech Connect (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 reference manual for the commands specification for the DAKOTA software, providing input overviews, option descriptions, and example specifications.

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); 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; Guinta, Anthony A.; Brown, Shannon L.

2006-10-01T23:59:59.000Z

177

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

SciTech Connect (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

178

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

SciTech Connect (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 developers manual for the DAKOTA software and describes the DAKOTA class hierarchies and their interrelationships. It derives directly from annotation of the actual source code and provides detailed class documentation, including all member functions and attributes.

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

179

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

SciTech Connect (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

180

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

SciTech Connect (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

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

Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 developers manual.  

SciTech Connect (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 developers manual for the DAKOTA software and describes the DAKOTA class hierarchies and their interrelationships. It derives directly from annotation of the actual source code and provides detailed class documentation, including all member functions and attributes.

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

2006-10-01T23:59:59.000Z

182

Presented at the IEEE Computer Vision and Pattern Recognition Conference 2014 Geometric Generative Gaze Estimation (G3  

E-Print Network [OSTI]

, in Human Computer Interfaces (HCI) gaze information coordinated with other user inputs can lead fields. In psychology and sociology, gaze information helps to infer inner states of people Color distributions Visual target Geometric parameters Eyelids openinglocation Person-wise parameters

183

Estimating extinction risk under climate change: next-generation models simultaneously incorporate demography, dispersal, and biotic interactions  

E-Print Network [OSTI]

interactions Estimating species-level extinction risk underin predicting species-level extinction risk under climateto assess extinction risk of select species under climate

Kissling, W. Daniel

2013-01-01T23:59:59.000Z

184

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

185

Estimation of genetic and environmental parameters of six broiler traits in two breeds of chickens and their reciprocal crosses by a series of diallel mating  

E-Print Network [OSTI]

by the Regression M e t h o d..... 66 Diallel Mating ............................................... . 67 Test of Significance of Interaction Mean Square ........ ES Estimation of Non-Additive Gene Effects ................. 7^ (a) The First Method... .................... 3^ 6. The portions of genetic variance contained in the different components ....................................... 37 7* A comparison of reproductive efficiency of the four mating types ................................................ ^0 8...

Kan, Jimmy Hung-Kei

1958-01-01T23:59:59.000Z

186

An estimate of the error caused by the elongation of the wavelength in a focused beam in free-space electromagnetic parameters measurement  

SciTech Connect (OSTI)

A pair of spot-focusing horn lens antenna is the key component in a free-space measurement system. The electromagnetic constitutive parameters of a planar sample are determined using transmitted and reflected electromagnetic beams. These parameters are obtained from the measured scattering parameters by the microwave network analyzer, thickness of the sample, and wavelength of a focused beam on the sample. Free-space techniques introduced by most papers consider the focused wavelength as the free-space wavelength. But in fact, the incident wave projected by a lens into the sample approximates a Gaussian beam, thus, there has an elongation of the wavelength in the focused beam and this elongation should be taken into consideration in dielectric and magnetic measurement. In this paper, elongation of the wavelength has been analyzed and measured. Measurement results show that the focused wavelength in the vicinity of the focus has an elongation of 1%–5% relative to the free-space wavelength. Elongation's influence on the measurement result of the permittivity and permeability has been investigated. Numerical analyses show that the elongation of the focused wavelength can cause the increase of the measured value of the permeability relative to traditionally measured value, but for the permittivity, it is affected by several parameters and may increase or decrease relative to traditionally measured value.

Zhang, Yunpeng; Li, En, E-mail: lien@uestc.edu.cn; Guo, Gaofeng; Xu, Jiadi; Wang, Chao [School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731 (China)

2014-09-15T23:59:59.000Z

187

Joko Tingkir program for estimating tsunami potential rapidly  

SciTech Connect (OSTI)

The purpose of the study was to estimate P-wave rupture durations (T{sub dur}), dominant periods (T{sub d}) and exceeds duration (T{sub 50Ex}) simultaneously for local events, shallow earthquakes which occurred off the coast of Indonesia. Although the all earthquakes had parameters of magnitude more than 6,3 and depth less than 70 km, part of the earthquakes generated a tsunami while the other events (Mw=7.8) did not. Analysis using Joko Tingkir of the above stated parameters helped understand the tsunami generation of these earthquakes. Measurements from vertical component broadband P-wave quake velocity records and determination of the above stated parameters can provide a direct procedure for assessing rapidly the potential for tsunami generation. The results of the present study and the analysis of the seismic parameters helped explain why the events generated a tsunami, while the others did not.

Madlazim,, E-mail: m-lazim@physics.its.ac.id; Hariyono, E., E-mail: m-lazim@physics.its.ac.id [Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Surabaya (UNESA) , Jl. Ketintang, Surabaya 60231 (Indonesia)

2014-09-25T23:59:59.000Z

188

Cardiovascular parameter estimation using a computational model  

E-Print Network [OSTI]

Modern intensive care units are equipped with a wide range of patient monitoring devices, each continuously recording signals produced by the human body. Currently, these signals need to be interpreted by a clinician in ...

Samar, Zaid

2005-01-01T23:59:59.000Z

189

Nonlinear parameter estimation in parallel computing environments  

E-Print Network [OSTI]

to solve these issues with respect to PEST. We then propose a hierarchical parallel control structure for PEST based on the manager-worker parallel programming model. We also discuss in detail the implementation of the parallel version of PEST in an Intel...

Li, Jie

1996-01-01T23:59:59.000Z

190

Parameter estimation of a linear vehicle model  

E-Print Network [OSTI]

(1987) . It has already been seen that the discrete-time vehicle model can be described by equation 5. 1 as Y(kr) = Md CdY((k 1)r) Md Rdr((k 2)Y) +ldd SldU((k 1)Y) + Md 82dU((k 1)Y) + N(kr) + Md CdN((k-1)Y) + ldd RdN((k ? 2) Y) A discrete state...-space representation of the model of the form T(k+1) = [F ]T(k) + [G ]U? X(k) = [HQT(k) Y(k) = X(k) + N(k) is now sought. If the state vector I (k) is given by (5. 28) x(k) 1(k) = X(k+1) Md SldU(k) then the state-space model can be described as follows: (5...

Helin, Franz

1990-01-01T23:59:59.000Z

191

Thermal Hydraulic Simulations, Error Estimation and Parameter  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism in Layered NbS2 andThe1 Members ThemeTherapeutic

192

Importance and sensitivity of parameters affecting the Zion Seismic Risk  

SciTech Connect (OSTI)

This report presents the results of a study on the importance and sensitivity of structures, systems, equipment, components and design parameters used in the Zion Seismic Risk Calculations. This study is part of the Seismic Safety Margins Research Program (SSMRP) supported by the NRC Office of Nuclear Regulatory Research. The objective of this study is to provide the NRC with results on the importance and sensitivity of parameters used to evaluate seismic risk. These results can assist the NRC in making decisions dealing with the allocation of research resources on seismic issues. This study uses marginal analysis in addition to importance and sensitivity analysis to identify subject areas (input parameter areas) for improvements that reduce risk, estimate how much the improvement dfforts reduce risk, and rank the subject areas for improvements. Importance analysis identifies the systems, components, and parameters that are important to risk. Sensitivity analysis estimates the change in risk per unit improvement. Marginal analysis indicates the reduction in risk or uncertainty for improvement effort made in each subject area. The results described in this study were generated using the SEISIM (Systematic Evaluation of Important Safety Improvement Measures) and CHAIN computer codes. Part 1 of the SEISIM computer code generated the failure probabilities and risk values. Part 2 of SEISIM, along with the CHAIN computer code, generated the importance and sensitivity measures.

George, L.L.; O'Connell, W.J.

1985-06-01T23:59:59.000Z

193

A simple method to estimate interwell autocorrelation  

SciTech Connect (OSTI)

The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.

Pizarro, J.O.S.; Lake, L.W. [Univ. of Texas, Austin, TX (United States)

1997-08-01T23:59:59.000Z

194

Estimating Methods  

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

Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

1997-03-28T23:59:59.000Z

195

: Helmholtz machine estimation .  

E-Print Network [OSTI]

: Helmholtz machine density estimation . . : . . . (supervised learning) , (active learning) (query learning) [1, 3]. . (unsupervised learning), . , [5]. . Helmholtz machine , . Helmholtz machine : Helmholtz machine [2] . Helmholtz machine (generative network) (recognition network) . , , . Helmholtz machine (self

196

The energy balancing parameter  

E-Print Network [OSTI]

A parameter method is introduced in order to estimate the relationship among the various variables of a system in equilibrium, where the potential energy functions are incompletely known or the quantum mechanical calculations very difficult. No formal proof of the method is given; instead, a sufficient number of valuable examples are shown to make the case for the method's usefulness in classical and quantum systems. The mathematical methods required are quite elementary: basic algebra and minimization of power functions. This method blends advantageously with a simple but powerful approximate method for quantum mechanics, sidestepping entirely formal operators and differential equations. It is applied to the derivation of various well-known results involving centrally symmetric potentials for a quantum particle such as the hydrogen-like atom, the elastic potential and other cases of interest. The same formulas provide estimates for previously unsolved cases. PACS: 03.65.-w 30.00.00

Walton R. Gutierrez

2011-05-10T23:59:59.000Z

197

Updated Capital Cost Estimates for Utility Scale Electricity  

E-Print Network [OSTI]

Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants April 2013 Information Administration | Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants ii for Utility Scale Electricity Generating Plants ii Contents Introduction

198

Inverse Modeling of Hydrologic Parameters Using Surface Flux and Runoff Observations in the Community Land Model  

SciTech Connect (OSTI)

This study demonstrates the possibility of inverting hydrologic parameters using surface flux and runoff observations in version 4 of the Community Land Model (CLM4). Previous studies showed that surface flux and runoff calculations are sensitive to major hydrologic parameters in CLM4 over different watersheds, and illustrated the necessity and possibility of parameter calibration. Two inversion strategies, the deterministic least-square fitting and stochastic Markov-Chain Monte-Carlo (MCMC) - Bayesian inversion approaches, are evaluated by applying them to CLM4 at selected sites. The unknowns to be estimated include surface and subsurface runoff generation parameters and vadose zone soil water parameters. We find that using model parameters calibrated by the least-square fitting provides little improvements in the model simulations but the sampling-based stochastic inversion approaches are consistent - as more information comes in, the predictive intervals of the calibrated parameters become narrower and the misfits between the calculated and observed responses decrease. In general, parameters that are identified to be significant through sensitivity analyses and statistical tests are better calibrated than those with weak or nonlinear impacts on flux or runoff observations. Temporal resolution of observations has larger impacts on the results of inverse modeling using heat flux data than runoff data. Soil and vegetation cover have important impacts on parameter sensitivities, leading to the different patterns of posterior distributions of parameters at different sites. Overall, the MCMC-Bayesian inversion approach effectively and reliably improves the simulation of CLM under different climates and environmental conditions. Bayesian model averaging of the posterior estimates with different reference acceptance probabilities can smooth the posterior distribution and provide more reliable parameter estimates, but at the expense of wider uncertainty bounds.

Sun, Yu; Hou, Zhangshuan; Huang, Maoyi; Tian, Fuqiang; Leung, Lai-Yung R.

2013-12-10T23:59:59.000Z

199

Cost Estimator  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve as a senior cost and schedule estimator who is responsible for preparing life-cycle cost and schedule estimates and analyses associated with the...

200

Diophantine Generation,  

E-Print Network [OSTI]

Diophantine Generation, Horizontal and Vertical Problems, and the Weak Vertical Method Alexandra Shlapentokh Diophantine Sets, Definitions and Generation Diophantine Sets Diophantine Generation Properties of Diophantine Generation Diophantine Family of Z Diophantine Family of a Polynomial Ring Going Down Horizontal

Shlapentokh, Alexandra

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

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

SciTech Connect (OSTI)

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

202

Application of GRS method to evaluation of uncertainties of calculation parameters of perspective sodium-cooled fast reactor  

SciTech Connect (OSTI)

A number of recent studies have been devoted to the estimation of errors of reactor calculation parameters by the GRS (Generation Random Sampled) method. This method is based on direct sampling input data resulting in formation of random sets of input parameters which are used for multiple calculations. Once these calculations are performed, statistical processing of the calculation results is carried out to determine the mean value and the variance of each calculation parameter of interest. In our study this method is used for estimation of errors of calculation parameters (K{sub eff}, power density, dose rate) of a perspective sodium-cooled fast reactor. Neutron transport calculations were performed by the nodal diffusion code TRIGEX and Monte Carlo code MMK. (authors)

Peregudov, A.; Andrianova, O.; Raskach, K.; Tsibulya, A. [Inst. for Physics and Power Engineering, Bondarenko Square 1, Obninsk 244033, Kaluga Region (Russian Federation)

2012-07-01T23:59:59.000Z

203

Generated using V3.2 of the official AMS LATEX templatejournal page layout FOR AUTHOR USE ONLY, NOT FOR SUBMISSION! Constraining a system of interacting parameterizations through multiple-parameter  

E-Print Network [OSTI]

Generated using V3.2 of the official AMS LATEX template­journal page layout FOR AUTHOR USE ONLY Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands A. P. Siebesma Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands Delft University of Technology, Delft, The Netherlands

Siebesma, Pier

204

Estimation of food consumption  

SciTech Connect (OSTI)

The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.

Callaway, J.M. Jr.

1992-04-01T23:59:59.000Z

205

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

SciTech Connect (OSTI)

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

206

1. Generation 1 1. Generation  

E-Print Network [OSTI]

1. Generation 1 _________________________________________________________________________ 1. Generation Sound and vibrations or, in more general terms, oscillations of matter (solids or fluids) are generated in many different dynamic processes. The basic mechanisms which underlie these oscillations

Berlin,Technische Universität

207

Generating Resources Advisory Committee  

E-Print Network [OSTI]

Capital and O&M Cost Estimates 10:15 am Reciprocating Engine Technologies John Robbins of Wartsila North) Capital Cost ($/kW) Heat Rate (Btu/kWh) Ramp Rate (Minutes) Biggest Most expensive Least Efficient SlowestGenerating Resources Advisory Committee February 27, 2014 Steven Simmons and Gillian Charles

208

Distributed Generation with Heat Recovery and Storage  

E-Print Network [OSTI]

of fossil fuel sources of waste heat and other lossesthat this is only the waste heat from fossil generation,an estimate of the total waste heat from fossil generation

Siddiqui, Afzal S.; Marnay, Chris; Firestone, Ryan M.; Zhou, Nan

2008-01-01T23:59:59.000Z

209

Impact of Baryonic Processes on Weak Lensing Cosmology: Higher-Order Statistics and Parameter Bias  

E-Print Network [OSTI]

We study the impact of baryonic physics on cosmological parameter estimation with weak lensing surveys. We run a set of cosmological hydrodynamics simulations with different galaxy formation models. We then perform ray-tracing simulations through the total matter density field to generate 100 independent convergence maps of 25 deg$^2$ field-of-view, and use them to examine the ability of the following three lensing statistics as cosmological probes; power spectrum, peak counts, and Minkowski Functionals. For the upcoming wide-field observations such as Subaru Hyper Suprime-Cam (HSC) survey with a sky coverage of 1400 deg$^2$, the higher-order statistics provide tight constraints on the matter density, density fluctuation amplitude, and dark energy equation of state, but appreciable parameter bias is induced by the baryonic processes such as gas cooling and stellar feedback. When we use power spectrum, peak counts, and Minkowski Functionals, the relative bias in the dark energy equation of state parameter $w$ ...

Osato, Ken; Yoshida, Naoki

2015-01-01T23:59:59.000Z

210

Flight test techniques for aircraft parameter estimation in ground effect  

E-Print Network [OSTI]

Longitudinal Noise Levels 85 Table 18 Longitudinal Results - Noise Level 1 87 Table 19 Longitudinal Signal-to-Noise Ratios - Maneuver 2a.. 91 ix Page Table 20 Longitudinal Signal-to-Noise Ratios - Maneuver 2b. 92 Table 21 Lateral-Directional Signal... Doublet (Maneuver 6b) 59 Figure 21 Longitudinal Results at Precision Level 1 63 Figure 22 Longitudinal Results at Precision Level 2 63 Figure 23 Longitudinal Results at Precision Level 3 64 Figure 24 Longitudinal Results at Precision Level 4 65 Figure...

Clark, James Matthew

2012-06-07T23:59:59.000Z

211

Optimal Parameter Estimation with Homogeneous Entities and Arbitrary  

E-Print Network [OSTI]

, Wolfgang F¨orstner2 , and Christian Beder 1 Research Institute for Optronics and Pattern Recognition

212

MODELING AND PARAMETER ESTIMATION FOR AN IMPERFECTLY CLAMPED PLATE \\Lambda  

E-Print Network [OSTI]

of accounting for the energy loss when this assumption is not appropriate, it is necessary to provide a more techniques are out­ lined. Finally, under natural assumptions for this model and approximation scheme displacements and slopes are maintained at the boundaries. For example, this can be an appro­ priate assumption

213

Parameter Estimates for High-Level Nuclear Transport in Fractured ...  

E-Print Network [OSTI]

Oct 11, 2001 ... that takes the relevant time scales of the ow and the nuclear decay. ... ably accurate description of the transport and dispersion of nuclear ...

2001-10-11T23:59:59.000Z

214

TWO-DIMENSIONAL POLYNOMIAL PHASE SIGNALS: PARAMETER ESTIMATION AND BOUNDS  

E-Print Network [OSTI]

, the problem of modeling and analyzing Synthetic Aperture Radar (SAR) data, and in particular Interferometric SAR (INSAR) images, involves the analysis of complex valued 2-D non-homogeneous signals. Perspective such as camera calibration and the computation of shape from texture. Existing solutions to problems where

Francos, Joseph M.

215

Efficient Bayesian Parameter Estimation in Large Discrete Domains  

E-Print Network [OSTI]

of words that follow a particular word, say ``Bosnia''. If we do not have any prior knowledge, we can to believe that in fact, only few words, such as ``Herzegovina'', should naturally follow the word ``Bosnia

Friedman, Nir

216

Efficient Bayesian Parameter Estimation in Large Discrete Domains  

E-Print Network [OSTI]

of words that follow a particular word, say "Bosnia". If we do not have any prior knowledge, we can to believe that in fact, only few words, such as "Herzegovina", should naturally follow the word "Bosnia

Friedman, Nir

217

Approximation Results for Parameter Estimation in Nonlinear Elastomers  

E-Print Network [OSTI]

­Hookean elastomer rod is given by aeAw tt +A 1 w +A 2 w t +D \\Lambda ~ g(Dw) = F in V \\Lambda : (1.6) If this model; `). Then equation (1.4) with the specified boundary conditions can be written in the variational form: aeAw tt +A 1 w +D \\Lambda ~ g(Dw) = F in V \\Lambda ; (1.5) where A 1 2 L(V; V \\Lambda ) is given by hA 1 '; /i V

218

Design of a robust parameter estimator for nominally Laplacian noise  

E-Print Network [OSTI]

, and = 0.3 : : : 61 XI k as a function of , which maximizes J for 2 = 2, and = 0.5 : : : 62 XII k as a function of , which maximizes J for 2 = 2, and = 0.9 : : : 63 XIII k as a function of , which maximizes J for 2 = 1, and = 0.01 : : 64 XIV k... for 2 = 1, and = 0.08 : : 71 XXI k as a function of , which maximizes J for 2 = 1, and = 0.09 : : 72 XXII k as a function of , which maximizes J for 2 = 1, and = 0.3 : : : 73 XXIII k as a function of , which maximizes J for 2 = 1, and = 0.5...

Bhagawat, Pankaj

2004-09-30T23:59:59.000Z

219

Estimation of Groundwater Flow Parameters Using Least Squares  

E-Print Network [OSTI]

conductivity. Wells are expensive to drill, and the cost of time, equipment and manpower to make accurate) is based on Darcy's emperical law for fluid flow through a porous media. This states that ~v = \\GammaK ~ rh

220

Parameter Estimation Using Dual Fractional Power Filters Jason M. Kinser  

E-Print Network [OSTI]

discriminant functions (SDF) which are reviewed in ref. 9. Unlike the previous methods, the SDF class of the SDF class. These filters are Fractional Power Filters (FPFs) which will be reviewed in Section 2 is a superset of two standard SDF-class filters: the SDF and the MACE filter. This section will review the SDF

Kinser, Jason M.

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

Estimation of Atmospheric PSF Parameters for Hyperspectral Imaging  

E-Print Network [OSTI]

from the online tutorial: http://personalpages.manchester.ac.uk/staff/ david.foster/Tutorial_HSI2RGB

Plemmons, Robert J.

222

Online parameter estimation applied to mixed conduction/radiation  

E-Print Network [OSTI]

)(xa0 ? ^a0)T = 2 66 66 4 P0 0 0 0 Rv 0 0 0 Rn 3 77 77 5 (3.36) Calculate sigma points : Xak?1 = ? ^k?1a ^k?1a + ?pPak?1 ^k?1a ? ?pPak?1 ? (3.37) Time update equations Xxkjk?1 = F(Xxkjk?1;uk?1;Xvk?1) (3.38) ^k? = 2LX i=0 W(m)i Xxi;kjk?1 (3.39) P?k = 2LX... i=0 W(c)i (Xxi;kjk?1 ? ^k?)(Xxi;kjk?1 ? ^k?)T (3.40) Ykjk?1 = H(Xxkjk?1;Xnk?1) (3.41) ^k? = 2LX i=0 W(m)i Yi;kjk?1 (3.42) Measurement update equations P ~yk ~yk = 2LX i=0 W(c)i (Yi;kjk?1 ? ^k?)(Yi;kjk?1 ? ^k?)T (3.43) Pxkyk = 2LX i=0 W(c)i (Xi;kjk?1...

Shah, Tejas Jagdish

2005-08-29T23:59:59.000Z

223

Estimating type curve parameters with the cumulative curvature method  

E-Print Network [OSTI]

situations remain: the well test data span may be inadequate for the replots, and the required programming of the statistical techniques causes problems for the well test. analyst. 10 10 s =20 5 = 10 s 5 s=0 s=-5 c, ~ 7 10 10 10 4 10 10 10 Pig. 1... ~0 Oq 10 10 10 tp/CO 10 Fig. 2 ? Gringatten type - utsres Cn 100 gs C e" V CI CI A O. 10 1030 10 io ~~&~~& ~ 0 . . 3 0. 1 0. 1 10 I; 100 'D Fig. 3 ? Bcnrdet press&. . re derivstive type curves 1000 10000 Inade uate Data...

Harris, Dan Edward

1986-01-01T23:59:59.000Z

224

ARM - Evaluation Product - Radiatively Important Parameters Best Estimate  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation(AVIRIS) ProductsAirborne Visible/InfraredProductsMicroPulse LIDAR Cloudthe CSAPR(RIPBE)

225

ESPRIT-Based Estimation of Location and Motion Dependent Parameters  

E-Print Network [OSTI]

algorithms applicable to Non-Line-of-Sight (NLoS) environments1 . I. INTRODUCTION Traditional geometrical of localization techniques that perform good in strictly NLoS environments can be found in [1] for static channelsEurecom's research is partially supported by its industrial members: BMW Group Research & Technology

Gesbert, David

226

Estimation of parameters governing the transmission dynamics of ...  

E-Print Network [OSTI]

humans is assessed using prevalence of morbidity as a measure of the level of .... squares fits by negative exponentials (solid curves). .... J. Bethony et al., Exposure to Schistosoma mansoni infection in a rural area in Brazil II: Household risk.

227

Determination of the Kinetic Parameters of Atom Transfer Radical Polymerizations  

E-Print Network [OSTI]

Determination of the Kinetic Parameters of Atom Transfer Radical Polymerizations Young-Je Kwark a novel catalyst system for atom transfer radical polymerization (ATRP), a parameter estimation method parameters of polymerization. From our model system considering small molecular atom transfer addition

228

Measuring neutrino oscillation parameters using $\  

SciTech Connect (OSTI)

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

229

Experimental and theoretical analysis of a thermoelectric generator  

SciTech Connect (OSTI)

The primary objectives of this study were to develop models for studying performance of a thermoelectric generator for the case of steady-state, and transient problems; and to develop a method and procedure for analyzing data taken experimentally and compare them with the theoretical results. The work is divided into primary areas that involve (i) model development and linear and nonlinear parameter estimations, (ii) experimental tests, and (iii) design and simulation. Analysis and experiments were conducted to describe the effects of the leg-surface heat loss, and the temperature difference on the performance of a thermoelectric generator. Two numerical models that treat the problem of thermoelectric generator, linear and nonlinear were developed. A Global Corporation model 5120, 120-watt thermoelectric generator system was tested in the 5-kW NMSU/PSL solar furnace at two different hot and cold junction temperatures. The developed computer models were used for design and simulation of an auto thermoelectric generator (Automobile Thermoelectric Generator) that converts waste heat from the car engine directly to the electrical power as a substitute device for the electrical generator used in cars.

Moghaddas, M.H.

1986-01-01T23:59:59.000Z

230

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

231

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

232

Anticipatory control of turbine generators  

E-Print Network [OSTI]

of Turbine Generators. (Nay 1971) Freddie Laurel Nessec, B. S. E. E, , Texas Tech University; Directed by: Professor J. S . Denison An investigation is made of the use of predicted loads in controlling turbine generators. A perturbation model of a turbine... generator is presented along with typical parameter values. A study is made of the effects of applying control action before a load change occurs. Two predictive control schemes are investi- gated using a load cycle which incorporates both ramp and step...

Messec, Freddie Laurel

1971-01-01T23:59:59.000Z

233

Rank-Based Estimation for GARCH Processes Beth Andrews  

E-Print Network [OSTI]

Rank-Based Estimation for GARCH Processes Beth Andrews Northwestern University September 7, 2011 Abstract We consider a rank-based technique for estimating GARCH model parameters, some of which are scale transformations of conventional GARCH parameters. The estimators are obtained by minimizing a rank-based residual

Andrews, Beth

234

Distributed Generation  

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

come a long way in addressing interconnection standards for distributed generation, utilities have largely overlooked the untapped potential of these resources. Under certain...

235

Second generation PFB for advanced power generation  

SciTech Connect (OSTI)

Research is being conducted under a United States Department of Energy (USDOE) contract to develop a new type of coal-fueled plant for electric power generation. This new type of plant-called an advanced or second-generation pressurized fluidized bed combustion (APFBC) plant-offers the promise of 45-percent efficiency (HHV), with emissions and a cost of electricity that are significantly lower than conventional pulverized-coal-fired plants with scrubbers. This paper summarizes the pilot plant R&D work being conducted to develop this new type of plant. Although pilot plant testing is still underway, preliminary estimates indicate the commercial plant Will perform better than originally envisioned. Efficiencies greater than 46 percent are now being predicted.

Robertson, A.; Van Hook, J.

1995-11-01T23:59:59.000Z

236

Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis  

SciTech Connect (OSTI)

Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e-waste estimation studies.

Wang, Feng, E-mail: fwang@unu.edu [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Huisman, Jaco [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Stevels, Ab [Design for Sustainability Lab, Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628CE Delft (Netherlands); Baldé, Cornelis Peter [Institute for Sustainability and Peace, United Nations University, Hermann-Ehler-Str. 10, 53113 Bonn (Germany); Statistics Netherlands, Henri Faasdreef 312, 2492 JP Den Haag (Netherlands)

2013-11-15T23:59:59.000Z

237

Thermoelectric Generators 1. Thermoelectric generator  

E-Print Network [OSTI]

. Cold Hot I - -- - - - - -- Figure 1 Electron concentration in a thermoelectric material. #12;2 A large1 Thermoelectric Generators HoSung Lee 1. Thermoelectric generator 1.1 Basic Equations In 1821 on the direction of current and material [3]. This is called the Thomson effect (or Thomson heat). These three

Lee, Ho Sung

238

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

SciTech Connect (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

239

Oil reservoir properties estimation using neural networks  

SciTech Connect (OSTI)

This paper investigates the applicability as well as the accuracy of artificial neural networks for estimating specific parameters that describe reservoir properties based on seismic data. This approach relies on JPL`s adjoint operators general purpose neural network code to determine the best suited architecture. The authors believe that results presented in this work demonstrate that artificial neural networks produce surprisingly accurate estimates of the reservoir parameters.

Toomarian, N.B. [California Inst. of Tech., Pasadena, CA (United States); Barhen, J.; Glover, C.W. [Oak Ridge National Lab., TN (United States). Center for Engineering Systems Advanced Research; Aminzadeh, F. [UNOCAL Corp., Sugarland, TX (United States)

1997-02-01T23:59:59.000Z

240

Topics on Regularization of Parameters in Multivariate Linear Regression  

E-Print Network [OSTI]

are selected. Estimating the degrees of freedom when penalizing the entries of the matrices presents new computational challenges. A simulation study and real data analysis demonstrate that the MRCEII, which selects the tuning parameter of the precision matrix...

Chen, Lianfu

2012-02-14T23:59:59.000Z

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

Short Communication A modified simulated annealing algorithm for estimating solute  

E-Print Network [OSTI]

. The proposed three strategies are: (1) imposing parameter space constraints; (2) adding a valve value for inner transport parameters: longitudinal dispersion coefficient, cross-sectional averaged flow velocity coefficient; Parameter estimation 1. Introduction Important parameters that govern the transport of solute

Kurien, Susan

242

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

SciTech Connect (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

243

Atmospheric parameters, spectral indexes and their relation to CPV spectral performance  

SciTech Connect (OSTI)

Air Mass and atmosphere components (basically aerosol (AOD) and precipitable water (PW)) define the absorption of the sunlight that arrive to Earth. Radiative models such as SMARTS or MODTRAN use these parameters to generate an equivalent spectrum. However, complex and expensive instruments (as AERONET network devices) are needed to obtain AOD and PW. On the other hand, the use of isotype cells is a convenient way to characterize spectrally a place for CPV considering that they provide the photocurrent of the different internal subcells individually. Crossing data from AERONET station and a Tri-band Spectroheliometer, a model that correlates Spectral Mismatch Ratios and atmospheric parameters is proposed. Considering the amount of stations of AERONET network, this model may be used to estimate the spectral influence on energy performance of CPV systems close to all the stations worldwide.

Núñez, Rubén, E-mail: ruben.nunez@ies-def.upm.es; Antón, Ignacio, E-mail: ruben.nunez@ies-def.upm.es; Askins, Steve, E-mail: ruben.nunez@ies-def.upm.es; Sala, Gabriel, E-mail: ruben.nunez@ies-def.upm.es [Instituto de Energía Solar - Universidad Politécnica de Madrid, Instituto de Energía Solar, ETSI Telecomunicación, Ciudad Universitaria 28040 Madrid (Spain)

2014-09-26T23:59:59.000Z

244

Fracture compliance estimation using borehole tube waves  

E-Print Network [OSTI]

We tested two models, one for tube-wave generation and the other for tube-wave attenuation at a fracture intersecting a borehole that can be used to estimate fracture compliance, fracture aperture, and lateral extent. In ...

Bakku, Sudhish Kumar

245

MATLAB Functions for Profiled Estimation of  

E-Print Network [OSTI]

MATLAB Functions for Profiled Estimation of Differential Equations Giles Hooker June 23, 2010: . . . . . . . . . . . . . . . . . . . 5 2 Example: FitzHugh-Nagumo Equations 5 3 MATLAB Objects Needed for the Estimation. 6 3.1 Cell is designed to accompany a Matlab software package that esti- mates the parameters in differential equation

Keinan, Alon

246

Microwave generator  

DOE Patents [OSTI]

A microwave generator is provided for generating microwaves substantially from virtual cathode oscillation. Electrons are emitted from a cathode and accelerated to an anode which is spaced apart from the cathode. The anode has an annular slit there through effective to form the virtual cathode. The anode is at least one range thickness relative to electrons reflecting from the virtual cathode. A magnet is provided to produce an optimum magnetic field having the field strength effective to form an annular beam from the emitted electrons in substantial alignment with the annular anode slit. The magnetic field, however, does permit the reflected electrons to axially diverge from the annular beam. The reflected electrons are absorbed by the anode in returning to the real cathode, such that substantially no reflexing electrons occur. The resulting microwaves are produced with a single dominant mode and are substantially monochromatic relative to conventional virtual cathode microwave generators. 6 figs.

Kwan, T.J.T.; Snell, C.M.

1987-03-31T23:59:59.000Z

247

Hyperspectral Imaging: Training Algorithms & Data Generation  

E-Print Network [OSTI]

Hyperspectral Imaging: Training Algorithms & Data Generation REU Students: Ping Fung and Carl +exp[-2(( + s))1/2 D / 3]} 1-rlSI +(rl - SI )exp[-2(( + s))1/2 D / 3] Data Generation To apply our possible parameters is impractical, so we generate approximate spectra using a physical model based

Mountziaris, T. J.

248

Coupled multiphase flow and closure analysis of repository response to waste-generated gas at the Waste Isolation Pilot Plant (WIPP)  

SciTech Connect (OSTI)

A long-term assessment of the Waste Isolation Pilot Plant (WIPP) repository performance must consider the impact of gas generation resulting from the corrosion and microbial degradation of the emplaced waste. A multiphase fluid flow code, TOUGH2/EOS8, was adapted to model the processes of gas generation, disposal room creep closure, and multiphase (brine and gas) fluid flow, as well as the coupling between the three processes. System response to gas generation was simulated with a single, isolated disposal room surrounded by homogeneous halite containing two anhydrite interbeds, one above and one below the room. The interbeds were assumed to have flow connections to the room through high-permeability, excavation-induced fractures. System behavior was evaluated by tracking four performance measures: (1) peak room pressure; (2) maximum brine volume in the room; (3) total mass of gas expelled from the room; and (4) the maximum gas migration distance in an interbed. Baseline simulations used current best estimates of system parameters, selected through an evaluation of available data, to predict system response to gas generation under best-estimate conditions. Sensitivity simulations quantified the effects of parameter uncertainty by evaluating the change in the performance measures in response to parameter variations. In the sensitivity simulations, a single parameter value was varied to its minimum and maximum values, representative of the extreme expected values, with all other parameters held at best-estimate values. Sensitivity simulations identified the following parameters as important to gas expulsion and migration away from a disposal room: interbed porosity; interbed permeability; gas-generation potential; halite permeability; and interbed threshold pressure. Simulations also showed that the inclusion of interbed fracturing and a disturbed rock zone had a significant impact on system performance.

Freeze, G.A.; Larson, K.W. [INTERA Inc., Austin, TX (United States); Davies, P.B. [Sandia National Laboratories, Albuquerque, NM (United States)

1995-10-01T23:59:59.000Z

249

Method for estimating processability of a hydrocarbon-containing feedstock for hydroprocessing  

DOE Patents [OSTI]

Disclosed herein is a method involving the steps of (a) precipitating an amount of asphaltenes from a liquid sample of a first hydrocarbon-containing feedstock having solvated asphaltenes therein with one or more first solvents in a column; (b) determining one or more solubility characteristics of the precipitated asphaltenes; (c) analyzing the one or more solubility characteristics of the precipitated asphaltenes; and (d) correlating a measurement of feedstock reactivity for the first hydrocarbon-containing feedstock sample with a mathematical parameter derived from the results of analyzing the one or more solubility characteristics of the precipitates asphaltenes. Determined parameters and processabilities for a plurality of feedstocks can be used to generate a mathematical relationship between parameter and processability; this relationship can be used to estimate the processability for hydroprocessing for a feedstock of unknown processability.

Schabron, John F; Rovani, Jr., Joseph F

2014-01-14T23:59:59.000Z

250

Method to Filter ECGs and Evaluate Clinical Parameter Distortion using Realistic ECG Model Parameter Fitting  

E-Print Network [OSTI]

Method to Filter ECGs and Evaluate Clinical Parameter Distortion using Realistic ECG Model Abstract By fitting a previously published nonlinear model for generating realistic ECG to waveforms, the authors demonstrate that significant points (P, Q, R, S, and T) on the ECG can be determined

McSharry, Patrick E.

251

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.

252

Statistical Methods for Estimating the Minimum Thickness Along a Pipeline  

E-Print Network [OSTI]

along the pipeline can be used to estimate corrosion levels. The traditional parametric model method for this problem is to estimate parameters of a specified corrosion distribution and then to use these parameters companies use pipelines to transfer oil, gas and other materials from one place to another. Manufactures

253

Storage Ring Parameters  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAbout » Staff125,849 127,174 126,924Storage Ring Parameters

254

Generation Technologies  

E-Print Network [OSTI]

Many local governments are using green power in their facilities and providing assistance to local businesses and residents to do the same. Green power is a subset of renewable energy that is produced with no GHG emissions, typically from solar, wind, geothermal, biogas, biomass, or low-impact small hydroelectric sources, includes three types of products: utility products (i.e., green power purchased from the utility through the electricity grid), renewable energy certificates (RECs), and on-site generation. Opportunities to purchase these products are increasing significantly, with annual green power market growth rates

Green Power

2005-01-01T23:59:59.000Z

255

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

256

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.

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

257

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

258

Thermoelectric generator  

SciTech Connect (OSTI)

A thermoelectric generator unit is described comprising: a hot side heat exchanger including a plate having extruded retention posts projecting from one surface of the plate, and fins adapted for contact with a heating source. The fins are positioned between two of the retention posts. Retention rods are inserted between the retention posts and the base of the fins to retain the fin in thermal contact with the plate surface upon insertion of the retention rod between the engaging surface of the post and the corresponding fin. Thermoelectric semi-conductor modules are in thermal contact with the opposite side of the hot side heat exchanger plate from the contact with the fins. The modules are arranged in a grid pattern so that heat flow is directed into each of the modules from the hot side heat exchanger. The modules are connected electrically so as to combine their electrical output; and a cold side heat exchanger is in thermal contact with the modules acting as a heat sink on the opposite side of the module from the hot side heat exchanger plate so as to produce a thermal gradient across the modules.

Shakun, W.; Bearden, J.H.; Henderson, D.R.

1988-03-29T23:59:59.000Z

259

Quantum enhanced estimation of optical detector efficiencies  

E-Print Network [OSTI]

Quantum mechanics establishes the ultimate limit to the scaling of the precision on any parameter, by iden- tifying optimal probe states and measurements. While this paradigm is, at least in principle, adequate for the metrology of quantum channels involving the estimation of phase and loss parameters, we show that estimat- ing the loss parameters associated with a quantum channel and a realistic quantum detector are fundamentally different. While Fock states are provably optimal for the former, we identify a crossover in the nature of the optimal probe state for estimating detector imperfections as a function of the loss parameter. We provide explicit results for on-off and homodyne detectors, the most widely used detectors in quantum photonics technologies.

Barbieri, Marco; Bartley, Tim J; Jin, Xian-Min; Kolthammer, W Steven; Walmsley, Ian A

2015-01-01T23:59:59.000Z

260

Cost Estimation Package  

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

This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

1997-03-28T23:59:59.000Z

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.


261

LUNAR SOIL SIMULATION TRAFFICABILITY PARAMETERS  

E-Print Network [OSTI]

LUNAR SOIL SIMULATION and TRAFFICABILITY PARAMETERS by W. David Carrier, III Lunar Geotechnical.0 RECOMMENDED LUNAR SOIL TRAFFICABILITY PARAMETERS Table 9.14 in the Lunar Sourcebook (Carrier et al. 1991, p. 529) lists the current recommended lunar soil trafficability parameters: bc = 0.017 N/cm2 bN = 35° K

Rathbun, Julie A.

262

Introduction Minimal generation  

E-Print Network [OSTI]

Introduction Minimal generation Random generation Minimal and probabilistic generation of finite generation of finite groups #12;Introduction Minimal generation Random generation Some motivation Let x1 random elements of G = x1, . . . , xk . (G is the group generated by x1, . . . , xk : all possible

St Andrews, University of

263

Subsurface Geotechnical Parameters Report  

SciTech Connect (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

264

Check Estimates and Independent Costs  

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

Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.

1997-03-28T23:59:59.000Z

265

WIPP Compliance Certification Application calculations parameters. Part 1: Parameter development  

SciTech Connect (OSTI)

The Waste Isolation Pilot Plant (WIPP) in southeast New Mexico has been studied as a transuranic waste repository for the past 23 years. During this time, an extensive site characterization, design, construction, and experimental program was completed, which provided in-depth understanding of the dominant processes that are most likely to influence the containment of radionuclides for 10,000 years. Nearly 1,500 parameters were developed using information gathered from this program; the parameters were input to numerical models for WIPP Compliance Certification Application (CCA) Performance Assessment (PA) calculations. The CCA probabilistic codes frequently require input values that define a statistical distribution for each parameter. Developing parameter distributions begins with the assignment of an appropriate distribution type, which is dependent on the type, magnitude, and volume of data or information available. The development of the parameter distribution values may require interpretation or statistical analysis of raw data, combining raw data with literature values, scaling of lab or field data to fit code grid mesh sizes, or other transformation. Parameter development and documentation of the development process were very complicated, especially for those parameters based on empirical data; they required the integration of information from Sandia National Laboratories (SNL) code sponsors, parameter task leaders (PTLs), performance assessment analysts (PAAs), and experimental principal investigators (PIs). This paper, Part 1 of two parts, contains a discussion of the parameter development process, roles and responsibilities, and lessons learned. Part 2 will discuss parameter documentation, traceability and retrievability, and lessons learned from related audits and reviews.

Howarth, S.M.

1997-11-14T23:59:59.000Z

266

Robust Single-Qubit Process Calibration via Robust Phase Estimation  

E-Print Network [OSTI]

An important step in building a quantum computer is calibrating experimentally implemented quantum gates to produce operations that are close to ideal unitaries. The calibration step involves estimating the error in gates and then using controls to correct the implementation. Quantum process tomography is a standard technique for estimating these errors, but is both time consuming, (when one only wants to learn a few key parameters), and requires resources, like perfect state preparation and measurement, that might not be available. With the goal of efficiently estimating specific errors using minimal resources, we develop a parameter estimation technique, which can gauge two key parameters (amplitude and off-resonance errors) in a single-qubit gate with provable robustness and efficiency. In particular, our estimates achieve the optimal efficiency, Heisenberg scaling. Our main theorem making this possible is a robust version of the phase estimation procedure of Higgins et al. [B. L. Higgins, New J. Phys. 11, 073023 (2009)].

Shelby Kimmel; Guang Hao Low; Theodore J. Yoder

2015-02-09T23:59:59.000Z

267

GRID-BASED EXPLORATION OF COSMOLOGICAL PARAMETER SPACE WITH SNAKE  

SciTech Connect (OSTI)

We present a fully parallelized grid-based parameter estimation algorithm for investigating multidimensional likelihoods called Snake, and apply it to cosmological parameter estimation. The basic idea is to map out the likelihood grid-cell by grid-cell according to decreasing likelihood, and stop when a certain threshold has been reached. This approach improves vastly on the 'curse of dimensionality' problem plaguing standard grid-based parameter estimation simply by disregarding grid cells with negligible likelihood. The main advantages of this method compared to standard Metropolis-Hastings Markov Chain Monte Carlo methods include (1) trivial extraction of arbitrary conditional distributions; (2) direct access to Bayesian evidences; (3) better sampling of the tails of the distribution; and (4) nearly perfect parallelization scaling. The main disadvantage is, as in the case of brute-force grid-based evaluation, a dependency on the number of parameters, N{sub par}. One of the main goals of the present paper is to determine how large N{sub par} can be, while still maintaining reasonable computational efficiency; we find that N{sub par} = 12 is well within the capabilities of the method. The performance of the code is tested by comparing cosmological parameters estimated using Snake and the WMAP-7 data with those obtained using CosmoMC, the current standard code in the field. We find fully consistent results, with similar computational expenses, but shorter wall time due to the perfect parallelization scheme.

Mikkelsen, K.; Næss, S. K.; Eriksen, H. K., E-mail: kristin.mikkelsen@astro.uio.no [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029, Blindern, NO-0315 Oslo (Norway)

2013-11-10T23:59:59.000Z

268

Guidelines for Estimating Unmetered Industrial Water Use  

SciTech Connect (OSTI)

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

269

A procedure for oscillatory parameter identification  

SciTech Connect (OSTI)

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

270

Simplified Approach for Estimating Impacts of Electricity Generation...  

Open Energy Info (EERE)

Integrated Model to Access the Global Environment Simple Interactive Models for better air quality (SIM-air) ... further results SIMPACTS is a user-friendly, simplified approach...

271

Simplified Approach for Estimating Impacts of Electricity Generation  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-g Grant ofRichardton AbbeyARaftPadomaSierraSilver PeakWind

272

Calibrated Hydrothermal Parameters, Barrow, Alaska, 2013  

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

A model-observation-experiment process (ModEx) is used to generate three 1D models of characteristic micro-topographical land-formations, which are capable of simulating present active thaw layer (ALT) from current climate conditions. Each column was used in a coupled calibration to identify moss, peat and mineral soil hydrothermal properties to be used in up-scaled simulations. Observational soil temperature data from a tundra site located near Barrow, AK (Area C) is used to calibrate thermal properties of moss, peat, and sandy loam soil to be used in the multiphysics Advanced Terrestrial Simulator (ATS) models. Simulation results are a list of calibrated hydrothermal parameters for moss, peat, and mineral soil hydrothermal parameters.

Atchley, Adam; Painter, Scott; Harp, Dylan; Coon, Ethan; Wilson, Cathy; Liljedahl, Anna; Romanovsky, Vladimir

273

D&D Waste Estimate Validation  

SciTech Connect (OSTI)

Rocky Flats Closure Project (Site) includes several multi-year decontamination and decommissioning (D&D) projects which, over the next four years, will dismantle and demolish four major plutonium facilities, four major uranium facilities, and over 400 additional facilities of different types. The projects are currently generating large quantities of transuranic, low-level, mixed, hazardous, and sanitary wastes. A previous paper described the initial conceptual estimates and methods, and the evolution of these methods based on the actual results from the decommissioning of a ''pilot'' facility. The waste estimating method that resulted from that work was used for the waste estimates incorporated into the current Site baseline. This paper discusses subsequent developments on the topic of waste estimating that have occurred since the baseline work. After several months of operation under the current Site baseline, an effort was initiated to either validate or identify improvements to the waste basis-of-estimate. Specific estimate and estimating method elements were identified for additional analysis based on the element's potential for error and the impact of that error on Site activities. The analysis took advantage of actual, more detailed data collected both from three years additional experience in decommissioning a second plutonium facility and from experience in deactivating certain non-plutonium facilities. It compared the actual transuranic and low-level waste generation against their respective estimates based on overall distribution and for individual media (i.e. equipment type), and evaluated trends. Finally, it projected the quantity of lead-characteristic low-level mixed waste that will be generated from plutonium building decommissioning and upgraded the decommissioning waste estimates of the non-plutonium buildings.

Sanford, P. C.; Templeton, J. H.; Stevens, J. L.; Dorr, K.

2002-02-25T23:59:59.000Z

274

Exploiting the Impact of Database System Configuration Parameters: A Design of Experiments Approach  

E-Print Network [OSTI]

in determining DBMS performance. However, the number of configuration parameters in a DBMS is very large may have no or marginal effects on the DBMS performance for the given query workload. Database of input parameters. Second, we exploit the estimated effects to: 1) rank DBMS configuration parameters

Minnesota, University of

275

Asymptotics and computations for approximation of method of regularization estimators  

E-Print Network [OSTI]

, 1973) and one-sided cross-validation (Hart and Yi, 1998) can be employed for the MOR estimator. Rice (1986) demonstrated that a reasonable choice of the smoothing parameter for making mean squared error small for estimating ? may not be reasonable... in terms of the estimation error incurred for f, and vice versa. O'Sullivan (1986) overviewed various issues in MOR estimation and the solution to ill-posed inverse problems with an extension of CV and related smoothing parameter selection criteria...

Lee, Sang-Joon

2005-08-29T23:59:59.000Z

276

Effect of Temporal Acquisition Parameters on the Image Quality of Ultrasound Axial Strain Time-constant Elastograms  

E-Print Network [OSTI]

constant (TC) have been developed. The axial strain TC is a parameter that is related to the viscoelastic and poroelastic behavior of tissues. Estimation of this parameter can be done using curve fitting methods. However, the effect of temporal...

Varghese, Joshua

2011-08-02T23:59:59.000Z

277

Types of Cost Estimates  

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

The chapter describes the estimates required on government-managed projects for both general construction and environmental management.

1997-03-28T23:59:59.000Z

278

Setting a retail generation credit  

SciTech Connect (OSTI)

While the additional cost components will vary depending on the way that the wholesale energy component is calculated, at minimum a generation credit should recognize the following costs: Additional value of shaping or load-following; Premia associated with the risks of serving retail load; Transmission costs incurred by competitive suppliers; Commercial costs; and Reasonable profits. In this article the author reviews the construction of a generation credit, starting with three different ways to compute the wholesale cost of electric energy--as a forecast, as a forward price, or from the spot market--and then moving to consideration of additional cost items. Throughout the authors attempts to estimate the costs an efficient competitor will incur in order to illustrate the difference between a retail generation credit and a wholesale price index.

Jacobs, J.M.

1999-05-01T23:59:59.000Z

279

Systems Engineering Cost Estimation  

E-Print Network [OSTI]

on project, human capital impact. 7 How to estimate Cost? Difficult to know what we are building early on1 Systems Engineering Lecture 3 Cost Estimation Dr. Joanna Bryson Dr. Leon Watts University of Bath: Contrast approaches for estimating software project cost, and identify the main sources of cost

Bryson, Joanna J.

280

Understanding and Managing Generation Y  

E-Print Network [OSTI]

There are four generations in the workplace today; they consist of the Silent Generation, Baby Boom Generation, Generation X, and Generation Y. Generation Y, being the newest generation, is the least understood generation although marketers...

Wallace, Kevin

2007-12-14T23:59:59.000Z

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

The reach of the ATLAS experiment in SUSY parameter space  

E-Print Network [OSTI]

Already with very first data, the ATLAS experiment should be sensitive to a SUSY signal well beyond the regions explored by the Tevatron. We present a detailed study of the ATLAS discovery reach in the parameter space for various SUSY models. The expected uncertainties on the background estimates are taken ito account.

Janet Dietrich

2009-10-29T23:59:59.000Z

282

Reliable Computation of Binary Parameters in Activity Coefficient Models  

E-Print Network [OSTI]

phase equilibria. The technique is demonstrated with examples using the NRTL and electrolyte-NRTL (eNRTL) models. In two of the NRTL examples, results are found that contradict previous work. In the eNRTL time that a method for parameter estimation in the eNRTL model from binary LLE data (mutual solubility

Stadtherr, Mark A.

283

Seismic fragility estimates for reinforced concrete framed buildings  

E-Print Network [OSTI]

story drift given the spectral acceleration at the fundamental period of the building. The unknown parameters of the demand models are estimated using the simulated response data obtained from nonlinear time history analyses of the structural models...

Ramamoorthy, Sathish Kumar

2007-04-25T23:59:59.000Z

284

RELIABILITY OF SAMPLING INSPECTION SCHEMES APPLIED TO REPLACEMENT STEAM GENERATORS  

E-Print Network [OSTI]

RELIABILITY OF SAMPLING INSPECTION SCHEMES APPLIED TO REPLACEMENT STEAM GENERATORS Guy Roussel the size of the random sample of tubes to be inspected in replacement steam generators is revisited in this paper. A procedure to estimate the maximum number of defective tubes left in the steam generator after

Cizelj, Leon

285

Cosmological Parameters From Supernovae Associated With Gamma-ray Bursts  

E-Print Network [OSTI]

We report estimates of the cosmological parameters $\\Omega_m$ and $\\Omega_{\\Lambda}$ obtained using supernovae (SNe) associated with gamma-ray bursts (GRBs) at redshifts up to 0.606. Eight high-fidelity GRB-SNe with well-sampled light curves across the peak are used. We correct their peak magnitudes for a luminosity-decline rate relation to turn them into accurate standard candles with dispersion $\\sigma = 0.18$ mag. We also estimate the peculiar velocity of the host galaxy of SN 1998bw, using constrained cosmological simulations. In a flat universe, the resulting Hubble diagram leads to best-fit cosmological parameters of $(\\Omega_m, \\Omega_{\\Lambda}) = (0.52^{+0.34}_{-0.31},0.48^{+0.31}_{-0.34})$. This exploratory study suggests that GRB-SNe can potentially be used as standardizable candles to high redshifts to measure distances in the universe and constrain cosmological parameters.

Li, Xue; Wojtak, Rados?aw

2014-01-01T23:59:59.000Z

286

Fractional Dynamical Model for the Generation of ECG like Signals from Filtered Coupled Van-der Pol Oscillators  

E-Print Network [OSTI]

In this paper, an incommensurate fractional order (FO) model has been proposed to generate ECG like waveforms. Earlier investigation of ECG like waveform generation is based on two identical Van-der Pol (VdP) family of oscillators which are coupled by time delays and gains. In this paper, we suitably modify the three state equations corresponding to the nonlinear cross-product of states, time delay coupling of the two oscillators and low-pass filtering, using the concept of fractional derivatives. Our results show that a wide variety of ECG like waveforms can be simulated from the proposed generalized models, characterizing heart conditions under different physiological conditions. Such generalization of the modelling of ECG waveforms may be useful to understand the physiological process behind ECG signal generation in normal and abnormal heart conditions. Along with the proposed FO models, an optimization based approach is also presented to estimate the VdP oscillator parameters for representing a realistic ...

Das, Saptarshi

2014-01-01T23:59:59.000Z

287

Landscape Automata for Search Based Procedural Content Generation.  

E-Print Network [OSTI]

Landscape Automata for Search Based Procedural Content Generation. Daniel Ashlock and Cameron Mc be used for terrain generation or other procedural content generation. Landscape automata are evolvable state-conditioned quadtrees with embedded decay parameters. Landscape automata are used to both match

Ashlock, Dan

288

Sensitivity of health risk estimates to air quality adjustment procedure  

SciTech Connect (OSTI)

This letter is a summary of risk results associated with exposure estimates using two-parameter Weibull and quadratic air quality adjustment procedures (AQAPs). New exposure estimates were developed for children and child-occurrences, six urban areas, and five alternative air quality scenarios. In all cases, the Weibull and quadratic results are compared to previous results, which are based on a proportional AQAP.

Whitfield, R.G.

1997-06-30T23:59:59.000Z

289

Kalman Filtering with Inequality Constraints for Turbofan Engine Health Estimation  

E-Print Network [OSTI]

Constraints, Estimation, Quadratic Pro- gramming, Gas Turbine Engines. 1 Introduction For linear dynamic simulation of a turbofan engine to estimate health parameters. The turbofan engine model con- tains 16 state. However, in the application of Kalman ¯lters there is often known model or signal information

Simon, Dan

290

Generation gaps in engineering?  

E-Print Network [OSTI]

There is much enthusiastic debate on the topic of generation gaps in the workplace today; what the generational differences are, how to address the apparent challenges, and if the generations themselves are even real. ...

Kim, David J. (David Jinwoo)

2008-01-01T23:59:59.000Z

291

CONSULTANT REPORT DISTRIBUTED GENERATION  

E-Print Network [OSTI]

CONSULTANT REPORT DISTRIBUTED GENERATION INTEGRATION COST STUDY Analytical Framework energy development, or distributed generation, in California. In May 2012, Southern California Edison Southern California Edison's approach to evaluating distributed generation impacts, and to conduct

292

Estimating Power System Dynamic States Using Extended Kalman Filter  

SciTech Connect (OSTI)

Abstract—The state estimation tools which are currently deployed in power system control rooms are based on a steady state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper investigates the application of Extended Kalman Filtering techniques for estimating dynamic states in the state estimation process. The new formulated “dynamic state estimation” includes true system dynamics reflected in differential equations, not like previously proposed “dynamic state estimation” which only considers the time-variant snapshots based on steady state modeling. This new dynamic state estimation using Extended Kalman Filter has been successfully tested on a multi-machine system. Sensitivity studies with respect to noise levels, sampling rates, model errors, and parameter errors are presented as well to illustrate the robust performance of the developed dynamic state estimation process.

Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jaroslaw; Zhou, Ning

2014-10-31T23:59:59.000Z

293

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

SciTech Connect (OSTI)

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

294

Estimate of CP Violation for the LBNE Project and $?_{CP}  

E-Print Network [OSTI]

Measurements of CP violation (CPV) and the basic $\\delta_{CP}$ parameter are the goals of the LBNE Project, which is being planned. Using the expected energy and baseline parameters for the LBNE Project, CPV and the dependence of CPV on $\\delta_{CP}$ are estimated, to help in the planning of this project.

Leonard S. Kisslinger

2012-06-27T23:59:59.000Z

295

The Lepton Sector of a Fourth Generation  

E-Print Network [OSTI]

In extensions of the standard model with a heavy fourth generation one important question is what makes the fourth-generation lepton sector, particularly the neutrinos, so different from the lighter three generations. We study this question in the context of models of electroweak symmetry breaking in warped extra dimensions, where the flavor hierarchy is generated by the localization of the zero-mode fermions in the extra dimension. In this setup the Higgs sector is localized near the infrared brane, whereas the Majorana mass term is localized at the ultraviolet brane. As a result, light neutrinos are almost entirely Majorana particles, whereas the fourth generation neutrino is mostly a Dirac fermion. We show that it is possible to obtain heavy fourth-generation leptons in regions of parameter space where the light neutrino masses and mixings are compatible with observation. We study the impact of these bounds, as well as the ones from lepton flavor violation, on the phenomenology of these models.

Gustavo Burdman; Leandro Da Rold; Ricardo D. Matheus

2010-05-10T23:59:59.000Z

296

Small Generator Aggregation (Maine)  

Broader source: Energy.gov [DOE]

This section establishes requirements for electricity providers to purchase electricity from small generators, with the goal of ensuring that small electricity generators (those with a nameplate...

297

Next Generation Reactors  

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

Nuclear Advances We are coordinating the Generation IV Nuclear Systems Initiative - an international effort to develop the next generation of nuclear power reactors. Skip...

298

Concentrated Solar Power Generation.  

E-Print Network [OSTI]

??Solar power generation is the most promising technology to transfer energy consumption reliance from fossil fuel to renewable sources. Concentrated solar power generation is a… (more)

Jin, Zhilei

2013-01-01T23:59:59.000Z

299

GEOTHERMAL POWER GENERATION PLANT  

SciTech Connect (OSTI)

Oregon Institute of Technology (OIT) drilled a deep geothermal well on campus (to 5,300 feet deep) which produced 196oF resource as part of the 2008 OIT Congressionally Directed Project. OIT will construct a geothermal power plant (estimated at 1.75 MWe gross output). The plant would provide 50 to 75 percent of the electricity demand on campus. Technical support for construction and operations will be provided by OIT’s Geo-Heat Center. The power plant will be housed adjacent to the existing heat exchange building on the south east corner of campus near the existing geothermal production wells used for heating campus. Cooling water will be supplied from the nearby cold water wells to a cooling tower or air cooling may be used, depending upon the type of plant selected. Using the flow obtained from the deep well, not only can energy be generated from the power plant, but the “waste” water will also be used to supplement space heating on campus. A pipeline will be construction from the well to the heat exchanger building, and then a discharge line will be construction around the east and north side of campus for anticipated use of the “waste” water by facilities in an adjacent sustainable energy park. An injection well will need to be drilled to handle the flow, as the campus existing injection wells are limited in capacity.

Boyd, Tonya

2013-12-01T23:59:59.000Z

300

Tools for event generator tuning and validation  

E-Print Network [OSTI]

I describe the current status of MCnet tools for validating the performance of event generator simulations against data, and for tuning their phenomenological free parameters. For validation, the Rivet toolkit is now a mature and complete system, with a large library of prominent benchmark analyses. For tuning, the Professor system has recently completed its first tunes of Pythia 6, with substantial improvements on the existing default tune and potential to greatly aid the setup of new generators for LHC studies.

Andy Buckley

2008-09-26T23:59:59.000Z

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

Estimating Specialty Costs  

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

Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

1997-03-28T23:59:59.000Z

302

Cooling load estimation methods  

SciTech Connect (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

303

Grid-based exploration of cosmological parameter space with Snake  

E-Print Network [OSTI]

We present a fully parallelized grid-based parameter estimation algorithm for investigating multidimensional likelihoods called Snake, and apply it to cosmological parameter estimation. The basic idea is to map out the likelihood grid-cell by grid-cell according to decreasing likelihood, and stop when a certain threshold has been reached. This approach improves vastly on the "curse of dimensionality" problem plaguing standard grid-based parameter estimation simply by disregarding grid-cells with negligible likelihood. The main advantages of this method compared to standard Metropolis-Hastings MCMC methods include 1) trivial extraction of arbitrary conditional distributions; 2) direct access to Bayesian evidences; 3) better sampling of the tails of the distribution; and 4) nearly perfect parallelization scaling. The main disadvantage is, as in the case of brute-force grid-based evaluation, a dependency on the number of parameters, N_par. One of the main goals of the present paper is to determine how large N_pa...

Mikkelsen, K; Eriksen, H K

2012-01-01T23:59:59.000Z

304

A Parametric Spectral Estimator for Faults Detection in Induction Machines  

E-Print Network [OSTI]

for fault diagnosis in electrical machines. Current spectral estimation is usually performed using classical and productivity of electrical drives. For electrical motors and generators, fault detection is usually performedA Parametric Spectral Estimator for Faults Detection in Induction Machines El Houssin El Bouchikhi

Boyer, Edmond

305

FUNCTIONAL ESTIMATION FOR A MULTICOMPONENT AGE REPLACEMENT MODEL  

E-Print Network [OSTI]

1 FUNCTIONAL ESTIMATION FOR A MULTICOMPONENT AGE REPLACEMENT MODEL Pierre L'Ecuyer, Benoit Martin, controlled by a replacement rule based on age thresholds. We show how to estimate the expected cost­ generative simulation, maintenance models, age replacement policies. #12; 2 L'ECUYER, MARTIN, AND V ' AZQUEZ

L'Ecuyer, Pierre

306

FUNCTIONAL ESTIMATION FOR A MULTICOMPONENT AGE REPLACEMENT MODEL  

E-Print Network [OSTI]

FUNCTIONAL ESTIMATION FOR A MULTICOMPONENT AGE REPLACEMENT MODEL Pierre L'Ecuyer, Benoit Martin, controlled by a replacement rule based on age thresholds. We show how to estimate the expected cost­ generative simulation, maintenance models, age replacement policies. #12; L'ECUYER, MARTIN, AND V ' AZQUEZ

Vázquez-Abad, Felisa J.

307

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

308

Dynamical generation of pseudoscalar resonances  

SciTech Connect (OSTI)

We study the interactions between the f{sub 0}(980) and a{sub 0}(980) scalar resonances and the lightest pseudoscalar mesons. We first obtain the elementary interaction amplitudes, or interacting kernels, without including any ad hoc free parameter. This is achieved by using previous results on the nature of the lightest scalar resonances as dynamically generated from the rescattering of S-wave two-meson pairs. Afterwards, the interaction kernels are unitarized and the final S-wave amplitudes result. We find that these interactions are very rich and generate a large amount of pseudoscalar resonances that could be associated with the K(1460), {pi}(1300), {pi}(1800), {eta}(1475), and X(1835). We also consider the exotic channels with isospin 3/2 and 1, the latter having positive G-parity. The former could also be resonant in agreement with a previous prediction.

Albaladejo, M.; Oller, J. A.; Roca, L. [Departamento de Fisica, Universidad de Murcia, E-30071 Murcia (Spain)

2010-11-01T23:59:59.000Z

309

ENERGY GENERATION RESEARCH PIER Energy Generation Research  

E-Print Network [OSTI]

ENERGY GENERATION RESEARCH PIER Energy Generation Research www.energy.ca.gov/research/ renewable/ November 2010 Sonoma County RESCO A Local Level Approach to Renewable Energy Portfolios. The Issue To address energy usage that contributes to climate change, California has enacted legislation to guide

310

Estimating the Actual Cost of Transmission System Congestion  

E-Print Network [OSTI]

of the utility's generation, load and tie-line flows over the study time period. Due to the common lack by most be used by a utility to estimate the actual cost of congestion on its transmission system using limited interconnected grid (i.e., the Eastern Interconnect), costs for the utility's generators, and then hourly values

311

Gamma ray generator  

DOE Patents [OSTI]

An embodiment of a gamma ray generator includes a neutron generator and a moderator. The moderator is coupled to the neutron generator. The moderator includes a neutron capture material. In operation, the neutron generator produces neutrons and the neutron capture material captures at least some of the neutrons to produces gamma rays. An application of the gamma ray generator is as a source of gamma rays for calibration of gamma ray detectors.

Firestone, Richard B; Reijonen, Jani

2014-05-27T23:59:59.000Z

312

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

313

Process Equipment Cost Estimation, Final Report  

SciTech Connect (OSTI)

This report presents generic cost curves for several equipment types generated using ICARUS Process Evaluator. The curves give Purchased Equipment Cost as a function of a capacity variable. This work was performed to assist NETL engineers and scientists in performing rapid, order of magnitude level cost estimates or as an aid in evaluating the reasonableness of cost estimates submitted with proposed systems studies or proposals for new processes. The specific equipment types contained in this report were selected to represent a relatively comprehensive set of conventional chemical process equipment types.

H.P. Loh; Jennifer Lyons; Charles W. White, III

2002-01-01T23:59:59.000Z

314

Generation to Generation: The Heart of Family Medicine  

E-Print Network [OSTI]

Ageism in the Workplace. Generations Spring, 5. Westman,of caring for multiple generations simultaneously. StronglyGeneration to Generation: The Heart of Family Medicine

Winter, Robin O

2012-01-01T23:59:59.000Z

315

Recursive bias estimation for high dimensional smoothers  

SciTech Connect (OSTI)

In multivariate nonparametric analysis, sparseness of the covariates also called curse of dimensionality, forces one to use large smoothing parameters. This leads to biased smoothers. Instead of focusing on optimally selecting the smoothing parameter, we fix it to some reasonably large value to ensure an over-smoothing of the data. The resulting smoother has a small variance but a substantial bias. In this paper, we propose to iteratively correct the bias initial estimator by an estimate of the latter obtained by smoothing the residuals. We examine in detail the convergence of the iterated procedure for classical smoothers and relate our procedure to L{sub 2}-Boosting. We apply our method to simulated and real data and show that our method compares favorably with existing procedures.

Hengartner, Nicolas W [Los Alamos National Laboratory; Matzner-lober, Eric [UHB, FRANCE; Cornillon, Pierre - Andre [INRA

2008-01-01T23:59:59.000Z

316

2007 Estimated International Energy Flows  

SciTech Connect (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

317

Estimating pixel variances in the scenes of staring sensors  

DOE Patents [OSTI]

A technique for detecting changes in a scene perceived by a staring sensor is disclosed. The technique includes acquiring a reference image frame and a current image frame of a scene with the staring sensor. A raw difference frame is generated based upon differences between the reference image frame and the current image frame. Pixel error estimates are generated for each pixel in the raw difference frame based at least in part upon spatial error estimates related to spatial intensity gradients in the scene. The pixel error estimates are used to mitigate effects of camera jitter in the scene between the current image frame and the reference image frame.

Simonson, Katherine M. (Cedar Crest, NM); Ma, Tian J. (Albuquerque, NM)

2012-01-24T23:59:59.000Z

318

5, 95145, 2008 Soil parameter  

E-Print Network [OSTI]

tools to sim- ulate mass and energy fluxes within the soil vegetation atmosphere continuum for nu, linking the water and energy fluxes at the land surface. An appropriate parameterisation of soil hydraulicHESSD 5, 95­145, 2008 Soil parameter inversion ­ potential and limits A. Loew and W. Mauser Title

Paris-Sud XI, Université de

319

MEaSUREs products Project PI ESDR Parameter(s) Generated Period(s) covered Input data and sources Discipline  

E-Print Network [OSTI]

and Oceanographic Applications Atlas, Robert High resolution (25km, every 6-hours) global ocean surface winds from of trace gases and aerosol properties. 1985-present Airborne field campaign data sets Atmospheric And Related trace gas Data records for the Stratosphere (GOZCARDS) Froidevaux, Lucien Zonal (mostly monthly

Christian, Eric

320

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...

Rengarajan, Janarthanan

2009-05-15T23:59:59.000Z

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.


321

Cost Estimating Guide  

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

This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

2011-05-09T23:59:59.000Z

322

Cylindrical neutron generator  

DOE Patents [OSTI]

A cylindrical neutron generator is formed with a coaxial RF-driven plasma ion source and target. A deuterium (or deuterium and tritium) plasma is produced by RF excitation in a cylindrical plasma ion generator using an RF antenna. A cylindrical neutron generating target is coaxial with the ion generator, separated by plasma and extraction electrodes which contain many slots. The plasma generator emanates ions radially over 360.degree. and the cylindrical target is thus irradiated by ions over its entire circumference. The plasma generator and target may be as long as desired. The plasma generator may be in the center and the neutron target on the outside, or the plasma generator may be on the outside and the target on the inside. In a nested configuration, several concentric targets and plasma generating regions are nested to increase the neutron flux.

Leung, Ka-Ngo

2005-06-14T23:59:59.000Z

323

Cylindrical neutron generator  

DOE Patents [OSTI]

A cylindrical neutron generator is formed with a coaxial RF-driven plasma ion source and target. A deuterium (or deuterium and tritium) plasma is produced by RF excitation in a cylindrical plasma ion generator using an RF antenna. A cylindrical neutron generating target is coaxial with the ion generator, separated by plasma and extraction electrodes which contain many slots. The plasma generator emanates ions radially over 360.degree. and the cylindrical target is thus irradiated by ions over its entire circumference. The plasma generator and target may be as long as desired. The plasma generator may be in the center and the neutron target on the outside, or the plasma generator may be on the outside and the target on the inside. In a nested configuration, several concentric targets and plasma generating regions are nested to increase the neutron flux.

Leung, Ka-Ngo (Hercules, CA)

2008-04-22T23:59:59.000Z

324

Cylindrical neutron generator  

DOE Patents [OSTI]

A cylindrical neutron generator is formed with a coaxial RF-driven plasma ion source and target. A deuterium (or deuterium and tritium) plasma is produced by RF excitation in a cylindrical plasma ion generator using an RF antenna. A cylindrical neutron generating target is coaxial with the ion generator, separated by plasma and extraction electrodes which contain many slots. The plasma generator emanates ions radially over 360.degree. and the cylindrical target is thus irradiated by ions over its entire circumference. The plasma generator and target may be as long as desired. The plasma generator may be in the center and the neutron target on the outside, or the plasma generator may be on the outside and the target on the inside. In a nested configuration, several concentric targets and plasma generating regions are nested to increase the neutron flux.

Leung, Ka-Ngo (Hercules, CA)

2009-12-29T23:59:59.000Z

325

EXPLORATION Actual Estimate  

E-Print Network [OSTI]

FY 2015 FY 2016 FY 2017 FY 2013 President's Budget Request 3,821.2 3,712.8 3,932.8 4,076.5 4,076.5 4 Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY 2014 FY 2015 FY 2016 FY 2017 FY 2013EXPLORATION EXP-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY 2014

326

DIRECTIONAL DEPENDENCE OF {Lambda}CDM COSMOLOGICAL PARAMETERS  

SciTech Connect (OSTI)

We study hemispherical power asymmetry in the Wilkinson Microwave Anisotropy Probe 9 yr data. We analyze the combined V- and W-band sky maps, after application of the KQ85 mask, and find that the asymmetry is statistically significant at the 3.4{sigma} confidence level for l = 2-600, where the data are signal-dominated, with a preferred asymmetry direction (l, b) = (227, -27). Individual asymmetry axes estimated from six independent multipole ranges are all consistent with this direction. Subsequently, we estimate cosmological parameters on different parts of the sky and show that the parameters A{sub s} , n{sub s} , and {Omega}{sub b} are the most sensitive to this power asymmetry. In particular, for the two opposite hemispheres aligned with the preferred asymmetry axis, we find n{sub s} = 0.959 {+-} 0.022 and n{sub s} = 0.989 {+-} 0.024, respectively.

Axelsson, M.; Fantaye, Y.; Hansen, F. K.; Eriksen, H. K. [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, N-0315 Oslo (Norway); Banday, A. J. [Universite de Toulouse, UPS-OMP, IRAP, Toulouse (France); Gorski, K. M., E-mail: magnus.axelsson@astro.uio.no, E-mail: y.t.fantaye@astro.uio.no [Jet Propulsion Laboratory, M/S 169/327, 4800 Oak Grove Drive, Pasadena, CA 91109 (United States)

2013-08-10T23:59:59.000Z

327

Estimating exposure of terrestrial wildlife to contaminants  

SciTech Connect (OSTI)

This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.

Sample, B.E.; Suter, G.W. II

1994-09-01T23:59:59.000Z

328

The Different Characteristics of Aquifer Parameters and Their Implications on Pumping-Test Analysis  

E-Print Network [OSTI]

The Different Characteristics of Aquifer Parameters and Their Implications on Pumping-Test Analysis and storativity, under constant-rate pumping conditions. A two-way coordinate is such that the conditions implications on pumping-test designs and interpretation. For example, to estimate the parameters

Jiao, Jiu Jimmy

329

Time-Varying FOPDT Modeling and On-line Parameter Identification  

E-Print Network [OSTI]

dynamic modeling in a supermarket refrigeration system. Keywords: System identification, FOPDT, time in a refrigeration system. The TV-FOPDT model is an extension of the standard FOPDT by allowing the system parameters. The proposed approaches can simultaneously estimate the time-dependent system parameters, as well

Yang, Zhenyu

330

Perturbed Power-law parameters from WMAP7  

E-Print Network [OSTI]

We present a perturbative approach for studying inflation models with soft departures from scale free spectra of the power law model. In the perturbed power law (PPL) approach one obtains at the leading order both the scalar and tensor power spectra with the running of their spectral indices, in contrast to the widely used slow roll expansion. The PPL spectrum is confronted data and we show that the PPL parameters are well estimated from WMAP-7 data.

Minu Joy; Tarun Souradeep

2010-11-19T23:59:59.000Z

331

Perturbed Power-law parameters from WMAP7  

E-Print Network [OSTI]

We present a perturbative approach for studying inflation models with soft departures from scale free spectra of the power law model. In the perturbed power law (PPL) approach one obtains at the leading order both the scalar and tensor power spectra with the running of their spectral indices, in contrast to the widely used slow roll expansion. The PPL spectrum is confronted data and we show that the PPL parameters are well estimated from WMAP-7 data.

Joy, Minu

2010-01-01T23:59:59.000Z

332

Estimating parameters of a k-factor GIGARCH process. Estimation des paramtres d'un processus GIGARCH k  

E-Print Network [OSTI]

GIGARCH à k facteurs. Abdou Kâ DIONGUE a,b , Dominique GUEGAN a aENS Cachan IDHE-MORA, UMR CNRS 8533, 61 (1)-(2) a été introduit et étudié dans les articles Email addresses: abdou-ka.diongue@edf.fr (Abdou

Paris-Sud XI, Université de

333

Modeling of leachate generation in municipal solid waste landfills  

E-Print Network [OSTI]

parameters specified by the user. Ultimately, this model will strive to replace the time the user requires to generate and fill a given landfill geometry with time spent running and evaluating trials to yield the best design....

Beck, James Bryan

2012-06-07T23:59:59.000Z

334

Neutron Resonance Parameters and Covariance Matrix of 239Pu  

SciTech Connect (OSTI)

In order to obtain the resonance parameters in a single energy range and the corresponding covariance matrix, a reevaluation of 239Pu was performed with the code SAMMY. The most recent experimental data were analyzed or reanalyzed in the energy range thermal to 2.5 keV. The normalization of the fission cross section data was reconsidered by taking into account the most recent measurements of Weston et al. and Wagemans et al. A full resonance parameter covariance matrix was generated. The method used to obtain realistic uncertainties on the average cross section calculated by SAMMY or other processing codes was examined.

Derrien, Herve [ORNL; Leal, Luiz C [ORNL; Larson, Nancy M [ORNL

2008-08-01T23:59:59.000Z

335

PATHWAY PARAMETER AND THERMONUCLEAR FUNCTIONS  

E-Print Network [OSTI]

Abstract. In the theory of thermonuclear reaction rates, analytical evaluation of thermonuclear functions for non-resonant reactions, including cases with cut-off and depletion of the tail of the Maxwell-Boltzmann distribution function were considered in a series of papers by Mathai and Haubold (1988). In the present paper we study more general classes of thermonuclear functions by introducing a pathway parameter ?, so that when ? ? 1 the thermonuclear functions in the Maxwell-Boltzmannian case are recovered. We will also give interpretations for the pathway parameter ? in the case of cut-off and in terms of moments. 1. Thermonuclear Functions The standard thermonuclear function in the Maxwell-Boltzmann case in the theory of nuclear reactions, is given by the following (Critchfield, 1972; Haubold and Mathai, 1985; Mathai and

H. J. Haubold

336

New wave generation  

E-Print Network [OSTI]

We present the results of a combined experimental and numerical study of the generation of internal waves using the novel internal wave generator design of Gostiaux et al. (Exp. Fluids, vol. 42, 2007, pp. 123–130). This ...

Mercier, Matthieu J.

337

State energy data report 1996: Consumption estimates  

SciTech Connect (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

338

Cosmological-Parameter Determination with Microwave Background Maps  

E-Print Network [OSTI]

The angular power spectrum of the cosmic microwave background (CMB) contains information on virtually all cosmological parameters of interest, including the geometry of the Universe ($\\Omega$), the baryon density, the Hubble constant ($h$), the cosmological constant ($\\Lambda$), the number of light neutrinos, the ionization history, and the amplitudes and spectral indices of the primordial scalar and tensor perturbation spectra. We review the imprint of each parameter on the CMB. Assuming only that the primordial perturbations were adiabatic, we use a covariance-matrix approach to estimate the precision with which these parameters can be determined by a CMB temperature map as a function of the fraction of sky mapped, the level of pixel noise, and the angular resolution. For example, with no prior information about any of the cosmological parameters, a full-sky CMB map with $0.5^\\circ$ angular resolution and a noise level of 15 $\\mu$K per pixel can determine $\\Omega$, $h$, and $\\Lambda$ with standard errors of $\\pm0.1$ or better, and provide determinations of other parameters which are inaccessible with traditional observations. Smaller beam sizes or prior information on some of the other parameters from other observations improves the sensitivity. The dependence on the the underlying cosmological model is discussed.

Gerard Jungman; Marc Kamionkowski; Arthur Kosowsky; David N. Spergel

1996-05-23T23:59:59.000Z

339

Testing ETC Generation of the Top Quark Mass  

E-Print Network [OSTI]

We consider constraints on models in which a top quark mass is generated through unenhanced extended technicolor interactions. The deviation in the $\\rho$ parameter from unity and $B$--$\\overline{B}$ mixing could be large, but given the uncertainties in strong dynamics and variations in the parameters of models, no conclusive statement can be given. We conclude that the low technicolor scale which is required to generate the top quark mass is not ruled out.

L. Randall

1992-10-13T23:59:59.000Z

340

Laboratory Study to Identify the Impact of Fracture Design Parameters over the Final Fracture Conductivity Using the Dynamic Fracture Conductivity Test Procedure  

E-Print Network [OSTI]

such as closure stress, and temperature and fracture fluid parameters such as proppant loading over the final conductivity of a hydraulic fracture treatment. With the purpose of estimating the relation between fracture conductivity and the design parameters, two...

Pieve La Rosa, Andres Eduardo

2011-08-08T23:59:59.000Z

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

Review of Operational Water Consumption and Withdrawal Factors for Electricity Generating Technologies  

SciTech Connect (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

342

MELE: Maximum Entropy Leuven Estimators  

E-Print Network [OSTI]

of the Generalized Maximum Entropy Estimator of the Generaland Douglas Miller, Maximum Entropy Econometrics, Wiley andCalifornia Davis MELE: Maximum Entropy Leuven Estimators by

Paris, Quirino

2001-01-01T23:59:59.000Z

343

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

SciTech Connect (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

344

Consistent Estimation for Aggregated GARCH  

E-Print Network [OSTI]

of the QMLEs of the ”weak” GARCH with TDGP parameters (¯ 0 ;of the QMLEs of the ”weak” GARCH with TDGP parameters (¯ 0 ;of the QMLEs of the ”weak” GARCH with TDGP parameters (¯ 0 ;

Komunjer, Ivana

2001-01-01T23:59:59.000Z

345

External Dose Estimates from  

E-Print Network [OSTI]

; - calculated separately for the most important radionuclides produced in nuclear weapons tests. Those would averages for all tests. 2. Provide a list of references regarding: (1) the history of nuclear weapons to the Population of the Continental U.S. from Nevada Weapons Tests and Estimates of Deposition Density

346

Radiation Dose Estimates from  

E-Print Network [OSTI]

Summary: Radiation Dose Estimates from Hanford Radioactive Material Releases to the Air and the Columbia River April 21,1994 TheTechnid Steering Panel of the Hanford - Environmental Dose Reconstruction than 40years, the U.S. Government made plutonium for nuclear weapons at the Hanford

347

PHYSICAL PARAMETERS OF STANDARD AND BLOWOUT JETS  

SciTech Connect (OSTI)

The X-ray Telescope on board the Hinode mission revealed the occurrence, in polar coronal holes, of much more numerous jets than previously indicated by the Yohkoh/Soft X-ray Telescope. These plasma ejections can be of two types, depending on whether they fit the standard reconnection scenario for coronal jets or if they include a blowout-like eruption. In this work, we analyze two jets, one standard and one blowout, that have been observed by the Hinode and STEREO experiments. We aim to infer differences in the physical parameters that correspond to the different morphologies of the events. To this end, we adopt spectroscopic techniques and determine the profiles of the plasma temperature, density, and outflow speed versus time and position along the jets. The blowout jet has a higher outflow speed, a marginally higher temperature, and is rooted in a stronger magnetic field region than the standard event. Our data provide evidence for recursively occurring reconnection episodes within both the standard and the blowout jet, pointing either to bursty reconnection or to reconnection occurring at different locations over the jet lifetimes. We make a crude estimate of the energy budget of the two jets and show how energy is partitioned among different forms. Also, we show that the magnetic energy that feeds the blowout jet is a factor of 10 higher than the magnetic energy that fuels the standard event.

Pucci, Stefano; Romoli, Marco [Department of Physics and Astronomy, University of Firenze, I-50121 Firenze (Italy); Poletto, Giannina [INAF-Arcetri Astrophysical Observatory, I-50125 Firenze (Italy); Sterling, Alphonse C., E-mail: stpucci@arcetri.astro.it [Space Science Office, NASA/MSFC, Huntsville, Al 35812 (United States)

2013-10-10T23:59:59.000Z

348

Method for measuring energy generation and efficiency of dielectric elastomer generators  

E-Print Network [OSTI]

and elastomer membranes make DEGs a promising candidate for off-shore wave energy har- vesting. Devices avoiding gait to wind and ocean waves.5 Theoretical estimates show a huge specific electrical energy generated for energy harvesting from walking. Durability in sea water environment and impedance matching of ocean waves

Suo, Zhigang

349

Frontier estimation as a particular case of Conditional extreme value analysis  

E-Print Network [OSTI]

Frontier estimation as a particular case of Conditional extreme value analysis Salim Rao Bengal estimation and frontier estimation can be seen as particular cases of Conditional Extreme Value Analysis generating the realiza- tions of X are independent, the cumulative distribution of Yn may be expressed as [F

Paris-Sud XI, Université de

350

An Observed-Data-Consistent Approach to the Assignment of Bit Values in a Quantum Random Number Generator  

E-Print Network [OSTI]

The majority of Quantum Random Number Generators (QRNG) are designed as converters of a continuous quantum random variable into a discrete classical random bit value. For the resulting random bit sequence to be minimally biased, the conversion process demands an experimenter to fully characterize the underlying quantum system and implement parameter estimation routines. Here we show that conventional approaches to parameter estimation (such as e.g. {\\it Maximum Likelihood Estimation}) used on a finite QRNG data sample without caution may introduce binning bias and lead to overestimation of the randomness of the QRNG output. To bypass these complications, we develop an alternative conversion approach based on the Bayesian statistical inference method. We illustrate our approach using experimental data from a time-of-arrival QRNG and numerically simulated data from a vacuum homodyning QRNG. Side-by-side comparison with the conventional conversion technique shows that our method provides an automatic on-line bias control and naturally bounds the best achievable QRNG bit rate for a given measurement record.

Pavel Lougovski; Raphael Pooser

2014-04-23T23:59:59.000Z

351

Creating a Cognitive Agent in a Virtual World: Planning, Navigation, and Natural Language Generation  

E-Print Network [OSTI]

Generation . . . . . . . . . . . . . . . . . . . . .Language Generation . . . . . . . . . . . . . . . . .Language Generation . . . . . . . . . . . . . . . . . . . .

Hewlett, William

2013-01-01T23:59:59.000Z

352

Estimating Biomass in the Mountain Regions of Bwindi Impenetrable National Park, Uganda using Radar and Optical Remote Sensing   

E-Print Network [OSTI]

Field measured estimates of aboveground biomass (AGB) for 15 transects in Bwindi Impenetrable National Park (BINP), Uganda were used to generate a number of prediction models for estimating aboveground biomass (AGB) over the full extent of BINP. AGB...

Fedrigo, Melissa

2009-11-26T23:59:59.000Z

353

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

354

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. 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

355

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

356

Use of Cost Estimating Relationships  

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

Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.

1997-03-28T23:59:59.000Z

357

Talkin’ Bout Wind Generation  

Broader source: Energy.gov [DOE]

The amount of electricity generated by the wind industry started to grow back around 1999, and since 2007 has been increasing at a rapid pace.

358

SNE TRAFIC GENERATOR  

Energy Science and Technology Software Center (OSTI)

003027MLTPL00 Network Traffic Generator for Low-rate Small Network Equipment Software  http://eln.lbl.gov/sne_traffic_gen.html 

359

Status of three-neutrino oscillation parameters, circa 2013  

E-Print Network [OSTI]

The standard three-neutrino (3nu) oscillation framework is being increasingly refined by results coming from different sets of experiments, using neutrinos from solar, atmospheric, accelerator and reactor sources. At present, each of the known oscillation parameters [the two squared mass gaps (delta m^2, Delta m^2) and the three mixing angles (theta_12}, theta_13, theta_23)] is dominantly determined by a single class of experiments. Conversely, the unknown parameters [the mass hierarchy, the theta_23 octant and the CP-violating phase delta] can be currently constrained only through a combined analysis of various (eventually all) classes of experiments. In the light of recent new results coming from reactor and accelerator experiments, and of their interplay with solar and atmospheric data, we update the estimated N-sigma ranges of the known 3nu parameters, and revisit the status of the unknown ones. Concerning the hierarchy, no significant difference emerges between normal and inverted mass ordering. A slight overall preference is found for theta_23 in the first octant and for nonzero CP violation with sin delta < 0; however, for both parameters, such preference exceeds 1 sigma only for normal hierarchy. We also discuss the correlations and stability of the oscillation parameters within different combinations of data sets.

F. Capozzi; G. L. Fogli; E. Lisi; A. Marrone; D. Montanino; A. Palazzo

2014-05-05T23:59:59.000Z

360

Los Alamos PC estimating system  

SciTech Connect (OSTI)

The Los Alamos Cost Estimating System (QUEST) is being converted to run on IBM personal computers. This very extensive estimating system is capable of supporting cost estimators from many different and varied fields. QUEST does not dictate any fixed method for estimating. QUEST supports many styles and levels of detail estimating. QUEST can be used with or without data bases. This system allows the estimator to provide reports based on levels of detail defined by combining work breakdown structures. QUEST provides a set of tools for doing any type of estimate without forcing the estimator to use any given method. The level of detail in the estimate can be mixed based on the amount of information known about different parts of the project. The system can support many different data bases simultaneously. Estimators can modify any cost in any data base.

Stutz, R.A.; Lemon, G.D.

1987-01-01T23:59:59.000Z

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
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361

IDC RP2 & 3 US Industry Standard Cost Estimate Summary.  

SciTech Connect (OSTI)

Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, using a commercial software cost estimation tool calibrated to US industry performance parameters. This is not a cost estimate for Sandia to perform the project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.

Harris, James M.; Huelskamp, Robert M.

2015-01-01T23:59:59.000Z

362

Estimating radiogenic cancer risks  

SciTech Connect (OSTI)

This document presents a revised methodology for EPA`s estimation of cancer risks due to low-LET radiation exposures in light of information that has become available since the publication of BIER III, especially new information on the Japanese atomic bomb survivors. For most cancer sites, the risk model is one in which the age-specific relative risk coefficients are obtained by taking the geometric mean of coefficients derived from the atomic bomb survivor data employing two different methods for transporting risks from Japan to the U.S. (multiplicative and NIH projection methods). Using 1980 U.S. vital statistics, the risk models are applied to estimate organ-specific risks, per unit dose, for a stationary population.

NONE

1994-06-01T23:59:59.000Z

363

Next-generation transcriptome assembly  

E-Print Network [OSTI]

technologies - the next generation. Nat Rev Genet 11, 31-algorithms for next-generation sequencing data. Genomicsassembly from next- generation sequencing data. Genome Res

Martin, Jeffrey A.

2012-01-01T23:59:59.000Z

364

Estimating Corn Grain Yields  

E-Print Network [OSTI]

can collect samples from a corn field and use this data to calculate the yield estimate. An interactive grain yield calculator is provided in the Appendix of the pdf version of this publication. The calculator is also located in the publication.... Plan and prepare for sample and data collection. 2. Collect field samples and record data. 3. Analyze the data using the interactive grain yield calculator in the Appendix. Plan and prepare for sample and data collection Predetermine sample locations...

Blumenthal, Jurg M.; Thompson, Wayne

2009-06-12T23:59:59.000Z

365

The effect of heart motion on parameter bias in dynamic cardiac SPECT  

SciTech Connect (OSTI)

Dynamic cardiac SPECT can be used to estimate kinetic rate parameters which describe the wash-in and wash-out of tracer activity between the blood and the myocardial tissue. These kinetic parameters can in turn be correlated to myocardial perfusion. There are, however, many physical aspects associated with dynamic SPECT which can introduce errors into the estimates. This paper describes a study which investigates the effect of heart motion on kinetic parameter estimates. Dynamic SPECT simulations are performed using a beating version of the MCAT phantom. The results demonstrate that cardiac motion has a significant effect on the blood, tissue, and background content of regions of interest. This in turn affects estimates of wash-in, while it has very little effect on estimates of wash-out. The effect of cardiac motion on parameter estimates appears not to be as great as effects introduced by photon noise and geometric collimator response. It is also shown that cardiac motion results in little extravascular contamination of the left ventricle blood region of interest.

Ross, S.G.; Gullberg, G.T. [Univ. of Utah, Salt Lake City, UT (United States); Huesman, R.H. [Lawrence Berkeley Lab., CA (United States); [Univ. of California, Berkeley, CA (United States)

1996-12-31T23:59:59.000Z

366

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

367

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

368

features Utility Generator  

E-Print Network [OSTI]

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

Chang, Shih-Fu

369

Event generator overview  

SciTech Connect (OSTI)

Due to their ability to provide detailed and quantitative predictions, the event generators have become an important part of studying relativistic heavy ion physics and of designing future experiments. In this talk, the author will briefly summarize recent progress in developing event generators for the relativistic heavy ion collisions.

Pang, Y.

1997-12-01T23:59:59.000Z

370

Improved 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. 2 figs.

Prescott, D.S.; Schober, R.K.; Beller, J.

1988-07-19T23:59:59.000Z

371

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

372

Estimation and specification tests of count data recreation demand functions  

E-Print Network [OSTI]

addressed this issue by employing various estimators which are based on a count distribution. Although researchers have recognized the need to model recreation demand as stemming from a count data generating process, there is little guidance in selecting... a stochastic model for this type of data, Previous research in this area has so far engaged only in heuristic comparisons of various count data estimators. Hence, as in standard regression analysis, it is desirable to test whether the fitted count...

Gomez, Irma Adriana

1991-01-01T23:59:59.000Z

373

Reliable estimation of shock position in shock-capturing compressible hydrodynamics codes  

SciTech Connect (OSTI)

The displacement method for estimating shock position in a shock-capturing compressible hydrodynamics code is introduced. Common estimates use simulation data within the captured shock, but the displacement method uses data behind the shock, making the estimate consistent with and as reliable as estimates of material parameters obtained from averages or fits behind the shock. The displacement method is described in the context of a steady shock in a one-dimensional lagrangian hydrodynamics code, and demonstrated on a piston problem and a spherical blast wave.The displacement method's estimates of shock position are much better than common estimates in such applications.

Nelson, Eric M [Los Alamos National Laboratory

2008-01-01T23:59:59.000Z

374

Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint  

SciTech Connect (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

375

A study of IMRT planning parameters on planning efficiency, delivery efficiency, and plan quality  

SciTech Connect (OSTI)

Purpose: To improve planning and delivery efficiency of head and neck IMRT without compromising planning quality through the evaluation of inverse planning parameters.Methods: Eleven head and neck patients with pre-existing IMRT treatment plans were selected for this retrospective study. The Pinnacle treatment planning system (TPS) was used to compute new treatment plans for each patient by varying the individual or the combined parameters of dose/fluence grid resolution, minimum MU per segment, and minimum segment area. Forty-five plans per patient were generated with the following variations: 4 dose/fluence grid resolution plans, 12 minimum segment area plans, 9 minimum MU plans, and 20 combined minimum segment area/minimum MU plans. Each plan was evaluated and compared to others based on dose volume histograms (DVHs) (i.e., plan quality), planning time, and delivery time. To evaluate delivery efficiency, a model was developed that estimated the delivery time of a treatment plan, and validated through measurements on an Elekta Synergy linear accelerator. Results: The uncertainty (i.e., variation) of the dose-volume index due to dose calculation grid variation was as high as 8.2% (5.5 Gy in absolute dose) for planning target volumes (PTVs) and 13.3% (2.1 Gy in absolute dose) for planning at risk volumes (PRVs). Comparison results of dose distributions indicated that smaller volumes were more susceptible to uncertainties. The grid resolution of a 4 mm dose grid with a 2 mm fluence grid was recommended, since it can reduce the final dose calculation time by 63% compared to the accepted standard (2 mm dose grid with a 2 mm fluence grid resolution) while maintaining a similar level of dose-volume index variation. Threshold values that maintained adequate plan quality (DVH results of the PTVs and PRVs remained satisfied for their dose objectives) were 5 cm{sup 2} for minimum segment area and 5 MU for minimum MU. As the minimum MU parameter was increased, the number of segments and delivery time were decreased. Increasing the minimum segment area parameter decreased the plan MU, but had less of an effect on the number of segments and delivery time. Our delivery time model predicted delivery time to within 1.8%. Conclusions: Increasing the dose grid while maintaining a small fluence grid allows for improved planning efficiency without compromising plan quality. Delivery efficiency can be improved by increasing the minimum MU, but not the minimum segment area. However, increasing the respective minimum MU and/or the minimum segment area to any value greater than 5 MU and 5 cm{sup 2} is not recommended because it degrades plan quality.

Mittauer, Kathryn [Department of Radiation Oncology, College of Medicine, University of Florida, Gainesville, Florida 32603 and J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida 32611 (United States); Lu Bo; Yan Guanghua; Kahler, Darren; Amdur, Robert; Liu Chihray [Department of Radiation Oncology, College of Medicine, University of Florida, Gainesville, Florida 32603 (United States); Gopal, Arun [Department of Radiation Oncology, New York-Presbyterian Hospital, Columbia University, New York, New York 10032 (United States)

2013-06-15T23:59:59.000Z

376

E-Print Network 3.0 - accurate parameter estimation Sample Search...  

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

and Aerospace Engineering, Building and Thermal Systems Research Group Collection: Energy Storage, Conversion and Utilization ; Engineering 3 Existing work on antenna arrays:...

377

E-Print Network 3.0 - aerodynamic parameter estimation Sample...  

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

Ecole Polytechnique, Centre de mathmatiques Collection: Mathematics 3 Journal of Wind Engineering and Industrial Aerodynamics 91 (2003) 15111528 Summary: in the identification...

378

Vadose zone influences on aquifer parameter estimates of saturated-zone hydraulic theory  

E-Print Network [OSTI]

Szilagyi* Conservation and Survey Division, University of Nebraska, 113 Nebraska Hall, Lincoln, NE 68588 aquifer properties at the scale of the watershed (Szilagyi et al., 1998). Such work is of the utmost-mail address: jszilagyil@unl.edu (J. Szilagyi). #12;(Fig. 1), and h is the changing phreatic surface

Szilagyi, Jozsef

379

DOE TASK 99-5 Update REFINEMENT AND VALIDATION OF IN SITU PARAMETER ESTIMATION  

E-Print Network [OSTI]

and Aerospace Engineering Stillwater, OK KEY WORDS geothermal energy, ground coupled, heat pump, heat exchanger facing designers of Ground Source Heat Pump (GSHP) systems applied in commercial, institutional as well as large residential buildings. The number of boreholes and the depth and cost of each borehole are highly

380

Wildlife Society Bulletin 2005, 33(3):11641168 Peer edited Methods for estimating demographic parameters  

E-Print Network [OSTI]

). Methods Thermal imaging system The thermal imaging camera used for locating fawns was a Raytheon PalmIR 250 Digital (24 Ã? 10 Ã? 10 cm; Raytheon Commercial In

Ditchkoff, Steve

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

Estimating Canopy Fuel Parameters with In-Situ and Remote Sensing Data  

E-Print Network [OSTI]

Crown fires, the fastest spreading of all forest fires, can occur in any forest type throughout the United States and the world. The occurrence of crown fires has become increasingly frequent and severe in recent years. The overall aim of this study...

Mutlu, Muge

2012-02-14T23:59:59.000Z

382

Estimation of parameters in thermal-field emission from diamond D.G. Walkera  

E-Print Network [OSTI]

: Thermal field emission; Diamond film 1. Introduction Polycrystalline diamond films can exhibit outstanding polycrystalline diamond films at elevated temperatures. Thermal effects are included in the models and provide. Wang et al. [10] observed emission from the region between grains in polycrystalline diamond films

Walker, D. Greg

383

Estimation of Parameters for Gaussian Random Variables using Robust Differential Geometric Techniques  

E-Print Network [OSTI]

: : : : : : : : : : : : : : : : : : : : : : : : : : : 39 x LIST OF TABLES TABLE Page I Choice of L for r values, n = 4;k = 0:1; = 0:1 : : : : : : : : : : : : 41 II Choice of L for r values, n = 4;k = 0:1; = 10 : : : : : : : : : : : : : 42 III Choice of L for r values, n = 4;k = 0:1; = 1... for r values, n = 4;k = 10; = 0:1 : : : : : : : : : : : : : 47 VIII Choice of L for r values, n = 4;k = 10; = 1 : : : : : : : : : : : : : : 48 IX Choice of L for r values, n = 4;k = 10; = 10 : : : : : : : : : : : : : 49 X Choice of L for r values, n = 10...

Yellapantula, Sudha

2010-01-16T23:59:59.000Z

384

Estimation of Hydraulic Parameters under Unsaturated Flow Conditions in Heap Leaching  

E-Print Network [OSTI]

experi- mental results from the Chilean copper mining industry and related works, and we obtain better is a widely used extraction method for low-grade minerals as well as copper, gold, silver, and uranium. Copper

Sepúlveda, Mauricio

385

Statistical Simulation to Estimate Uncertain Behavioral Parameters of Hybrid Energy-Economy Models  

E-Print Network [OSTI]

2011 # Springer Science+Business Media B.V. 2011 Abstract In energy-economy modeling, new hybrid models of the most energy-efficient or lowest emission technologies. Optimization models with technological detail disaggregated models. Where they cover all M. Jaccard (*) School of Resource and Environmental Management, Simon

386

State and Parameter Estimation for Nonlinearly Parameterized Systems: An H-Based Approach  

E-Print Network [OSTI]

Fjær Grip Ali Saberi Tor A. Johansen School of Electrical Engineering and Computer Science by an The work of Håvard Fjær Grip is supported by the Research Council of Norway. The work of Ali Saberi

Johansen, Tor Arne

387

State and Parameter Estimation for Linear Systems with Nonlinearly Parameterized Perturbations  

E-Print Network [OSTI]

Håvard Fjær Grip? Ali Saberi?? Tor A. Johansen? Abstract-- We consider systems that can be described of Ali Saberi is partially supported by National Science Foundation grant ECS-0528882 and NAVY grants ONR

Johansen, Tor Arne

388

Reducing Uncertainty in Estimates of Environmental Parameters From Ambient Noise Using Statistical Array Processing /  

E-Print Network [OSTI]

random media,” J. Phys. A: Math. ?eor. , vol. 44, p. 065102,random media,” J. Phys. A: Math. ?eor. , vol. 44, p. 065102,media,” J. Phys. A: Math. ?eor. 44, 065102 [24] R. Menon, P.

Menon, Ravishankar

2013-01-01T23:59:59.000Z

389

Estimating parameters of coalescing compact binaries with proposed advanced detector networks  

E-Print Network [OSTI]

The advanced versions of the LIGO and Virgo ground-based gravitational-wave detectors are expected to operate from three sites: Hanford, Livingston, and Cascina. Recent proposals have been made to place a fourth site in ...

Veitch, J.

390

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.

391

Human comfort and self-estimated performance in relation to indoor environmental parameters and building features  

E-Print Network [OSTI]

quality (IEQ) acceptance in residential buildings, Energyand Building, 41, 930- Lai, J.H.K. and Yik, F.W.H. (2007)of workers in office buildings: the European HOPE project,

Frontczak, Monika

2012-01-01T23:59:59.000Z

392

Estimation of Distributed Parameters in Permittivity Models of Composite Dielectric Materials Using  

E-Print Network [OSTI]

Metric Framework, inorganic glass. 1 #12;1 Introduction Complex materials such as ceramic matrix spectroscopy has been shown to have sensitivity to heat treated ceramic thermal barrier coatings, which

393

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

E-Print Network [OSTI]

from previous evaluations of fracture hydromechanicalof flow through fractures in rock, In: Proceedings ofsaturated, variable-aperture fracture, Geophys. Res. Lett. ,

Cappa, F.

2009-01-01T23:59:59.000Z

394

Refinement in the ultrasonic velocity data and estimation of the critical parameters for molten uranium dioxide  

E-Print Network [OSTI]

accurate exper- imental measurements on the density, and heat capacity of liquid UO2 up to $8000 K density and isobaric heat capacity, much more easily than other conventional methods [3,4]. Many of state for liquid urania has also been developed which predicts a critical temperature (Tc) % 10500 K

Azad, Abdul-Majeed

395

Parameter estimation from flowing fluid temperature logging data in unsaturated fractured rock using multiphase inverse modeling  

E-Print Network [OSTI]

that specific heat capacity, initial liquid saturation, andSpecific heat capacity Gas Saturation Liquid saturationheat capacity from FFTL, more precision in measurement is needed. Liquid

Mukhopadhyay, S.

2009-01-01T23:59:59.000Z

396

Dual attitude and parameter estimation of passively magnetically stabilized nano satellites$  

E-Print Network [OSTI]

satellite using few, small sensors. A candidate minimal sensor set would be the spacecraft's own solar attitude sensors, a result of having small budgets for mass and power. Attitude determination can still be performed on a nano satellite with low fidelity sensors, but an accurate model of the spacecraft attitude

397

Satisfaction and self-estimated performance in relation to indoor environmental parameters and building features  

E-Print Network [OSTI]

Conference on Healthy Buildings, Brisbane, Queensland.Conference on Healthy Buildings, Brisbane, Queensland.Conference on Healthy Buildings, Brisbane, Queensland.

Wargocki, Pawel; Frontczak, Monika; Schiavon, Stefano; Goins, John; Arens, Ed; Zhang, Hui

2012-01-01T23:59:59.000Z

398

Human comfort and self-estimated performance in relation to indoor environmental parameters and building features  

E-Print Network [OSTI]

In: Proceedings of Healthy Buildings Conference, Syracuse,In: Proceedings of Healthy Buildings Conference, Budapest,International Conference Healthy Buildings, Syracuse, NY USA

Frontczak, Monika

2012-01-01T23:59:59.000Z

399

Reducing Uncertainty in Estimates of Environmental Parameters From Ambient Noise Using Statistical Array Processing /  

E-Print Network [OSTI]

D. in Electrical Engineering (Applied Ocean Sciences), Uni-in Electrical Engineering (Applied Ocean Sciences) byElectrical Engineering (Applied Ocean Sciences) University

Menon, Ravishankar

2013-01-01T23:59:59.000Z

400

On Parameter and State Estimation for Linear Differential-Algebraic Equations  

E-Print Network [OSTI]

). These models arise as the natural product of object-oriented modeling languages, such as Modelica. However September 2005 #12;tations that are close to those of object-oriented mod- eling tools, like Modelica

Gustafsson, Fredrik

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

On Parameter and State Estimation for Linear Differential-Algebraic Equations  

E-Print Network [OSTI]

). These models arise as the natural product of object-oriented modeling languages, such as Modelica. However September 2006 #12;resentations that are close to those of object-oriented modeling tools, like Modelica

Schön, Thomas

402

Dynamic Structure Learning of Factor Graphs and Parameter Estimation of a Constrained Nonlinear  

E-Print Network [OSTI]

optimization is that the underlying reservoir structure is unknown and changes continuously over time. One of the popular oil recovery techniques is waterflooding, which injects water into injectors with the optimization is that the underlying structure of oil reservoirs is unknown and it continuously changes over

Southern California, University of

403

Modeling and parameter estimation for point-actuated continuous-facesheet  

E-Print Network [OSTI]

Stress focusing for controlled fracture in microelectromechanical systems Matthew A. Meitl,a Xue in microelectromechanical systems MEMSs based on the control of corner sharpness. Studies of model MEMS structures

404

OptIC project: An intercomparison of optimization techniques for parameter estimation in terrestrial biogeochemical models  

E-Print Network [OSTI]

and earth system models, especially for long-term (multian- nual and greater) simulations. Data assimilation

Richardson, Andrew D.

405

Estimation of Time-Domain Calibration Parameters to Restore MIMO-TDD Channel Reciprocity  

E-Print Network [OSTI]

an overcrowding of the radio spectrum, spurring research in innovative radio transmission techniques like cognitive radio (CR). CR enables coexistence of secondary (unlicensed) systems with primary licensed sys.unice.fr Abstract--Spatial interweave cognitive radio opportunistically exploits spatial holes to enable

Paris-Sud XI, Université de

406

Application of the Green-Ampt infiltration equation to watershed modeling with estimated parameters  

E-Print Network [OSTI]

1988) John Storrs Warinner, B. S. , Oregon State University Chair of Advisory Committee: Dr. Wesley P. James A computer model was developed, based upon the Green-Ampt infiltration equation, to compute cumulative rainfall excess for a single, given...

Warinner, John Storrs

2012-06-07T23:59:59.000Z

407

Estimation of Building Parameters Using Simplified Energy Balance Model and Metered Whole Building Energy Use  

E-Print Network [OSTI]

to the difference between the total energy entering and leaving the system. That is, CV entering leaving air cond sol occ E C H E E E Q Q Q Q Q E E ? ? ? ? ? ? ? ? ? ? (1) where Qair, Qcond, Qsol, Qocc, and QE are building heat load components from air... is defined as (Shao, 2006): BL E C H E C H air cond sol occ E Q E E fE E E Q Q Q Q ? ? ? ? ? ? ? ? ? ? ? (2) where EE is the metered whole-building non-cooling electricity use. The multiplicative factor f represents a fraction of EE which...

Masuda, H.; Claridge, D.

2012-01-01T23:59:59.000Z

408

hal-00119494,version1-10Dec2006 Error structures and parameter estimation  

E-Print Network [OSTI]

probabilistic approach we have to know the law of the pair (C, C) or equivalently the law of C and the conditional law of C given C. Thus, the study of error transmission is associated to the calculus of images of probability measures. Unfortunately, the knowledge of the law of C given C by means of experiment

Boyer, Edmond

409

On the vortex parameter estimation using wide band signals in active acoustic system  

E-Print Network [OSTI]

is an important operation in a large number of applications such as turbine monitoring, de- tection of a vortex in a closed hydraulic test loop. The objective of the work is to emphasize the effect

Paris-Sud XI, Université de

410

Estimation of uncertain parameters to improve modeling of Mirobially Induced Calcite Precipitation  

E-Print Network [OSTI]

in the subsurface or fracking could be reduced with sealing technologies like microbially induced calcite Injectionwellvicinity Fracking CO2 Reservoir Figure 1: Potential application sites of MICP as a sealing technology

Cirpka, Olaf Arie

411

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganizationElectronic Reading2Q)38232 Revision 1SC60993593

412

Parameter Estimation of Dynamic Air-conditioning Component Models Using Limited Sensor Data  

E-Print Network [OSTI]

.1). ?? , is the area of orifice opening and ?? is the coefficient of discharge of the expansion valve at that specific condition. Coefficient of discharge is a dependent on the EEV geometry and the thermal?fluid properties of the refrigerant flowing through... Area of application of bulb pressure ?2 Area of application of evaporator pressure ?? External surface area of the TEV bulb ??? Area of heat conduction between the refrigerant and the bulb ?? Area of opening for refrigerant flow in expansion...

Hariharan, Natarajkumar

2011-08-08T23:59:59.000Z

413

Order relations and prior distributions in the estimation of multivariate normal parameters with partial data  

E-Print Network [OSTI]

ORDER RELATIONS AND PRIOR DISTRIBU 'IONS IN 1:-IE ESTXYJiTION OF MULTIVARIATE NOPSLAL PARAI'E&iTiS NI~N PARTIAL DATA A Thesis by ABDUL MAJID HA?ZA AL-NASZR Submitt d o the Grad. nate College oi' Texas UM Univ rsity in partial fu' fillment . f... the requirement for the aegree of MASTER OF SCIENCE August 1968 Major Subject: Statistics ORDER RELATIONS AND PRIOR DISTRIBUTIONS IJJ THE ESTI1UTION OF MULTIVARIATE NORJJAL PARtuETERS NlTH PARTIAL DATA A Thesis ( by ABDUL IJAJID HANZA AL-NASIR Approved...

Al-Nasir, Abdul Majid Hamza

1968-01-01T23:59:59.000Z

414

A study of the properties of functional parameters of spatial processes for spectral estimation  

E-Print Network [OSTI]

that we observe a spatial process Z(si), i=1, . . . , n. Z(si) denotes the variable of interest at location si in B" where d is the dimension of the process. We will also assume that the process Z(. ) has a constant mean y, . If this condition.... This paper follows the style of the Journal of the American Statistical Association. Consider the predictor with the constraint Z(sp) = Q A;Z(si), i=1 (Cl) to ensure uniform unbiasedness of Z, that is, E(Z(sp)) = E(Z(sp)) for sp in Rd. Minimizing...

Fayolle, Jean-Michel

2012-06-07T23:59:59.000Z

415

On-line parameter estimation via algebraic method: An experimental illustration.  

E-Print Network [OSTI]

identification. This algorithm is illustrated experimentally on a Permanent Magnet Stepper Motor (PMSM identification, Algebraic method, Magnetic bearing, PMSM. I. INTRODUCTION This article is concerned

Paris-Sud XI, Université de

416

Regionalization of subsurface stormflow parameters of hydrologic models: Derivation from regional analysis of streamflow recession curves  

SciTech Connect (OSTI)

Subsurface stormflow is an important component of the rainfall–runoff response, especially in steep terrain. Its contribution to total runoff is, however, poorly represented in the current generation of land surface models. The lack of physical basis of these common parameterizations precludes a priori estimation of the stormflow (i.e. without calibration), which is a major drawback for prediction in ungauged basins, or for use in global land surface models. This paper is aimed at deriving regionalized parameterizations of the storage–discharge relationship relating to subsurface stormflow from a top–down empirical data analysis of streamflow recession curves extracted from 50 eastern United States catchments. Detailed regression analyses were performed between parameters of the empirical storage–discharge relationships and the controlling climate, soil and topographic characteristics. The regression analyses performed on empirical recession curves at catchment scale indicated that the coefficient of the power-law form storage–discharge relationship is closely related to the catchment hydrologic characteristics, which is consistent with the hydraulic theory derived mainly at the hillslope scale. As for the exponent, besides the role of field scale soil hydraulic properties as suggested by hydraulic theory, it is found to be more strongly affected by climate (aridity) at the catchment scale. At a fundamental level these results point to the need for more detailed exploration of the co-dependence of soil, vegetation and topography with climate.

Ye, Sheng; Li, Hongyi; Huang, Maoyi; Ali, Melkamu; Leng, Guoyong; Leung, Lai-Yung R.; Wang, Shaowen; Sivapalan, Murugesu

2014-07-21T23:59:59.000Z

417

Entanglement Generation by Electric Field Background  

E-Print Network [OSTI]

The quantum vacuum is unstable under the influence of an external electric field and decays into pairs of charged particles, a process which is known as the Schwinger pair production. We propose and demonstrate that this electric field can generate entanglement. Using the Schwinger pair production for constant and pulsed electric fields, we study entanglement for scalar particles with zero spins and Dirac fermions. One can observe the variation of the entanglement produced for bosonic and fermionic modes with respect to different parameters.

Zahra Ebadi; Behrouz Mirza

2014-10-12T23:59:59.000Z

418

Entanglement Generation by Electric Field Background  

E-Print Network [OSTI]

The quantum vacuum is unstable under the influence of an external electric field and decays into pairs of charged particles, a process which is known as the Schwinger pair production. We propose and demonstrate that this electric field can generate entanglement. Using the Schwinger pair production for constant and pulsed electric fields, we study entanglement for scalar particles with zero spins and Dirac fermions. One can observe the variation of the entanglement produced for bosonic and fermionic modes with respect to different parameters.

Ebadi, Zahra

2014-01-01T23:59:59.000Z

419

SPACE TECHNOLOGY Actual Estimate  

E-Print Network [OSTI]

SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.6 29.5 29.5 29.5 29.5 29.5 29.5 Crosscutting Space Tech Development 120.4 187.7 293.8 272.1 266.6 259.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE

420

Shaft generator transmissions  

SciTech Connect (OSTI)

Economical on-board power can be generated from two-stroke, low-speed engines by installing a multistage hollow-shaft gearbox on the propeller intermediate shaft to drive the generator. Gearbox manufacturer Asug, based in Dessau, Germany, has designed units specifically for this purpose. The Asug shaft generator drive concept for generator drives at the front end of the engine is designed to reduce installation costs and uses an integrated engine-gearbox foundation. The complete propulsion system, consisting of the diesel engine, gear with coupling and generator, can be completely or partially preassembled outside the ship`s engine room to reduce onboard assembly time. A separate foundation for this arrangement is not necessary. The company offers a full range of gearboxes to generate power from 500 kW up to 5000 kW. Gearboxes driven from the forward engine end often incorporate an additional gear stage to gain energy from an exhaust turbine. This arrangement feeds part of the exhaust energy back into the system to increase efficiency. Latest installations of Asug shaft generator gears are in container ships and cargo/container ships built in Turkey and China.

NONE

1995-11-01T23:59:59.000Z

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.


421

Wind power generating system  

SciTech Connect (OSTI)

Normally feathered propeller blades of a wind power generating system unfeather in response to the actuation of a power cylinder that responds to actuating signals. Once operational, the propellers generate power over a large range of wind velocities. A maximum power generation design point signals a feather response of the propellers so that once the design point is reached no increase in power results, but the system still generates power. At wind speeds below this maximum point, propeller speed and power output optimize to preset values. The propellers drive a positive displacement pump that in turn drives a positive displacement motor of the swash plate type. The displacement of the motor varies depending on the load on the system, with increasing displacement resulting in increasing propeller speeds, and the converse. In the event of dangerous but not clandestine problems developing in the system, a control circuit dumps hydraulic pressure from the unfeathering cylinder resulting in a predetermined, lower operating pressure produced by the pump. In the event that a problem of potentially cladestine consequence arises, the propeller unfeathering cylinder immediately unloads. Upon startup, a bypass around the motor is blocked, applying a pressure across the motor. The motor drives the generator until the generator reaches a predetermined speed whereupon the generator is placed in circuit with a utility grid and permitted to motor up to synchronous speed.

Schachle, Ch.; Schachle, E. C.; Schachle, J. R.; Schachle, P. J.

1985-03-12T23:59:59.000Z

422

Compact neutron generator  

DOE Patents [OSTI]

A compact neutron generator has at its outer circumference a toroidal shaped plasma chamber in which a tritium (or other) plasma is generated. A RF antenna is wrapped around the plasma chamber. A plurality of tritium ion beamlets are extracted through spaced extraction apertures of a plasma electrode on the inner surface of the toroidal plasma chamber and directed inwardly toward the center of neutron generator. The beamlets pass through spaced acceleration and focusing electrodes to a neutron generating target at the center of neutron generator. The target is typically made of titanium tubing. Water is flowed through the tubing for cooling. The beam can be pulsed rapidly to achieve ultrashort neutron bursts. The target may be moved rapidly up and down so that the average power deposited on the surface of the target may be kept at a reasonable level. The neutron generator can produce fast neutrons from a T-T reaction which can be used for luggage and cargo interrogation applications. A luggage or cargo inspection system has a pulsed T-T neutron generator or source at the center, surrounded by associated gamma detectors and other components for identifying explosives or other contraband.

Leung, Ka-Ngo; Lou, Tak Pui

2005-03-22T23:59:59.000Z

423

Use of Slip Ring Induction Generator for Wind Power Generation  

E-Print Network [OSTI]

Wind energy is now firmly established as a mature technology for electricity generation. There are different types of generators that can be used for wind energy generation, among which Slip ring Induction generator proves to be more advantageous. To analyse application of Slip ring Induction generator for wind power generation, an experimental model is developed and results are studied. As power generation from natural sources is the need today and variable speed wind energy is ample in amount in India, it is necessary to study more beneficial options for wind energy generating techniques. From this need a model is developed by using Slip ring Induction generator which is a type of Asynchronous generator.

K Y Patil; D S Chavan

424

Selection and Traceability of Parameters To Support Hanford-Specific RESRAD Analyses -- Fiscal Year 2008 Status Report  

SciTech Connect (OSTI)

In fiscal years 2007 and 2008, the Hanford Site Groundwater Remediation Project, formerly managed by Fluor Hanford, Inc., requested the Pacific Northwest National Laboratory (PNNL) to support the development and initial implementation of a strategy to establish and maintain, under configuration control, a set of Hanford-specific flow and transport parameter estimates that can be used to support Hanford Site assessments. This document provides a summary of those efforts, culminating in a set of best-estimate Hanford-specific parameters for use in place of the default parameters used in the RESRAD code. The RESRAD code is a computer model designed to estimate radiation doses and risks from RESidual RADioactive materials. The long-term goals of the PNNL work are to improve the consistency, defensibility, and traceability of parameters and their ranges of variability, and to ensure a sound basis for assigning parameters for flow and transport models in the code. The strategy was to start by identifying the existing parameter data sets most recently used in site assessments, documenting these parameter data sets and the raw data sets on which they were based, and using the existing parameter sets to define best-estimate parameters for use in the RESRAD code. The Hanford-specific assessment parameters compiled for use in RESRAD are traceable back to the professional judgment of the authors of published documents. Within the references, parameters are often not directly traceable back to the raw data and analytical approaches used to derive the assessment parameters. Future activities will work to continuously improve the defensibility and traceability of the parameter data sets and to address limitations and technical issues associated with the existing assessment parameter data sets.

Last, George V.; Rockhold, Mark L.; Murray, Christopher J.; Cantrell, Kirk J.

2009-07-24T23:59:59.000Z

425

Hydrogen Generation From Electrolysis  

SciTech Connect (OSTI)

Small-scale (100-500 kg H2/day) electrolysis is an important step in increasing the use of hydrogen as fuel. Until there is a large population of hydrogen fueled vehicles, the smaller production systems will be the most cost-effective. Performing conceptual designs and analyses in this size range enables identification of issues and/or opportunities for improvement in approach on the path to 1500 kg H2/day and larger systems. The objectives of this program are to establish the possible pathways to cost effective larger Proton Exchange Membrane (PEM) water electrolysis systems and to identify areas where future research and development efforts have the opportunity for the greatest impact in terms of capital cost reduction and efficiency improvements. System design and analysis was conducted to determine the overall electrolysis system component architecture and develop a life cycle cost estimate. A design trade study identified subsystem components and configurations based on the trade-offs between system efficiency, cost and lifetime. Laboratory testing of components was conducted to optimize performance and decrease cost, and this data was used as input to modeling of system performance and cost. PEM electrolysis has historically been burdened by high capital costs and lower efficiency than required for large-scale hydrogen production. This was known going into the program and solutions to these issues were the focus of the work. The program provided insights to significant cost reduction and efficiency improvement opportunities for PEM electrolysis. The work performed revealed many improvement ideas that when utilized together can make significant progress towards the technical and cost targets of the DOE program. The cell stack capital cost requires reduction to approximately 25% of today’s technology. The pathway to achieve this is through part count reduction, use of thinner membranes, and catalyst loading reduction. Large-scale power supplies are available today that perform in a range of efficiencies, >95%, that are suitable for the overall operational goals. The balance of plant scales well both operationally and in terms of cost becoming a smaller portion of the overall cost equation as the systems get larger. Capital cost reduction of the cell stack power supplies is achievable by modifying the system configuration to have the cell stacks in electrical series driving up the DC bus voltage, thereby allowing the use of large-scale DC power supply technologies. The single power supply approach reduces cost. Elements of the cell stack cost reduction and efficiency improvement work performed in the early stage of the program is being continued in subsequent DOE sponsored programs and through internal investment by Proton. The results of the trade study of the 100 kg H2/day system have established a conceptual platform for design and development of a next generation electrolyzer for Proton. The advancements started by this program have the possibility of being realized in systems for the developing fueling markets in 2010 period.

Steven Cohen; Stephen Porter; Oscar Chow; David Henderson

2009-03-06T23:59:59.000Z

426

Parameters Identification for Motorcycle Simulator's Platform Characterization  

E-Print Network [OSTI]

Parameters Identification for Motorcycle Simulator's Platform Characterization L. Nehaoua H modeling and parameters identification of a motorcycle simulator's platform. This model begins with some (cars and motorcycles) is possible by taking in care some characteristics of land vehicles. Indeed

Paris-Sud XI, Université de

427

Updated greenhouse gas and criteria air pollutant emission factors and their probability distribution functions for electricity generating units  

SciTech Connect (OSTI)

Greenhouse gas (CO{sub 2}, CH{sub 4} and N{sub 2}O, hereinafter GHG) and criteria air pollutant (CO, NO{sub x}, VOC, PM{sub 10}, PM{sub 2.5} and SO{sub x}, hereinafter CAP) emission factors for various types of power plants burning various fuels with different technologies are important upstream parameters for estimating life-cycle emissions associated with alternative vehicle/fuel systems in the transportation sector, especially electric vehicles. The emission factors are typically expressed in grams of GHG or CAP per kWh of electricity generated by a specific power generation technology. This document describes our approach for updating and expanding GHG and CAP emission factors in the GREET (Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation) model developed at Argonne National Laboratory (see Wang 1999 and the GREET website at http://greet.es.anl.gov/main) for various power generation technologies. These GHG and CAP emissions are used to estimate the impact of electricity use by stationary and transportation applications on their fuel-cycle emissions. The electricity generation mixes and the fuel shares attributable to various combustion technologies at the national, regional and state levels are also updated in this document. The energy conversion efficiencies of electric generating units (EGUs) by fuel type and combustion technology are calculated on the basis of the lower heating values of each fuel, to be consistent with the basis used in GREET for transportation fuels. On the basis of the updated GHG and CAP emission factors and energy efficiencies of EGUs, the probability distribution functions (PDFs), which are functions that describe the relative likelihood for the emission factors and energy efficiencies as random variables to take on a given value by the integral of their own probability distributions, are updated using best-fit statistical curves to characterize the uncertainties associated with GHG and CAP emissions in life-cycle modeling with GREET.

Cai, H.; Wang, M.; Elgowainy, A.; Han, J. (Energy Systems)

2012-07-06T23:59:59.000Z

428

Graph Generator Survey  

SciTech Connect (OSTI)

The benchmarking effort within the Extreme Scale Systems Center at Oak Ridge National Laboratory seeks to provide High Performance Computing benchmarks and test suites of interest to the DoD sponsor. The work described in this report is a part of the effort focusing on graph generation. A previously developed benchmark, SystemBurn, allowed the emulation of dierent application behavior profiles within a single framework. To complement this effort, similar capabilities are desired for graph-centric problems. This report examines existing synthetic graph generator implementations in preparation for further study on the properties of their generated synthetic graphs.

Lothian, Josh [ORNL; Powers, Sarah S [ORNL; Sullivan, Blair D [ORNL; Baker, Matthew B [ORNL; Schrock, Jonathan [ORNL; Poole, Stephen W [ORNL

2013-12-01T23:59:59.000Z

429

Synthetic guide star generation  

DOE Patents [OSTI]

A system for assisting in observing a celestial object and providing synthetic guide star generation. A lasing system provides radiation at a frequency at or near 938 nm and radiation at a frequency at or near 1583 nm. The lasing system includes a fiber laser operating between 880 nm and 960 nm and a fiber laser operating between 1524 nm and 1650 nm. A frequency-conversion system mixes the radiation and generates light at a frequency at or near 589 nm. A system directs the light at a frequency at or near 589 nm toward the celestial object and provides synthetic guide star generation.

Payne, Stephen A. (Castro Valley, CA) [Castro Valley, CA; Page, Ralph H. (Castro Valley, CA) [Castro Valley, CA; Ebbers, Christopher A. (Livermore, CA) [Livermore, CA; Beach, Raymond J. (Livermore, CA) [Livermore, CA

2008-06-10T23:59:59.000Z

430

Planet Parameters in Microlensing Events  

E-Print Network [OSTI]

A planetary microlensing event occurs when a planet perturbs one of the two images created in a point-mass microlensing event, causing a deviation from the standard Paczy\\'nski curve. Determination of the two physical parameters that can be extracted from a planetary microlensing event, the planet/star mass ratio q, and the planet/star separation in units of the stellar Einstein ring, $y_p$, is hampered by several types of degeneracies. There are two distinct and qualitatively different classes of planetary events: major and minor image perturbations. For major image perturbations, there is a potentially crippling continuous degeneracy in q which is of order $\\delta_d^{-1}$, where $\\delta_d$ is the maximum fractional deviation of the planetary perturbation. Since the threshold of detection is expected to be $\\delta_d \\sim 5%$, this degeneracy in q can be a factor of $\\sim 20$. For minor image perturbations, the continuous degeneracy in q is considerably less severe, and is typically less than a factor 4. We show that these degeneracies can be resolved by observations from dedicated telescopes on several continents together with optical/infrared photometry from one of these sites. There also exists a class of discrete degeneracies. These are typically easy to resolve given good temporal coverage of the planetary event. Unambiguous interpretation of planetary microlensing events requires the resolution of both types of degeneracy. We describe the degeneracies in detail and specify the situations in which they are problematic. We also describe how individual planet masses and physical projected separations can be measured.

B. Scott Gaudi; Andrew Gould

1996-10-16T23:59:59.000Z

431

Psychological scaling of expert estimates of human error probabilities: application to nuclear power plant operation  

SciTech Connect (OSTI)

The US Nuclear Regulatory Commission and Sandia National Laboratories sponsored a project to evaluate psychological scaling techniques for use in generating estimates of human error probabilities. The project evaluated two techniques: direct numerical estimation and paired comparisons. Expert estimates were found to be consistent across and within judges. Convergent validity was good, in comparison to estimates in a handbook of human reliability. Predictive validity could not be established because of the lack of actual relative frequencies of error (which will be a difficulty inherent in validation of any procedure used to estimate HEPs). Application of expert estimates in probabilistic risk assessment and in human factors is discussed.

Comer, K.; Gaddy, C.D.; Seaver, D.A.; Stillwell, W.G.

1985-01-01T23:59:59.000Z

432

Automated Tuning of Optimization Software Parameters  

E-Print Network [OSTI]

Automated Tuning of Optimization Software Parameters. University of Pittsburgh Department of Industrial Engineering. Technical Report 2007-7. Mustafa Baz ...

2007-10-29T23:59:59.000Z

433

Automated Tuning of Optimization Software Parameters  

E-Print Network [OSTI]

Oct 29, 2007 ... Keywords: parameter tuning, machine learning, design of experiments, artificial intelligence. Category 1: Optimization Software and Modeling ...

Mustafa Baz

2007-10-29T23:59:59.000Z

434

DEVELOPMENT OF VADOSE-ZONE HYDRAULIC PARAMETER VALUES  

SciTech Connect (OSTI)

Several approaches have been developed to establish a relation between the soil-moisture retention curve and readily available soil properties. Those relationships are referred to as pedotransfer functions. Described in this paper are the rationale, approach, and corroboration for use of a nonparametric pedotransfer function for the estimation of soil hydraulic-parameter values at the yucca Mountain area in Nevada for simulations of net infiltration. This approach, shown to be applicable for use at Yucca Mountain, is also applicable for use at the Hanford Site where the underlying data were collected.

ROGERS PM

2008-01-21T23:59:59.000Z

435

Perturbed power-law parameters from WMAP7  

SciTech Connect (OSTI)

We present a perturbative approach for studying inflation models with soft departures from scale free spectra of the power law model. In the perturbed power law (PPL) approach one obtains at the leading order both the scalar and tensor power spectra with the running of their spectral indices. In contrast to the widely used slow roll expansion method, for which ? and ? have to be small, PPL can look also at models with comparatively larger ? and ? with the condition that (?+?) is small. The PPL spectrum is confronted data and we show that the PPL parameters are well estimated from WMAP-7 data.

Joy, Minu [Dept. of Physics, Alphonsa College, Pala 686574 (India); Souradeep, Tarun, E-mail: minu@iucaa.ernet.in, E-mail: tarun@iucaa.ernet.in [Inter-University Centre for Astronomy and Astrophysics, Post Bag 4, Ganeshkhind, Pune 411 007 (India)

2011-02-01T23:59:59.000Z

436

Finding New Thermoelectric Compounds Using Crystallographic Data: Atomic Displacement Parameters  

SciTech Connect (OSTI)

A new structure-property relationship is discussed which links atomic displacement parameters (ADPs) and the lattice thermal conductivity of clathrate-like compounds. For many clathrate-like compounds, in which one of the atom types is weakly bound and ''rattles'' within its atomic cage, room temperature ADP information can be used to estimate the room temperature lattice thermal conductivity, the vibration frequency of the ''rattler'', and the temperature dependence of the heat capacity. Neutron data and X-ray crystallography data, reported in the literature, are used to apply this analysis to several promising classes of thermoelectric materials.

Chakoumakos, B.C.; Mandrus, D.G.; Sales, B.C.; Sharp, J.W.

1999-08-29T23:59:59.000Z

437

Outdoor PV Module Degradation of Current-Voltage Parameters: Preprint  

SciTech Connect (OSTI)

Photovoltaic (PV) module degradation rate analysis quantifies the loss of PV power output over time and is useful for estimating the impact of degradation on the cost of energy. An understanding of the degradation of all current-voltage (I-V) parameters helps to determine the cause of the degradation and also gives useful information for the design of the system. This study reports on data collected from 12 distinct mono- and poly-crystalline modules deployed at the National Renewable Energy Laboratory (NREL) in Golden, Colorado. Most modules investigated showed < 0.5%/year decrease in maximum power due to short-circuit current decline.

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

2012-04-01T23:59:59.000Z

438

Free Parameters and Frameworks in Minimal Supersymmetry  

E-Print Network [OSTI]

405 Appendix A Free Parameters and Frameworks in Minimal Supersymmetry It is useful to discuss what the various schemes that exist for reducing the set of free parameters to a manageable number. The information, and so is fixed by experiment. The free parameters consist mainly of the coe#cients of the ``soft

California at Berkeley, University of

439

Free Parameters and Frameworks in Minimal Supersymmetry  

E-Print Network [OSTI]

405 Appendix A Free Parameters and Frameworks in Minimal Supersymmetry It is useful to discuss what the various schemes that exist for reducing the set of free parameters to a manageable number. The information, and so is fixed by experiment. The free parameters consist mainly of the coefficients of the "soft

California at Berkeley, University of

440

Nonparametric estimation of econometric models with categorical variables  

E-Print Network [OSTI]

-validated smoothing parameters differ in their asymptotic behavior depending on whether a variable is uniformly distributed or not. In chapter IV, we consider a k-n-n estimation of regression function with k selected by a cross validation method. We consider both...

Ouyang, Desheng

2006-10-30T23:59:59.000Z

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

Panel Damping Loss Factor Estimation Using The Random Decrement Technique  

E-Print Network [OSTI]

The use of the Random Decrement Technique (RDT) for estimating panel damping loss factors ranging from 1% to 10% is examined in a systematic way, with a focus on establishing the various parameters one must specify to use the technique to the best...

Dande, Himanshu Amol

2010-12-10T23:59:59.000Z

442

Generating electricity from viruses  

SciTech Connect (OSTI)

Berkeley Lab's Seung-Wuk Lee discusses "Generating electricity from viruses" in this Oct. 28, 2013 talk, which is part of a Science at the Theater event entitled Eight Big Ideas.

Lee, Seung-Wuk

2013-10-31T23:59:59.000Z

443

Energy and Mass Generation  

E-Print Network [OSTI]

Modifications in the energy momentum dispersion laws due to a noncommutative geometry, have been considered in recent years. We examine the oscillations of extended objects in this perspective and find that there is now a "generation" of energy.

Burra G. Sidharth

2010-03-11T23:59:59.000Z

444

Contextualizing generative design  

E-Print Network [OSTI]

Generative systems have been widely used to produce two- and three-dimensional constructs, in an attempt to escape from our preconceptions and pre-existing spatial language. The challenge is to use this mechanism in ...

Arida, Saeed, 1977-

2004-01-01T23:59:59.000Z

445

Monte Carlo event generators  

SciTech Connect (OSTI)

I review recent progress in the physics of parton shower Monte Carlos, emphasizing the ideas which allow the inclusion of higher-order matrix elements into the framework of event generators.

Frixione, Stefano [INFN, Sezione di Genova, Via Dodecaneso 33, 16146 Genova (Italy)

2005-10-06T23:59:59.000Z

446

Generating electricity from viruses  

ScienceCinema (OSTI)

Berkeley Lab's Seung-Wuk Lee discusses "Generating electricity from viruses" in this Oct. 28, 2013 talk, which is part of a Science at the Theater event entitled Eight Big Ideas.

Lee, Seung-Wuk

2014-06-23T23:59:59.000Z

447

Oscillating fluid power generator  

SciTech Connect (OSTI)

A system and method for harvesting the kinetic energy of a fluid flow for power generation with a vertically oriented, aerodynamic wing structure comprising one or more airfoil elements pivotably attached to a mast. When activated by the moving fluid stream, the wing structure oscillates back and forth, generating lift first in one direction then in the opposite direction. This oscillating movement is converted to unidirectional rotational movement in order to provide motive power to an electricity generator. Unlike other oscillating devices, this device is designed to harvest the maximum aerodynamic lift forces available for a given oscillation cycle. Because the system is not subjected to the same intense forces and stresses as turbine systems, it can be constructed less expensively, reducing the cost of electricity generation. The system can be grouped in more compact clusters, be less evident in the landscape, and present reduced risk to avian species.

Morris, David C

2014-02-25T23:59:59.000Z

448

Demonstration of Entanglement-Enhanced Phase Estimation in Solid  

E-Print Network [OSTI]

Precise parameter estimation plays a central role in science and technology. The statistical error in estimation can be decreased by repeating measurement, leading to that the resultant uncertainty of the estimated parameter is proportional to the square root of the number of repetitions in accordance with the central limit theorem. Quantum parameter estimation, an emerging field of quantum technology, aims to use quantum resources to yield higher statistical precision than classical approaches. Here, we report the first room-temperature implementation of entanglement-enhanced phase estimation in a solid-state system: the nitrogen-vacancy (NV) centre in pure diamond. We demonstrate a super-resolving phase measurement with two entangled qubits of different physical realizations: a NV centre electron spin and a proximal ${}^{13}$C nuclear spin. The experimental data shows clearly the uncertainty reduction when entanglement resource is used, confirming the theoretical expectation. Our results represent a more generalized and elemental demonstration of enhancement of quantum metrology against classical procedure, which fully exploits the quantum nature of the system and probes.

Gang-Qin Liu; Yu-Ran Zhang; Yan-Chun Chang; Jie-Dong Yue; Heng Fan; Xin-Yu Pan

2014-08-03T23:59:59.000Z

449

Steam generator tube failures  

SciTech Connect (OSTI)

A review and summary of the available information on steam generator tubing failures and the impact of these failures on plant safety is presented. The following topics are covered: pressurized water reactor (PWR), Canadian deuterium uranium (CANDU) reactor, and Russian water moderated, water cooled energy reactor (VVER) steam generator degradation, PWR steam generator tube ruptures, the thermal-hydraulic response of a PWR plant with a faulted steam generator, the risk significance of steam generator tube rupture accidents, tubing inspection requirements and fitness-for-service criteria in various countries, and defect detection reliability and sizing accuracy. A significant number of steam generator tubes are defective and are removed from service or repaired each year. This wide spread damage has been caused by many diverse degradation mechanisms, some of which are difficult to detect and predict. In addition, spontaneous tube ruptures have occurred at the rate of about one every 2 years over the last 20 years, and incipient tube ruptures (tube failures usually identified with leak detection monitors just before rupture) have been occurring at the rate of about one per year. These ruptures have caused complex plant transients which have not always been easy for the reactor operators to control. Our analysis shows that if more than 15 tubes rupture during a main steam line break, the system response could lead to core melting. Although spontaneous and induced steam generator tube ruptures are small contributors to the total core damage frequency calculated in probabilistic risk assessments, they are risk significant because the radionuclides are likely to bypass the reactor containment building. The frequency of steam generator tube ruptures can be significantly reduced through appropriate and timely inspections and repairs or removal from service.

MacDonald, P.E.; Shah, V.N.; Ward, L.W.; Ellison, P.G.

1996-04-01T23:59:59.000Z

450

Energy Expenditure Estimation DEMO Application  

E-Print Network [OSTI]

and against the SenseWear, a dedicated commercial product for energy expenditure estimation. Keywords: humanEnergy Expenditure Estimation DEMO Application Bozidara Cvetkovi´c1,2 , Simon Kozina1,2 , Bostjan://www.mps.si Abstract. The paper presents two prototypes for the estimation of hu- man energy expenditure during normal

Lu?trek, Mitja

451

ESTIMATION OF CRACK-ARREST TOUGHNESS TRANSITION AND NDT TEMPERATURES FROM CHARPY FORCE-DISPLACEMENT IMPACT TRACES  

SciTech Connect (OSTI)

A force-displacement trace of a Charpy impact test of a reactor pressure vessel (RPV) steel in the transition range has a characteristic point, the so-called force at the end of unstable crack propagation , Fa. A two-parameter Weibull probability function is used to model the distribution of the Fa in Charpy tests performed at ORNL on different RPV steels in the unirradiated and irradiated conditions. These data have a good replication at a given test temperature, thus, the statistical analysis was applicable. It is shown that when temperature is normalized to TNDT (T-TNDT) or to T100a (T-T100a), the median Fa values of different RPV steels have a tendency to form the same shape of temperature dependence. Depending on normalization temperature, TNDT or T100a, it suggests a universal shape of the temperature dependence of Fa for different RPV steels. The best fits for these temperature dependencies are presented. These dependencies are suggested for use in estimation of NDT or T100a from randomly generated Charpy impact tests. The maximum likelihood methods are used to derive equations to estimate TNDT and T100a from randomly generated Charpy impact tests.

Sokolov, Mikhail A [ORNL

2010-01-01T23:59:59.000Z

452

Nuclear Magnetic Resonance (NMR) is the only logging technique available to estimate pore-size  

E-Print Network [OSTI]

1 ABSTRACT Nuclear Magnetic Resonance (NMR) is the only logging technique available to estimate, Nuclear Magnetic Resonance (NMR) logging has been used to assess a handful of key petrophysical parameters

Torres-Verdín, Carlos

453

A quantitative framework For large-scale model estimation and discrimination In systems biology  

E-Print Network [OSTI]

Using models to simulate and analyze biological networks requires principled approaches to parameter estimation and model discrimination. We use Bayesian and Monte Carlo methods to recover the full probability distributions ...

Eydgahi, Hoda

2013-01-01T23:59:59.000Z

454

Cost Estimating, Analysis, and Standardization  

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

To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992

1984-11-02T23:59:59.000Z

455

The Effects of an Increasing Surplus of Energy Generating Capability in the Pacific Northwest  

E-Print Network [OSTI]

limit the extent to which operators of wind generation can economically displace wind generation adequacy, reliability, and efficiency. This paper presents estimates of the effect of incremental wind generation on the frequency of excess energy events and on the costs and other implications of dealing

456

Position estimator for a brushless-DC machine  

E-Print Network [OSTI]

of machine a powerful alternative for electric vehicles (EVs) and HEVs applications (Chan and Chau, 1997 application is for a hybrid electric vehicle, where the generator will be used as a motor to start electric vehicle (EV). The first one uses an estimation method based on core saturation and the second one

Catholic University of Chile (Universidad Católica de Chile)

457

MHD Generating system  

DOE Patents [OSTI]

According to the present invention, coal combustion gas is the primary working fluid and copper or a copper alloy is the electrodynamic fluid in the MHD generator, thereby eliminating the heat exchangers between the combustor and the liquid-metal MHD working fluids, allowing the use of a conventional coalfired steam bottoming plant, and making the plant simpler, more efficient and cheaper. In operation, the gas and liquid are combined in a mixer and the resulting two-phase mixture enters the MHD generator. The MHD generator acts as a turbine and electric generator in one unit wherein the gas expands, drives the liquid across the magnetic field and thus generates electrical power. The gas and liquid are separated, and the available energy in the gas is recovered before the gas is exhausted to the atmosphere. Where the combustion gas contains sulfur, oxygen is bubbled through a side loop to remove sulfur therefrom as a concentrated stream of sulfur dioxide. The combustor is operated substoichiometrically to control the oxide level in the copper.

Petrick, Michael (Joliet, IL); Pierson, Edward S. (Chicago, IL); Schreiner, Felix (Mokena, IL)

1980-01-01T23:59:59.000Z

458

Superconducting thermoelectric generator  

DOE Patents [OSTI]

Thermoelectricity is produced by applying a temperature differential to dissimilar electrically conducting or semiconducting materials, thereby producing a voltage that is proportional to the temperature difference. Thermoelectric generators use this effect to directly convert heat into electricity; however, presently-known generators have low efficiencies due to the production of high currents which in turn cause large resistive heating losses. Some thermoelectric generators operate at efficiencies between 4% and 7% in the 800{degrees} to 1200{degrees}C range. According to its major aspects and bradly stated, the present invention is an apparatus and method for producing electricity from heat. In particular, the invention is a thermoelectric generator that juxtaposes a superconducting material and a semiconducting material - so that the superconducting and the semiconducting materials touch - to convert heat energy into electrical energy without resistive losses in the temperature range below the critical temperature of the superconducting material. Preferably, an array of superconducting material is encased in one of several possible configurations within a second material having a high thermal conductivity, preferably a semiconductor, to form a thermoelectric generator.

Metzger, J.D.; El-Genk, M.S.

1994-01-01T23:59:59.000Z

459

Life Cycle Greenhouse Gas Emissions of Nuclear Electricity Generation: Systematic Review and Harmonization  

SciTech Connect (OSTI)

A systematic review and harmonization of life cycle assessment (LCA) literature of nuclear electricity generation technologies was performed to determine causes of and, where possible, reduce variability in estimates of life cycle greenhouse gas (GHG) emissions to clarify the state of knowledge and inform decision making. LCA literature indicates that life cycle GHG emissions from nuclear power are a fraction of traditional fossil sources, but the conditions and assumptions under which nuclear power are deployed can have a significant impact on the magnitude of life cycle GHG emissions relative to renewable technologies. Screening 274 references yielded 27 that reported 99 independent estimates of life cycle GHG emissions from light water reactors (LWRs). The published median, interquartile range (IQR), and range for the pool of LWR life cycle GHG emission estimates were 13, 23, and 220 grams of carbon dioxide equivalent per kilowatt-hour (g CO{sub 2}-eq/kWh), respectively. After harmonizing methods to use consistent gross system boundaries and values for several important system parameters, the same statistics were 12, 17, and 110 g CO{sub 2}-eq/kWh, respectively. Harmonization (especially of performance characteristics) clarifies the estimation of central tendency and variability. To explain the remaining variability, several additional, highly influential consequential factors were examined using other methods. These factors included the primary source energy mix, uranium ore grade, and the selected LCA method. For example, a scenario analysis of future global nuclear development examined the effects of a decreasing global uranium market-average ore grade on life cycle GHG emissions. Depending on conditions, median life cycle GHG emissions could be 9 to 110 g CO{sub 2}-eq/kWh by 2050.

Warner, E. S.; Heath, G. A.

2012-04-01T23:59:59.000Z

460

Spherical neutron generator  

DOE Patents [OSTI]

A spherical neutron generator is formed with a small spherical target and a spherical shell RF-driven plasma ion source surrounding the target. A deuterium (or deuterium and tritium) ion plasma is produced by RF excitation in the plasma ion source using an RF antenna. The plasma generation region is a spherical shell between an outer chamber and an inner extraction electrode. A spherical neutron generating target is at the center of the chamber and is biased negatively with respect to the extraction electrode which contains many holes. Ions passing through the holes in the extraction electrode are focused onto the target which produces neutrons by D-D or D-T reactions.

Leung, Ka-Ngo

2006-11-21T23:59:59.000Z

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

Thermoacoustic magnetohydrodynamic electrical generator  

DOE Patents [OSTI]

A thermoacoustic magnetohydrodynamic electrical generator includes an intrinsically irreversible thermoacoustic heat engine coupled to a magnetohydrodynamic electrical generator. The heat engine includes an electrically conductive liquid metal as the working fluid and includes two heat exchange and thermoacoustic structure assemblies which drive the liquid in a push-pull arrangement to cause the liquid metal to oscillate at a resonant acoustic frequency on the order of 1000 Hz. The engine is positioned in the field of a magnet and is oriented such that the liquid metal oscillates in a direction orthogonal to the field of the magnet, whereby an alternating electrical potential is generated in the liquid metal. Low-loss, low-inductance electrical conductors electrically connected to opposite sides of the liquid metal conduct an output signal to a transformer adapted to convert the low-voltage, high-current output signal to a more usable higher voltage, lower current signal.

Wheatley, J.C.; Swift, G.W.; Migliori, A.

1984-11-16T23:59:59.000Z

462

Hyperbolic Graph Generator  

E-Print Network [OSTI]

Networks representing many complex systems in nature and society share some common structural properties like heterogeneous degree distributions and strong clustering. Recent research on network geometry has shown that those real networks can be adequately modeled as random geometric graphs in hyperbolic spaces. In this paper, we present a computer program to generate such graphs. Besides real-world-like networks, the program can generate random graphs from other well-known graph ensembles, such as the soft configuration model, random geometric graphs on a circle, or Erd\\H{o}s-R\\'enyi random graphs. The simulations show a good match between the expected values of different network structural properties and the corresponding empirical values measured in generated graphs, confirming the accurate behavior of the program.

Aldecoa, Rodrigo; Krioukov, Dmitri

2015-01-01T23:59:59.000Z

463

Thermoacoustic magnetohydrodynamic electrical generator  

DOE Patents [OSTI]

A thermoacoustic magnetohydrodynamic electrical generator includes an intrinsically irreversible thermoacoustic heat engine coupled to a magnetohydrodynamic electrical generator. The heat engine includes an electrically conductive liquid metal as the working fluid and includes two heat exchange and thermoacoustic structure assemblies which drive the liquid in a push-pull arrangement to cause the liquid metal to oscillate at a resonant acoustic frequency on the order of 1,000 Hz. The engine is positioned in the field of a magnet and is oriented such that the liquid metal oscillates in a direction orthogonal to the field of the magnet, whereby an alternating electrical potential is generated in the liquid metal. Low-loss, low-inductance electrical conductors electrically connected to opposite sides of the liquid metal conduct an output signal to a transformer adapted to convert the low-voltage, high-current output signal to a more usable higher voltage, lower current signal.

Wheatley, John C. (Los Alamos, NM); Swift, Gregory W. (Los Alamos, NM); Migliori, Albert (Santa Fe, NM)

1986-01-01T23:59:59.000Z

464

Integration of a sludge deposition model into the ATHOS3 computer program and application to a sample U-tube steam generator  

SciTech Connect (OSTI)

This study pursues a approach to sludge deposition prediction, similar to that published by Keefer, et al.. Starting with the same basic model as Beal and Chen, Keefer, et al. made several simplifying assumptions so that a closed form solution to the equations describing deposition and reentrainment could be obtained. Using a similar approach, this study shows how the physics of the sludge model can be integrated directly into a steady-state thermal-hydraulic analysis computer program such as ATHOS3 to provide an estimate of the relative amounts of sludge expected to accumulate in various regions of a steam generator. This allows sludge deposition and reentrainment rates (i.e. rate coefficients) to be calculated at every node used to model the steam generator (which can be many thousands), so that sludge deposition patterns can readily be examined along with thermal-hydraulic parameters.

Keeton, L.W.; Keefer, R.H.; Clark, P.R.

1993-11-01T23:59:59.000Z

465

Prediction of interest rate using CKLS model with stochastic parameters  

SciTech Connect (OSTI)

The Chan, Karolyi, Longstaff and Sanders (CKLS) model is a popular one-factor model for describing the spot interest rates. In this paper, the four parameters in the CKLS model are regarded as stochastic. The parameter vector ?{sup (j)} of four parameters at the (J+n)-th time point is estimated by the j-th window which is defined as the set consisting of the observed interest rates at the j?-th time point where j?j??j+n. To model the variation of ?{sup (j)}, we assume that ?{sup (j)} depends on ?{sup (j?m)}, ?{sup (j?m+1)},…, ?{sup (j?1)} and the interest rate r{sub j+n} at the (j+n)-th time point via a four-dimensional conditional distribution which is derived from a [4(m+1)+1]-dimensional power-normal distribution. Treating the (j+n)-th time point as the present time point, we find a prediction interval for the future value r{sub j+n+1} of the interest rate at the next time point when the value r{sub j+n} of the interest rate is given. From the above four-dimensional conditional distribution, we also find a prediction interval for the future interest rate r{sub j+n+d} at the next d-th (d?2) time point. The prediction intervals based on the CKLS model with stochastic parameters are found to have better ability of covering the observed future interest rates when compared with those based on the model with fixed parameters.

Ying, Khor Chia [Faculty of Computing and Informatics, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor (Malaysia); Hin, Pooi Ah [Sunway University Business School, No. 5, Jalan Universiti, Bandar Sunway, 47500 Subang Jaya, Selangor (Malaysia)

2014-06-19T23:59:59.000Z

466

External split field generator  

DOE Patents [OSTI]

A generator includes a coil disposed about a core. A first stationary magnetic field source may be disposed on a first end portion of the core and a second stationary magnetic field source may be disposed on a second end portion of core. The first and second stationary magnetic field sources apply a stationary magnetic field to the coil. An external magnetic field source may be disposed outside the coil to apply a moving magnetic field to the coil. Electrical energy is generated in response to an interaction between the coil, the moving magnetic field, and the stationary magnetic field.

Thundat, Thomas George (Knoxville, TN); Van Neste, Charles W. (Kingston, TN); Vass, Arpad Alexander (Oak Ridge, TN)

2012-02-21T23:59:59.000Z

467

Neutron Transmission and Capture Measurements and Resonance Parameter Analysis of Neodymium from 1 to 500 eV  

E-Print Network [OSTI]

. The resonance parameters for all naturally occurring neodymium isotopes were deduced within the energy range tantalum target where electrons interact and pro- duce bremsstrahlung radiation, which in turn generates

Danon, Yaron

468

Two-Parameter Dynamics and Geometry  

E-Print Network [OSTI]

In this paper we present the two-parameter dynamics which is implied by the law of inertia in flat spacetime. A remarkable perception is that (A)dS4 geometry may emerge from the two-parameter dynamics, which exhibits some phenomenon of dynamics/ geometry correspondence. We also discuss the Unruh effects within the context of two-parameter dynamics. In the last section we construct various invariant actions with respect to the broken symmetry groups.

Zhi Hu; Mulin Yan; Sen Hu

2015-01-10T23:59:59.000Z

469

Options for Generating Steam Efficiently  

E-Print Network [OSTI]

This paper describes how plant engineers can efficiently generate steam when there are steam generators and Heat Recovery Steam Generators in their plant. The process consists of understanding the performance characteristics of the various equipment...

Ganapathy, V.

470

The Generation Effect and Memory  

E-Print Network [OSTI]

M. A. (2007). The generation effect: A meta- analyticBjork, R. A. (1988). The generation effect: Support for aE. J. (2012). The next generation: The value of reminding.

Rosner, Zachary Alexander

2012-01-01T23:59:59.000Z

471

Compartment modeling of dynamic brain PET—The impact of scatter corrections on parameter errors  

SciTech Connect (OSTI)

Purpose: The aim of this study was to investigate the effect of scatter and its correction on kinetic parameters in dynamic brain positron emission tomography (PET) tumor imaging. The 2-tissue compartment model was used, and two different reconstruction methods and two scatter correction (SC) schemes were investigated. Methods: The GATE Monte Carlo (MC) software was used to perform 2 × 15 full PET scan simulations of a voxelized head phantom with inserted tumor regions. The two sets of kinetic parameters of all tissues were chosen to represent the 2-tissue compartment model for the tracer 3?-deoxy-3?-({sup 18}F)fluorothymidine (FLT), and were denoted FLT{sub 1} and FLT{sub 2}. PET data were reconstructed with both 3D filtered back-projection with reprojection (3DRP) and 3D ordered-subset expectation maximization (OSEM). Images including true coincidences with attenuation correction (AC) and true+scattered coincidences with AC and with and without one of two applied SC schemes were reconstructed. Kinetic parameters were estimated by weighted nonlinear least squares fitting of image derived time–activity curves. Calculated parameters were compared to the true input to the MC simulations. Results: The relative parameter biases for scatter-eliminated data were 15%, 16%, 4%, 30%, 9%, and 7% (FLT{sub 1}) and 13%, 6%, 1%, 46%, 12%, and 8% (FLT{sub 2}) for K{sub 1}, k{sub 2}, k{sub 3}, k{sub 4}, V{sub a}, and K{sub i}, respectively. As expected, SC was essential for most parameters since omitting it increased biases by 10 percentage points on average. SC was not found necessary for the estimation of K{sub i} and k{sub 3}, however. There was no significant difference in parameter biases between the two investigated SC schemes or from parameter biases from scatter-eliminated PET data. Furthermore, neither 3DRP nor OSEM yielded the smallest parameter biases consistently although there was a slight favor for 3DRP which produced less biased k{sub 3} and K{sub i} estimates while OSEM resulted in a less biased V{sub a}. The uncertainty in OSEM parameters was about 26% (FLT{sub 1}) and 12% (FLT{sub 2}) larger than for 3DRP although identical postfilters were applied. Conclusions: SC was important for good parameter estimations. Both investigated SC schemes performed equally well on average and properly corrected for the scattered radiation, without introducing further bias. Furthermore, 3DRP was slightly favorable over OSEM in terms of kinetic parameter biases and SDs.

Häggström, Ida, E-mail: ida.haggstrom@radfys.umu.se; Karlsson, Mikael; Larsson, Anne [Department of Radiation Sciences, Umeå University, Umeå 90187 (Sweden); Schmidtlein, C. Ross [Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York 10065 (United States)

2014-11-01T23:59:59.000Z

472

A programme for electron-impact broadening parameter calculations of ionized rare-earth element lines  

E-Print Network [OSTI]

In order to provide atomic data needed for astrophysical investigations, a set of electron-impact broadening parameters for ionized rare-earth element lines should be calculated. We are going to calculate the electron-impact broadening parameters for more than 50 transitions of ionized rare-earth elements. Taking into account that the spectra of these elements are very complex, for calculation we can use the modified semiempirical approach - MSE or simplified MSE. Also, we can estimate these parameters on the basis of regularities and systematic trends.

L. C. Popovic; M. S. Dimitrijevic

1998-05-15T23:59:59.000Z

473

Code Generation on Steroids: Enhancing COTS Code Generators via Generative Aspects  

E-Print Network [OSTI]

Code Generation on Steroids: Enhancing COTS Code Generators via Generative Aspects Cody Henthorne tilevich@cs.vt.edu Abstract Commercial of-the-shelf (COTS) code generators have become an integral part of modern commercial software development. Programmers use code generators to facilitate many tedious

Ryder, Barbara G.

474

Sensitivity of Surface Flux Simulations to Hydrologic Parameters Based on an Uncertainty Quantification Framework Applied to the Community Land Model  

SciTech Connect (OSTI)

Uncertainties in hydrologic parameters could have significant impacts on the simulated water and energy fluxes and land surface states, which will in turn affect atmospheric processes and the carbon cycle. Quantifying such uncertainties is an important step toward better understanding and quantification of uncertainty of integrated earth system models. In this paper, we introduce an uncertainty quantification (UQ) framework to analyze sensitivity of simulated surface fluxes to selected hydrologic parameters in the Community Land Model (CLM4) through forward modeling. Thirteen flux tower footprints spanning a wide range of climate and site conditions were selected to perform sensitivity analyses by perturbing the parameters identified. In the UQ framework, prior information about the parameters was used to quantify the input uncertainty using the Minimum-Relative-Entropy approach. The quasi-Monte Carlo approach was applied to generate samples of parameters on the basis of the prior pdfs. Simulations corresponding to sampled parameter sets were used to generate response curves and response surfaces and statistical tests were used to rank the significance of the parameters for output responses including latent (LH) and sensible heat (SH) fluxes. Overall, the CLM4 simulated LH and SH show the largest sensitivity to subsurface runoff generation parameters. However, study sites with deep root vegetation are also affected by surface runoff parameters, while sites with shallow root zones are also sensitive to the vadose zone soil water parameters. Generally, sites with finer soil texture and shallower rooting systems tend to have larger sensitivity of outputs to the parameters. Our results suggest the necessity of and possible ways for parameter inversion/calibration using available measurements of latent/sensible heat fluxes to obtain the optimal parameter set for CLM4. This study also provided guidance on reduction of parameter set dimensionality and parameter calibration framework design for CLM4 and other land surface models under different hydrologic and climatic regimes.

Hou, Zhangshuan; Huang, Maoyi; Leung, Lai-Yung R.; Lin, Guang; Ricciuto, Daniel M.

2012-08-10T23:59:59.000Z

475

Harmonic generation of gravitational wave induced Alfven waves  

E-Print Network [OSTI]

Here we consider the nonlinear evolution of Alfven waves that have been excited by gravitational waves from merging binary pulsars. We derive a wave equation for strongly nonlinear and dispersive Alfven waves. Due to the weak dispersion of the Alfven waves, significant wave steepening can occur, which in turn implies strong harmonic generation. We find that the harmonic generation is saturated due to dispersive effects, and use this to estimate the resulting spectrum. Finally we discuss the possibility of observing the above process.

Mats Forsberg; Gert Brodin

2007-11-26T23:59:59.000Z

476

Adjustable Robust Parameter Design with Unknown Distributions  

E-Print Network [OSTI]

Mar 27, 2013 ... Adjustable Robust Parameter Design with Unknown Distributions. ihsan Yanikoglu(i.yanikoglu ***at*** uvt.nl) Dick den Hertog(d.denhertog ...

ihsan Yanikoglu

2013-03-27T23:59:59.000Z

477

ONE-PARAMETER CONTINUOUS FIELDS OF KIRCHBERG ...  

E-Print Network [OSTI]

One-parameter separable unital continuous fields of Kirchberg algebras (nuclear purely infinite simple C*-algebras) with torsion free Ki-groups and trivial ...

2008-09-05T23:59:59.000Z

478

Sandia National Laboratories: main parameter determining laminate...  

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

parameter determining laminate fatigue lifetime is the cumulative time under load New Material Tests Show Biaxial Laminate Creep Is Important for Large Wind-Turbine Blades On...

479

Multiple phase estimation for arbitrary pure states under white noise  

E-Print Network [OSTI]

In any realistic quantum metrology scenarios, the ultimate precision in the estimation of parameters is limited not only by the so-called Heisenberg scaling, but also the environmental noise encountered by the underlying system. In the context of quantum estimation theory, it is of great significance to carefully evaluate the impact of a specific type of noise on the corresponding quantum Fisher information (QFI) or quantum Fisher information matrix (QFIM). Here we investigate the multiple phase estimation problem for a natural parametrization of arbitrary pure states under white noise. We obtain the explicit expression of the symmetric logarithmic derivative (SLD) and hence the analytical formula of QFIM. Moreover, the attainability of the quantum Cram\\'{e}r-Rao bound (QCRB) is confirmed by the commutability of SLDs and the optimal estimators are elucidated for the experimental purpose. These findings generalize previously known partial results and highlight the role of white noise in quantum metrology.

Yao Yao; Li Ge; Xing Xiao; Xiaoguang Wang; C. P. Sun

2014-09-08T23:59:59.000Z

480

New wave generation  

E-Print Network [OSTI]

We present the results of a combined experimental and numerical study of the generation of internal waves using the novel internal wave generator design of Gostiaux et al. (2007). This mechanism, which involves a tunable source comprised of oscillating plates, has so far been used for a few fundamental studies of internal waves, but its full potential has yet to be realized. Our studies reveal that this approach is capable of producing a wide variety of two-dimensional wave fields, including plane waves, wave beams and discrete vertical modes in finite-depth stratifications. The effects of discretization by a finite number of plates, forcing amplitude and angle of propagation are investigated, and it is found that the method is remarkably efficient at generating a complete wave field despite forcing only one velocity component in a controllable manner. We furthermore find that the nature of the radiated wave field is well predicted using Fourier transforms of the spatial structure of the wave generator.

Mercier, Matthieu J; Mathur, Manikandan; Gostiaux, Louis; Peacock, Thomas; Dauxois, Thierry

2015-01-01T23:59:59.000Z

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.


481

Iridium 191-M generator  

DOE Patents [OSTI]

Potassium osmate, of the formula K.sub.2 Os O.sub.2 (OH).sub.4), used to make a column for the generation of Ir-191 m, which is used in first pass angiography to detect cardiac defects in patients.

Treves, Salvador (Newton, MA); Cheng, Chris C. (Brookline, MA)

1988-03-08T23:59:59.000Z

482

Energy generation in stars  

E-Print Network [OSTI]

It is a current opinion that thermonuclear fusion is the main source of the star activity. It is shown below that this source is not unique. There is another electrostatic mechanism of the energy generation which accompanies thermonuclear fusion. Probably, this approach can solve the solar neutrino problem.

B. V. Vasiliev

2001-10-29T23:59:59.000Z

483

Fuel cell generator  

DOE Patents [OSTI]

High temperature solid oxide electrolyte fuel cell generators which allow controlled leakage among plural chambers in a sealed housing. Depleted oxidant and fuel are directly reacted in one chamber to combust remaining fuel and preheat incoming reactants. The cells are preferably electrically arranged in a series-parallel configuration.

Isenberg, Arnold O. (Forest Hills, PA)

1983-01-01T23:59:59.000Z

484

Nuclear Power Generating Facilities (Maine)  

Broader source: Energy.gov [DOE]

The first subchapter of the statute concerning Nuclear Power Generating Facilities provides for direct citizen participation in the decision to construct any nuclear power generating facility in...

485

Next-Generation Photovoltaic Technologies  

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

Next-Generation Photovoltaic Technologies Next-Generation Photovoltaic Technologies Print Monday, 06 February 2012 15:48 Organic solar cells based on the polymerfullerene bulk...

486

Arnold Schwarzenegger DISTRIBUTED GENERATION DRIVETRAIN  

E-Print Network [OSTI]

Arnold Schwarzenegger Governor DISTRIBUTED GENERATION DRIVETRAIN FOR WINDPOWER APPLICATION Prepared GENERATION DRIVETRAIN FOR WINDPOWER APPLICATION EISG AWARDEE Dehlsen Associates, LLC 7985 Armas Canyon Road

487

Investigation of lane occupancy as a freeway control parameter for use during incident conditions  

E-Print Network [OSTI]

freeway safety warning device, using critical occupancy parameters, was developed and simulated in real-time. Evaluation of the simulated operation of the device revealed. that relia'cle detection of shock waves generated by freeway incidents... Detection of Shock Waves Page 38 Sensitivity of Occupancy Measurements 38 Occupancy Differential Concept Determination of' Occupancy D"' fzerence Parameters Det, ection of Shock Waves 41 RESULTS Critical Occupancy Concept Determination of Critical...

Friebele, John Duncan

1972-01-01T23:59:59.000Z

488

Refined Error Estimates for the Riccati Equation with Applications to the Angular Teukolsky Equation  

E-Print Network [OSTI]

We derive refined rigorous error estimates for approximate solutions of Sturm-Liouville and Riccati equations with real or complex potentials. The approximate solutions include WKB approximations, Airy and parabolic cylinder functions, and certain Bessel functions. Our estimates are applied to solutions of the angular Teukolsky equation with a complex aspherical parameter in a rotating black hole Kerr geometry.

Felix Finster; Joel Smoller

2015-02-17T23:59:59.000Z

489

OnLine IPA Gradient Estimators in Stochastic Continuous Fluid Models  

E-Print Network [OSTI]

On­Line IPA Gradient Estimators in Stochastic Continuous Fluid Models Yorai Wardi # School Perturbation Analysis (IPA) to loss­related and workload­ related metrics in a class of Stochastic Flow Models parameters of interest, such as bu#er size, service rate and inflow rate. The IPA estimators derived

490

Data Collection and Normalization for the Development of Cost Estimating Relationships  

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

Cost estimating relationships or parametric equations are mathematical statements that indicate that the cost is proportional to a physical commodity. Parametric estimating requires that the statistical analysis be performed on data points to correlate the cost drivers and other system parameters. This chapter discusses considerations for data collection and normalization.

1997-03-28T23:59:59.000Z

491

Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters  

SciTech Connect (OSTI)

Mass transfer affects contaminant transport and is thought to control the efficiency of aquifer remediation at a number of sites within the Department of Energy (DOE) complex. An improved understanding of mass transfer is critical to meeting the enormous scientific and engineering challenges currently facing DOE. Informed design of site remedies and long-term stewardship of radionuclide-contaminated sites will require new cost-effective laboratory and field techniques to measure the parameters controlling mass transfer spatially and across a range of scales. In this project, we sought to capitalize on the geophysical signatures of mass transfer. Previous numerical modeling and pilot-scale field experiments suggested that mass transfer produces a geoelectrical signature—a hysteretic relation between sampled (mobile-domain) fluid conductivity and bulk (mobile + immobile) conductivity—over a range of scales relevant to aquifer remediation. In this work, we investigated the geoelectrical signature of mass transfer during tracer transport in a series of controlled experiments to determine the operation of controlling parameters, and also investigated the use of complex-resistivity (CR) as a means of quantifying mass transfer parameters in situ without tracer experiments. In an add-on component to our grant, we additionally considered nuclear magnetic resonance (NMR) to help parse mobile from immobile porosities. Including the NMR component, our revised study objectives were to: 1. Develop and demonstrate geophysical approaches to measure mass-transfer parameters spatially and over a range of scales, including the combination of electrical resistivity monitoring, tracer tests, complex resistivity, nuclear magnetic resonance, and materials characterization; and 2. Provide mass-transfer estimates for improved understanding of contaminant fate and transport at DOE sites, such as uranium transport at the Hanford 300 Area. To achieve our objectives, we implemented a 3-part research plan involving (1) development of computer codes and techniques to estimate mass-transfer parameters from time-lapse electrical data; (2) bench-scale experiments on synthetic materials and materials from cores from the Hanford 300 Area; and (3) field demonstration experiments at the DOE’s Hanford 300 Area. In a synergistic add-on to our workplan, we analyzed data from field experiments performed at the DOE Naturita Site under a separate DOE SBR grant, on which PI Day-Lewis served as co-PI. Techniques developed for application to Hanford datasets also were applied to data from Naturita.

Day-Lewis, Frederick David [U.S. Geological Survey; Singha, Kamini [Colorado School of Mines; Johnson, Timothy C. [Pacific Northwest National Laboratory; Haggerty, Roy [Oregon State; Binley, Andrew [Lancaster University; Lane, John W. [US Geological Survey

2014-11-25T23:59:59.000Z

492

Geoelectrical Measurement of Multi-Scale Mass Transfer Parameters  

SciTech Connect (OSTI)

Mass transfer affects contaminant transport and is thought to control the efficiency of aquifer remediation at a number of sites within the Department of Energy (DOE) complex. An improved understanding of mass transfer is critical to meeting the enormous scientific and engineering challenges currently facing DOE. Informed design of site remedies and long-term stewardship of radionuclide-contaminated sites will require new cost-effective laboratory and field techniques to measure the parameters controlling mass transfer spatially and across a range of scales. In this project, we sought to capitalize on the geophysical signatures of mass transfer. Previous numerical modeling and pilot-scale field experiments suggested that mass transfer produces a geoelectrical signature—a hysteretic relation between sampled (mobile-domain) fluid conductivity and bulk (mobile + immobile) conductivity—over a range of scales relevant to aquifer remediation. In this work, we investigated the geoelectrical signature of mass transfer during tracer transport in a series of controlled experiments to determine the operation of controlling parameters, and also investigated the use of complex-resistivity (CR) as a means of quantifying mass transfer parameters in situ without tracer experiments. In an add-on component to our grant, we additionally considered nuclear magnetic resonance (NMR) to help parse mobile from immobile porosities. Including the NMR component, our revised study objectives were to: 1. Develop and demonstrate geophysical approaches to measure mass-transfer parameters spatially and over a range of scales, including the combination of electrical resistivity monitoring, tracer tests, complex resistivity, nuclear magnetic resonance, and materials characterization; and 2. Provide mass-transfer estimates for improved understanding of contaminant fate and transport at DOE sites, such as uranium transport at the Hanford 300 Area. To achieve our objectives, we implemented a 3-part research plan involving (1) development of computer codes and techniques to estimate mass-transfer parameters from time-lapse electrical data; (2) bench-scale experiments on synthetic materials and materials from cores from the Hanford 300 Area; and (3) field demonstration experiments at the DOE’s Hanford 300 Area. In a synergistic add-on to our workplan, we analyzed data from field experiments performed at the DOE Naturita Site under a separate DOE SBR grant, on which PI Day-Lewis served as co-PI. Techniques developed for application to Hanford datasets also were applied to data from Naturita. 1. Introduction The Department of Energy (DOE) faces enormous scientific and engineering challenges associated with the remediation of legacy contamination at former nuclear weapons production facilities. Selection, design and optimization of appropriate site remedies (e.g., pump-and-treat, biostimulation, or monitored natural attenuation) requires reliable predictive models of radionuclide fate and transport; however, our current modeling capabilities are limited by an incomplete understanding of multi-scale mass transfer—its rates, scales, and the heterogeneity of controlling parameters. At many DOE sites, long “tailing” behavior, concentration rebound, and slower-than-expected cleanup are observed; these observations are all consistent with multi-scale mass transfer [Haggerty and Gorelick, 1995; Haggerty et al., 2000; 2004], which renders pump-and-treat remediation and biotransformation inefficient and slow [Haggerty and Gorelick, 1994; Harvey et al., 1994; Wilson, 1997]. Despite the importance of mass transfer, there are significant uncertainties associated with controlling parameters, and the prevalence of mass transfer remains a point of debate [e.g., Hill et al., 2006; Molz et al., 2006] for lack of experimental methods to verify and measure it in situ or independently of tracer breakthrough. There is a critical need for new field-experimental techniques to measure mass transfer in-situ and estimate multi-scale and spatially variable mass-transfer parame

Day-Lewis, Frederick; Singha, Kamini; Haggerty, Roy; Johnson, Tim; Binley, Andrew; Lane, John

2014-01-16T23:59:59.000Z

493

Microwave backgropund anisotropies, large-scale structure and cosmological parameters  

E-Print Network [OSTI]

We review how the various large-scale data constrain cosmological parameters and, consequently, theories for the origin of large-scale structure in the Universe. We discuss the form of the power spectrum implied by the correlation data of galaxies and argue by comparing the velocity field implied by the distribution of light with the observed velocity flows that the bias parameter, $b$, is likely to be constant in the linear regime. This then allows one to estimate the density parameter, $\\Omega$, and $b$ directly from the \\underline{data} on $\\xi(r)$ and the velocity fields. We show that it is consistent with low values of $\\Omega^{0.6}/b$. We discuss the ways to normalise the optical data at $z\\sim0$ directly to the COBE (or other microwave background) data. The data on high-$z$ \\underline{galaxies} allows one to further constrain the shape of the \\underline{primordial} power spectrum at scales which are non-linear today ($< 8h^{-1}$Mpc) and we discuss the consistency of the data with inflationary models normalised to the large-scale structure observations.

A. Kashlinsky

1993-11-18T23:59:59.000Z

494

POINTWISE ESTIMATES AND MONOTONICITY FORMULAS  

E-Print Network [OSTI]

POINTWISE ESTIMATES AND MONOTONICITY FORMULAS WITHOUT MAXIMUM PRINCIPLE MARCELO MONTENEGRO;2 MARCELO MONTENEGRO AND ENRICO VALDINOCI In this paper, a central role will be played by the following

495

Next Generation Geothermal Power Plants  

SciTech Connect (OSTI)

A number of current and prospective power plant concepts were investigated to evaluate their potential to serve as the basis of the next generation geothermal power plant (NGGPP). The NGGPP has been envisaged as a power plant that would be more cost competitive (than current geothermal power plants) with fossil fuel power plants, would efficiently use resources and mitigate the risk of reservoir under-performance, and minimize or eliminate emission of pollutants and consumption of surface and ground water. Power plant concepts were analyzed using resource characteristics at ten different geothermal sites located in the western United States. Concepts were developed into viable power plant processes, capital costs were estimated and levelized busbar costs determined. Thus, the study results should be considered as useful indicators of the commercial viability of the various power plants concepts that were investigated. Broadly, the different power plant concepts that were analyzed in this study fall into the following categories: commercial binary and flash plants, advanced binary plants, advanced flash plants, flash/binary hybrid plants, and fossil/geothed hybrid plants. Commercial binary plants were evaluated using commercial isobutane as a working fluid; both air-cooling and water-cooling were considered. Advanced binary concepts included cycles using synchronous turbine-generators, cycles with metastable expansion, and cycles utilizing mixtures as working fluids. Dual flash steam plants were used as the model for the commercial flash cycle. The following advanced flash concepts were examined: dual flash with rotary separator turbine, dual flash with steam reheater, dual flash with hot water turbine, and subatmospheric flash. Both dual flash and binary cycles were combined with other cycles to develop a number of hybrid cycles: dual flash binary bottoming cycle, dual flash backpressure turbine binary cycle, dual flash gas turbine cycle, and binary gas turbine cycle. Results of this study indicate that dual flash type plants are preferred at resources with temperatures above 400 F. Closed loop (binary type) plants are preferred at resources with temperatures below 400 F. A rotary separator turbine upstream of a dual flash plant can be beneficial at Salton Sea, the hottest resource, or at high temperature resources where there is a significant variance in wellhead pressures from well to well. Full scale demonstration is required to verify cost and performance. Hot water turbines that recover energy from the spent brine in a dual flash cycle improve that cycle's brine efficiency. Prototype field tests of this technology have established its technical feasibility. If natural gas prices remain low, a combustion turbine/binary hybrid is an economic option for the lowest temperature sites. The use of mixed fluids appear to be an attractive low risk option. The synchronous turbine option as prepared by Barber-Nichols is attractive but requires a pilot test to prove cost and performance. Dual flash binary bottoming cycles appear promising provided that scaling of the brine/working fluid exchangers is controllable. Metastable expansion, reheater, Subatmospheric flash, dual flash backpressure turbine, and hot dry rock concepts do not seem to offer any cost advantage over the baseline technologies. If implemented, the next generation geothermal power plant concept may improve brine utilization but is unlikely to reduce the cost of power generation by much more than 10%. Colder resources will benefit more from the development of a next generation geothermal power plant than will hotter resources. All values presented in this study for plant cost and for busbar cost of power are relative numbers intended to allow an objective and meaningful comparison of technologies. The goal of this study is to assess various technologies on an common basis and, secondarily, to give an approximate idea of the current costs of the technologies at actual resource sites. Absolute costs at a given site will be determined by the specifics of a given pr

Brugman, John; Hattar, Mai; Nichols, Kenneth; Esaki, Yuri

1995-09-01T23:59:59.000Z

496

A Time{Dependent Born{Oppenheimer Approximation with Exponentially Small Error Estimates  

E-Print Network [OSTI]

A Time{Dependent Born{Oppenheimer Approximation with Exponentially Small Error Estimates George A{ Oppenheimer approximation for molecular quantum mechanics. We study molecular systems whose electron masses. The small parameter that governs the approximation is the usual Born{Oppenheimer expansion parameter #15

Joye, Alain

497

A Time--Dependent Born--Oppenheimer Approximation with Exponentially Small Error Estimates  

E-Print Network [OSTI]

A Time--Dependent Born--Oppenheimer Approximation with Exponentially Small Error Estimates George A--dependent Born-- Oppenheimer approximation for molecular quantum mechanics. We study molecular systems whose parameter that governs the approximation is the usual Born--Oppenheimer expansion parameter #, where # 4

Hagedorn, George A.

498

Nonlinear dynamics and chaos in parametric sound generation  

E-Print Network [OSTI]

A theoretical analysis of the subharmonic generation process in an acoustical resonator (interferometer) with plane walls is performed. It is shown that, when both the pumping wave and the generated subharmonic are detuned with respect to the resonator modes, the fields can display complex temporal behaviour such as self-pulsing and chaos. A discussion about the acoustical parameters required for the experimental observation of the phenomenon is given.

Victor J. Sanchez-Morcillo; Victor Espinosa; Javier Redondo; Jesus Alba

2005-02-18T23:59:59.000Z

499

Linear Constrained Moving Horizon Estimator With Pre-Estimating Observer  

E-Print Network [OSTI]

in the literature, e.g. Rao et al. (2001, 2003); Alessandri et al. (2003, 2004). The idea of MHE is to estimate of robustness in the presence of uncertainties such as noise, disturbances and modeling errors, see Alessandri in the literature, e.g. Rao et al. (2001, 2003); Alessandri et al. (2003, 2004). The pre-estimator leads

Johansen, Tor Arne

500

GENERATION AND RANDOM GENERATION: FROM SIMPLE GROUPS TO MAXIMAL SUBGROUPS  

E-Print Network [OSTI]

GENERATION AND RANDOM GENERATION: FROM SIMPLE GROUPS TO MAXIMAL SUBGROUPS TIMOTHY C. BURNESS of generators for G. It is well known that d(G) = 2 for all (non-abelian) finite simple groups. We prove that d investigate the random generation of maximal subgroups of simple and almost simple groups. By applying

Burness, Tim