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Note: This page contains sample records for the topic "depicting model estimates" from the National Library of EnergyBeta (NLEBeta).
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1

Dependence of Warm and Cold Climate Depiction on Climate Model Resolution  

Science Conference Proceedings (OSTI)

Climate model results are now being used to asses the potential societal impact of climate change, and to compare with paleoclimate indicators. The models used for these purposes currently employ relatively coarse resolution, and a key question ...

David Rind

1988-10-01T23:59:59.000Z

2

Comparison of Rainfall Profiles in the West African Monsoon as Depicted by TRMM PR and the LMDZ Climate Model  

Science Conference Proceedings (OSTI)

Vertical rainfall profiles obtained with TRMM-PR 2A25 standard products are compared with rain profiles deduced from the Laboratoire de Météorologie Dynamique second generation global climate model (LMDZ, the Z stands for zoom capability) with ...

Samo Diatta; Frédéric Hourdin; Amadou Thierno Gaye; Nicolas Viltard

2010-05-01T23:59:59.000Z

3

Property:Depiction | Open Energy Information  

Open Energy Info (EERE)

Depiction Depiction Jump to: navigation, search This is a property of type Page. It is equivalent to the well-known foaf:depiction property. Subproperties This property has the following 1 subproperty: C California Independent System Operator Pages using the property "Depiction" Showing 25 pages using this property. (previous 25) (next 25) 1 1366 Technologies + 1366.logo.jpg + 1st Light Energy, Inc. + 1stlightenergy.jpg + 2 2008 Solar Technologies Market Report + Logo doe c.jpg + 21-Century Silicon, Inc. + 21CenturySilicon-logo.png + 3 3Degrees + 3D Logo F CMYK.jpg + 3TIER + 3tier logo.png + 4 4th Day Energy + 4thdayenergy.gif + 5 5 boro biofuel + Mail.jpeg + @ @Ventures (California) + @ventures.gif + @Ventures (Massachusetts) + @ventures.gif + A A Case for Climate Neutrality: Case Studies on Moving Towards a Low Carbon Economy + UNEP.JPG +

4

A Renaissance Depiction of a Tornado  

Science Conference Proceedings (OSTI)

In the Renaissance, impressive weather features inspired considerable interest among artists. The depiction of a tornado and other weather features are discussed that appear on a sixteenth-century series of 12 huge tapestries (“Conquest of Tunis”)...

Klaus P. Hoinka; Manuel de Castro

2005-04-01T23:59:59.000Z

5

Updating MIT's cost estimation model for shipbuilding  

E-Print Network (OSTI)

This thesis project will update the MIT ship cost estimation model by combining the two existing models (the Basic Military Training School (BMTS) Cost Model and the MIT Math Model) in order to develop a program that can ...

Smith, Matthew B., Lieutenant, junior grade

2008-01-01T23:59:59.000Z

6

Improved diagnostic model for estimating wind energy  

DOE Green Energy (OSTI)

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

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

1983-03-01T23:59:59.000Z

7

Broadband ML estimation under model order uncertainty  

Science Conference Proceedings (OSTI)

The number of signals hidden in data plays a crucial role in array processing. When this information is not available, conventional approaches apply information theoretic criteria or multiple hypothesis tests to simultaneously estimate model order and ... Keywords: Broadband signals, Direction of arrival, Maximum likelihood estimation, Overparameterized models, Unknown number of signals

Pei-Jung Chung; Mats Viberg; Christoph F. Mecklenbräuker

2010-05-01T23:59:59.000Z

8

Bandlet Image Estimation with Model Selection  

E-Print Network (OSTI)

A new estimator is introduced to reduce white noise added to images having a geometrical regularity. This estimator projects the observations on orthogonal bandlet vectors selected in a dictionary of orthonormal bases. It is proved that the resulting risk is quasi asymptotically minimax for geometrically regular images. This paper is also a tutorial on estimation with general dictionary of orthogonal bases, through model selection. It explains how to build a thresholding estimator in a adaptively chosen ``best'' basis and gives a simple proof of its performance with the model selection approach of Barron, Birge and Massart

Dossal, Charles; Mallat, Stéphane

2008-01-01T23:59:59.000Z

9

Bayesian curve estimation by model averaging  

Science Conference Proceedings (OSTI)

A Bayesian approach is used to estimate a nonparametric regression model. The main features of the procedure are, first, the functional form of the curve is approximated by a mixture of local polynomials by Bayesian model averaging (BMA), second, the ... Keywords: BIC criterion, Bayesian model averaging, Local polynomial regression, Nonparametric curve fitting, Robustness

Daniel Peña; Dolores Redondas

2006-02-01T23:59:59.000Z

10

Efficient Estimates of a Model of Production and Cost  

E-Print Network (OSTI)

Estimates of a Model of Production and Cost by Quirino ParisEstimates of a Model of Production and Cost Quirino Paris*Estimates of a Model of Production and Cost I. Introduction

Paris, Quirino; Caputo, Michael R.

2004-01-01T23:59:59.000Z

11

A Model for Estimating Persistence Probabilities  

Science Conference Proceedings (OSTI)

A model for estimating the probability that a weather event will persist for at least n hours was developed on 13 years of hourly wind-speed data taken at nine stations in the eastern United States and tested on data at seven stations in the ...

Iver A. Lund; Paul Tsipouras

1982-07-01T23:59:59.000Z

12

A Diagnostic Model for Estimating Winds at Potential Sites for Wind Turbines  

Science Conference Proceedings (OSTI)

Terrain features and variations in the depth of the atmospheric boundary layer produce local variations in wind, and these variations are not depicted well by standard weather reports. We have developed a diagnostic model that computes local ...

R. M. Endlich; F. L. Ludwig; C. M. Bhumralkar; M. A. Estoque

1982-10-01T23:59:59.000Z

13

Adjusting Internal Model Errors through Ocean State Estimation  

Science Conference Proceedings (OSTI)

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

Detlef Stammer

2005-06-01T23:59:59.000Z

14

Retrofit Energy Savings Estimation Model | Open Energy Information  

Open Energy Info (EERE)

Retrofit Energy Savings Estimation Model Retrofit Energy Savings Estimation Model Jump to: navigation, search Tool Summary Name: Retrofit Energy Savings Estimation Model Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings Topics: Resource assessment Resource Type: Software/modeling tools User Interface: Desktop Application Website: btech.lbl.gov/tools/resem/resem.htm Cost: Free Language: English References: Retrofit Energy Savings Estimation Model[1] Logo: Retrofit Energy Savings Estimation Model RESEM, the Retrofit Energy Savings Estimation Model, is a PC-based tool designed to allow Department of Energy (DOE) Institutional Conservation Program (ICP) staff and participants to reliably determine the energy savings directly caused by ICP-supported retrofit measures implemented in a

15

Semiparametrically weighted robust estimation of regression models  

Science Conference Proceedings (OSTI)

A class of two-step robust regression estimators that achieve a high relative efficiency for data from light-tailed, heavy-tailed, and contaminated distributions irrespective of the sample size is proposed and studied. In particular, the least weighted ... Keywords: Adaptive estimation, Asymptotic efficiency, Breakdown point, Least weighted squares

Pavel íek

2011-01-01T23:59:59.000Z

16

Maximum likelihood estimation of Gaussian mixture models using stochastic search  

Science Conference Proceedings (OSTI)

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

Ça?lar Ar?; Selim Aksoy; Orhan Ar?kan

2012-07-01T23:59:59.000Z

17

Arctic Precipitation and Evaporation: Model Results and Observational Estimates  

Science Conference Proceedings (OSTI)

Observational estimates of precipitation and evaporation over the Arctic Ocean and its terrestrial watersheds are compared with corresponding values from the climate model simulations of the Atmospheric Model Intercomparison Project (AMIP). ...

John E. Walsh; Vladimir Kattsov; Diane Portis; Valentin Meleshko

1998-01-01T23:59:59.000Z

18

ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL  

E-Print Network (OSTI)

ESTIMATING CONSUMER BEHAVIOUR IN AN ENERGY-ECONOMY POLICY MODEL by Dale Beugin B.A.Sc., University-economy models; Calibration; Consumer behaviour; Uncertainty; Energy policy Subject Terms: Energy policy Degree: Master of Resource Management Title of Thesis: Estimating Consumer Behaviour in an Energy

19

A Model for Estimating One-Minute Rainfall Rates  

Science Conference Proceedings (OSTI)

A model for estimating one-minute rainfall rates has been developed using stepwise multiple regression analysis. The model is made up of six regression equations to estimate rates that are equalled or exceeded 0.01, 0.05, 0.10, 0.50, 1.0, and 2.0 ...

Paul Tattelman; Kathryn G. Scharr

1983-09-01T23:59:59.000Z

20

Battery Life Estimator Manual Linear Modeling and Simulation  

DOE Green Energy (OSTI)

The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.

Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia

2009-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

Battery Calendar Life Estimator Manual Modeling and Simulation  

SciTech Connect

The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.

Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia

2012-10-01T23:59:59.000Z

22

Evaluation of an Incremental Ventilation Energy Model for Estimating  

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

Evaluation of an Incremental Ventilation Energy Model for Estimating Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation Title Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation Publication Type Report LBNL Report Number LBNL-5796E Year of Publication 2012 Authors Logue, Jennifer M., William J. N. Turner, Iain S. Walker, and Brett C. Singer Date Published 06/2012 Abstract Changing the rate of airflow through a home affects the annual thermal conditioning energy.Large-scale changes to airflow rates of the housing stock can significantly alter the energy consumption of the residential energy sector. However, the complexity of existing residential energy models hampers the ability to estimate the impact of policy changes on a state or nationwide level. The Incremental Ventilation Energy (IVE) model developed in this study was designed to combine the output of simple airflow models and a limited set of home characteristics to estimate the associated change in energy demand of homes. The IVE model was designed specifically to enable modelers to use existing databases of home characteristics to determine the impact of policy on ventilation at a population scale. In this report, we describe the IVE model and demonstrate that its estimates of energy change are comparable to the estimates of a well-validated, complex residential energy model when applied to homes with limited parameterization. Homes with extensive parameterization would be more accurately characterized by complex residential energy models. The demonstration included a range of home types, climates, and ventilation systems that cover a large fraction of the residential housing sector.

23

ONTOCOM: A Cost Estimation Model for Ontology Engineering  

E-Print Network (OSTI)

Abstract: This paper introduces ONTOCOM, a parametric cost estimation model for Semantic Web ontologies. After analyzing established, general-purpose cost estimation methodologies we propose a methodology, which can be applied to develop cost models for ontology engineering. We examine the particularities of this engineering field on the basis of the proposed methodology, in order to identify cost factors which influence the effort invested in ontology building, reuse and maintenance. 1

Elena Paslaru Bontas; Malgorzata Mochol; Freie Universität

2006-01-01T23:59:59.000Z

24

Hybrid Model of Existing Buildings for Transient Thermal Performance Estimation  

E-Print Network (OSTI)

Building level energy models are important to provide accurate prediction of energy consumption for building performance diagnosis and energy efficiency assessment of retrofitting alternatives for building performance upgrading. Simplified but physically meaningful models for existing buildings are preferable for practical applications. In this study, a hybrid building model is developed to describe building system for thermal performance prediction at building level. The model includes two parts. One part is the detailed physical models, which are the CTF models of building envelopes based on the easily available coincident detailed physical properties. The other part is the simplified 2R2C model for building internal mass, whose parameters are estimated and optimized using short-term monitored operation data. A genetic algorithm estimator is developed to optimize these parameters. The parameter optimization of the simplified model and the hybrid building model are validated in a high-rise commercial office building under various weather conditions.

Xu, X.; Wang, S.

2006-01-01T23:59:59.000Z

25

Expert judgement in cost estimating: Modelling the reasoning process  

E-Print Network (OSTI)

Expert Judgement (EJ) is used extensively during the generation of cost estimates. Cost estimators have to make numerous assumptions and judgements about what they think a new product will cost. However, the use of EJ is often frowned upon, not well accepted or understood by non-cost estimators within a concurrent engineering environment. Computerised cost models, in many ways, have reduced the need for EJ but by no means have they, or can they, replace it. The cost estimates produced from both algorithmic and non-algorithmic cost models can be widely inaccurate; and, as the work of this paper highlights, require extensive use of judgement in order to produce a meaningful result. Very little research tackles the issues of capturing and integrating EJ and rationale into the cost estimating process. Therefore, this

Christopher Rush; Rajkumar Roy

2001-01-01T23:59:59.000Z

26

Integrate Experiments and Models to Estimate Exposure - (1) Building  

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

Integrate Experiments and Models to Estimate Exposure - (1) Building Integrate Experiments and Models to Estimate Exposure - (1) Building Fumigation and (2) Elemental Mercury Spill Speaker(s): Wanyu Chan Date: February 22, 2010 - 12:00pm Location: 90-3075 Seminar Host/Point of Contact: Michael Sohn Models that predict exposure concentrations in the indoor and outdoor air can be improved by experiments designed to validate or calibrate the models. This presentation will showcase two examples where experiments and models are integrated to estimate exposure concentrations. One example is the use of methyl bromide as fumigant at food processing facilities. Field studies were conducted at three mill sites that are representative of typical industry practices in terms of size, operation, and fumigation protocol. Concentrations of methyl bromide inside the mills and outdoors

27

Model Reduction and Parameter Estimation in Groundwater Modeling  

E-Print Network (OSTI)

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

Siade, Adam

2012-01-01T23:59:59.000Z

28

Estimating discrete Markov models from various incomplete data schemes  

Science Conference Proceedings (OSTI)

The parameters of a discrete stationary Markov model are transition probabilities between states. Traditionally, data consist in sequences of observed states for a given number of individuals over the whole observation period. In such a case, the estimation ... Keywords: Adaptive MCMC, Bayesian inference, Gaussian copulas, Industrial reliability, Markov models, Missing data

Alberto Pasanisi; Shuai Fu; Nicolas Bousquet

2012-09-01T23:59:59.000Z

29

Probit Model Estimation Revisited: Trinomial Models of Household Car Ownership  

E-Print Network (OSTI)

Household Ownership of Car Davidon, W. C. (1959) VariableStudy Report 9: Models of Car Ownership and License Holding.Trinomial Models of Household Car Ownership. Transportation

Bunch, David S.; Kitamura, Ryuichi

1991-01-01T23:59:59.000Z

30

The Federal Highway Administration Gasohol Consumption Estimation Model  

SciTech Connect

The Federal Highway Administration (FHWA) is responsible for estimating the portion of Federal highway funds attributable to each State. The process involves use of State-reported data (gallons) and a set of estimation models when accurate State data is unavailable. To ensure that the distribution of funds is equitable, FHWA periodically reviews the estimation models. Estimation of the use of gasohol is difficult because of State differences in the definition of gasohol, inability of many States to separate and report gasohol usage from other fuel types, changes in fuel composition in nonattainment areas to address concerns over the use of certain fuel additives, and the lack of a valid State-level surrogate data set for gasohol use. Under the sponsorship of FHWA, Oak Ridge National Laboratory (ORNL) reviewed the regression-based gasohol estimation model that has been in use for several years. Based on an analytical assessment of that model and an extensive review of potential data sets, ORNL developed an improved rule-based model. The new model uses data from Internal Revenue Service, Energy Information Administration, Environmental Protection Agency, Department of Energy, ORNL, and FHWA sources. The model basically consists of three parts: (1) development of a controlled total of national gasohol usage, (2) determination of reliable State gasohol consumption data, and (3) estimation of gasohol usage for all other States. The new model will be employed for the 2004 attribution process. FHWA is currently soliciting comments and inputs from interested parties. Relevant data, as identified, will be pursued and refinements will be made by the research team if warranted.

Hwang, HL

2003-08-28T23:59:59.000Z

31

Observations of Surface Forcing from the Subduction Experiment: A Comparison with Global Model Products and Climatological Datasets  

Science Conference Proceedings (OSTI)

Reliable estimates of the exchange of heat, moisture, and momentum across the air–sea interface are essential in assessing the local “representativeness” of the surface forcing fields depicted by global model and climatological datasets. The ...

K. A. Moyer; R. A. Weller

1997-11-01T23:59:59.000Z

32

Application of CHL model for estimating biomass pyrolysis yield  

Science Conference Proceedings (OSTI)

The pyrolysis of wood biomass represents a valid technique for recovering "green" fuel from residues of forestry and other activities, in agriculture as in industry, where wood and other plant residues are available. Wood biomass is essentially a composite ... Keywords: CHL model, biogas yield, biomass, numerical analysis, pyrolysis, rate estimation

Francesco Marra

2007-12-01T23:59:59.000Z

33

The Lithium-Ion Cell: Model, State Of Charge Estimation  

E-Print Network (OSTI)

The Lithium-Ion Cell: Model, State Of Charge Estimation and Battery Management System Tutor degradation mechanisms of a Li-ion cell based on LiCoO2", Journal of Power Sources #12;Lithium ions and e and Y. Fuentes. Computer simulations of a lithium-ion polymer battery and implications for higher

Schenato, Luca

34

ESTIMATION OF NONLINEAR DCMOTOR MODELS USING A SENSITIVITY APPROACH  

E-Print Network (OSTI)

for a permanent magnet DC­motor, appropriate for simulation and controller design, is developed. The essential of permanent magnet DC­motors are due to coulomb friction and to variable brush contact resistanceESTIMATION OF NONLINEAR DC­MOTOR MODELS USING A SENSITIVITY APPROACH Morten Knudsen and Jørgen Grue

Knudsen, Morten

35

Evaluation of Black Carbon Estimations in Global Aerosol Models  

DOE Green Energy (OSTI)

We evaluate black carbon (BC) model predictions from the AeroCom model intercomparison project by considering the diversity among year 2000 model simulations and comparing model predictions with available measurements. These model-measurement intercomparisons include BC surface and aircraft concentrations, aerosol absorption optical depth (AAOD) from AERONET and OMI retrievals and BC column estimations based on AERONET. In regions other than Asia, most models are biased high compared to surface concentration measurements. However compared with (column) AAOD or BC burden retreivals, the models are generally biased low. The average ratio of model to retrieved AAOD is less than 0.7 in South American and 0.6 in African biomass burning regions; both of these regions lack surface concentration measurements. In Asia the average model to observed ratio is 0.6 for AAOD and 0.5 for BC surface concentrations. Compared with aircraft measurements over the Americas at latitudes between 0 and 50N, the average model is a factor of 10 larger than observed, and most models exceed the measured BC standard deviation in the mid to upper troposphere. At higher latitudes the average model to aircraft BC is 0.6 and underestimate the observed BC loading in the lower and middle troposphere associated with springtime Arctic haze. Low model bias for AAOD but overestimation of surface and upper atmospheric BC concentrations at lower latitudes suggests that most models are underestimating BC absorption and should improve estimates for refractive index, particle size, and optical effects of BC coating. Retrieval uncertainties and/or differences with model diagnostic treatment may also contribute to the model-measurement disparity. Largest AeroCom model diversity occurred in northern Eurasia and the remote Arctic, regions influenced by anthropogenic sources. Changing emissions, aging, removal, or optical properties within a single model generated a smaller change in model predictions than the range represented by the full set of AeroCom models. Upper tropospheric concentrations of BC mass from the aircraft measurements are suggested to provide a unique new benchmark to test scavenging and vertical dispersion of BC in global models.

Koch, D.; Schulz, M.; Kinne, Stefan; McNaughton, C. S.; Spackman, J. R.; Balkanski, Y.; Bauer, S.; Berntsen, T.; Bond, Tami C.; Boucher, Olivier; Chin, M.; Clarke, A. D.; De Luca, N.; Dentener, F.; Diehl, T.; Dubovik, O.; Easter, Richard C.; Fahey, D. W.; Feichter, J.; Fillmore, D.; Freitag, S.; Ghan, Steven J.; Ginoux, P.; Gong, S.; Horowitz, L.; Iversen, T.; Kirkevag, A.; Klimont, Z.; Kondo, Yutaka; Krol, M.; Liu, Xiaohong; Miller, R.; Montanaro, V.; Moteki, N.; Myhre, G.; Penner, J.; Perlwitz, Ja; Pitari, G.; Reddy, S.; Sahu, L.; Sakamoto, H.; Schuster, G.; Schwarz, J. P.; Seland, O.; Stier, P.; Takegawa, Nobuyuki; Takemura, T.; Textor, C.; van Aardenne, John; Zhao, Y.

2009-11-27T23:59:59.000Z

36

Hidden Markov Modeling for Weigh-In-Motion Estimation  

SciTech Connect

This paper describes a hidden Markov model to assist in the weight measurement error that arises from complex vehicle oscillations of a system of discrete masses. Present reduction of oscillations is by a smooth, flat, level approach and constant, slow speed in a straight line. The model uses this inherent variability to assist in determining the true total weight and individual axle weights of a vehicle. The weight distribution dynamics of a generic moving vehicle were simulated. The model estimation converged to within 1% of the true mass for simulated data. The computational demands of this method, while much greater than simple averages, took only seconds to run on a desktop computer.

Abercrombie, Robert K [ORNL; Ferragut, Erik M [ORNL; Boone, Shane [ORNL

2012-01-01T23:59:59.000Z

37

Diffused paradigms: musical depictions of biodegradation, refraction of sound, and memory deterioration in Sorensen's Sterbende Garten.  

E-Print Network (OSTI)

??In Sterbende Gärten (Decaying or Dying Gardens) Bent Sørensen employs specific compositional methods in order to depict biodegradation of plants, refraction of sound, and memory… (more)

Thomas, Brian David

2011-01-01T23:59:59.000Z

38

PART 2. MATHEMATICAL MODELS IN POLLUTION CHAPTER V. MATHEMATICAL MODELS TO ESTIMATE THE ENERGY -  

E-Print Network (OSTI)

methodology to estimate the energy ­ ecologic efficiency of thermopower plants (TPP) Presently, the analysis impact point of view and also of the efficiency of the electrical and/or thermal energy producedPART 2. MATHEMATICAL MODELS IN POLLUTION CHAPTER V. MATHEMATICAL MODELS TO ESTIMATE THE ENERGY

Baica, Malvina

39

Time-to-Compromise Model for Cyber Risk Reduction Estimation  

SciTech Connect

We propose a new model for estimating the time to compromise a system component that is visible to an attacker. The model provides an estimate of the expected value of the time-to-compromise as a function of known and visible vulnerabilities, and attacker skill level. The time-to-compromise random process model is a composite of three subprocesses associated with attacker actions aimed at the exploitation of vulnerabilities. In a case study, the model was used to aid in a risk reduction estimate between a baseline Supervisory Control and Data Acquisition (SCADA) system and the baseline system enhanced through a specific set of control system security remedial actions. For our case study, the total number of system vulnerabilities was reduced by 86% but the dominant attack path was through a component where the number of vulnerabilities was reduced by only 42% and the time-to-compromise of that component was increased by only 13% to 30% depending on attacker skill level.

Miles A. McQueen; Wayne F. Boyer; Mark A. Flynn; George A. Beitel

2005-09-01T23:59:59.000Z

40

Bayesian analysis of inflation: Parameter estimation for single field models  

Science Conference Proceedings (OSTI)

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

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

2011-02-15T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

Bayesian Analysis of Inflation: Parameter Estimation for Single Field Models  

E-Print Network (OSTI)

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

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

2010-07-23T23:59:59.000Z

42

Estimation of landfill emission lifespan using process oriented modeling  

SciTech Connect

Depending on the particular pollutants emitted, landfills may require service activities lasting from hundreds to thousands of years. Flexible tools allowing long-term predictions of emissions are of key importance to determine the nature and expected duration of maintenance and post-closure activities. A highly capable option represents predictions based on models and verified by experiments that are fast, flexible and allow for the comparison of various possible operation scenarios in order to find the most appropriate one. The intention of the presented work was to develop a experimentally verified multi-dimensional predictive model capable of quantifying and estimating processes taking place in landfill sites where coupled process description allows precise time and space resolution. This constitutive 2-dimensional model is based on the macromechanical theory of porous media (TPM) for a saturated thermo-elastic porous body. The model was used to simulate simultaneously occurring processes: organic phase transition, gas emissions, heat transport, and settlement behavior on a long time scale for municipal solid waste deposited in a landfill. The relationships between the properties (composition, pore structure) of a landfill and the conversion and multi-phase transport phenomena inside it were experimentally determined. In this paper, we present both the theoretical background of the model and the results of the simulations at one single point as well as in a vertical landfill cross section.

Ustohalova, Veronika [Institute of Waste Management, University of Duisburg-Essen, Universitaetsstrasse 15, 45141 Essen (Germany)]. E-mail: veronika.ustohalova@uni-essen.de; Ricken, Tim [Institute of Mechanics, University of Duisburg-Essen, Universitaetsstrasse 15, 45141 Essen (Germany); Widmann, Renatus [Institute of Waste Management, University of Duisburg-Essen, Universitaetsstrasse 15, 45141 Essen (Germany)

2006-07-01T23:59:59.000Z

43

Extracting and depicting the 3D shape of specular surfaces  

Science Conference Proceedings (OSTI)

Many materials including water, plastic and metal have specular surface characteristics. Specular reflections have commonly been considered a nuisance for the recovery of object shape. However, the way that reflections are distorted across the surface ... Keywords: 3D shape perception, model of cortical form processing, non-photorealistic rendering

Ulrich Weidenbacher; Pierre Bayerl; Roland Fleming; Heiko Neumann

2005-08-01T23:59:59.000Z

44

The Effect of Resolution on the Depiction of Central Pressure for an Intense Oceanic Extratropical Cyclone  

Science Conference Proceedings (OSTI)

The effect of resolution on the depiction of central sea level pressure for an intense oceanic extratropical cyclone is examined through a one-dimensional Fourier analysis. Profiles of sea level pressure were manually interpolated along the ...

Patricia M. Pauley; Bradley J. Bramer

1992-05-01T23:59:59.000Z

45

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

Science Conference Proceedings (OSTI)

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

Gift Dumedah; Jeffrey P. Walker

46

DOE G 430.1-1 Chp 22, Cost Model and Cost Estimating Software  

Directives, Delegations, and Requirements

This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.

1997-03-28T23:59:59.000Z

47

THE FEDERAL HIGHWAY ADMINISTRATION GASOHOL CONSUMPTION ESTIMATION MODEL  

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

10 10 THE FEDERAL HIGHWAY ADMINISTRATION GASOHOL CONSUMPTION ESTIMATION MODEL August 2003 Ho-Ling Hwang Lorena F. Truett Stacy C. Davis DOCUMENT AVAILABILITY Reports produced after January 1, 1996, are generally available free via the U.S. Department of Energy (DOE) Information Bridge. Web site http://www.osti.gov/bridge Reports produced before January 1, 1996, may be purchased by members of the public from the following source. National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 Telephone 703-605-6000 (1-800-553-6847) TDD 703-487-4639 Fax 703-605-6900 E-mail info@ntis.fedworld.gov Web site http://www.ntis.gov/support/ordernowabout.htm Reports are available to DOE employees, DOE contractors, Energy Technology Data Exchange

48

ARIMA Model Estimated by Particle Swarm Optimization Algorithm for Consumer Price Index Forecasting  

Science Conference Proceedings (OSTI)

This paper presents an ARIMA model which uses particle swarm optimization algorithm (PSO) for model estimation. Because the traditional estimation method is complex and may obtain very bad results, PSO which can be implemented with ease and has a powerful ... Keywords: ARIMA model, Consumer price index, Moment estimation, Particle swarm optimization algorithm

Hongjie Wang; Weigang Zhao

2009-11-01T23:59:59.000Z

49

Distribution System Modeling Based on Dynamic State Estimation.  

E-Print Network (OSTI)

??Distribution automation, demand response and advanced metering infrastructure (AMI) are three important elements of modern smart distribution grid. To achieve it, the real-time state estimate… (more)

Huang, Shih-Che

2013-01-01T23:59:59.000Z

50

Estimates of Cn2 from Numerical Weather Prediction Model Output and Comparison with Thermosonde Data  

Science Conference Proceedings (OSTI)

Area-averaged estimates of Cn2 from high-resolution numerical weather prediction (NWP) model output are produced from local estimates of the spatial structure functions of refractive index with corrections for the inherent smoothing and filtering ...

Rod Frehlich; Robert Sharman; Francois Vandenberghe; Wei Yu; Yubao Liu; Jason Knievel; George Jumper

2010-08-01T23:59:59.000Z

51

Modeling the Distribution of Precipitation Forecasts from the Canadian Ensemble Prediction System Using Kernel Density Estimation  

Science Conference Proceedings (OSTI)

Kernel density estimation is employed to fit smooth probabilistic models to precipitation forecasts of the Canadian ensemble prediction system. An intuitive nonparametric technique, kernel density estimation has become a powerful tool widely used ...

Syd Peel; Laurence J. Wilson

2008-08-01T23:59:59.000Z

52

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

Science Conference Proceedings (OSTI)

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

S. Vasudevan; J. L. Krolik

2001-05-01T23:59:59.000Z

53

Integration of remote sensing and ecosystem modelling techniques to estimate forest net carbon uptake  

Science Conference Proceedings (OSTI)

Estimates of forest gross primary production (GPP) can be obtained using a parametric model (C-Fix) that combines ground and remotely sensed data. A methodology is presented to convert these GPP estimates into values of net ecosystem exchange (NEE). ...

F. Maselli; M. Chiesi; L. Fibbi; M. Moriondo

2008-04-01T23:59:59.000Z

54

Global Precipitation Estimates Based on a Technique for Combining Satellite-Based Estimates, Rain Gauge Analysis, and NWP Model Precipitation Information  

Science Conference Proceedings (OSTI)

The “satellite-gauge-model” (SGM) technique is described for combining precipitation estimates from microwave satellite data, infrared satellite data, rain gauge analyses, and numerical weather prediction models into improved estimates of global ...

George J. Huffman; Robert F. Adler; Bruno Rudolf; Udo Schneider; Peter R. Keehn

1995-05-01T23:59:59.000Z

55

Incorporating Spatial Information into Density Estimates and Street Gang Models  

E-Print Network (OSTI)

Agent-Based Models . . . . . . . . . .of networks in an agent-based model. Physical Review E, 66(and H. J. Herrmann. Agent-based model for friendship in

Smith, Laura

2012-01-01T23:59:59.000Z

56

Parameter estimation for performance models of distributed application systems  

Science Conference Proceedings (OSTI)

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

Jerome Rolia; Vidar Vetland

1995-11-01T23:59:59.000Z

57

A fresh look at cost estimation, process models and risk analysis”, EDSER-1  

E-Print Network (OSTI)

Reliable cost estimation is indispensable for industrial software development. A detailed analysis shows why the existing cost models are unreliable. Cost estimation should integrate software process modelling and risk analysis. A novel approach based on probability theory is proposed. A probabilistic cost model could provide a solid basis for cost-benefit analyses. 1

Frank Padberg

1999-01-01T23:59:59.000Z

58

Los Alamos Waste Management Cost Estimation Model; Final report: Documentation of waste management process, development of Cost Estimation Model, and model reference manual  

Science Conference Proceedings (OSTI)

This final report completes the Los Alamos Waste Management Cost Estimation Project, and includes the documentation of the waste management processes at Los Alamos National Laboratory (LANL) for hazardous, mixed, low-level radioactive solid and transuranic waste, development of the cost estimation model and a user reference manual. The ultimate goal of this effort was to develop an estimate of the life cycle costs for the aforementioned waste types. The Cost Estimation Model is a tool that can be used to calculate the costs of waste management at LANL for the aforementioned waste types, under several different scenarios. Each waste category at LANL is managed in a separate fashion, according to Department of Energy requirements and state and federal regulations. The cost of the waste management process for each waste category has not previously been well documented. In particular, the costs associated with the handling, treatment and storage of the waste have not been well understood. It is anticipated that greater knowledge of these costs will encourage waste generators at the Laboratory to apply waste minimization techniques to current operations. Expected benefits of waste minimization are a reduction in waste volume, decrease in liability and lower waste management costs.

Matysiak, L.M.; Burns, M.L.

1994-03-01T23:59:59.000Z

59

Estimation of system reliability using a semiparametric model  

E-Print Network (OSTI)

An important problem in reliability engineering is to predict the failure rate, that is, the frequency with which an engineered system or component fails. This paper presents a new method of estimating failure rate using ...

Wu, Leon

60

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

Science Conference Proceedings (OSTI)

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

V. Lubenova

2000-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

A Bottom-Up Model to Estimate the Energy Efficiency Improvement...  

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

Efficiency Improvement and CO2 Emission Reduction Potentials in the Chinese Iron and Steel Industry Title A Bottom-Up Model to Estimate the Energy Efficiency Improvement and...

62

Experimental Setup Measurements were made with the experimental configuration depicted in Figure 1. Tissue  

E-Print Network (OSTI)

depicted in Figure 1. Tissue samples were heated in an insulated tank that was filled with deionized water, which had been degassed by vacuum pumping in an appropriate vessel. Tissue was placed with a MetroTek pulser and echoes recorded. The transducer was moved to the next site of interest and a new

Arthur, R. Martin

63

Distributed Estimation in Sensor Networks with Modeling Uncertainty  

E-Print Network (OSTI)

A major issue in distributed wireless sensor networks (WSNs) is the design of efficient distributed algorithms for network-wide dissemination of information acquired by individual sensors, where each sensor, by itself, is unable to access enough data for reliable decision making. Without a centralized fusion center, network-wide reliable inferencing can be accomplished by recovering meaningful global statistics at each sensor through iterative inter-sensor message passing. In this dissertation, we first consider the problem of distributed estimation of an unknown deterministic scalar parameter (the target signal) in a WSN, where each sensor receives a single snapshot of the field. An iterative distributed least-squares (DLS) algorithm is investigated with and without the consideration of node failures. In particular, without sensor node failures it is shown that every instantiation of the DLS algorithm converges, i.e., consensus is reached among the sensors, with the limiting agreement value being the centralized least-squares estimate. With node failures during the iterative exchange process, the convergence of the DLS algorithm is still guaranteed; however, an error exists be- tween the limiting agreement value and the centralized least-squares estimate. In order to reduce this error, a modified DLS scheme, the M-DLS, is provided. The M-DLS algorithm involves an additional weight compensation step, in which a sensor performs a one-time weight compensation procedure whenever it detects the failure of a neighbor. Through analytical arguments and simulations, it is shown that the M-DLS algorithm leads to a smaller error than the DLS algorithm, where the magnitude of the improvement dependents on the network topology. We then investigate the case when the observation or sensing mode is only partially known at the corresponding nodes, perhaps, due to their limited sensing capabilities or other unpredictable physical factors. Specifically, it is assumed that the observation validity at a node switches stochastically between two modes, with mode I corresponding to the desired signal plus noise observation mode (a valid observation), and mode II corresponding to pure noise with no signal information (an invalid observation). With no prior information on the local sensing modes (valid or invalid), we introduce a learning-based distributed estimation procedure, the mixed detection-estimation (MDE) algorithm, based on closed-loop interactions between the iterative distributed mode learning and the target estimation. The online learning (or sensing mode detection) step re-assesses the validity of the local observations at each iteration, thus refining the ongoing estimation update process. The convergence of the MDE algorithm is established analytically, and the asymptotic performance analysis studies shows that, in the high signal-to-noise ratio (SNR) regime, the MDE estimation error converges to that of an ideal (centralized) estimator with perfect information about the node sensing modes. This is in contrast with the estimation performance of a naive average consensus based distributed estimator (with no mode learning), whose estimation error blows up with an increasing SNR.

Zhou, Qing

2013-05-01T23:59:59.000Z

64

Time series of count data: modeling, estimation and diagnostics  

Science Conference Proceedings (OSTI)

Various models for time series of counts which can account for discreteness, overdispersion and serial correlation are compared. Besides observation- and parameter-driven models based upon corresponding conditional Poisson distributions, a dynamic ordered ... Keywords: Efficient importance sampling, Markov chain Monte Carlo, Observation-driven model, Ordered probit, Parameter-driven model

Robert C. Jung; Martin Kukuk; Roman Liesenfeld

2006-12-01T23:59:59.000Z

65

Local vs. global models for effort estimation and defect prediction  

Science Conference Proceedings (OSTI)

Data miners can infer rules showing how to improve either (a) the effort estimates of a project or (b) the defect predictions of a software module. Such studies often exhibit conclusion instability regarding what is the most effective action for different ...

Tim Menzies; Andrew Butcher; Andrian Marcus; Thomas Zimmermann; David Cok

2011-11-01T23:59:59.000Z

66

MODELING OF RESERVOIR TEMPERATURE TRANSIENTS, AND PARAMETER ESTIMATION  

E-Print Network (OSTI)

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

67

A Simple Physical Model to Estimate Incident Solar Radiation at the Surface from GOES Satellite Data  

Science Conference Proceedings (OSTI)

We present a model designed to estimate the incident solar radiation at the suface from GOES satellite brightness measurements in clear and cloudy conditions. In this simple physical model, the effect of Rayleigh scattering is taken into account. ...

Catherine Gautier; Georges Diak; Serge Masse

1980-08-01T23:59:59.000Z

68

An Iterative Regression Model for Estimating Soybean Yields from Environmental Data  

Science Conference Proceedings (OSTI)

A model was developed for using weather data, to estimate the yields of soybeans for varieties adapted to the central United States. The model utilized an iterative regression analysis for relating soybean yields to environmental variables. This ...

Andres C. Ravelo; Wayne L. Decker

1981-11-01T23:59:59.000Z

69

Error Estimates for an Ocean General Circulation Model from Altimeter and Acoustic Tomography Data  

Science Conference Proceedings (OSTI)

An offline approach is proposed for the estimation of model and data error covariance matrices whereby covariance matrices of model data residuals are “matched” to their theoretical expectations using familiar least-squares methods. This ...

Dimitris Menemenlis; Michael Chechelnitsky

2000-03-01T23:59:59.000Z

70

An importance sampling method for portfolio cvar estimation with Gaussian copula models  

Science Conference Proceedings (OSTI)

We developed an importance sampling method to estimate Conditional Value-at-Risk for portfolios in which inter-dependent asset losses are modeled via a Gaussian copula model. Our method constructs an importance sampling distribution by shifting the latent ...

Pu Huang; Dharmashankar Subramanian; Jie Xu

2010-12-01T23:59:59.000Z

71

Dual Estimates of the Optimal Plan Model and Regional Market Costs: A Relationship  

Science Conference Proceedings (OSTI)

The relationship between linear programming dual estimates for the optimal production plan model and real regional market costs is studied. A two-stage linear programming model is necessary for exact approximation of cost allocation in analyzing with ...

Yu. M. Tsodikov; Ya. Yu. Tsodikova

2001-04-01T23:59:59.000Z

72

Semiempirical Model for the Reliability of a Matched Filter Frequency Estimator for Doppler Lidar  

Science Conference Proceedings (OSTI)

The author proposes a heuristic semiempirical model for predicting the reliability of a matched-filter frequency estimator applied to Doppler lidar signals. The model is tuned by a single coefficient ? empirically related to the ratio of the ...

Alain Dabas

1999-01-01T23:59:59.000Z

73

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

74

Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-  

E-Print Network (OSTI)

, and the Office of Electricity Delivery and Energy Reliability, Permitting, Siting and Analysis of the ULBNL-63728 Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non .............................................................................................................. 9 4. Baseline Profile (BLP) Models

75

Sensitivity of Local Daily Temperature Change Estimates to the Selection of Downscaling Models and Predictors  

Science Conference Proceedings (OSTI)

A number of statistical downscaling models are applied to the Canadian Climate Centre general circulation model (CCCM) outputs to provide climate change estimates for local daily surface temperature at a network of 39 stations in central and ...

Radan Huth

2004-02-01T23:59:59.000Z

76

Uncertainties in Isoprene Emissions from a Mixed Deciduous Forest Estimated Using a Canopy Microclimate Model  

Science Conference Proceedings (OSTI)

Utilizing the concepts of localized near-field diffusion, a modeling system was developed to estimate isoprene emissions from foliage of a mixed deciduous forest. The model determined radiation disposition and foliage temperature inside the ...

L. Huber; P. Laville; J. D. Fuentes

1999-07-01T23:59:59.000Z

77

An Assessment of Models which use Satellite Data to Estimate Solar Irradiance at the Earth's Surface  

Science Conference Proceedings (OSTI)

The performances of three models which use satellite data to estimate solar irradiance at the Earth's surface are assessed using measured radiation data from a midlatitude location. Assessment of the models is made possible through the accurate ...

Clifford Raphael; John E. Hay

1984-05-01T23:59:59.000Z

78

Optimal state estimation for improved power measurements and model verification: Theory  

Science Conference Proceedings (OSTI)

To improve energy efficiency in computer systems and data centers, accurate models of the power consumption are needed for analysis and advanced control algorithms. Developing models requires deep understanding not only of the components themselves but ... Keywords: system level model analysis, energy efficiency, optimal state estimation, improved power measurement, computer systems, data centers, power consumption, mathematical methods, sensor fusion, data center powering structure, cooling system, parameter identifying estimator, model parameter

T. Malkamaki; S. J. Ovaska

2011-07-01T23:59:59.000Z

79

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

Science Conference Proceedings (OSTI)

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

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

2013-06-01T23:59:59.000Z

80

Estimation and regularization techniques for regression models with multidimensional prediction functions  

Science Conference Proceedings (OSTI)

Boosting is one of the most important methods for fitting regression models and building prediction rules. A notable feature of boosting is that the technique can be modified such that it includes a built-in mechanism for shrinking coefficient estimates ... Keywords: Count data model, Gradient boosting, Multidimensional prediction function, Scale parameter estimation, Variable selection

Matthias Schmid; Sergej Potapov; Annette Pfahlberg; Torsten Hothorn

2010-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

Spatiotemporal modelling in estimation of nitrous oxide emissions from soil.  

E-Print Network (OSTI)

??Nitrous oxide is a major greenhouse gas emission. The aim of this research was to develop and apply statistical models to characterize the complex spatial… (more)

Huang, Xiaodong

2013-01-01T23:59:59.000Z

82

Model estimates food-versus-biofuel trade-off  

E-Print Network (OSTI)

associ- ated with biofuel production and model the effectspolicymakers blame biofuel production mandates for the foodfood crisis struck as biofuel production, driven largely by

Rajagapol, Deepak; Sexton, Steven; Hochman, Gal; Roland-Holst, David; Zilberman, David D

2009-01-01T23:59:59.000Z

83

Modeling of PM Synchronous Motors for Control and Estimation Tasks  

E-Print Network (OSTI)

magnet synchronous motors in stationary frame. The model is based on linear magnetics and includes that illustrate uses of di erent models are also presented. 1 Introduction Permanent magnet synchronous motors magnet- ics for saturation e ects on motor inductances, see for example 3 ; symmetry of the stator phases

Stankoviæ, Aleksandar

84

A new class of semi-mixed effects models and its application in small area estimation  

Science Conference Proceedings (OSTI)

In multi-level regression, using a fixed effect for each cluster leads to models that are flexible but that have poor estimation accuracy. In small area studies, for example, fixed effects models are typically over-parameterized. Regarding region as ... Keywords: Multilevel models, Panel data analysis, Semi-mixed effects models, Semiparametric regression, Small area statistics

María José Lombardía; Stefan Sperlich

2012-10-01T23:59:59.000Z

85

A Long-Range Transport Model for East Asia to Estimate Sulfur Deposition in Japan  

Science Conference Proceedings (OSTI)

A long-range transport model for East Asia was developed to estimate the sulfur deposition in Japan. The model is a hybrid type that combines a trajectory model for distant sources with a Eulerian model for nearby sources. The processes of ...

Yoichi Ichikawa; Hiroshi Hayami; Shin-ichi Fujita

1998-10-01T23:59:59.000Z

86

An analysis of tomb reliefs depicting boat construction from the Old Kingdom period in Egypt  

E-Print Network (OSTI)

Among the aspects of daily life represented on the walls of private tombs during the Old Kingdom in Egypt are reliefs depicting the construction of boat hulls. Examination of the twenty known reliefs and relief fragments which date to this period provides numerous insights into the technology and methodology of wooden hull construction. These reliefs were created to be blueprints of boat construction procedures but rather to ensure that the owner of the tomb would have boats in his afterlife. The majority of the procedures relate to the final stages of constru ction prior to the hull being launched. The depiction of the tools necessary for hull construction and how they we,-e used is of great relevance. Hull symmetry was checked with the aid of a plumb bob while adzes were kept ready to remove flatspots. The procedure of joining planks edge-to-edge with mortise-and-tencn joints is representcd with great detail in the Ty relief. Joining planks in this manner required a team of men working together while being supervised. Reliefs which show hulls with a rope truss stretching from end to end were used to tighten internal traverse lashed joinery and are not the hogging trusses seen on seagoing ships and cargo vessels. Depictions of various steps required for this procedure in most reliefs suggests thats its employment was pervasive.

Rogers, Edward Morgan

1996-01-01T23:59:59.000Z

87

A Note on the Estimation of the Multinomial Logistic Model with Correlated Responses  

E-Print Network (OSTI)

We show how multinomial logistic models with correlated responses can be estimated within SAS software. To achieve this, random effects and marginal models are introduced and the respective SAS code is given. An example data set on physicians ’ recommendations and preferences in traumatic brain injury rehabilitation is used for illustration. The main motivation for this work are two recent papers that recommend estimating multinomial logistic models with correlated responses by using a Poisson likelihood which is statistically correct but computationally inefficient.

Oliver Kuss; Dale Mclerran

2007-01-01T23:59:59.000Z

88

Computational model design and performance estimation in registration brake control  

Science Conference Proceedings (OSTI)

Electric motorcycles are applicable to both toys and real motorcycles, and also is a reference for constructing larger electrical vehicles. A design computational model of regenerative braking control of electric motorcycles and an experimental identification ...

P. S. Pa; S. C. Chang

2009-06-01T23:59:59.000Z

89

Modeling and torque estimation of an automotive dual mass flywheel  

Science Conference Proceedings (OSTI)

The Dual Mass Flywheel (DMF) is primarily used for dampening of oscillations in automotive powertrains and to prevent gearbox rattling. This paper explains the DMF mechanics along with its application and components. Afterwards a detailed ab-inltio model ...

Ulf Schaper; Oliver Sawodny; Tobias Mahl; Uli Blessing

2009-06-01T23:59:59.000Z

90

HEURISTIC APPROACH FOR OPTIMAL PARAMETER ESTIMATION OF ELECTRIC LOAD FORECAST MODEL  

Science Conference Proceedings (OSTI)

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

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

2009-01-01T23:59:59.000Z

91

Improved estimators for a general class of beta regression models  

Science Conference Proceedings (OSTI)

In this article, we extend the beta regression model proposed by Ferrari and Cribari-Neto (2004), which is generally useful in situations where the response is restricted to the standard unit interval in two different ways: we let the regression structure ...

Alexandre B. Simas; Wagner Barreto-Souza; Andréa V. Rocha

2010-02-01T23:59:59.000Z

92

The Transportation Revenue Estimator and Needs Determination System (TRENDS) Model  

E-Print Network (OSTI)

.......................................................... 15 3.3 Indexing the Motor Fuels Tax, inflation rates, taxes, fees and other elements. The output is a set of tables and graphs showing a forecast................................................................................................. 12 TRENDS Model Revenue Enhancements Tab 3.1 State Gasoline and Diesel Fuel Variables

93

A Scalable Modeling Technique to Estimate Dynamic Thermal Design Power of Datapath Intensive Designs  

Science Conference Proceedings (OSTI)

In this paper, a power modeling approach for the estimation of dynamic power under Thermal Design Power (TDP1) for datapath intensive designs is proposed. Early estimation of TDP is crucial for the design of thermal and cooling solutions of a chip and ...

Prashant Agrawal; Srinivasa R. STG; Ajit N. Oke; Saurabh Vijay

2007-03-01T23:59:59.000Z

94

Estimating forest biomass in the USA using generalized allometric models and MODIS land products  

E-Print Network (OSTI)

Estimating forest biomass in the USA using generalized allometric models and MODIS land products 2006; published 11 May 2006. [1] Spatially-distributed forest biomass components are essential to understand carbon cycle and the impact of biomass burning emissions on air quality. We estimated the density

Kuligowski, Bob

95

INVENTORY OF SOLAR RADIATION/SOLAR ENERGY SYSTEMS ESTIMATORS, MODELS, SITE-SPECIFIC DATA, AND PUBLICATIONS  

E-Print Network (OSTI)

INVENTORY OF SOLAR RADIATION/SOLAR ENERGY SYSTEMS ESTIMATORS, MODELS, SITE-SPECIFIC DATA, and Buildings Systems Integration Center National Renewable Energy Laboratory 8 July 2009 SOLAR SYSTEM POTENTIAL/calculators/PVWATTS/version1/ http://rredc.nrel.gov/solar/calculators/PVWATTS/version2/ Estimates the electrical energy

96

Estimating Nonparametric Random Utility Models with an Application to the Value of Time in Heterogeneous Populations  

Science Conference Proceedings (OSTI)

The estimation of random parameters by means of mixed logit models is now current practice for the analysis of transportation behaviour. One of the most straightforward applications is the derivation of willingness-to-pay distribution over a heterogeneous ... Keywords: B-spline, constrained optimization, mixed logit, nonparametric estimation

Fabian Bastin; Cinzia Cirillo; Philippe L. Toint

2010-11-01T23:59:59.000Z

97

Generalized linear model-based expert system for estimating the cost of transportation projects  

Science Conference Proceedings (OSTI)

Timely effective cost management requires reliable cost estimates at every stage of project development. While underestimation of transportation costs seems to be a global trend, improving early cost prediction accuracy in estimates is difficult. This ... Keywords: Cost management, Expert system, Generalized linear model, Relational database, Transportation projects

Jui-Sheng Chou

2009-04-01T23:59:59.000Z

98

Constructing neural network sediment estimation models using a data-driven algorithm  

Science Conference Proceedings (OSTI)

Artificial neural network (ANN) models are designed for suspended sediment estimation using statistical pre-processing of the data. Statistical properties such as cross-, auto- and partial auto-correlation of the data series are used for identifying ... Keywords: A data-driven algorithm, Neural networks, Sediment estimation

Özgür Kisi

2008-10-01T23:59:59.000Z

99

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

Science Conference Proceedings (OSTI)

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

Donald T. Resio

1981-04-01T23:59:59.000Z

100

Using hydrodynamic modeling for estimating flooding and water depths in grand bay, alabama  

Science Conference Proceedings (OSTI)

This paper presents a methodology for using hydrodynamic modeling to estimate inundation areas and water depths during a hurricane event. The Environmental Fluid Dynamic Code (EFDC) is used in this research. EFDC is one of the most commonly applied models ... Keywords: EFDC, flooding, grand bay, grid generation, hydrodynamics, inundation, modeling

Vladimir J. Alarcon; William H. McAnally

2012-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

On estimation and influence diagnostics for zero-inflated negative binomial regression models  

Science Conference Proceedings (OSTI)

The zero-inflated negative binomial model is used to account for overdispersion detected in data that are initially analyzed under the zero-inflated Poisson model. A frequentist analysis, a jackknife estimator and a non-parametric bootstrap for parameter ... Keywords: Bootstrap, EM algorithm, Global influence, Local influence, Negative binomial distribution, Zero-inflated models

Aldo M. Garay; Elizabeth M. Hashimoto; Edwin M. M. Ortega; Víctor H. Lachos

2011-03-01T23:59:59.000Z

102

USING BOX-JENKINS MODELS TO FORECAST FISHERY DYNAMICS: IDENTIFICATION, ESTIMATION, AND CHECKING  

E-Print Network (OSTI)

USING BOX-JENKINS MODELS TO FORECAST FISHERY DYNAMICS: IDENTIFICATION, ESTIMATION, AND CHECKING Roy MENDELSSOHN! ABSTRACT Box·Jenkins models are suggested as appropriate models for forecasting fishery dynamics in Hawaii. An actual 12-month forecast is shown to give a reasonable fit to the observed data. Most

103

Estimating Heat and Mass Transfer Processes in Green Roof Systems: Current Modeling Capabilities and Limitations (Presentation)  

Science Conference Proceedings (OSTI)

This presentation discusses estimating heat and mass transfer processes in green roof systems: current modeling capabilities and limitations. Green roofs are 'specialized roofing systems that support vegetation growth on rooftops.'

Tabares Velasco, P. C.

2011-04-01T23:59:59.000Z

104

Evolving Multisensor Precipitation Estimation Methods: Their Impacts on Flow Prediction Using a Distributed Hydrologic Model  

Science Conference Proceedings (OSTI)

This study investigates evolving methodologies for radar and merged gauge–radar quantitative precipitation estimation (QPE) to determine their influence on the flow predictions of a distributed hydrologic model. These methods include the National ...

David Kitzmiller; Suzanne Van Cooten; Feng Ding; Kenneth Howard; Carrie Langston; Jian Zhang; Heather Moser; Yu Zhang; Jonathan J. Gourley; Dongsoo Kim; David Riley

2011-12-01T23:59:59.000Z

105

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

Science Conference Proceedings (OSTI)

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

Shaosong Zhang; Jun Zhang

2006-02-01T23:59:59.000Z

106

Design and Analysis of Climate Model Experiments for the Efficient Estimation of Anthropogenic Signals  

Science Conference Proceedings (OSTI)

Presented herein is an experimental design that allows the effects of several radiative forcing factors on climate to be estimated as precisely as possible from a limited suite of atmosphere-only general circulation model (GCM) integrations. The ...

David M. H. Sexton; Howard Grubb; Keith P. Shine; Chris K. Folland

2003-05-01T23:59:59.000Z

107

An Estimation of the Bulk Transfer Coefficients for a Bare Soil Surface Using a Linear Model  

Science Conference Proceedings (OSTI)

A linear heat budget model is developed to estimate the daytime means of the bulk transfer coefficients for heat and evaporation efficiency using the daily variation of observational data. The daily variation of shortwave radiation, ground-level ...

Dai Matsushima; Junsei Kondo

1995-04-01T23:59:59.000Z

108

Evaluation of an Ecohydrologic-Process Model Approach to Estimating Annual Mountain-Block Recharge.  

E-Print Network (OSTI)

??Magruder, Ian, M.S., December 2006 Geology Evaluation of an Ecohydrologic-Process Model Approach to Estimating Annual Mountain-Block Recharge Chairperson: Dr. William Woessner Regional subsurface mountain-block recharge… (more)

Magruder, Ian Auguste

2007-01-01T23:59:59.000Z

109

Estimation and Model Validation of Surface Solar Radiation and Cloud Radiative Forcing Using TOGA COARE Measurements  

Science Conference Proceedings (OSTI)

The Tropical Ocean and Global Atmosphere Coupled Ocean–Atmosphere Response Experiment (TOGA COARE) radiation measurements in the western Pacific warm pool are used to estimate surface solar radiation budgets and to validate radiation model ...

Ming-Dah Chou; Wenzhong Zhao

1997-04-01T23:59:59.000Z

110

Exploratory Long-Range Models to Estimate Summer Climate Variability over Southern Africa  

Science Conference Proceedings (OSTI)

Teleconnection predictors are explored using multivariate regression models in an effort to estimate southern African summer rainfall and climate impacts one season in advance. The preliminary statistical formulations include many variables ...

Mark R. Jury; Henry M. Mulenga; Simon J. Mason

1999-07-01T23:59:59.000Z

111

Truncation Error Estimates for Refinement Criteria in Nested and Adaptive Models  

Science Conference Proceedings (OSTI)

Truncation error estimates are considered as criteria for fine-grid placement and movement in nested and adaptive finite-difference atmospheric models. A simple method for calculating the truncation error at any time during an integration is ...

William C. Skamrock

1989-04-01T23:59:59.000Z

112

Toward an Objective Analysis of Rainfall Rate Combining Observations and Short-Term Forecast Model Estimates  

Science Conference Proceedings (OSTI)

This study explores the feasibility of performing an objective analysis of instantaneous rain rate combining satellite estimates (and eventually other types of observations) with those from a numerical prediction model using the method of ...

Louis Garand; Christopher Grassotti

1995-09-01T23:59:59.000Z

113

Impact of aerothermal modeling on the estimation of turbine blade life  

E-Print Network (OSTI)

The impact of aerothermal modeling on estimates of turbine blade heat transfer and life was assessed for three high pressure turbine blades. The work was conducted as part of a project aimed at the evaluation of the effect ...

Collin, Jean E., 1978-

2004-01-01T23:59:59.000Z

114

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

Science Conference Proceedings (OSTI)

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

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

1980-07-01T23:59:59.000Z

115

Estimation of Discrete Choice Models Using DCM for Ox  

E-Print Network (OSTI)

changes. 4. If Ox has been installed properly, this will allow using the DCM package from any directory. To use the package in your code, add the command #include ’’packages/dcm/dcm.ox’’ at the top of all files which require it. 1Subscription information... .1 Data organization DCM can read any data format available in Ox and GiveWin. Fur- thermore, DCM accepts multiple types of data organizations, i.e., the organization of the data in the database. For example, in re- vealed preference or ordered models...

Eklof, Matias; Weeks, Melvyn

2004-06-16T23:59:59.000Z

116

Efficient estimation for semiparametric cure models with interval-censored data  

Science Conference Proceedings (OSTI)

This paper is concerned with the analysis of interval-censored survival data in the presence of a non-negligible cure fraction using semiparametric non-mixture cure models. We propose a spline-based sieve estimation method which overcomes numerical difficulties ... Keywords: 62G20, 62N01, 62N02, Constrained optimization, Cure model, Interval censoring, Semiparametric efficiency, Sieve maximum likelihood estimation, Splines

Tao Hu, Liming Xiang

2013-10-01T23:59:59.000Z

117

Estimation of the Cressman Term for a Barotropic Model through Optimization with Use of the Adjoint Model  

Science Conference Proceedings (OSTI)

This paper presents an estimate of the Cressman term that appears in the divergent barotropic model as a corrector of planetary-wave retrogression. In contrast with earlier studies, the term varies as a function of geographical location. The ...

Juhani Rinne; Heikki Järvinen

1993-03-01T23:59:59.000Z

118

Experimental Validation of Stochastic Wireless Urban Channel Model: Estimation and Prediction  

SciTech Connect

Stochastic differential equations (SDE) can be used to describe the time-varying nature of wireless channels. This paper validates a long-term fading channel model for estimation and prediction from solely using measured received signal strength measurements. Such channel models can be used for optimizing wireless networks deployed for industrial automation, public access, and communication. This paper uses two different sets of received signal measurement data to estimate an predict the signal strength based on past measurements. The realworld performance of the estimation and prediction algorithm is demonstrated.

Kuruganti, Phani Teja [ORNL; Ma, Xiao [ORNL; Djouadi, Seddik M [ORNL

2012-01-01T23:59:59.000Z

119

Estimates of Turbulence from Numerical Weather Prediction Model Output with Applications to Turbulence Diagnosis and Data Assimilation  

Science Conference Proceedings (OSTI)

Estimates of small-scale turbulence from numerical model output are produced from local estimates of the spatial structure functions of model variables such as the velocity and temperature. The key assumptions used are the existence of a ...

Rod Frehlich; Robert Sharman

2004-10-01T23:59:59.000Z

120

Depiction of the Variations of Great Plains Precipitation and Its Relationship with Tropical Central-Eastern Pacific SST  

Science Conference Proceedings (OSTI)

Several advanced analysis tools are applied to depict the time–frequency characteristics of the variations of Great Plains (GP) precipitation and its relationship with tropical central-eastern Pacific Ocean sea surface temperature (SST). These ...

Song Yang; X. Ding; D. Zheng; Q. Li

2007-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

Estimating home energy decision parameters for a hybrid energyYeconomy policy model  

E-Print Network (OSTI)

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

122

Coupling remote sensing with computational fluid dynamics modelling to estimate lake chlorophyll-a concentration  

E-Print Network (OSTI)

Coupling remote sensing with computational fluid dynamics modelling to estimate lake chlorophyll form 17 October 2000; accepted 1 June 2001 Abstract A remotely sensed image of Loch Leven, a shallow in the remotely sensed image. It is proposed that CFD modelling benefits the interpretation of remotely sensed

123

Parameter and Hyperparameter Estimation in a Probabilistic Model of Information Retrieval  

E-Print Network (OSTI)

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

Wong, Michael K Y

124

Model for estimating Venezuelan population with working age using artificial neural networks  

Science Conference Proceedings (OSTI)

This work presents the development of an Artificial Neural Networks model for estimating the female and male population with working age in Venezuela. For the creation of the model it is used the previous year values related to the employed, unemployed ... Keywords: artificial neural networks, labor force, regression analysis

Samaria Muñoz-Bravo; Anna Pérez-Méndez; Francklin Rivas-Echeverría

2009-03-01T23:59:59.000Z

125

Estimating joinpoints in continuous time scale for multiple change-point models  

Science Conference Proceedings (OSTI)

Joinpoint models have been applied to the cancer incidence and mortality data with continuous change points. The current estimation method [Lerman, P.M., 1980. Fitting segmented regression models by grid search. Appl. Statist. 29, 77-84] assumes that ... Keywords: Cancer incidence and mortality, Constrained least square, Joinpoint regression, SEER

Binbing Yu; Michael J. Barrett; Hyune-Ju Kim; Eric J. Feuer

2007-02-01T23:59:59.000Z

126

Statistical inference of minimum BD estimators and classifiers for varying-dimensional models  

Science Conference Proceedings (OSTI)

Stochastic modeling for large-scale datasets usually involves a varying-dimensional model space. This paper investigates the asymptotic properties, when the number of parameters grows with the available sample size, of the minimum-BD estimators and classifiers ... Keywords: A diverging number of parameters, Exponential family, Hemodynamic response function, Loss function, Optimal Bayes rule, primary, secondary

Chunming Zhang

2010-08-01T23:59:59.000Z

127

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

Science Conference Proceedings (OSTI)

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

Choujun Zhan; Lam Fat Yeung

2010-08-01T23:59:59.000Z

128

Characteristics of plume Releases as Depicted by Balloon Launchings and Model Simulations  

Science Conference Proceedings (OSTI)

On 12 May 1986, approximately 190 000 tagged helium balloons were released at 1330 EDT from locations scattered throughout the United States. An average of 4.5% of the balloon tags were recovered and sent to the American Geological Institute. A ...

R. A. Stocker; R. A. Pielke; A. J. Verdon; J. T. Snow

1990-01-01T23:59:59.000Z

129

Shell model estimate of electric dipole moment in medium and heavy nuclei  

SciTech Connect

The nuclear electric dipole moment (EDM) and the nuclear Schiff moment for the lowest 1/2{sup +} state of {sup 129}Xe are investigated in terms of the nuclear shell model. We estimate the upper limit for the EDM of neutral {sup 129}Xe atom using the Schiff moment. We also estimate the upper limit of the nuclear EDM, which may be directly measured through ionic atoms.

Yoshinaga, Naotaka [Department of Physics, Saitama University, Saitama City 338-8570 (Japan); Higashiyama, Koji [Department of Physics, Chiba Institute of Technology, Narashino, Chiba 275-0023 (Japan)

2011-05-06T23:59:59.000Z

130

Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes  

E-Print Network (OSTI)

This paper is devoted to the estimation of a vector $\\bm {\\theta}$ parametrizing an energy function of a Gibbs point process, via the maximum pseudolikelihood method. Strong consistency and asymptotic normality results of this estimator depending on a single realization are presented. In the framework of exponential family models, sufficient conditions are expressed in terms of the local energy function and are verified on a wide variety of examples.

Billiot, Jean-Michel; Drouilhet, Rémy

2008-01-01T23:59:59.000Z

131

A Probabilistic Deformation Demand Model and Fragility Estimates for Asymmetric Offshore Jacket Platforms  

E-Print Network (OSTI)

Interest in evaluating the performance and safety of offshore oil and gas platforms has been expanding due to the growing world energy supply and recent offshore catastrophes. In order to accurately assess the reliability of an offshore platform, all relevant uncertainties must be properly accounted for. This necessitates the development of a probabilistic demand model that accounts for the relevant uncertainties and model errors. In this study, a probabilistic demand model is developed to assess the deformation demand on asymmetric offshore jacket platforms subject to wave and current loadings. The probabilistic model is constructed by adding correction terms and a model error to an existing deterministic deformation demand model. The correction terms are developed to capture the bias inherent in the deterministic model. The model error is developed to capture the accuracy of the model. The correction terms and model errors are estimated through a Bayesian approach using simulation data obtained from detailed dynamic analyses of a set of representative asymmetric offshore platform configurations. The proposed demand model provides accurate and unbiased estimates of the deformation demand on offshore jacket platforms. The developed probabilistic demand model is then used to assess the reliability of a typical offshore platform considering serviceability and ultimate performance levels. In addition, a sensitivity analysis is conducted to assess the effect of key parameters on the results of the analyses. The proposed demand model can be used to assess the reliability of different design options and for the reliability-based optimal design of offshore jacket platforms.

Fallon, Michael

2012-12-01T23:59:59.000Z

132

Estimation of Climate Change Impact on Mean Annual Runoff across Continental Australia Using Budyko and Fu Equations and Hydrological Models  

Science Conference Proceedings (OSTI)

This paper presents the climate change impact on mean annual runoff across continental Australia estimated using the Budyko and Fu equations informed by projections from 15 global climate models and compares the estimates with those from extensive ...

J. Teng; F. H. S. Chiew; J. Vaze; S. Marvanek; D. G. C. Kirono

2012-06-01T23:59:59.000Z

133

A Neural Network Model for Construction Projects Site Overhead Cost Estimating in Egypt  

E-Print Network (OSTI)

Estimating of the overhead costs of building construction projects is an important task in the management of these projects. The quality of construction management depends heavily on their accurate cost estimation. Construction costs prediction is a very difficult and sophisticated task especially when using manual calculation methods. This paper uses Artificial Neural Network (ANN) approach to develop a parametric cost-estimating model for site overhead cost in Egypt. Fifty-two actual real-life cases of building projects constructed in Egypt during the seven year period 2002-2009 were used as training materials. The neural network architecture is presented for the estimation of the site overhead costs as a percentage from the total project price.

ElSawy, Ismaail; Razek, Mohammed Abdel

2011-01-01T23:59:59.000Z

134

Gaze Estimation for Off-Angle Iris Recognition Based on the Biometric Eye Model  

SciTech Connect

Iris recognition is among the highest accuracy biometrics. However, its accuracy relies on controlled high quality capture data and is negatively affected by several factors such as angle, occlusion, and dilation. Non-ideal iris recognition is a new research focus in biometrics. In this paper, we present a gaze estimation method designed for use in an off-angle iris recognition framework based on the ANONYMIZED biometric eye model. Gaze estimation is an important prerequisite step to correct an off-angle iris images. To achieve the accurate frontal reconstruction of an off-angle iris image, we first need to estimate the eye gaze direction from elliptical features of an iris image. Typically additional information such as well-controlled light sources, head mounted equipment, and multiple cameras are not available. Our approach utilizes only the iris and pupil boundary segmentation allowing it to be applicable to all iris capture hardware. We compare the boundaries with a look-up-table generated by using our biologically inspired biometric eye model and find the closest feature point in the look-up-table to estimate the gaze. Based on the results from real images, the proposed method shows effectiveness in gaze estimation accuracy for our biometric eye model with an average error of approximately 3.5 degrees over a 50 degree range.

Karakaya, Mahmut [ORNL; Barstow, Del R [ORNL; Santos-Villalobos, Hector J [ORNL; Thompson, Joseph W [ORNL; Bolme, David S [ORNL; Boehnen, Chris Bensing [ORNL

2013-01-01T23:59:59.000Z

135

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

SciTech Connect

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

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

2012-02-15T23:59:59.000Z

136

Evaluation and refinement of leak-rate estimation models. Revision 1  

Science Conference Proceedings (OSTI)

Leak-rate estimation models are important elements in developing a leak-beforebreak methodology in piping integrity and safety analyses. Existing thermalhydraulic and crack-opening-area models used in current leak-rate estimations have been incorporated into a single computer code for leak-rate estimation. The code is called SQUIRT, which stands for Seepage Quantification of Upsets In Reactor Tubes. The SQUIRT program has been validated by comparing its thermalhydraulic predictions with the limited experimental data that have been published on two-phase flow through slits and cracks, and by comparing its crack-opening-area predictions with data from the Degraded Piping Program. In addition, leak-rate experiments were conducted to obtain validation data for a circumferential fatigue crack in a carbon steel pipe girth weld.

Paul, D.D.; Ahmad, J.; Scott, P.M.; Flanigan, L.F.; Wilkowski, G.M. [Battelle, Columbus, OH (United States)

1994-06-01T23:59:59.000Z

137

Modeling and Analysis to Estimate the End-System Performance Bottleneck for  

E-Print Network (OSTI)

55 Modeling and Analysis to Estimate the End-System Performance Bottleneck for High-Speed Data@cs.ucdavis.edu Abstract-- The bandwidth available in a high-speed backbone network today is much greater than the capacity at the edge. As an example, when the transmission line rate is 10 Gbps, the end computing machine (end

California at Davis, University of

138

Fluid Temperature and Power Estimation of Geothermal Power Plants by a Simplified Numerical Model  

Science Conference Proceedings (OSTI)

This paper presents an estimation of power generated in a given geothermal heat pipe system. Such power generation is basically controlled by the ultimate temperature of fluid flowing through the u-shape pipes and could also be affected by power consumption ... Keywords: energy, geothermal power plant, numerical model, heat conduction, optimum design

Ge Ou; Itai Einav

2010-08-01T23:59:59.000Z

139

Collinearity and Two-Step Estimation of Sample Selection Models: Problems, Origins, and Remedies  

Science Conference Proceedings (OSTI)

This paper investigates the origins of the collinearity problems encountered in the two-step estimation method for sample selection models. The analysis reveals several critical misconceptions and deficiencies in the literature. Remedies to the ... Keywords: Heckman's two-step method, Monte Carlo experiment, collinearity problem, remedy, sample selection, wage equation

Siu Fai Leung; Shihti Yu

2000-06-01T23:59:59.000Z

140

BAYESIAN ESTIMATION OF HARDNESS RATIOS: MODELING AND COMPUTATIONS Taeyoung Park, 1  

E-Print Network (OSTI)

BAYESIAN ESTIMATION OF HARDNESS RATIOS: MODELING AND COMPUTATIONS Taeyoung Park, 1 Vinay L. Kashyap the nature of a photon spectrum is the so­called hardness ratio, which compares the numbers of counts observed in different passbands. The hardness ratio is especially useful to distinguish between

Wargelin, Bradford J.

Note: This page contains sample records for the topic "depicting model estimates" 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

BAYESIAN ESTIMATION OF HARDNESS RATIOS: MODELING AND COMPUTATIONS Taeyoung Park,1  

E-Print Network (OSTI)

BAYESIAN ESTIMATION OF HARDNESS RATIOS: MODELING AND COMPUTATIONS Taeyoung Park,1 Vinay L. Kashyap of a photon spectrum is the so-called hardness ratio, which compares the numbers of counts observed in different passbands. The hardness ratio is especially useful to distinguish between and categorize weak

Wargelin, Bradford J.

142

Application of Smoothed Estimators in Spectrum Sensing Technique Based on Model Selection  

E-Print Network (OSTI)

Application of Smoothed Estimators in Spectrum Sensing Technique Based on Model Selection Bassem--In cognitive radio networks, secondary user (SU) does not have rights to transmit when the primary user (PU technique based on distribution analysis was developed for sensing the spectrum holes in the PU band

Gesbert, David

143

3D model retrieval using accurate pose estimation and view-based similarity  

Science Conference Proceedings (OSTI)

In this paper, a novel framework for 3D object retrieval is presented. The paper focuses on the investigation of an accurate 3D model alignment method, which is achieved by combining two intuitive criteria, the plane reflection symmetry and rectilinearity. ... Keywords: 3D object retrieval, alignment, pose estimation

Apostolos Axenopoulos; Georgios Litos; Petros Daras

2011-04-01T23:59:59.000Z

144

Estimating Bacteria Emissions from Inversion of Atmospheric Transport: Sensitivity to Modelled Particle Characteristics  

SciTech Connect

Model-simulated transport of atmospheric trace components can be combined with observed concentrations to obtain estimates of ground-based sources using various inversion techniques. These approaches have been applied in the past primarily to obtain source estimates for long-lived trace gases such as CO2. We consider the application of similar techniques to source estimation for atmospheric aerosols, by using as a case study the estimation of bacteria emissions from different ecosystem regions in the global atmospheric chemistry and climate model ECHAM5/MESSy-Atmospheric Chemistry (EMAC). Simulated particle concentrations in the tropopause region and at high latitudes, as well as transport of particles to tundra and land ice regions are shown to be highly sensitive to scavenging in mixed-phase clouds, which is poorly characterized in most global climate models. This may be a critical uncertainty in correctly simulating the transport of aerosol particles to the Arctic. Source estimation via Monte Carlo Markov Chain is applied to a suite of sensitivity simulations and the global mean emissions are estimated. We present an analysis of the partitioning of uncertainties in the global mean emissions that are attributable to particle size, CCN activity, the ice nucleation scavenging ratios for mixed-phase and cold clouds, and measurement error. Uncertainty due to CCN activity or to a 1 um error in particle size is typically between 10% and 40% of the uncertainty due to data uncertainty, as measured by the 5%-ile to 95%-ile range of the Monte Carlo ensemble. Uncertainty attributable to the ice nucleation scavenging ratio in mized-phase clouds is as high as 10% to 20% of the data uncertainty. Taken together, the four model 20 parameters examined contribute about half as much to the uncertainty in the estimated emissions as do the measurements. This was a surprisingly large contribution from model uncertainty in light of the substantial data uncertainty, which ranges from 81% to 870% for each of ten ecosystems for this case study. The effects of these and other model parameters in contributing to the uncertainties in the transport of atmospheric aerosol particles should be treated explicitly and systematically in both forward and inverse modelling studies.

Burrows, Susannah M.; Rayner, Perter; Butler, T.; Lawrence, M.

2013-06-04T23:59:59.000Z

145

Steady-state model for estimating gas production from underground coal gasification  

Science Conference Proceedings (OSTI)

A pseudo-one-dimensional channel model has been developed to estimate gas production from underground coal gasification. The model incorporates a zero-dimensional steady-state cavity growth submodel and models mass transfer from the bulk gas to the coal wall using a correlation for natural convection. Simulations with the model reveal that the gas calorific value is sensitive to coal reactivity and the exposed reactive surface area per unit volume in the channel. A comparison of model results with several small-scale field trials conducted at Centralia in the U.S.A. show that the model can make good predictions of the gas production and composition under a range of different operating conditions, including operation with air and steam/oxygen mixtures. Further work is required to determine whether the model formulation is also suitable for simulating large-scale underground coal gasification field trials.

Greg Perkins; Veena Sahajwalla [University of New South Wales, Sydney, NSW (Australia). School of Materials Science and Engineering

2008-11-15T23:59:59.000Z

146

Review of hardware cost estimation methods, models and tools applied to early phases of space mission planning  

E-Print Network (OSTI)

Equipment; AHP, Analytic Hierarchy Process; AMCM, Advanced Missions Cost Model; ASPE, American SocietyReview of hardware cost estimation methods, models and tools applied to early phases of space Cost estimation Cost model Parametrics Space hardware Early mission phase a b s t r a c t The primary

Sekercioglu, Y. Ahmet

147

Comparison of Fourier and model-based estimators in single mode multiaxial interferometry  

E-Print Network (OSTI)

There are several solutions to code the signal arising from optical long baseline multi-aperture interferometers. In this paper,we focus on the {\\bf non homothetic spatial coding scheme} (multiaxial) with the fringe pattern coded along one dimension on one detector(all-in-one). After describing the physical principles governing single mode interferometers using that sort of recombination scheme, we analyze two different existing methods that measure the source visibility. The first technique, so-called Fourier estimator, consists in integrating the high frequency peak of the power spectral density of the interferogram. The second method, so-called model-based estimator, has been specifically developed for the AMBER instrument of the VLTI and deals with directly modelling the interferogram recorded on the detector. Performances of both estimators are computed in terms of Signal to Noise Ratio (SNR) of the visibility, assuming that the interferograms are perturbed by photon and detector noises. Theoretical expressions of the visibility SNR are provided, validated through numerical computations and then compared. We show that the model-based estimator offers up to 5 times better performances than the Fourier one.

E. Tatulli; J. -B. LeBouquin

2006-02-15T23:59:59.000Z

148

Models for estimation of service life of concrete barriers in low-level radioactive waste disposal  

SciTech Connect

Concrete barriers will be used as intimate parts of systems for isolation of low level radioactive wastes subsequent to disposal. This work reviews mathematical models for estimating the degradation rate of concrete in typical service environments. The models considered cover sulfate attack, reinforcement corrosion, calcium hydroxide leaching, carbonation, freeze/thaw, and cracking. Additionally, fluid flow, mass transport, and geochemical properties of concrete are briefly reviewed. Example calculations included illustrate the types of predictions expected of the models. 79 refs., 24 figs., 6 tabs.

Walton, J.C.; Plansky, L.E.; Smith, R.W. (EG and G Idaho, Inc., Idaho Falls, ID (USA))

1990-09-01T23:59:59.000Z

149

Review of uncertainty estimates associated with models for assessing the impact of breeder reactor radioactivity releases  

SciTech Connect

The purpose is to summarize estimates based on currently available data of the uncertainty associated with radiological assessment models. The models being examined herein are those recommended previously for use in breeder reactor assessments. Uncertainty estimates are presented for models of atmospheric and hydrologic transport, terrestrial and aquatic food-chain bioaccumulation, and internal and external dosimetry. Both long-term and short-term release conditions are discussed. The uncertainty estimates presented in this report indicate that, for many sites, generic models and representative parameter values may be used to calculate doses from annual average radionuclide releases when these calculated doses are on the order of one-tenth or less of a relevant dose limit. For short-term, accidental releases, especially those from breeder reactors located in sites dominated by complex terrain and/or coastal meteorology, the uncertainty in the dose calculations may be much larger than an order of magnitude. As a result, it may be necessary to incorporate site-specific information into the dose calculation under these circumstances to reduce this uncertainty. However, even using site-specific information, natural variability and the uncertainties in the dose conversion factor will likely result in an overall uncertainty of greater than an order of magnitude for predictions of dose or concentration in environmental media following shortterm releases.

Miller, C.; Little, C.A.

1982-08-01T23:59:59.000Z

150

Estimating Loss-of-Coolant Accident Frequencies for the Standardized Plant Analysis Risk Models  

Science Conference Proceedings (OSTI)

The U.S. Nuclear Regulatory Commission maintains a set of risk models covering the U.S. commercial nuclear power plants. These standardized plant analysis risk (SPAR) models include several loss-of-coolant accident (LOCA) initiating events such as small (SLOCA), medium (MLOCA), and large (LLOCA). All of these events involve a loss of coolant inventory from the reactor coolant system. In order to maintain a level of consistency across these models, initiating event frequencies generally are based on plant-type average performance, where the plant types are boiling water reactors and pressurized water reactors. For certain risk analyses, these plant-type initiating event frequencies may be replaced by plant-specific estimates. Frequencies for SPAR LOCA initiating events previously were based on results presented in NUREG/CR-5750, but the newest models use results documented in NUREG/CR-6928. The estimates in NUREG/CR-6928 are based on historical data from the initiating events database for pressurized water reactor SLOCA or an interpretation of results presented in the draft version of NUREG-1829. The information in NUREG-1829 can be used several ways, resulting in different estimates for the various LOCA frequencies. Various ways NUREG-1829 information can be used to estimate LOCA frequencies were investigated and this paper presents two methods for the SPAR model standard inputs, which differ from the method used in NUREG/CR-6928. In addition, results obtained from NUREG-1829 are compared with actual operating experience as contained in the initiating events database.

S. A. Eide; D. M. Rasmuson; C. L. Atwood

2008-09-01T23:59:59.000Z

151

Development of a practical modeling framework for estimating the impact of wind technology on bird populations  

DOE Green Energy (OSTI)

One of the most pressing environmental concerns related to wind project development is the potential for avian fatalities caused by the turbines. The goal of this project is to develop a useful, practical modeling framework for evaluating potential wind power plant impacts that can be generalized to most bird species. This modeling framework could be used to get a preliminary understanding of the likelihood of significant impacts to birds, in a cost-effective way. The authors accomplish this by (1) reviewing the major factors that can influence the persistence of a wild population; (2) briefly reviewing various models that can aid in estimating population status and trend, including methods of evaluating model structure and performance; (3) reviewing survivorship and population projections; and (4) developing a framework for using models to evaluate the potential impacts of wind development on birds.

Morrison, M.L. [California State Univ., Sacramento, CA (United States); Pollock, K.H. [North Carolina State Univ., Raleigh, NC (United States)

1997-11-01T23:59:59.000Z

152

Glass Property Data and Models for Estimating High-Level Waste Glass Volume  

SciTech Connect

This report describes recent efforts to develop glass property models that can be used to help estimate the volume of high-level waste (HLW) glass that will result from vitrification of Hanford tank waste. The compositions of acceptable and processable HLW glasses need to be optimized to minimize the waste-form volume and, hence, to save cost. A database of properties and associated compositions for simulated waste glasses was collected for developing property-composition models. This database, although not comprehensive, represents a large fraction of data on waste-glass compositions and properties that were available at the time of this report. Glass property-composition models were fit to subsets of the database for several key glass properties. These models apply to a significantly broader composition space than those previously publised. These models should be considered for interim use in calculating properties of Hanford waste glasses.

Vienna, John D.; Fluegel, Alexander; Kim, Dong-Sang; Hrma, Pavel R.

2009-10-05T23:59:59.000Z

153

Reading between the tags to predict real-world size-class for visually depicted objects in images  

Science Conference Proceedings (OSTI)

Multimedia information retrieval stands to benefit from the availability of additional information about tags and how they relate to the content visually depicted in images. We propose a generic approach that contributes to improving the informativeness ... Keywords: crowdsourcing, image annotation, lexico-syntactic patterns, real-world scale, selectional restrictions, size, user-contributed tags

Martha Larson; Christoph Kofler; Alan Hanjalic

2011-11-01T23:59:59.000Z

154

A comparison of two heat transfer models for estimating thermal drawdown in Hot Dry Rock reservoirs  

DOE Green Energy (OSTI)

Estimates of thermal drawdown in Hot Dry Rock geothermal systems have been made with two different models of heat transfer from hydraulically fractured reservoir rock blocks to water circulated through the fracture permeability. One model is based on deconvolution of experimental tracer response curves into a network of flowpaths connected in parallel with heat transfer calculated individually in each flowpath. The second model is based on one-dimensional flow through the rock with a block size distribution described as a group of equivalent-radius spheres for which the heat transfer equations can be solved analytically. The two-models were applied to the planned Phase II long-term thermal drawdown experiment at Fenton Hill, NM. The results show good agreement between the two models, with estimates of temperature cooldown from 240/sup 0/C to 150/sup 0/C in a few years depending on selected operation parameters, but with somewhat differing cooldown curve characteristic shapes. Data from the long-term experiment will be helpful in improving the two models.

Robinson, B.A.; Kruger, P.

1988-01-01T23:59:59.000Z

155

Modeling, Estimation, and Control in Energy Systems: Batteries & Demand Response  

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

Modeling, Modeling, Estimation, and Control in Energy Systems: Batteries & Demand Response Scott Moura Assistant Professor Civl & Environmental Engineering University of California, Berkeley EETD | LBNL Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 1 Source: Vaclav Smil Estimates from Energy Transitions Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 2 Energy Initiatives Denmark 50% wind penetration by 2025 Brazil uses 86% renewables China's aggressive energy/carbon intensity reduction EV Everywhere SunShot Green Button Zero emissions vehicle (ZEV) 33% renewables by 2020 Go Solar California Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 3 Energy Systems of Interest Energy storage Smart Grids (e.g., batteries) (e.g., demand response) Scott Moura | UC Berkeley Control, Batts, DR December 4, 2013 | Slide 4 Energy

156

Evaluation of the Effective Moisture Penetration Depth Model for Estimating Moisture Buffering in Buildings  

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

Evaluation of the Effective Evaluation of the Effective Moisture Penetration Depth Model for Estimating Moisture Buffering in Buildings J. Woods, J. Winkler, and D. Christensen National Renewable Energy Laboratory Technical Report NREL/TP-5500-57441 January 2013 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Moisture Penetration Depth Model for Estimating Moisture Buffering in Buildings J. Woods, J. Winkler, and D. Christensen National Renewable Energy Laboratory Prepared under Task No. BE12.0201

157

The Effects of Imperfect Spatial and Temporal Sampling on Estimates of the Global Mean Temperature: Experiments with Model Data  

Science Conference Proceedings (OSTI)

A long time series of data simulated by the NCAR Community Climate Model is used to empirically determine the effects of imperfect spatial and temporal sampling on estimates of the model's global-mean surface air temperature. Results determined ...

R. A. Madden; D. J. Shea; G. W. Branstator; J. J. Tribbia; R. O. Weber

1993-06-01T23:59:59.000Z

158

Estimation of Sensible and Latent Heat Fluxes from Soil Surface Temperature Using a Linear Air-Land Heat Transfer Model  

Science Conference Proceedings (OSTI)

The authors present a linearized model of the heat transfer between the soil layer and the atmosphere. Using this model, the moisture availability at the surface can be estimated from the diurnal variations of the soil surface temperature and ...

Fujio Kimura; Yugo Shimizu

1994-04-01T23:59:59.000Z

159

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

DOE Green Energy (OSTI)

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

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

2010-05-01T23:59:59.000Z

160

Original article: Estimation of spatially varying open boundary conditions for a numerical internal tidal model with adjoint method  

Science Conference Proceedings (OSTI)

The adjoint data assimilation technique is applied to the estimation of the spatially varying open boundary conditions (OBCs) for a numerical internal tidal model. The spatial variation of the OBCs is realized by the so-called 'independent point scheme' ... Keywords: Adjoint method, Internal tidal model, Open boundary conditions, Parameter estimation, Spatial variation

Haibo Chen, Anzhou Cao, Jicai Zhang, Chunbao Miao, Xianqing Lv

2014-03-01T23:59:59.000Z

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161

Improved interval estimation of long run response from a dynamic linear model: A highest density region approach  

Science Conference Proceedings (OSTI)

This paper proposes a new method of interval estimation for the long run response (or elasticity) parameter from a general linear dynamic model. We employ the bias-corrected bootstrap, in which small sample biases associated with the parameter estimators ... Keywords: ARDL model, Bias-correction, Bootstrapping, Highest density region, Long run elasticity

Jae H. Kim; Iain Fraser; Rob J. Hyndman

2011-08-01T23:59:59.000Z

162

Statistical Cue Estimation for Model-Based Shape and Motion Tracking  

E-Print Network (OSTI)

Vision-based tracking of moving objects is important in many applications, ranging from sports and medicine to security and recognition of human action. In this dissertation we discuss novel methods for statistical deformable model tracking. Our main contribution is a method to estimate the probability distributions of the observations in a deformable model tracking system. This method offers the compelling advantage that it does not require us to make many of the traditional assumptions about the underlying probability distributions of the cues. Despite this advantage, it still is fast; the run time overhead over non-statistical approaches is only 5-10%.

Dimitris Metaxas; Benjamin Pierce; Siome Goldenstein; Siome Goldenstein

2002-01-01T23:59:59.000Z

163

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

SciTech Connect

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

Burnham, A K

2006-05-17T23:59:59.000Z

164

Parameter identification and on-line estimation for reduced kinetic model  

Science Conference Proceedings (OSTI)

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

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

1998-08-07T23:59:59.000Z

165

New Methods for Modeling and Estimating the Social Costs of Motor Vehicle Use  

E-Print Network (OSTI)

Valuation and External Cost Estimates* VOD (Bootstrap) Std.accident externalities, cost estimates are di- rectlyand presents external cost estimates, along with related

Steimetz, Seiji Sudhana Carl

2004-01-01T23:59:59.000Z

166

Work Costs and Nonconvex Preferences in the Estimation of Labor Supply Models  

E-Print Network (OSTI)

We first critique the manner in which work costs have been introduced into labor supply estimation, and note the difficulty of incorporating a realistic rendering of the costs of work. We then show that, if work costs are not acounted for in the budget and time constraints in a structural labor supply model, they will be subsumed into the data generating preferences. We show that even if underlying preferences over consumption and leisure are convex, the presence of unobservable work costs can make these preferences appear nonconvex. Absent strong functional form assumptions, these work costs are not identified in data commonly used for labor supply estimation. However, we show that even if work costs cannot be separately identified, policy relevant calculations, such as estimates of the effect of tax changes on labor supply and deadweight loss calculations, are not affected by the fact that estimated preferences incorporate work costs. We would like to thank Joe Altonji and Chris Taber for valuable conversations, and seminar participants

Bradley T. Heim; Bruce D. Meyer

2004-01-01T23:59:59.000Z

167

A Biomass-based Model to Estimate the Plausibility of Exoplanet Biosignature Gases  

E-Print Network (OSTI)

Biosignature gas detection is one of the ultimate future goals for exoplanet atmosphere studies. We have created a framework for linking biosignature gas detectability to biomass estimates, including atmospheric photochemistry and biological thermodynamics. The new framework is intended to liberate predictive atmosphere models from requiring fixed, Earth-like biosignature gas source fluxes. New biosignature gases can be considered with a check that the biomass estimate is physically plausible. We have validated the models on terrestrial production of NO, H2S, CH4, CH3Cl, and DMS. We have applied the models to propose NH3 as a biosignature gas on a "cold Haber World," a planet with a N2-H2 atmosphere, and to demonstrate why gases such as CH3Cl must have too large of a biomass to be a plausible biosignature gas on planets with Earth or early-Earth-like atmospheres orbiting a Sun-like star. To construct the biomass models, we developed a functional classification of biosignature gases, and found that gases (such...

Seager, S; Hu, R

2013-01-01T23:59:59.000Z

168

Estimating a Model of Strategic Network Choice: The Convenience-Store Industry in Okinawa  

E-Print Network (OSTI)

This paper examines the impacts of the merger of two multi-store …rms, using new crosssectional data from the convenience-store industry in Okinawa, Japan. I propose a general methodology for estimating a game of network choice by two multi-store …rms. I use latticetheoretical results to deal with the huge number of possible network choices. I integrate the entry model with post-entry outcome data, while correcting for the selection of entrants by simulations. Parameter estimates …nd the acquirer of a hypothetical merger of two chains would increase its number of stores in the city center in Okinawa but would decrease its number in suburbs. The trade-o ¤ of cost savings and lost revenues from clustering its own stores plays a central role in explaining this seemingly odd result. I also examine the impacts of eliminating the zoning regulation introduced in 1968, which has been a major urban policy issue.

Mitsukuni Nishida Y

2009-01-01T23:59:59.000Z

169

Estimating the Market Penetration of Residential Cool Storage Technology Using Economic Cost Modeling  

E-Print Network (OSTI)

This study estimated the market penetration for residential cool storage technology using economic cost modeling. Residential cool storage units produce and store chill during off-peak periods of the day to be used during times of peak electric power needs. This paper provides projections of unit sales expected in 5-year intervals for the years 1995, 2000, 2005, and 2010, Such projections help to determine the maximum amount o f energy that could be displaced by this technology in the future. This study also found that price incentives offered to households must be varied dramatically by region for residential cool storage systems to be economically competitive relative to conventional systems. Under the most likely scenario, this analysis estimated that residential cool storage units will eventually capture about one-half of the central air conditioning (A/C) market.

Weijo, R. O.; and Brown, D. R.

1988-01-01T23:59:59.000Z

170

Estimating the market penetration of residential cool storage technology using economic cost modeling  

DOE Green Energy (OSTI)

This study estimated the market penetration for residential cool storage technology using economic cost modeling. Residential cool storage units produce and store chill during off-peak periods of the day to be used during times of peak electric power needs. This paper provides projections of unit sales expected in 5-year intervals for the years 1995, 2000, 2005, and 2010. Such projections help to determine the maximum amount of energy that could be displaced by this technology in the future. This study also found that price incentives offered to households must be varied dramatically by region for residential cool storage systems to be economically competitive relative to conventional systems. Under the most likely scenario, this analysis estimated that residential cool storage units will eventually capture about one-half of the central air conditioning (A/C) market. 14 refs., 2 figs., 8 tabs.

Weijo, R.O.; Brown, D.R.

1988-06-01T23:59:59.000Z

171

World knowledge for sensors and estimators by models and internal models  

Science Conference Proceedings (OSTI)

A necessary strategy to improve our technologies is to provide them with useful pieces of deterministic previous knowledge about the processes and the equipment. Our attention was previously focused on the industrial control systems, implemented with ... Keywords: Internal model, fuzzy-interpolative system, sensor fusion

V. E. Balas; L. C. Jain

2010-04-01T23:59:59.000Z

172

Using Multi-scale Dynamic Rupture Models to Improve Ground Motion Estimates  

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

Earthquake simulations help scientists understand the hazards posed by Earthquake simulations help scientists understand the hazards posed by future earthquakes. Earthquake computational models are validated by simulating well-recorded historical earthquakes and comparing simulation results to observational data. The purple border shows the extent of the 3-D structural model in the 3-D inversion. Events in red, with stations in blue. En-Jui Lee, University of Wyoming Using Multi-scale Dynamic Rupture Models to Improve Ground Motion Estimates PI Name: Thomas Jordan PI Email: tjordan@usc.edu Institution: USC Allocation Program: ESP Allocation Hours at ALCF: 150 Million Year: 2010 to 2013 Research Domain: Earth Science Researchers will use Southern California Earthquake Center (SCEC) dynamic rupture simulation software to investigate high-frequency seismic energy

173

OFF-HIGHWAY GASOLINE CONSUMPTION ESTIMATION MODELS USED IN THE FEDERAL HIGHWAY ADMINISTRATION ATTRIBUTION AND PROCESS  

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

222 222 Center for Transportation Analysis Energy and Transportation Science Division OFF-HIGHWAY GASOLINE CONSUMPTION ESTIMATION MODELS USED IN THE FEDERAL HIGHWAY ADMINISTRATION ATTRIBUTION AND PROCESS 2008 Updates Ho-Ling Hwang, Ph.D. Stacy Davis Date Published: December 2009 Prepared by OAK RIDGE NATIONAL LABORATORY Oak Ridge, Tennessee 37831-6283 managed by UT-BATTELLE, LLC for the U.S. DEPARTMENT OF ENERGY under contract DE-AC05-00OR22725 iii TABLE OF CONTENTS LIST OF FIGURES AND TABLES....................................................................................v LIST OF ACRONYMS .................................................................................................... vii ABSTRACT ....................................................................................................................... ix

174

Off-Highway Gasoline Consuption Estimation Models Used in the Federal Highway Administration Attribution Process: 2008 Updates  

SciTech Connect

This report is designed to document the analysis process and estimation models currently used by the Federal Highway Administration (FHWA) to estimate the off-highway gasoline consumption and public sector fuel consumption. An overview of the entire FHWA attribution process is provided along with specifics related to the latest update (2008) on the Off-Highway Gasoline Use Model and the Public Use of Gasoline Model. The Off-Highway Gasoline Use Model is made up of five individual modules, one for each of the off-highway categories: agricultural, industrial and commercial, construction, aviation, and marine. This 2008 update of the off-highway models was the second major update (the first model update was conducted during 2002-2003) after they were originally developed in mid-1990. The agricultural model methodology, specifically, underwent a significant revision because of changes in data availability since 2003. Some revision to the model was necessary due to removal of certain data elements used in the original estimation method. The revised agricultural model also made use of some newly available information, published by the data source agency in recent years. The other model methodologies were not drastically changed, though many data elements were updated to improve the accuracy of these models. Note that components in the Public Use of Gasoline Model were not updated in 2008. A major challenge in updating estimation methods applied by the public-use model is that they would have to rely on significant new data collection efforts. In addition, due to resource limitation, several components of the models (both off-highway and public-us models) that utilized regression modeling approaches were not recalibrated under the 2008 study. An investigation of the Environmental Protection Agency's NONROAD2005 model was also carried out under the 2008 model update. Results generated from the NONROAD2005 model were analyzed, examined, and compared, to the extent that is possible on the overall totals, to the current FHWA estimates. Because NONROAD2005 model was designed for emission estimation purposes (i.e., not for measuring fuel consumption), it covers different equipment populations from those the FHWA models were based on. Thus, a direct comparison generally was not possible in most sectors. As a result, NONROAD2005 data were not used in the 2008 update of the FHWA off-highway models. The quality of fuel use estimates directly affect the data quality in many tables published in the Highway Statistics. Although updates have been made to the Off-Highway Gasoline Use Model and the Public Use Gasoline Model, some challenges remain due to aging model equations and discontinuation of data sources.

Hwang, Ho-Ling [ORNL; Davis, Stacy Cagle [ORNL

2009-12-01T23:59:59.000Z

175

Comparison of model estimated and measured direct-normal solar irradiance  

SciTech Connect

Direct-normal solar irradiance (DNSI), the energy in the solar spectrum incident in unit time at the Earth{close_quote}s surface on a unit area perpendicular to the direction to the Sun, depends only on atmospheric extinction of solar energy without regard to the details of the extinction, whether absorption or scattering. Here we report a set of closure experiments performed in north central Oklahoma in April 1996 under cloud-free conditions, wherein measured atmospheric composition and aerosol optical thickness are input to a radiative transfer model, MODTRAN 3, to estimate DNSI, which is then compared with measured values obtained with normal incidence pyrheliometers and absolute cavity radiometers. Uncertainty in aerosol optical thickness (AOT) dominates the uncertainty in DNSI calculation. AOT measured by an independently calibrated Sun photometer and a rotating shadow-band radiometer agree to within the uncertainties of each measurement. For 36 independent comparisons the agreement between measured and model-estimated values of DNSI falls within the combined uncertainties in the measurement (0.3{endash}0.7{percent}) and model calculation (1.8{percent}), albeit with a slight average model underestimate ({minus}0.18{plus_minus}0.94){percent}; for a DNSI of 839Wm{sup {minus}2} this corresponds to {minus}1.5{plus_minus}7.9Wm{sup {minus}2}. The agreement is nearly independent of air mass and water-vapor path abundance. These results thus establish the accuracy of the current knowledge of the solar spectrum, its integrated power, and the atmospheric extinction as a function of wavelength as represented in MODTRAN 3. An important consequence is that atmospheric absorption of short-wave energy is accurately parametrized in the model to within the above uncertainties. {copyright} 1997 American Geophysical Union

Halthore, R.N.; Schwartz, S.E. [Department of Applied Science, Brookhaven National Laboratory, Upton, New York (United States)] [Department of Applied Science, Brookhaven National Laboratory, Upton, New York (United States); Michalsky, J.J. [Atmospheric Sciences Research Center, State University of New York at Albany (United States)] [Atmospheric Sciences Research Center, State University of New York at Albany (United States); Anderson, G.P. [Phillips Laboratory/Geophysics Directorate, Hanscom Air Force Base, Massachusetts (United States)] [Phillips Laboratory/Geophysics Directorate, Hanscom Air Force Base, Massachusetts (United States); Ferrare, R.A. [Hughes STX Corporation, Lanham, Maryland (United States)] [Hughes STX Corporation, Lanham, Maryland (United States); Holben, B.N. [NASA Goddard Space Flight Center, Greenbelt, Maryland (United States)] [NASA Goddard Space Flight Center, Greenbelt, Maryland (United States); Ten Brink, H.M. [Netherlands Energy Research Foundation, ECN, Petten (Netherlands)] [Netherlands Energy Research Foundation, ECN, Petten (Netherlands)

1997-12-01T23:59:59.000Z

176

Models for estimating saturation flow and maximum demand at closely spaced intersections  

E-Print Network (OSTI)

This thesis describes models for saturation flow and maximum demand at closely spaced intersections. The effects of queue interaction between these two intersections are taken into account in both models. The saturation flow model is based on the Prosser-Dunne model. The presence of queues in the inter-signal link causes a reduction in saturation flow and capacity. The analytical model on which the methodology is based assumes that upstream movements discharge at their normal saturation flow rate or arrival flow rate until the downstream queue extends back to the upstream intersection and blocking occurs. The model calculates the capacities of movements at the upstream intersection as a reduced effective green period. The model can be used to estimate capacities at paired intersections with multiple upstream and downstream green periods. The results from the model are compared with TRAF-NETSIM simulation results. The results of this comparison show that the model predicts throughput better when movements at the upstream intersection (for which throughput are being calculated) are oversaturated. This thesis recommends that the capacity of movements be calculated using the reduced effective green period rather than the reduced saturation flow. The second model developed as a part of this research predicts the maximum demand at the downstream intersection. The through movement at the upstream intersection is assumed to be oversaturated and cross street movements are not considered. The analysis shows that either the upstream capacity, downstream capacity or storage capacity becomes critical and influences the maximum demand depending on the different combinations of upstream and downstream green and storage spacing considered. The demand from the models is used as input to the 1994 Highway Capacity Manual (HCM) delay equation and the delay compared with that simulated by TRAF-NETSIM for various cases. The comparison shows that the models developed predict values that compare favorably with results from TRAF NETSIM. It is recommended that the models be used to compute the upper bound for the HCM delay equation for the cases analyzed.

Nanduri, Sreelata

1995-01-01T23:59:59.000Z

177

Hierarchical set of models for estimating the effects of air pollution on vegetation  

DOE Green Energy (OSTI)

Three models have been developed to estimate the effects of air pollutants on vegetation at the photosynthetic process (PHOTO), plant (GROWl), and community (SILVA) levels of resolution. PHOTO simulates the enhancement of photosynthesis at low H/sub 2/S levels, depression of photosynthesis at high H/sub 2/S levels, and the threshold effects for sulfur pollutants. GROWl simulates the growth and development of a plant during a growing season. GROWl has been used to assess the effects on sugar beets of geothermal energy development in the Imperial Valley, California. SILVA is a community-level model simulating the effects of SO/sub 2/ on growth, species composition, and succession, for the mixed conifer forest types of the Sierra Nevada, California.

Kercher, J.R.; Axelrod, M.C.; Bingham, G.E.

1981-05-26T23:59:59.000Z

178

Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error Paul E. Johnson and David G . Long  

E-Print Network (OSTI)

Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error -Wind I Paul E. Johnson (which relates the wind to the normalized radar cross section, NRCS, of the ocean surface) is uncertainty in the NRCS for given wind conditions. When the estimated variability is in- cluded in the maximum likelihood

Long, David G.

179

A Simplified Diagnostic Model of Orographic Rainfall for Enhancing Satellite-Based Rainfall Estimates in Data-Poor Regions  

Science Conference Proceedings (OSTI)

An extension of Sinclair's diagnostic model of orographic precipitation (“VDEL”) is developed for use in data-poor regions to enhance rainfall estimates. This extension (VDELB) combines a 2D linearized internal gravity wave calculation with the ...

Chris Funk; Joel Michaelsen

2004-10-01T23:59:59.000Z

180

Model-Based Estimation of Dynamic Effect on Twenty-First-Century Precipitation for Swiss River Basins  

Science Conference Proceedings (OSTI)

Projections of twenty-first-century precipitation for seven Swiss river basins are generated by linking high-resolution (2 km × 2 km) radar-estimated precipitation observations to a global climate model (GCM) via synoptic weather patterns. The use ...

James V. Rudolph; Katja Friedrich; Urs Germann

2012-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

The North Atlantic Circulation in the Early 1980s-An Estimate from Inversion of a Finite-Difference Model  

Science Conference Proceedings (OSTI)

A finite-difference model of the North Atlantic is constructed for the purpose Of making an estimate of the circulation through an inverse calculation. The database is eclectic, and includes hydrography, oxygen, nutrients current meter and float ...

Françoise Martel; Carl Wunsch

1993-05-01T23:59:59.000Z

182

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

Science Conference Proceedings (OSTI)

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

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

2012-12-01T23:59:59.000Z

183

A Diagnostic Model for Mixed Layer Depth Estimation with Application to Ocean Station P in the Northeast Pacific  

Science Conference Proceedings (OSTI)

This paper presents a simple diagnostic model for estimating mixed layer depth based solely on the one-dimensional heat balance equation, the surface heat flux, and the sea surface temperature. The surface fluxes drive heating or cooling of the ...

Richard E. Thomson; Isaac V. Fine

2009-06-01T23:59:59.000Z

184

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

Science Conference Proceedings (OSTI)

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

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

2013-01-01T23:59:59.000Z

185

A Cautionary Note on the Use of Nonparametric Bootstrap for Estimating Uncertainties in Extreme-Value Models  

Science Conference Proceedings (OSTI)

The parametric and nonparametric approaches to the bootstrap are compared as to their performance in estimating uncertainties in extreme-value models. Simulation experiments make use of several combinations of true and fitted probability ...

Jan Kyselý

2008-12-01T23:59:59.000Z

186

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

Science Conference Proceedings (OSTI)

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

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

2007-06-01T23:59:59.000Z

187

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

Science Conference Proceedings (OSTI)

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

Yanqiu Zhu; I. M. Navon

1999-07-01T23:59:59.000Z

188

P.: Quick simulation methods for estimating the unreliability of regenerative models of large highly reliable systems  

E-Print Network (OSTI)

We investigate fast simulation techniques for estimating the unreliability in large Markovian models of highly reliable systems for which analytical0numerical techniques are difficult to apply+ We first show mathematically that for “small ” time horizons, the relative simulation error, when using the importance sampling techniques of failure biasing and forcing, remains bounded as component failure rates tend to zero+ This is in contrast to naive simulation where the relative error tends to infinity+ For “large ” time horizons where these techniques are not efficient, we use the approach of first bounding the unreliability in terms of regenerative-cycle-based measures and then estimating the regenerative-cycle-based measures using importance sampling; the latter can be done very efficiently+ We first use bounds developed in the literature for the asymptotic distribution of the time to hitting a rare set in regenerative systems+ However, these bounds are “close ” to the unreliability only for a certain range of time horizons+ We develop new bounds that make use of the special structure of the systems that we consider and are “close ” to the unreliability for a much wider range of time horizons+ These techniques extend to non-Markovian, highly reliable systems as long as the regenerative structure is preserved+ © 2004 Cambridge University Press 0269-9648004 $16+00 339340 M. K. Nakayama and P. Shahabuddin 1.

Marvin K. Nakayama; Perwez Shahabuddin

2004-01-01T23:59:59.000Z

189

Efficient Bayesian estimation of Markov model transition matrices with given stationary distribution  

E-Print Network (OSTI)

Direct simulation of biomolecular dynamics in thermal equilibrium is challenging due to the metastable nature of conformation dynamics and the computational cost of molecular dynamics. Biased or enhanced sampling methods may improve the convergence of expectation values of equilibrium probabilities and expectation values of stationary quantities significantly. Unfortunately the convergence of dynamic observables such as correlation functions or timescales of conformational transitions relies on direct equilibrium simulations. Markov state models are well suited to describe both, stationary properties and properties of slow dynamical processes of a molecular system, in terms of a transition matrix for a jump process on a suitable discretiza- tion of continuous conformation space. Here, we introduce statistical estimation methods that allow a priori knowledge of equilibrium probabilities to be incorporated into the estimation of dynamical observables. Both, maximum likelihood methods and an improved Monte Carlo sampling method for reversible transition ma- trices with fixed stationary distribution are given. The sampling approach is applied to a toy example as well as to simulations of the MR121-GSGS-W peptide, and is demonstrated to converge much more rapidly than a previous approach in [F. Noe, J. Chem. Phys. 128, 244103 (2008)

Benjamin Trendelkamp-Schroer; Frank Noe

2013-01-10T23:59:59.000Z

190

Comparative Analysis of the Cost Models Used for Estimating Renovation Costs of Universities in Texas  

E-Print Network (OSTI)

Facility managers use various cost models and techniques to estimate the cost of renovating a building and to secure the required funds needed for building renovation. A literature search indicates that these techniques offer both advantages and disadvantages that need to be studied and analyzed. Descriptive statistical methods and qualitative analysis are employed to identify and compare techniques used by facility managers to calculate the expected renovation costs of a building. The cost models presently used to predict the cost and accumulate the budget required for renovation of a building were determined through interviews with ten Texas-based university facilities managers. The data and information gathered were analyzed and compared. Analysis of results suggests that traditional methods like Floor Area Method (FAM) is the most accurate, less time consuming, easy to use as well as convenient for data collection. Case-Based Reasoning (CBR), though not as widely used as FAM, is known to facilities managers. This is due to the fact that, if a new type of project needs to be renovated, and the data for a similar project is not available with the facilities manager, a completely new database needs to be created. This issue can be resolved by creating a common forum where data for all types of project could be made available for the facilities managers. Methods such as regression analysis and neural networks are known to give more accurate results. However, of the ten interviewees, only one was aware of these new models but did not use them as they would be helpful for very large projects and they would need expertise. Thus such models should be simplified to not only give accurate results in less time but also be easy to use. These results may allow us to discuss changes needed within the various cost models.

Faquih, Yaquta Fakhruddin

2010-08-01T23:59:59.000Z

191

Comparison of Model Estimated and Measured Direct-Normal Solar Irradiance  

E-Print Network (OSTI)

Direct-normal solar irradiance (DNSI), the total energy in the solar spectrum incident in unit time on a unit area at the earth's surface perpendicular to the direction to the Sun, depends only on atmospheric extinction of solar energy without regard to the details of the extinction - whether absorption or scattering. Here we report a set of closure experiments performed in north-central Oklahoma in April 1996, under cloud-free conditions, wherein measured atmospheric composition and aerosol optical thickness are input to a radiative transfer model, MODTRAN-3, to estimate DNSI, which is then compared with measured values obtained with normal incidence pyrheliometers and absolute cavity radiometers. Uncertainty in aerosol optical thickness (AOT) dominates the uncertainty in DNSI calculation. AOT measured by an independently calibrated sunphotometer and a rotating Direct-Normal Solar Irradiance - A Closure Experiment, Halthore et al. 2 shadow-band radiometer agree to within the uncerta...

Rangasayi Halthore; Schwartz; S. E.; Michalsky; J. J.; Anderson; G. P.; Gail P. Anderson; Ferrare R. A.; ten Brink H. M; Holben B. N.; Harry M. Ten Brink

1997-01-01T23:59:59.000Z

192

Depiction of Upper/Lower Vortex Interaction Associated with Extratropical Cyclogenesis  

Science Conference Proceedings (OSTI)

Using observed data and model simulations, an attempt is made to verify that baroclinic instability can be viewed as an interaction and mutual amplification of a pair of upper- and lower-tropospheric potential vorticity (PV) perturbations. This ...

Rainer Bleck

1990-03-01T23:59:59.000Z

193

PARTICLE TRACKING ANALYSIS & ANIMATIONS DEPICTING MOVEMENT OF THE CARBON TETRACHLORIDE PLUME REPORT  

SciTech Connect

The purpose of the hydraulic particle tracking animation files is to show where carbon tetrachloride that reached groundwater from the known discharge facilities would have been likely to travel fin the groundwater, and from where carbon tetrachloride presently observed in the aquifer likely would have started. These analyses support the 200-PW-1 Operable Unit activity to identify sources of carbon tetrachloride currently observed in groundwater or locations where carbon tetrachloride may have entered the groundwater. The animation files show travel paths (both forward and backward in time) for hypothetical particles of carbon tetrachloride carried in the groundwater. The travel paths represent the movement of the carbon tetrachloride at the average groundwater velocity. The particles only represent an estimation of where the carbon tetrachloride would be expected to be (or have come from) and do not indicate or imply what the concentration in the groundwater would be.

MCMAHON, W.J.; ROHAY, V.J.

2006-11-02T23:59:59.000Z

194

A Model for Estimating Demand for Irrigation Water on the Texas High Plains  

E-Print Network (OSTI)

With rapidly changing conditions in production agriculture, the need for highly flexible and quickly applicable methods of analysis is emphasized. The purpose of this study was to develop such a model for a homogeneous production region in the Texas High Plains. A linear programming model was constructed whereby crop or input prices are readily adjustable. In addition, limitations on quantities of inputs available can easily be evaluated. The model contains cotton, grain sorghum, corn, wheat and soybeans. Inputs that can be evaluated include irrigation water, natural gas, diesel, nitrogen fertilizer and herbicides. The primary focus of this work was to estimate the demand for irrigation water in the study area. The model was applied using alternative crop prices and input prices. Assuming average crop prices, current input prices and only variable costs of production, as the price of water was increased wheat shifted from irrigated to dryland production, then grain sorghum, cotton, corn and soybeans, in that order. The price of water was $71.75 per acre foot plus current pumping cost when all land shifted to dryland production. The same analysis, except variable and fixed costs both included, gave similar results relative to the sequence of crops that shift to dryland production as the price of water was increased. However, the shifts occurred at much lower water prices; i.e., at $24.47 per acre foot plus current pumping costs, all land had shifted to dryland production. This suggests that over the long run, irrigation in the Texas High Plains is quite sensitive to the price of energy used in pumping water. Further, there are strong implications relative to farmer's "ability to pay" for water imported to the High Plains from other regions. In this report, several scenarios including low, high and average crop prices and average and high input prices were evaluated.

Condra, G. D.; Lacewell, R. D.; Sprott, J. M.; Adams, B. M.

1975-05-01T23:59:59.000Z

195

Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects  

Science Conference Proceedings (OSTI)

Estimation of generalized linear mixed models (GLMMs) with non-nested random effects structures requires the approximation of high-dimensional integrals. Many existing methods are tailored to the low-dimensional integrals produced by nested designs. ... Keywords: EM algorithm, Fully exponential Laplace approximation, Joint model, Multiple membership, Multivariate, Sparse matrix

Andrew T. Karl, Yan Yang, Sharon L. Lohr

2014-05-01T23:59:59.000Z

196

Variation in Estimated Ozone-Related Health Impacts of Climate Change due to Modeling Choices and Assumptions  

SciTech Connect

Future climate change may cause air quality degradation via climate-induced changes in meteorology, atmospheric chemistry, and emissions into the air. Few studies have explicitly modeled the potential relationships between climate change, air quality, and human health, and fewer still have investigated the sensitivity of estimates to the underlying modeling choices.

Post, Ellen S.; Grambsch, A.; Weaver, C. P.; Morefield, Philip; Huang, Jin; Leung, Lai-Yung R.; Nolte, Christopher G.; Adams, P. J.; Liang, Xin-Zhong; Zhu, J.; Mahoney, Hardee

2012-11-01T23:59:59.000Z

197

K-distribution fading models for Bayesian estimation of an underwater acoustic channel  

E-Print Network (OSTI)

Current underwater acoustic channel estimation techniques generally apply linear MMSE estimation. This approach is optimal in a mean square error sense under the assumption that the impulse response fluctuations are well ...

Laferriere, Alison Beth

2011-01-01T23:59:59.000Z

198

Regional load curve models: specification and estimation of the DRI Model. Final report. [Forecasts of electric loads in 32 US regions  

SciTech Connect

The DRI Model of hourly load curves is developed in this report. The model is capable of producing long-term forecasts for 32 US regions. These regions were created by aggregating hourly system load data from 146 electric utilities. These utilities supply approximately 95% of all electricity consumed in the continental US. The model forecasts electricity demands for each hour of the year for each of the 32 regions. Model output includes forecasts of peak demands, megawatt hour demands, load factors, and load duration curves. The DRI Model is estimated in two stages. In the first stage, for each region and month, hourly electricity demands are parameterized into load components representing the effects of lifestyles and weather on regional loads through a time-series model. In the second stage, the variation in these parameterized load components across months and regions is modeled econometrically in terms of energy prices, income levels, appliance saturation rates, and other variables. The second-stage models are essentially models of electricity demand which are estimated using estimated first-stage parameters as dependent variables, instead of observed demands. Regional price and income demand elasticities are implied by the second-stage models. Moreover, since the dependent variables refer to particular hours of the day, these estimated elasticities are hour-specific. (Since prices did not vary over the day in years when hourly load data were available, hour-to-hour, cross-price elasticities were not estimated.) Integrated system hourly load forecasts are obtained combining the influences of individual customer classes. Finally, approximate customer class hourly load shapes can be produced for each region, though these series may be useful only in research endeavors since they lack the precision available through survey methods.

Platt, H.D.; Einhorn, M.A.; Ignelzi, P.C.; Poirier, D.J.

1981-01-01T23:59:59.000Z

199

Prognostic Factors Depicting Disease-Specific Survival in Parotid-Gland Tumors  

SciTech Connect

Purpose: To identify significant prognostic factors that can be used in clinical decision-making with regard to parotid cancer, which is characterized by a complex and diverse group of tumors with variable outcomes. Methods and Materials: A historical cohort of 184 patients with parotid-gland malignancy, who had been registered in the Province of Manitoba from 1970 to 2003, was examined. Survival analysis was performed using Kaplan-Meier curves and a log-rank test for comparing subgroups. The independent effect of factors that predicted survival at the bivariate level was determined using a Cox proportional hazard model. Results: The mean age at presentation was 62 years. The mean follow-up was 64 months. Absolute and disease-specific survival at 5 years was 41.70% and 57.94%, respectively. Survival for Stages I-IV at 5 years was 85.35%, 76.9%, 56.1%, and 8.4%, respectively (p < 0.0001). Factors with an independent effect on survival (p < 0.05) included age, tumor size, local invasion (Stages T4 vs. T1), and distant metastasis at presentation, tumor differentiation, and treatment. Adjuvant radiotherapy vs. surgery alone reduced the risk of death from disease at 5 years by 50% (hazard ratio [HR], 0.5; 95% confidence interval, 0.228-0.995; p = 0.0486). Conclusions: Despite the variety of malignant parotid tumors, easily identifiable prognostic indicators such as advanced age, tumor size, local invasion, and tumor differentiation have a significant impact on outcome. Patients with adverse prognostic factors benefit from adjuvant radiotherapy. The threshold for the use of adjuvant radiotherapy in managing parotid malignancy should be low.

Koul, Rashmi [Department of Radiation Oncology, CancerCare Manitoba, Winnipeg, Manitoba (Canada); Dubey, Arbind [Department of Radiation Oncology, CancerCare Manitoba, Winnipeg, Manitoba (Canada); Butler, James [Department of Radiation Oncology, CancerCare Manitoba, Winnipeg, Manitoba (Canada); Cooke, Andrew L. [Department of Radiation Oncology, CancerCare Manitoba, Winnipeg, Manitoba (Canada); Abdoh, Ahmed [Department of Surgical Oncology, CancerCare Manitoba, Winnipeg, Manitoba (Canada); Nason, Richard [Department of Surgical Oncology, CancerCare Manitoba, Winnipeg, Manitoba (Canada)]. E-mail: nasonrw@cc.umanitoba.ca

2007-07-01T23:59:59.000Z

200

Estimates of the Global Water Budget and Its Annual Cycle Using Observational and Model Data  

Science Conference Proceedings (OSTI)

A brief review is given of research in the Climate Analysis Section at NCAR on the water cycle. Results are used to provide a new estimate of the global hydrological cycle for long-term annual means that includes estimates of the main reservoirs ...

Kevin E. Trenberth; Lesley Smith; Taotao Qian; Aiguo Dai; John Fasullo

2007-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

B-Spline Image Model for Energy Minimization-Based Optical Flow Estimation  

Science Conference Proceedings (OSTI)

Robust estimation of the optical flow is addressed through a multiresolution energy minimization. It involves repeated evaluation of spatial and temporal gradients of image intensity which rely usually on bilinear interpolation and image filtering. We ... Keywords: Optical flow (OF), robust estimation, splines

G. Le Besnerais; F. Champagnat

2006-10-01T23:59:59.000Z

202

Three-dimensional image-based modelling of linear features for plant biomass estimation  

Science Conference Proceedings (OSTI)

Biomass estimation is important for biological research and agricultural management. Low-cost two-dimensional 2D computer vision has been applied to non-contact biomass estimation. However, the rapid increase of computing power has enabled the use of ...

RanNisim Lati, Alex Manevich, Sagi Filin

2013-09-01T23:59:59.000Z

203

Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration  

Science Conference Proceedings (OSTI)

Vegetation albedo is a critical component of the Earth s climate system, yet efforts to evaluate and improve albedo parameterizations in climate models have lagged relative to other aspects of model development. Here, we calculated growing season albedos for deciduous and evergreen forests, crops, and grasslands based on over 40 site-years of data from the AmeriFlux network and compared them with estimates presently used in the land surface formulations of a variety of climate models. Generally, the albedo estimates used in land surface models agreed well with this data compilation. However, a variety of models using fixed seasonal estimates of albedo overestimated the growing season albedo of northerly evergreen trees. In contrast, climatemodels that rely on a common two-stream albedo submodel provided accurate predictions of boreal needle-leaf evergreen albedo but overestimated grassland albedos. Inverse analysis showed that parameters of the two-stream model were highly correlated. Consistent with recent observations based on remotely sensed albedo, the AmeriFlux dataset demonstrated a tight linear relationship between canopy albedo and foliage nitrogen concentration (for forest vegetation: albedo 50.0110.071%N, r250.91; forests, grassland, and maize: albedo50.0210.067%N, r250.80). However, this relationship saturated at the higher nitrogen concentrations displayed by soybean foliage. We developed similar relationships between a foliar parameter used in the two-stream albedo model and foliage nitrogen concentration. These nitrogen-based relationships can serve as the basis for a new approach to land surface albedo modeling that simplifies albedo estimation while providing a link to other important ecosystem processes.

Hollinger, D. [USDA Forest Service; Ollinger, S. V. [University of Hew Hampshire; Richardson, A. D. [University of Hew Hampshire; Martin, M. E. [University of New Hampshire; Meyers, T. P. [NOAA ATDD; Dail, D. B. [University of Maine; Scott, N. A. [Queens University, Kingston, ON, Canada; Arkebauer, T. J. [University of Nebraska, Lincoln; Baldocchi, D. D. [University of California, Berkeley; Clark, K. L. [USDA Forest Service; Curtis, Peter [Ohio State University, The, Columbus; Davis, K. J. [Pennsylvania State University; Desai, Desai Ankur R. [University of Wisconsin, Madison; Dragoni, Danilo [Indiana University; Goulden, M. L. [University of California, Irvine; Gu, Lianhong [ORNL; Katul, G. G. [Duke University; Pallardy, Stephen G. [University of Missouri; Pawu, K. T. [University of California, Davis; Schmid, H. P. [IFU, FZK IMK, Institute of Meteorology & Climate, Garmisch Partenkirchen, Germany; Stoy, P. C. [University of Edinburgh; Suyker, A. E. [University of Nebraska, Lincoln; Verma, Shashi [University of Nebraska

2009-02-01T23:59:59.000Z

204

Estimating market penetration of steam, hot water and chilled water in commercial sector using a new econometric model  

SciTech Connect

For the first time in the public domain, we have estimated the energy consumption and expenditures of district steam, hot water, and chilled water. Specifically, the combined energy consumption and expenditures of steam, hot water, and chilled water in 1989 were approximately 800 trillion Btu and 7 billion dollars, respectively. The purpose of this paper is to introduce a new model developed at Argonne National Laboratory (ANL) for estimating market penetration of steam, hot water, and chilled water systems in commercial buildings over the next 20 years. This research sponsored by the US Department of Energy (DOE) used the 1989 Commercial Building Energy Consumption Surveys (CBECS) to provide information on energy consumption and expenditures and related factors in about 6000 buildings. A general linear model to estimated parameters for each of the three equations for steam, hot water, and chilled water demand in the buildings. A logarithmic transformation was made for the dependent variable and most of the explanatory variables. The model provides estimates of building steam, hot water, and chilled water consumption and expenditures between now and the year 2010. This model should be of interest to policymakers, researchers, and market participants involved with planning and implementing community-based energy-conserving and environmentally beneficial energy systems.

Teotia, A.P.S.; Karvelas, D.E.; Daniels, E.J.; Anderson, J.L.

1993-08-01T23:59:59.000Z

205

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

Science Conference Proceedings (OSTI)

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

Ping-Hung Hsieh

2002-08-01T23:59:59.000Z

206

Mod`ele Probit Multivarie Ordinal Dynamique. Application `a l'estimation de la Biomasse d'un  

E-Print Network (OSTI)

Mod`ele Probit Multivari´e Ordinal Dynamique. Application `a l'estimation de la Biomasse d Montpellier Cedex 5, France R´esum´e La biomasse d'un individu ou d'un peuplement est difficilement mesurable- ment, permettent d'´evaluer les biomasses pour diff´erents compartiments (feuille

Paris-Sud XI, Université de

207

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

E-Print Network (OSTI)

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

Yildirim, Sinan

2013-06-11T23:59:59.000Z

208

Software Cost Estimation  

E-Print Network (OSTI)

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

Hareton Leung Zhang; Zhang Fan

2002-01-01T23:59:59.000Z

209

A conceptual framework to energy estimation in buildings using agent based modeling  

Science Conference Proceedings (OSTI)

Actual energy consumption in buildings is typically different from predictions during the design phase. While differences in occupant energy usage characteristics play an important role in this variation, actual energy estimation software do not account ...

Elie Azar; Carol Menassa

2010-12-01T23:59:59.000Z

210

A Model for the Estimation of Global Solar Radiation Using Fuzzy Random Variables  

Science Conference Proceedings (OSTI)

In this paper, the concept of fuzzy random variables is applied for the estimation of global solar radiation on a surface at ground level. The cloudiness index is defined as the fraction of extraterrestrial radiation that reaches the earth's ...

Nalin K. Gautam; N. D. Kaushika

2002-12-01T23:59:59.000Z

211

Efficient Hydraulic State Estimation Technique Using Reduced Models of Urban Water Networks  

E-Print Network (OSTI)

This paper describes and demonstrates an efficient method for online hydraulic state estimation in urban water networks. The proposed method employs an online predictor-corrector (PC) procedure for forecasting future water ...

Preis, Ami

212

ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC2)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2012-05-14T23:59:59.000Z

213

ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2012-05-14T23:59:59.000Z

214

ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2012-05-14T23:59:59.000Z

215

ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-ATM NSAC1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2012-05-14T23:59:59.000Z

216

ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2012-05-14T23:59:59.000Z

217

Analyses of Global Monthly Precipitation Using Gauge Observations, Satellite Estimates, and Numerical Model Predictions  

Science Conference Proceedings (OSTI)

An algorithm is developed to construct global gridded fields of monthly precipitation by merging estimates from five sources of information with different characteristics, including gauge-based monthly analyses from the Global Precipitation ...

Pingping Xie; Phillip A. Arkin

1996-04-01T23:59:59.000Z

218

ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie; ,

2013-12-26T23:59:59.000Z

219

ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie; ,

2013-12-27T23:59:59.000Z

220

ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-ATM NSAC1 V4)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie; ,

2013-12-26T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie; ,

2013-12-26T23:59:59.000Z

222

ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC2)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie; ,

2013-12-26T23:59:59.000Z

223

Spherical Nonparametric Estimators Applied to the UGAMP Model Integration for AMIP  

Science Conference Proceedings (OSTI)

The aim of this paper is essentially twofold: first, to describe the use of spherical nonparametric estimators for determining statistical diagnostic fields from ensembles of feature tracks on a global domain, and second, to report the ...

K. I. Hodges

1996-12-01T23:59:59.000Z

224

ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-CLDRAD SGPC1)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

225

ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-CLDRAD SGPC1)  

DOE Data Explorer (OSTI)

The ARM CMBE-CLDRAD [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected cloud and radiation relevant quantities from ACRF observations

Renata McCoy; Shaocheng Xie

226

ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-CLDRAD NSAC1 V2.1)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

227

ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC2)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

228

ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC3)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

229

ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC2 V2.1)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

230

ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-CLDRAD NSAC1)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

231

ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC1)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

232

ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

233

ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-ATM SGPC1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2011-12-13T23:59:59.000Z

234

ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2010-10-05T23:59:59.000Z

235

ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-ATM NSAC1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2010-10-05T23:59:59.000Z

236

ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC2)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2012-05-14T23:59:59.000Z

237

ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC3)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

238

ARM Climate Modeling Best Estimate From Nauru (ARMBE-ATM TWPC2)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

239

ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

240

ARM Climate Modeling Best Estimate From Darwin, AU (ARMBE-ATM TWPC2)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

Note: This page contains sample records for the topic "depicting model estimates" 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

ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-ATM NSAC1)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

242

ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC3)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2012-05-14T23:59:59.000Z

243

ARM Climate Modeling Best Estimate From Manus Island, PNG (ARMBE-ATM TWPC1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2010-10-05T23:59:59.000Z

244

ARM Climate Modeling Best Estimate From Nauru (ARMBE-ATM TWPC2)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2010-10-05T23:59:59.000Z

245

ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2012-05-14T23:59:59.000Z

246

ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-CLDRAD NSAC1 V2.1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2010-08-11T23:59:59.000Z

247

ARM Climate Modeling Best Estimate from Nauru (ARMBE-CLDRAD TWPC2 V2.1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2010-08-11T23:59:59.000Z

248

ARM Climate Modeling Best Estimate Lamont, OK (ARMBE-CLDRAD SGPC1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2012-05-14T23:59:59.000Z

249

ARM Climate Modeling Best Estimate Barrow, AK (ARMBE-CLDRAD NSAC1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2012-05-14T23:59:59.000Z

250

A Simple All Weather Model to Estimate Ultraviolet Solar Radiation (290–385 nm)  

Science Conference Proceedings (OSTI)

A new expression to estimate the solar ultraviolet irradiance from parameters usually available in radiometric networks is presented. The authors have analyzed the relation between solar ultraviolet global irradiance (290–385 nm), UV, and ...

I. Foyo-Moreno; J. Vida; L. Alados-Arboledas

1999-07-01T23:59:59.000Z

251

Load Modeling and State Estimation Methods for Power Distribution Systems: Final Report  

SciTech Connect

The project objective was to provide robust state estimation for distribution systems, comparable to what has been available on transmission systems for decades. This project used an algorithm called Branch Current State Estimation (BCSE), which is more effective than classical methods because it decouples the three phases of a distribution system, and uses branch current instead of node voltage as a state variable, which is a better match to current measurement.

Tom McDermott

2010-05-07T23:59:59.000Z

252

Investigation of the MTC noise estimation with a coupled neutronic/thermal-hydraulic dedicated model - 'Closing the loop'  

Science Conference Proceedings (OSTI)

This paper investigates the reliability of different noise estimators aimed at determining the Moderator Temperature Coefficient (MTC) of reactivity in Pressurized Water Reactors. By monitoring the inherent fluctuations in the neutron flux and moderator temperature, an on-line monitoring of the MTC without perturbing reactor operation is possible. In order to get an accurate estimation of the MTC by noise analysis, the point-kinetic component of the neutron noise and the core-averaged moderator temperature noise have to be used. Because of the scarcity of the in-core instrumentation, the determination of these quantities is difficult, and several possibilities thus exist for estimating the MTC by noise analysis. Furthermore, the effect of feedback has to be negligible at the frequency chosen for estimating the MTC in order to get a proper determination of the MTC. By using an integrated neutronic/thermal- hydraulic model specifically developed for estimating the three-dimensional distributions of the fluctuations in neutron flux, moderator properties, and fuel temperature, different approaches for estimating the MTC by noise analysis can be tested individually. It is demonstrated that a reliable MTC estimation can only be provided if the core is equipped with a sufficient number of both neutron detectors and temperature sensors, i.e. if the core contain in-core detectors monitoring both the axial and radial distributions of the fluctuations in neutron flux and moderator temperature. It is further proven that the effect of feedback is negligible for frequencies higher than 0.1 Hz, and thus the MTC noise estimations have to be performed at higher frequencies. (authors)

Demaziere, C.; Larsson, V. [Div. of Nuclear Engineering, Dept. of Applied Physics, Chalmers Univ. of Technology, SE-41296 Gothenburg (Sweden)

2012-07-01T23:59:59.000Z

253

Estimating Policy-Driven Greenhouse Gas Emissions Trajectories in California: The California Greenhouse Gas Inventory Spreadsheet (GHGIS) Model  

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

Estimating Policy-Driven Greenhouse Estimating Policy-Driven Greenhouse Gas Emissions Trajectories in California: The California Greenhouse Gas Inventory Spreadsheet (GHGIS) Model Jeffery B. Greenblatt Energy Analysis and Environmental Impacts Department Environmental Energy Technologies Division Lawrence Berkeley National Laboratory Berkeley, CA 94720 November 2013 This work was supported by the Research Division, California Air Resources Board under ARB Agreement No. 12-329. LBNL-6451E DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of

254

Hurricane Loss Estimation Models: Opportunities for Improving the State of the Art  

Science Conference Proceedings (OSTI)

The results of hurricane loss models are used regularly for multibillion dollar decisions in the insurance and financial services industries. These models are proprietary, and this “black box” nature hinders analysis. The proprietary models ...

Charles C. Watson Jr.; Mark E. Johnson

2004-11-01T23:59:59.000Z

255

Estimating Model-Error Covariances for Application to Atmospheric Data Assimilation  

Science Conference Proceedings (OSTI)

Forecast-error statistics have traditionally been used to investigate model performance and to calculate analysis weights for atmospheric data assimilation. Forecast error has two components: the model error, caused by model imperfections, and ...

Roger Daley

1992-08-01T23:59:59.000Z

256

An Efficient Stochastic Bayesian Approach to Optimal Parameter and Uncertainty Estimation for Climate Model Predictions  

Science Conference Proceedings (OSTI)

One source of uncertainty for climate model predictions arises from the fact that climate models have been optimized to reproduce observational means. To quantify the uncertainty resulting from a realistic range of model configurations, it is ...

Charles Jackson; Mrinal K. Sen; Paul L. Stoffa

2004-07-01T23:59:59.000Z

257

Dynamic model and estimation of the future eutrophication for the Lake Prespa  

Science Conference Proceedings (OSTI)

This paper presents a new computing analysis, based on Matlab Simulink, how to build a dynamic model for aquatic surface water bodies in our case the Lake Prespa. The dynamic model, which is more complex than the other models, it involves equation that ... Keywords: Lake Prespa, dynamic model, eutrophication, phosphorus concentration, scenario ca, scenario cc

Kosta Mitreski; Andreja Naumoski

2007-05-01T23:59:59.000Z

258

Bread Basket: a gaming model for estimating home-energy costs  

SciTech Connect

An instructional manual for answering the twenty variables on COLORADO ENERGY's computerized program estimating home energy costs. The program will generate home-energy cost estimates based on individual household data, such as total square footage, number of windows and doors, number and variety of appliances, heating system design, etc., and will print out detailed costs, showing the percentages of the total household budget that energy costs will amount to over a twenty-year span. Using the program, homeowners and policymakers alike can predict the effects of rising energy prices on total spending by Colorado households.

1982-01-01T23:59:59.000Z

259

A multi-sensor based occupancy estimation model for supporting demand driven HVAC operations  

Science Conference Proceedings (OSTI)

Heating, ventilation, and air conditioning (HVAC) is a major energy consumer in buildings, and implementing demand driven HVAC operations is a way to reduce HVAC related energy consumption. This relies on the availability of occupancy information, which ... Keywords: HVAC, building energy consumption, demand driven, non-intrusive sensor, occupancy estimation

Zheng Yang; Nan Li; Burcin Becerik-Gerber; Michael Orosz

2012-03-01T23:59:59.000Z

260

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

Science Conference Proceedings (OSTI)

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

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

2011-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

Estimating Probabilities of Hurricane Wind Speeds Using a Large-Scale Empirical Model  

Science Conference Proceedings (OSTI)

A new method is presented for estimating the probability of exceeding a given wind speed in 1 year at any given location in the Atlantic tropical cyclone basin. The method is especially appropriate for wind speeds with return periods of 100 years ...

R. W. R. Darling

1991-10-01T23:59:59.000Z

262

Evaluation of the Effective Moisture Penetration Depth Model for Estimating Moisture Buffering in Buildings  

SciTech Connect

This study examines the effective moisture penetration depth (EMPD) model, and its suitability for building simulations. The EMPD model is a compromise between the simple, inaccurate effective capacitance approach and the complex, yet accurate, finite-difference approach. Two formulations of the EMPD model were examined, including the model used in the EnergyPlus building simulation software. An error in the EMPD model we uncovered was fixed with the release of EnergyPlus version 7.2, and the EMPD model in earlier versions of EnergyPlus should not be used.

Woods, J.; Winkler, J.; Christensen, D.

2013-01-01T23:59:59.000Z

263

A Model to Estimate the Time of Observation Bias Associated with Monthly Mean Maximum, Minimum and Mean Temperatures for the United States  

Science Conference Proceedings (OSTI)

Hourly data for 79 stations in the United States are used to develop an empirical model which can be used to estimate the time of observation bias associated with different observation schedules. The model is developed for both maximum and ...

Thomas R. Karl; Claude N. Williams Jr.; Pamela J. Young; Wayne M. Wendland

1986-02-01T23:59:59.000Z

264

Developing a Cost Model and Methodology to Estimate Capital Costs for Thermal Energy Storage  

DOE Green Energy (OSTI)

This report provides an update on the previous cost model for thermal energy storage (TES) systems. The update allows NREL to estimate the costs of such systems that are compatible with the higher operating temperatures associated with advanced power cycles. The goal of the Department of Energy (DOE) Solar Energy Technology Program is to develop solar technologies that can make a significant contribution to the United States domestic energy supply. The recent DOE SunShot Initiative sets a very aggressive cost goal to reach a Levelized Cost of Energy (LCOE) of 6 cents/kWh by 2020 with no incentives or credits for all solar-to-electricity technologies.1 As this goal is reached, the share of utility power generation that is provided by renewable energy sources is expected to increase dramatically. Because Concentrating Solar Power (CSP) is currently the only renewable technology that is capable of integrating cost-effective energy storage, it is positioned to play a key role in providing renewable, dispatchable power to utilities as the share of power generation from renewable sources increases. Because of this role, future CSP plants will likely have as much as 15 hours of Thermal Energy Storage (TES) included in their design and operation. As such, the cost and performance of the TES system is critical to meeting the SunShot goal for solar technologies. The cost of electricity from a CSP plant depends strongly on its overall efficiency, which is a product of two components - the collection and conversion efficiencies. The collection efficiency determines the portion of incident solar energy that is captured as high-temperature thermal energy. The conversion efficiency determines the portion of thermal energy that is converted to electricity. The operating temperature at which the overall efficiency reaches its maximum depends on many factors, including material properties of the CSP plant components. Increasing the operating temperature of the power generation system leads to higher thermal-to-electric conversion efficiency. However, in a CSP system, higher operating temperature also leads to greater thermal losses. These two effects combine to give an optimal system-level operating temperature that may be less than the upper operating temperature limit of system components. The overall efficiency may be improved by developing materials, power cycles, and system-integration strategies that enable operation at elevated temperature while limiting thermal losses. This is particularly true for the TES system and its components. Meeting the SunShot cost target will require cost and performance improvements in all systems and components within a CSP plant. Solar collector field hardware will need to decrease significantly in cost with no loss in performance and possibly with performance improvements. As higher temperatures are considered for the power block, new working fluids, heat-transfer fluids (HTFs), and storage fluids will all need to be identified to meet these new operating conditions. Figure 1 shows thermodynamic conversion efficiency as a function of temperature for the ideal Carnot cycle and 75% Carnot, which is considered to be the practical efficiency attainable by current power cycles. Current conversion efficiencies for the parabolic trough steam cycle, power tower steam cycle, parabolic dish/Stirling, Ericsson, and air-Brayton/steam Rankine combined cycles are shown at their corresponding operating temperatures. Efficiencies for supercritical steam and carbon dioxide (CO{sub 2}) are also shown for their operating temperature ranges.

Glatzmaier, G.

2011-12-01T23:59:59.000Z

265

The Estimation of Hourly Global Solar Radiation Using a Cloud Cover Model Developed at Blytheville, Arkansas  

Science Conference Proceedings (OSTI)

The lack of a comprehensive solar radiation monitoring network throughout the United States has led to extensive modeling. Some of the models use a measured component, usually the global solar radiation, to predict the other components, direct ...

W. D. Turner; Abdulaziz Mujahid

1984-05-01T23:59:59.000Z

266

Estimating Potential Evaporation from Vegetated Surfaces for Water Management Impact Assessments Using Climate Model Output  

Science Conference Proceedings (OSTI)

River basin managers concerned with maintaining water supplies and mitigating flood risk in the face of climate change are taking outputs from climate models and using them in hydrological models for assessment purposes. While precipitation is the ...

Victoria A. Bell; Nicola Gedney; Alison L. Kay; Roderick N. B. Smith; Richard G. Jones; Robert J. Moore

2011-10-01T23:59:59.000Z

267

Properties of Tropical Cloud Ensembles Estimated Using a Cloud Model and an Observed Updraft Population  

Science Conference Proceedings (OSTI)

A simple cloud model is developed which is designed for both diagnostic studies and mesoscale cumulus parameterization experiments. The cloud model is combined with an observed population of tropical convective updrafts and used to examine the ...

William M. Frank; Charles Cohen

1985-09-01T23:59:59.000Z

268

Estimating the Spatial Distribution of Precipitation in Iceland Using a Linear Model of Orographic Precipitation  

Science Conference Proceedings (OSTI)

A linear model of orographic precipitation that includes airflow dynamics, condensed water advection, and downslope evaporation is adapted for Iceland. The model is driven using coarse-resolution 40-yr reanalysis data from the European Centre for ...

Philippe Crochet; Tómas Jóhannesson; Trausti Jónsson; Oddur Sigurðsson; Helgi Björnsson; Finnur Pálsson; Idar Barstad

2007-12-01T23:59:59.000Z

269

Comparative analysis of models integrating synoptic forecast data into potato late blight risk estimate systems  

Science Conference Proceedings (OSTI)

Determinacy analysis, logistic regression, discriminant analysis and neural network models were compared for their accuracy in 5-day (120h) forecasts of daily potato late blight risk according to a modified-Wallin disease severity model. For 12 locations ... Keywords: Expert systems, Forecasting, Neural network models, Risk mitigation

Kathleen M. Baker; William W. Kirk

2007-05-01T23:59:59.000Z

270

The robust estimation method for a finite mixture of Poisson mixed-effect models  

Science Conference Proceedings (OSTI)

When analyzing clustered count data derived from several latent subpopulations, the finite mixture of the Poisson mixed-effect model is an immediate strategy to model the underlying heterogeneity. Within the generalized linear mixed model framework, ... Keywords: Finite mixture, Minimum Hellinger distance, Non-parametric maximum likelihood, Robustness

Liming Xiang; Kelvin K. W. Yau; Andy H. Lee

2012-06-01T23:59:59.000Z

271

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

E-Print Network (OSTI)

modeling fluid and heat flow in fractured porous media, Soc.fluid and heat flows of multiphase, multicomponent fluid mixtures in porous and fractured media.

Mukhopadhyay, S.

2009-01-01T23:59:59.000Z

272

An adaptive modeling and simulation environment for combined-cycle data reconciliation and degradation estimation.  

E-Print Network (OSTI)

??Performance engineers face the major challenge in modeling and simulation for the after-market power system due to system degradation and measurement errors. Currently, the majority… (more)

Lin, TsungPo

2008-01-01T23:59:59.000Z

273

Stochastic Modelling and 3D Minimum Variance RecursiveEstimation of Image Sequences  

Science Conference Proceedings (OSTI)

In this paper the 3D minimum variance filtering problem is considered. The proposed spatiotemporal filter is derived according to the assumption that the 3D signal can be modelled by an ensemble of smooth 3D gaussian random fields. The resulting ... Keywords: image processing, optimal filtering, stochastic modelling

L. Jetto

1999-07-01T23:59:59.000Z

274

Neuro-fuzzy modeling tools for estimation of torque in Savonius rotor wind turbine  

Science Conference Proceedings (OSTI)

In the present paper, the ability and accuracy of an adaptive neuro-fuzzy inference system (ANFIS) has been investigated for dynamic modeling of wind turbine Savonius rotor. The main objective of this research is to predict torque performance as a function ... Keywords: ANFIS, ANN, BP, FIS, LSE, MSE, Max, Min, Modeling, Prob, Prod, RBF, RMSE, SD, Savonius rotor, Torque

J. Sargolzaei; A. Kianifar

2010-04-01T23:59:59.000Z

275

A New Approach for Firm Value and Default Probability Estimation beyond Merton Models  

Science Conference Proceedings (OSTI)

In this paper we present a new model to assess the firm value and the default probability by using a bivariate contingent claim analysis and copula theory. First we discuss an unfeasible case, given the current derivative market on corporate bonds, which ... Keywords: Bivariate option, Copula, Firm value, G12, G30, G32, No arbitrage, Structural models

Maria Elena Giuli; Dean Fantazzini; Mario Alessandro Maggi

2008-03-01T23:59:59.000Z

276

Mixed source model and its adapted vocal tract filter estimate for voice transformation and synthesis  

Science Conference Proceedings (OSTI)

In current methods for voice transformation and speech synthesis, the vocal tract filter is usually assumed to be excited by a flat amplitude spectrum. In this article, we present a method using a mixed source model defined as a mixture of the Liljencrants-Fant ... Keywords: Glottal model, Mixed source, Speech synthesis, Vocal tract filter, Voice quality, Voice transformation

Gilles Degottex; Pierre Lanchantin; Axel Roebel; Xavier Rodet

2013-02-01T23:59:59.000Z

277

Model Estimates of M2 Internal Tide Generation over Mid-Atlantic Ridge Topography  

Science Conference Proceedings (OSTI)

The conversion of barotropic to baroclinic M2 tidal energy is examined for a section of the Mid-Atlantic Ridge in the Brazil Basin using a primitive equation model. Model runs are made with different horizontal smoothing (1.5, 6, and 15 km) ...

N. V. Zilberman; J. M. Becker; M. A. Merrifield; G. S. Carter

2009-10-01T23:59:59.000Z

278

Estimation and reduction of the uncertainties in chemical models: Application to hot core chemistry  

E-Print Network (OSTI)

It is not common to consider the role of uncertainties in the rate coefficients used in interstellar gas-phase chemical models. In this paper, we report a new method to determine both the uncertainties in calculated molecular abundances and their sensitivities to underlying uncertainties in the kinetic data utilized. The method is used in hot core models to determine if previous analyses of the age and the applicable cosmic-ray ionization rate are valid. We conclude that for young hot cores ($\\le 10^4$ yr), the modeling uncertainties related to rate coefficients are reasonable so that comparisons with observations make sense. On the contrary, the modeling of older hot cores is characterized by strong uncertainties for some of the important species. In both cases, it is crucial to take into account these uncertainties to draw conclusions from the comparison of observations with chemical models.

Wakelam, V; Herbst, E; Caselli, P; Wakelam, Valentine; Selsis, Franck; Herbst, Eric; Caselli, Paola

2005-01-01T23:59:59.000Z

279

Estimation and reduction of the uncertainties in chemical models: Application to hot core chemistry  

E-Print Network (OSTI)

It is not common to consider the role of uncertainties in the rate coefficients used in interstellar gas-phase chemical models. In this paper, we report a new method to determine both the uncertainties in calculated molecular abundances and their sensitivities to underlying uncertainties in the kinetic data utilized. The method is used in hot core models to determine if previous analyses of the age and the applicable cosmic-ray ionization rate are valid. We conclude that for young hot cores ($\\le 10^4$ yr), the modeling uncertainties related to rate coefficients are reasonable so that comparisons with observations make sense. On the contrary, the modeling of older hot cores is characterized by strong uncertainties for some of the important species. In both cases, it is crucial to take into account these uncertainties to draw conclusions from the comparison of observations with chemical models.

Valentine Wakelam; Franck Selsis; Eric Herbst; Paola Caselli

2005-09-07T23:59:59.000Z

280

Bayesian Estimation of Stochastic Parameterizations in a Numerical Weather Forecasting Model  

Science Conference Proceedings (OSTI)

Parameterizations in numerical models account for unresolved processes. These parameterizations are inherently difficult to construct and as such typically have notable imperfections. One approach to account for this uncertainty is through ...

Yong Song; Christopher K. Wikle; Christopher J. Anderson; Steven A. Lack

2007-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

A Comparison of Statistical and Model-Based Downscaling Techniques for Estimating Local Climate Variations  

Science Conference Proceedings (OSTI)

The respective merits of statistical and regional modeling techniques for downscaling GCM predictions have been evaluated over New Zealand, a small mountainous country surrounded by ocean. The boundary conditions were supplied from twice-daily ...

John W. Kidson; Craig S. Thompson

1998-04-01T23:59:59.000Z

282

Backward-Time Lagrangian Stochastic Dispersion Models and Their Application to Estimate Gaseous Emissions  

Science Conference Proceedings (OSTI)

“Backward” Lagrangian stochastic models calculate an ensemble of fluid element (particle) trajectories that are distinguished by each passing through an observation point. As shown, they can be faster and more flexible in calculating short-range ...

Thomas K. Flesch; John D. Wilson; Eugene Yee

1995-06-01T23:59:59.000Z

283

The Response of a Coupled Model of ENSO to Observed Estimates of Stochastic Forcing  

Science Conference Proceedings (OSTI)

In this work the role that observed intraseasonal atmospheric variability may play in controlling and maintaining ENSO variability is examined. To this end, an asymptotically stable intermediate coupled model of El Niño–Southern Oscillation (ENSO)...

J. Zavala-Garay; A. M. Moore; C. L. Perez; R. Kleeman

2003-09-01T23:59:59.000Z

284

On-line Hydraulic State Estimation in Urban Water Networks Using Reduced Models  

E-Print Network (OSTI)

A Predictor-Corrector (PC) approach for on-line forecasting of water usage in an urban water system is presented and demonstrated. The M5 Model-Trees algorithm is used to predict water demands and Genetic Algorithms (GAs) ...

Preis, Ami

285

Stochastic Characterization of Regional Circulation Patterns for Climate Model Diagnosis and Estimation of Local Precipitation  

Science Conference Proceedings (OSTI)

Two statistical approaches for linking large-scale atmospheric circulation patterns and daily local rainfall are applied to GCM (general circulation model) climate simulations. The ultimate objective is to simulate local precipitation associated ...

Eduardo Zorita; James P. Hughes; Dennis P. Lettemaier; Hans von Storch

1995-05-01T23:59:59.000Z

286

An Indirect Estimation of Convective Boundary Layer Structure for Use in Pollution Dispersion Models  

Science Conference Proceedings (OSTI)

Dispersion models of the convectively driven atmospheric boundary layer (ABL) often require as input meteorological parameters that are not routinely measured. These parameters usually include the surface fluxes of heat and momentum ?Cpw???and ?u?w?, the ...

James M. Wilczak; Mary Sue Phillips

1986-11-01T23:59:59.000Z

287

Using CMAQ for Exposure Modeling and Characterizing the Subgrid Variability for Exposure Estimates  

Science Conference Proceedings (OSTI)

Atmospheric processes and the associated transport and dispersion of atmospheric pollutants are known to be highly variable in time and space. Current air-quality models that characterize atmospheric chemistry effects, for example, the Community ...

Vlad Isakov; John S. Irwin; Jason Ching

2007-09-01T23:59:59.000Z

288

Estimate of subsidence in venice using a one-dimensional model of the subsoil  

Science Conference Proceedings (OSTI)

This work applies a one-dimensional model, based on K. Terzaghi's theory of vertical consolidation, to the calculation of land subsidence in the Venetian Lagoon, caused by extraction of water from artificial wells. Certain assumptions are made in order ...

G. Gambolati

1972-03-01T23:59:59.000Z

289

Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation  

Science Conference Proceedings (OSTI)

Ensemble prediction systems typically show positive spread-error correlation, but they are subject to forecast bias and dispersion errors, and are therefore uncalibrated. This work proposes the use of ensemble model output statistics (EMOS), an ...

Tilmann Gneiting; Adrian E. Raftery; Anton H. Westveld III; Tom Goldman

2005-05-01T23:59:59.000Z

290

Effects of Resolution of Satellite-based Rainfall Estimates on Hydrologic Modeling Skill at Different Scales  

Science Conference Proceedings (OSTI)

Uncertainty due to resolution of current satellite-based rainfall products is believed to be an important source of error in applications of hydrologic modeling and forecasting systems. A method to account for input’s resolution and to accurately ...

Humberto Vergara; Yang Hong; Jonathan J. Gourley; Emmanouil N. Anagnostou; Viviana Maggioni; Dimitrios Stampoulis; Pierre-Emmanuel Kirstetter

291

Estimation of Shortwave Direct Radiative Forcing of Biomass-Burning Aerosols Using New Angular Models  

Science Conference Proceedings (OSTI)

Using a new angular distribution model (ADM) for smoke aerosols, the instantaneous top-of-atmosphere (TOA) shortwave aerosol radiative forcing (SWARF) is calculated for selected days over biomass-burning regions in South America. The visible and ...

Xiang Li; Sundar A. Christopher; Joyce Chou; Ronald M. Welch

2000-12-01T23:59:59.000Z

292

Recent Greenland Accumulation Estimated from Regional Climate Model Simulations and Ice Core Analysis  

Science Conference Proceedings (OSTI)

The accumulation defined as “precipitation minus evaporation” over Greenland has been simulated with the high-resolution limited-area regional climate model HIRHAM4 applied over an Arctic integration domain. This simulation is compared with a ...

K. Dethloff; M. Schwager; J. H. Christensen; S. Kiilsholm; A. Rinke; W. Dorn; F. Jung-Rothenhäusler; H. Fischer; S. Kipfstuhl; H. Miller

2002-10-01T23:59:59.000Z

293

Model Estimates of Land-Driven Predictability in a Changing Climate from CCSM4  

Science Conference Proceedings (OSTI)

The climate system model of the National Center for Atmospheric Research is used to examine the predictability arising from the land surface initialization of seasonal climate ensemble forecasts in current, preindustrial, and projected future ...

Paul A. Dirmeyer; Sanjiv Kumar; Michael J. Fennessy; Eric L. Altshuler; Timothy DelSole; Zhichang Guo; Benjamin A. Cash; David Straus

2013-11-01T23:59:59.000Z

294

Accounting for Model Error in Ensemble-Based State Estimation and Forecasting  

Science Conference Proceedings (OSTI)

Accurate forecasts require accurate initial conditions. For systems of interest, even given a perfect model and an infinitely long time series of observations, it is impossible to determine a system's exact initial state. This motivates a ...

James A. Hansen

2002-10-01T23:59:59.000Z

295

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

Science Conference Proceedings (OSTI)

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

Dimitrios Melas; Giulia Abbate; Dias Haralampopoulos; Alexandros Kelesidis

2000-04-01T23:59:59.000Z

296

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.

297

VISION Model : description of model used to estimate the impact of highway vehicle technologies and fuels on energy use and carbon emissions to 2050.  

DOE Green Energy (OSTI)

The VISION model has been developed by the U.S. Department of Energy (DOE) to provide estimates of the potential energy use, oil use, and carbon emission impacts to 2050 of advanced light- and heavy-duty highway vehicle technologies and alternative fuels. DOE supports research of advanced transportation technologies (including fuels) and is frequently asked to provide estimates of the potential impacts of successful market penetration of these technologies, sometimes on a relatively quick-turnaround basis. VISION is a spreadsheet model in Microsoft Excel that can be used to respond rapidly to quick-turnaround requests, as well as for longer-term analyses. It uses vehicle survival and age-dependent usage characteristics to project total light and heavy vehicle stock, total vehicle miles of travel (VMT), and total energy use by technology and fuel type by year, given market penetration and vehicle energy efficiency assumptions developed exogenously. Total carbon emissions for on-highway vehicles by year are also estimated because life-cycle carbon coefficients for various fuels are included in VISION. VISION is not a substitute for the transportation component of the Energy Information Administration's (EIA's) National Energy Modeling System (NEMS). NEMS incorporates a consumer choice model to project market penetration of advanced vehicles and alternative fuels. The projections are made within the context of the entire U.S. economy. However, the NEMS model is difficult to use on a quick-turnaround basis and only makes projections to 2025. VISION complements NEMS with its relative ''user-friendliness'' and by extending the time frame of potential analysis. VISION has been used for a wide variety of purposes. For illustration, we have listed some of its most recent and current uses in Table 1.1. Figures 1.1-1.3 illustrate the results of some of those runs. These graphs are not actual model output, but they are based on model results. The main body of this report describes VISION's methodology and data sources. The methodology and data sources used in the light- and heavy-vehicle portions of the model are discussed separately. Some suggestions for future improvements to the model are made. Appendix A provides instructions on how to run the VISION model. Appendix B describes the procedure for updating the model with the latest EIA Annual Energy Outlook (AEO).

Singh, M.; Vyas, A.; Steiner, E.

2004-02-19T23:59:59.000Z

298

Application of Hedonic Price Modeling to Estimate the Value of Algae Meal  

E-Print Network (OSTI)

High productivity rates, usage of nonproductive land, renewability and recovery of waste nutrients and potential for CO2 emission reduction represent some of the advantages that selected algae species might have over competing products. Many research studies have investigated potential usage of algae for different purposes, such as cosmetics or aquaculture; however most of the research studies have focused on the feasibility of algae as a source of second generation biodiesel and feed meal. Because of its high costs of production, using algae only for the purpose of biodiesel production might not be profitable. Thus, for global scale algae commercialization it is important that it be used as a feed meal along with being marketed to the biodiesel industry. One of the major problems faced by economists when attempting to analyze the feasibility of algae is the absence of a market for algae-based fuel and meal. Given that no market exists, prices for algae cannot be observed and realistic investment analysis becomes difficult to perform in this sector. The objective of this study is to estimate a potential price of algae meal using hedonic pricing techniques. For that purpose, twenty two different feed meals commonly having the same usage as Post Extracted Algae Residue (PEAR) are decomposed into their chemical constituents in order to calculate the market value of each characteristic. Calculated prices of these characteristics are then used to estimate the price of algae meal and compare it to different feed meals. Results suggest that algae prices are strictly variable to its chemical components across different algae types. Besides, PEAR represents a sustainable source of financial value and might be considered one of the cornerstones in making algae commercialization a feasible and profitable option.

Gogichaishvili, Ilia

2011-08-01T23:59:59.000Z

299

Modeled Salt Density for Nuclear Material Estimation in the Treatment of Spent Nuclear Fuel  

SciTech Connect

Spent metallic nuclear fuel is being treated in a pyrometallurgical process that includes electrorefining the uranium metal in molten eutectic LiCl-KCl as the supporting electrolyte. We report a model for determining the density of the molten salt. Inventory operations account for the net mass of salt and for the mass of actinides present. It was necessary to know the molten salt density but difficult to measure, and it was decided to model the salt density for the initial treatment operations. The model assumes that volumes are additive for the ideal molten salt solution as a starting point; subsequently a correction factor for the lanthanides and actinides was developed. After applying the correction factor, the percent difference between the net salt mass in the electrorefiner and the resulting modeled salt mass decreased from more than 4.0% to approximately 0.1%. As a result, there is no need to measure the salt density at 500 C for inventory operations; the model for the salt density is found to be accurate.

DeeEarl Vaden; Robert. D. Mariani

2010-09-01T23:59:59.000Z

300

Ecological Modelling 187 (2005) 281296 Estimating estuarine gross production, community respiration and  

E-Print Network (OSTI)

that gas invasion and longitudinal dispersion account for up to 21 and 14% of local O2 accumulation advection­dispersion model to account for spatial vari- ability in DO concentration, gas exchange, and river) The analysis shows that the two dominant terms are gas invasion and dispersion, accounting for approximately 21

Vallino, Joseph J.

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


301

A System-Level Model for Runtime Power Estimation on Mobile Devices  

Science Conference Proceedings (OSTI)

The growing popularity of mobile internet services, characterized by heavy network transmission, intensive computation and an always-on display, poses a great challenge to the battery lifetime of mobile devices. To manage the power consumption in an ... Keywords: regression, power model, system-level, mobile device

Yu Xiao; Rijubrata Bhaumik; Zhirong Yang; Matti Siekkinen; Petri Savolainen; Antti Yla-Jaaski

2010-12-01T23:59:59.000Z

302

Run-time Modeling and Estimation of Operating System Power Consumption  

E-Print Network (OSTI)

software power evaluation, as well as power management (e.g. dynamic thermal control and equal energy of a commercial OS across a wide spectrum of applications to understand OS energy profiles and then proposes to track run- time OS energy profiles, the proposed routine level OS power model offers superior accuracy

John, Lizy Kurian

303

A bootstrapped robust data envelopment analysis model for efficiency estimating of telecommunication companies in Iran  

Science Conference Proceedings (OSTI)

One of the primary concerns in measuring the relative efficiency of a telecommunication unit compared with other similar units is the uncertainty on input/output data. In this paper, a bootstrapped robust data envelopment analysis (BRDEA) model is proposed ... Keywords: Bootstrap, Data envelopment analysis, Robust optimization

S. J. Sadjadi; H. Omrani

2010-05-01T23:59:59.000Z

304

Reconciling estimates of the contemporary North American carbon balance among terrestrial biosphere models, atmospheric inversions and a new approach for estimating net ecosystem exchange from inventory-based data  

Science Conference Proceedings (OSTI)

We develop an approach for estimating net ecosystem exchange (NEE) using inventory-based information over North America (NA) for a recent 7-year period (ca. 2000 2006). The approach notably retains information on the spatial distribution of NEE, or the vertical exchange between land and atmosphere of all non-fossil fuel sources and sinks of CO2, while accounting for lateral transfers of forest and crop products as well as their eventual emissions. The total NEE estimate of a 327 252 TgC yr1 sink for NA was driven primarily by CO2 uptake in the Forest Lands sector (248 TgC yr1), largely in the Northwest and Southeast regions of the US, and in the Crop Lands sector (297 TgC yr1), predominantly in the Midwest US states. These sinks are counteracted by the carbon source estimated for the Other Lands sector (+218 TgC yr1), where much of the forest and crop products are assumed to be returned to the atmosphere (through livestock and human consumption). The ecosystems of Mexico are estimated tobe a small net source (+18 TgC yr1) due to land use change between 1993 and 2002. We compare these inventorybased estimates with results from a suite of terrestrial biosphere and atmospheric inversion models, where the mean continental-scale NEE estimate for each ensemble is 511 TgC yr1 and 931 TgC yr1, respectively. In the modeling approaches, all sectors, including Other Lands, were generally estimated to be a carbon sink, driven in part by assumed CO2 fertilization and/or lack of consideration of carbon sources from disturbances and product emissions. Additional fluxes not measured by the inventories, although highly uncertain, could add an additional 239 TgC yr1 to the inventory-based NA sink estimate, thus suggesting some convergence with the modeling approaches.

Hayes, Daniel J [ORNL; Turner, David P [Oregon State University, Corvallis; Stinson, Graham [Pacific Forestry Centre, Canadian Forest Service; Mcguire, David [University of Alaska; Wei, Yaxing [ORNL; West, Tristram O. [Joint Global Change Research Institute, PNNL; Heath, Linda S. [USDA Forest Service; De Jong, Bernardus [ECOSUR; McConkey, Brian G. [Agriculture and Agri-Food Canada; Birdsey, Richard A. [U.S. Department of Agriculture Forest Service; Kurz, Werner [Canadian Forest Service; Jacobson, Andrew [NOAA ESRL and CIRES; Huntzinger, Deborah [University of Michigan; Pan, Yude [U.S. Department of Agriculture Forest Service; Post, Wilfred M [ORNL; Cook, Robert B [ORNL

2012-01-01T23:59:59.000Z

305

Measuring and Modeling Fault Density for Plume-Fault Encounter Probability Estimation  

Science Conference Proceedings (OSTI)

Emission of carbon dioxide from fossil-fueled power generation stations contributes to global climate change. Storage of this carbon dioxide within the pores of geologic strata (geologic carbon storage) is one approach to mitigating the climate change that would otherwise occur. The large storage volume needed for this mitigation requires injection into brine-filled pore space in reservoir strata overlain by cap rocks. One of the main concerns of storage in such rocks is leakage via faults. In the early stages of site selection, site-specific fault coverages are often not available. This necessitates a method for using available fault data to develop an estimate of the likelihood of injected carbon dioxide encountering and migrating up a fault, primarily due to buoyancy. Fault population statistics provide one of the main inputs to calculate the encounter probability. Previous fault population statistics work is shown to be applicable to areal fault density statistics. This result is applied to a case study in the southern portion of the San Joaquin Basin with the result that the probability of a carbon dioxide plume from a previously planned injection had a 3% chance of encountering a fully seal offsetting fault.

Jordan, P.D.; Oldenburg, C.M.; Nicot, J.-P.

2011-05-15T23:59:59.000Z

306

Estimating Demand Response Load Impacts: Evaluation of BaselineLoad Models for Non-Residential Buildings in California  

SciTech Connect

Both Federal and California state policymakers areincreasingly interested in developing more standardized and consistentapproaches to estimate and verify the load impacts of demand responseprograms and dynamic pricing tariffs. This study describes a statisticalanalysis of the performance of different models used to calculate thebaseline electric load for commercial buildings participating in ademand-response (DR) program, with emphasis onthe importance of weathereffects. During a DR event, a variety of adjustments may be made tobuilding operation, with the goal of reducing the building peak electricload. In order to determine the actual peak load reduction, an estimateof what the load would have been on the day of the event without any DRactions is needed. This baseline load profile (BLP) is key to accuratelyassessing the load impacts from event-based DR programs and may alsoimpact payment settlements for certain types of DR programs. We testedseven baseline models on a sample of 33 buildings located in California.These models can be loosely categorized into two groups: (1) averagingmethods, which use some linear combination of hourly load values fromprevious days to predict the load on the event, and (2) explicit weathermodels, which use a formula based on local hourly temperature to predictthe load. The models were tested both with and without morningadjustments, which use data from the day of the event to adjust theestimated BLP up or down.Key findings from this study are: - The accuracyof the BLP model currently used by California utilities to estimate loadreductions in several DR programs (i.e., hourly usage in highest 3 out of10 previous days) could be improved substantially if a morning adjustmentfactor were applied for weather-sensitive commercial and institutionalbuildings. - Applying a morning adjustment factor significantly reducesthe bias and improves the accuracy of all BLP models examined in oursample of buildings. - For buildings with low load variability, all BLPmodels perform reasonably well in accuracy. - For customer accounts withhighly variable loads, we found that no BLP model produced satisfactoryresults, although averaging methods perform best in accuracy (but notbias). These types of customers are difficult to characterize withstandard BLP models that rely on historic loads and weather data.Implications of these results for DR program administrators andpolicymakersare: - Most DR programs apply similar DR BLP methods tocommercial and industrial sector customers. The results of our study whencombined with other recent studies (Quantum 2004 and 2006, Buege et al.,2006) suggests that DR program administrators should have flexibility andmultiple options for suggesting the most appropriate BLP method forspecific types of customers.

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote,Sila

2008-01-01T23:59:59.000Z

307

INDOS: conversational computer codes to implement ICRP-10-10A models for estimation of internal radiation dose to man  

SciTech Connect

INDOS1, INDOS2, and INDOS3 (the INDOS codes) are conversational FORTRAN IV programs, implemented for use in time-sharing mode on the ORNL PDP-10 System. These codes use ICRP10-10A models to estimate the radiation dose to an organ of the body of Reference Man resulting from the ingestion or inhalation of any one of various radionuclides. Two patterns of intake are simulated: intakes at discrete times and continuous intake at a constant rate. The IND0S codes provide tabular output of dose rate and dose vs time, graphical output of dose vs time, and punched-card output of organ burden and dose vs time. The models of internal dose calculation are discussed and instructions for the use of the INDOS codes are provided. The INDOS codes are available from the Radiation Shielding Information Center, Oak Ridge National Laboratory, P. O. Box X, Oak Ridge, Tennessee 37830. (auth)

Killough, G.G.; Rohwer, P.S.

1974-03-01T23:59:59.000Z

308

EXPERIMENTAL VERIFICATION OF THE THREE-DIMENSIONAL THERMAL-HYDRAULIC MODELS IN THE BEST-ESTIMATE CODE BAGIRA.  

Science Conference Proceedings (OSTI)

In this paper we present verification results of the BAGIRA code that was performed using data from integral thermal-hydraulic experimental test facilities as well as data obtained from operating nuclear power plants. BAGIRA is a three-dimensional numerical best-estimate code that includes non-homogeneous modeling. Special consideration was given to the recently completed experimental data from the PSB-VVER integral test facility (EREC, Electrogorsk, Russia)--a new Russian large-scale four-loop unit, which has been designed to model the primary circuits of VVER-1000 type reactors. It is demonstrated that the code BAGIRA can be used to analyze nuclear reactor behavior under normal and accident conditions.

KALINICHENKO,S.D.KROSHILIN,A.E.KROSHILIN,V.E.SMIRNOV,A.V.KOHUT,P.

2004-03-15T23:59:59.000Z

309

Evaluation of Blade-Strike Models for Estimating the Biological Performance of Large Kaplan Hydro Turbines  

DOE Green Energy (OSTI)

BioIndex testing of hydro-turbines is sought as an analog to the hydraulic index testing conducted on hydro-turbines to optimize their power production efficiency. In BioIndex testing the goal is to identify those operations within the range identified by Index testing where the survival of fish passing through the turbine is maximized. BioIndex testing includes the immediate tailrace region as well as the turbine environment between a turbine's intake trashracks and the exit of its draft tube. The US Army Corps of Engineers and the Department of Energy have been evaluating a variety of means, such as numerical and physical turbine models, to investigate the quality of flow through a hydro-turbine and other aspects of the turbine environment that determine its safety for fish. The goal is to use these tools to develop hypotheses identifying turbine operations and predictions of their biological performance that can be tested at prototype scales. Acceptance of hypotheses would be the means for validation of new operating rules for the turbine tested that would be in place when fish were passing through the turbines. The overall goal of this project is to evaluate the performance of numerical blade strike models as a tool to aid development of testable hypotheses for bioIndexing. Evaluation of the performance of numerical blade strike models is accomplished by comparing predictions of fish mortality resulting from strike by turbine runner blades with observations made using live test fish at mainstem Columbia River Dams and with other predictions of blade strike made using observations of beads passing through a 1:25 scale physical turbine model.

Deng, Zhiqun; Carlson, Thomas J.; Ploskey, Gene R.; Richmond, Marshall C.

2005-11-30T23:59:59.000Z

310

Estimation of a semi-physical GLBE model using dual EnKF learning algorithm coupled with a sensor network design strategy: Application to air field monitoring  

Science Conference Proceedings (OSTI)

In this paper, we present the fusion of two complementary approaches for modeling and monitoring the spatio-temporal behavior of a fluid flow system. We also propose a mobile sensor deployment strategy to produce the most accurate estimate of the true ... Keywords: Air field monitoring, Grey-box modeling, Model fusion, Sensor network design

Gilles Roussel, Laurent Bourgois, Mohammed Benjelloun, Gilles Delmaire

2013-10-01T23:59:59.000Z

311

Microsoft Word - Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation_Final2.docx  

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

XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model for Estimating XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation 1 Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation Jennifer M. Logue, William J. N. Turner, Iain S. Walker, and Brett C. Singer Environmental Energy Technologies Division June 2012 LBNL-5796E LBNL-XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation 2 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor

312

Simple Empirical Models for Estimating the Increase in the Central Pressure of Tropical Cyclones after Landfall along the Coastline of the United States  

Science Conference Proceedings (OSTI)

Modeling the increase in the central pressure of tropical cyclones following landfall plays a critical role in the estimation of the hurricane wind hazard at locations removed from the coastline. This paper describes the development of simple ...

Peter J. Vickery

2005-12-01T23:59:59.000Z

313

Evaluation of a Two-Source Snow-Vegetation Energy Balance Model for Estimating Surface Energy Fluxes in a Rangeland Ecosystem  

Science Conference Proceedings (OSTI)

The utility of a snow-vegetation energy balance model for estimating surface energy fluxes is evaluated with field measurements at two sites in a rangeland ecosystem in southwestern Idaho during the winter of 2007: one site dominated by aspen ...

Cezar Kongoli; William P. Kustas; Martha C. Anderson; John M. Norman; Joseph G. Alfieri; Gerald N. Flerchinger; Danny Marks

314

Estimating macroeconomic effects of proposed safety and environmental regulations using the new DRI annual model of the US economy  

SciTech Connect

The long-run macroeconomic effects of proposed environmental and safety regulations are analyzed by use of DRI's (Data Resources, Inc.) new annual model of the US economy. This annual model has fewer variables than the DRI quarterly US economy model. Many short-run cyclical factors have been condensed while long-run supply factors have been enhanced. The model was used to estimate the macroeconomic effects of proposed simultaneous application of (1) new safety regulations regarding air bags or automatic seat belts on cars in 1984 and thereafter, and (2) tight acid-rain environmental regulations for coal-using electric utilities and industry. The effects of the regulations while favorable in the short run, were found to be quite adverse over the long run. Regulatory effects were further analyzed under the assumption that the initial application of regulations was accompanied by a shock in world oil prices (similar to situations in the 1970s when regulatory costs rose simultaneously with the two major energy price shocks). However, a synergistic effect between the shock and new regulation cost was not found.

Teotia, A.P.; Santini, D.J.; Caton, C.

1983-01-01T23:59:59.000Z

315

OLI/ESP Modeling Of The Semi-Integrated Pilot Plant For Estimate Of Campaigns I-IV Simulant Volumes  

Science Conference Proceedings (OSTI)

Four SIPP campaigns have been planned to investigate the effect of recycle streams on the RPP-WTP pretreatment process such as the filter flux rate and other areas of interest. This document describes OLI/ESP modeling work done in support of the planning and operation of the SIPP. An existing OLI/ESP steady-state model was expanded to represent the pretreatment system through to the TLP evaporator for the LAW train and the washed sludge for the HLW train. The model was used to investigate alternative operating scenarios, determine the optimum volumetric waste feed ratio of AP-101 to AY-102, and, for each campaign, estimate the simulant and input recycle volumes corresponding to the target glass production rates of 6MT/day HLW glass and 80MT/day LAW glass and scaled to the target of 140L of Campaign I washed sludge. It was designed to quickly achieve steady state and simulation results indicate this was accomplished by Campaign IV. The alternative operating scenarios modeled differed only in the point at which the AP-101 and AY-102 waste feed streams were introduced to the process. The results showed no difference in the production rate between the scenarios. Therefore, for these specific waste feeds the process should be operated to maximize the energy efficiency and minimize scaling in the evaporator by feeding the AY-102 waste feed to the ultra-filtration feed prep tank, bypassing the waste feed evaporator.

CARL, BARNES

2004-08-01T23:59:59.000Z

316

Reconciling estimates of the contemporary North American carbon balance among terrestrial biosphere models, atmospheric inversions and a new approach for estimating net ecosystem exchange from inventory-based data  

Science Conference Proceedings (OSTI)

While fossil fuel emissions are calculated with relatively high precision, understanding the fate of those emissions with respect to sequestration in terrestrial ecosystems requires data and methods that can reduce uncertainties in the diagnosis of land-based CO2 sinks. The wide range in the land surface flux estimates is related to a number of factors, but most generally because of the different methodologies used to develop estimates of carbon stocks and flux, and the uncertainties inherent in each approach. The alternative approaches to estimating continental scale carbon fluxes that we explored here can be broadly classified as applying a top-down or bottom-up perspective. Top-down approaches calculate land-atmosphere carbon fluxes based on atmospheric budgets and inverse modeling. Bottom-up approaches rely primarily on measurements of carbon stock changes (the inventory approach) or on spatially distributed simulations of carbon stocks and/or fluxes using process-based modeling (the forward modelapproach).

Hayes, D. J.; Turner, D. P.; Stinson, Graham; McGuire, A. David; Wei, Yaxing; West, Tristram O.; Heath, L.; deJong, B.; McConkey, Brian; Birdsey, Richard A.; Kurz, Werner; Jacobson, Andy; Huntzinger, Deborah N.; Pan, Y.; Post, W. M.; Cook, R. B.

2012-04-02T23:59:59.000Z

317

FRP model (Version 1.0) for estimating styrene emissions from fiber-reinforced plastics fabrication processes (on diskette). Model-simulation  

Science Conference Proceedings (OSTI)

This software estimates styrene emissions from the manufacture of fiber-reinforced plastics/composite (FRP/C) products. In using the model, the user first chooses the appropriate process: gel coating, resin sprayup, hand layup, etc. Choosing a process will cause the baseline input values for that process to be displayed. Then the new values that apply to the user`s plant are entered. After all the parameters appropriate to the fabrication process have been added, the values for Overall modification factor and Calculated emission (percent AS) will be displayed. Results can be printed or saved.

NONE

1998-05-01T23:59:59.000Z

318

VISION Model: Description of Model Used to Estimate the Impact of Highway Vehicle Technologies and Fuels on Energy Use and Carbon Emissions to 2050  

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

ESD/04-1 ESD/04-1 VISION Model: Description of Model Used to Estimate the Impact of Highway Vehicle Technologies and Fuels on Energy Use and Carbon Emissions to 2050 Center for Transportation Research Argonne National Laboratory Operated by The University of Chicago, under Contract W-31-109-Eng-38, for the United States Department of Energy Argonne National Laboratory, a U.S. Department of Energy Office of Science laboratory, is operated by The University of Chicago under contract W-31-109-Eng-38. DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor The University of Chicago, nor any of their employees or officers, makes any warranty, express or implied, or assumes

319

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

SciTech Connect

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

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

2007-07-30T23:59:59.000Z

320

Development of a right-of-way cost estimation and cost estimate management process framework for highway projects  

E-Print Network (OSTI)

Escalation of right-of-way (ROW) costs have been shown to be a prime contributor to project cost escalation in the highway industry. Two problems contribute to ROW cost escalation: 1) the ROW cost estimation and cost estimate management process generally lacks structure and definition as compared to other areas of cost estimation; and 2) there is a lack of integration and communication between those responsible for ROW cost estimating and those responsible for general project cost estimating. The research for this thesis was preceded by a literature review to establish the basis for the study. Data collection was completed through interviews of seven state highway agencies (SHAs) and two local public agencies (LPAs). The findings of the research are presented in a set of ROW flowcharts which document the steps, inputs, and outputs of the ROW cost estimation and cost estimate management process. Three ROW cost estimates and a cost management process take place throughout project development. An effort was made from the onset of the research to relate the ROW cost estimating and cost estimate management process to the first four project development phases (planning, programming. preliminary design, and final design). There are five flowcharts produced as a result of this research: 1) an agency-level flowchart showing all cost estimates and the interaction of ROW with the project development process; 2) a conceptual ROW cost estimating flowchart which depicts the required steps during planning; 3) a baseline ROW cost estimating flowchart which depicts the required steps during programming; 4) an update ROW cost estimating flowchart which depicts the required steps during preliminary design to include a cost estimate management loop; and 5) a ROW cost management flowchart which depicts the required steps during final design. Although selected SHA contacts provided input following the development of the flowcharts, the flowcharts were only validated to a limited extent due to time and budget constraints. These flowcharts attempt to address the two contributing problems to ROW cost escalation by providing structure to the ROW cost estimation process and by developing the ROW process flowcharts linked to the project development process. Based on the input provided by SHA contacts, the flowcharts appear to have the potential to provide guidance to SHAs in improving the accuracy of ROW cost estimates through addressing these two problems.

Lucas, Matthew Allen

2007-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

Fuzzy Clustering Based Multi-model Support Vector Regression State of Charge Estimator for Lithium-ion Battery of Electric Vehicle  

Science Conference Proceedings (OSTI)

Based on fuzzy clustering and multi-model support vector regression, a novel lithium-ion battery state of charge (SOC) estimating model for electric vehicle is proposed. Fuzzy C-means and Subtractive clustering combined algorithm is employed to implement ...

Xiaosong Hu; Fengchun Sun

2009-08-01T23:59:59.000Z

322

Improved Estimates of the European Winter Windstorm Climate and the Risk of Reinsurance Loss Using Climate Model Data  

Science Conference Proceedings (OSTI)

Current estimates of the European windstorm climate and their associated losses are often hampered by either relatively short, coarse resolution or inhomogeneous datasets. This study tries to overcome some of these shortcomings by estimating the ...

Paul M. Della-Marta; Mark A. Liniger; Christof Appenzeller; David N. Bresch; Pamela Köllner-Heck; Veruska Muccione

2010-10-01T23:59:59.000Z

323

Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings in California  

E-Print Network (OSTI)

Protocols  for  Demand  Response  Load  Impacts  Estimates, Potter  2006.     The  Demand  Response Baseline, v.1.75.   Assessment  of  Demand  Response  and  Advanced  Metering, 

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

2008-01-01T23:59:59.000Z

324

Estimated United States Transportation Energy Use 2005  

DOE Green Energy (OSTI)

A flow chart depicting energy flow in the transportation sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 31,000 trillion British Thermal Units (trBTUs) of energy were used throughout the United States in transportation activities. Vehicles used in these activities include automobiles, motorcycles, trucks, buses, airplanes, rail, and ships. The transportation sector is powered primarily by petroleum-derived fuels (gasoline, diesel and jet fuel). Biomass-derived fuels, electricity and natural gas-derived fuels are also used. The flow patterns represent a comprehensive systems view of energy used within the transportation sector.

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

2011-11-09T23:59:59.000Z

325

Prescriber-consumer social network analysis for risk level re-estimation based on an asymmetrical rating exchange model  

Science Conference Proceedings (OSTI)

In this paper, we present a novel approach to re-estimate the risk level of prescribers and consumers (doctors and patients) that were previously evaluated by various independent Risk Analysis Systems (RAS). This is achieved by taking into consideration ... Keywords: fraud detection, risk level estimation, social network analysis

Yingsong Hu, D. Wayne Murray, Yin Shan, Alison Sutinen, B. Sumudu U. Mendis, MingJian Tang

2011-12-01T23:59:59.000Z

326

Ultra-Wideband Time-of-Arrival and Angle-of-Arrival Estimation Using a Signal Model Based on Measurements  

Science Conference Proceedings (OSTI)

This paper presents an ultra wideband (UWB) channel sounding scheme with a technique for estimating time of arrival (TOA) and angle of arrival (AOA) using measurement signals. Since the power spectrum over the UWB bandwidth can be measured in advance, ... Keywords: Cramér-Rao bound, multiple signal classification, radio channel measurement and estimation, ultra-wideband propagation

Naohiko Iwakiri; Takehiko Kobayashi

2007-11-01T23:59:59.000Z

327

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

Science Conference Proceedings (OSTI)

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

Jian Sun; Guido D. Salvucci

328

Second cancer incidence risk estimates using BEIR VII models for standard and complex external beam radiotherapy for early breast cancer  

Science Conference Proceedings (OSTI)

Purpose: To compare organ specific cancer incidence risks for standard and complex external beam radiotherapy (including cone beam CT verification) following breast conservation surgery for early breast cancer.Method: Doses from breast radiotherapy and kilovoltage cone beam CT (CBCT) exposures were obtained from thermoluminescent dosimeter measurements in an anthropomorphic phantom in which the positions of radiosensitive organs were delineated. Five treatment deliveries were investigated: (i) conventional tangential field whole breast radiotherapy (WBRT), (ii) noncoplanar conformal delivery applicable to accelerated partial beast irradiation (APBI), (iii) two-volume simultaneous integrated boost (SIB) treatment, (iv) forward planned three-volume SIB, and (v) inverse-planned three volume SIB. Conformal and intensity modulated radiotherapy methods were used to plan the complex treatments. Techniques spanned the range from simple methods appropriate for patient cohorts with a low cancer recurrence risk to complex plans relevant to cohorts with high recurrence risk. Delineated organs at risk included brain, salivary glands, thyroid, contralateral breast, left and right lung, esophagus, stomach, liver, colon, and bladder. Biological Effects of Ionizing Radiation (BEIR) VII cancer incidence models were applied to the measured mean organ doses to determine lifetime attributable risk (LAR) for ages at exposure from 35 to 80 yr according to radiotherapy techniques, and included dose from the CBCT imaging. Results: All LAR decreased with age at exposure and were lowest for brain, thyroid, liver, and bladder (cancer incidence for organs distant from the treated breast, or the contralateral breast where appropriate plan constraints are applied. Complex SIB treatments are predicted to increase the risk of second cancer incidence in the lungs compared to standard whole breast radiotherapy; this is outweighed by the threefold reduction in 5 yr local recurrence risk for patients of high risk of recurrence, and young age, from the use of radiotherapy. APBI may have a favorable impact on risk of second cancer in the contralateral breast and lung for older patients at low risk of recurrence. Intensive use of IGRTincreased the estimated values of LAR but these are dominated by the effect of the dose from the radiotherapy, and any increase in LAR from IGRT is much lower than the models' uncertainties.

Donovan, E. M.; James, H.; Bonora, M.; Yarnold, J. R.; Evans, P. M. [Joint Department of Physics, Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Sutton SM2 5PT (United Kingdom); Physics Department, Ipswich Hospital NHS Foundation Trust, Ipswich IP4 5PD (United Kingdom); Department of Academic Radiotherapy, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton SM2 5PT, United Kingdom and School of Radiotherapy, University of Milan, Milan 20122 (Italy); Department of Academic Radiotherapy, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton SM2 5PT (United Kingdom); Centre for Vision Speech and Signal Processing, University of Surrey, Guildford GU2 7XH (United Kingdom)

2012-10-15T23:59:59.000Z

329

A Surface Wind Model–Based Method to Estimate Rain-Induced Radar Path Attenuation over Ocean  

Science Conference Proceedings (OSTI)

The rainfall retrieved using the Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) depends on estimating the radar signal path-integrated attenuation using the surface reference technique (SRT). This technique assumes uniform ...

Li Li; Eastwood Im; Stephen L. Durden; Ziad S. Haddad

2002-05-01T23:59:59.000Z

330

Optimal estimation of the surface fluxes of methyl chloride using a 3-D global chemical transport model  

E-Print Network (OSTI)

Methyl chloride (CH3Cl) [CH subscript 3 Cl] is a chlorine-containing trace gas in the atmosphere contributing significantly to stratospheric ozone depletion. Large uncertainties in estimates of its source and sink magnitudes ...

Xiao, Xue

331

Estimation of methane and carbon dioxide surface fluxes using a 3-D global atmospheric chemical transport model  

E-Print Network (OSTI)

Methane (CH?) and carbon dioxide (CO?) are the two most radiatively important greenhouse gases attributable to human activity. Large uncertainties in their source and sink magnitudes currently exist. We estimate global ...

Chen, Yu-Han, 1973-

2004-01-01T23:59:59.000Z

332

Estimation of Climate-Change Impacts on the Urban Heat Load Using an Urban Climate Model and Regional Climate Projections  

Science Conference Proceedings (OSTI)

A pragmatic approach to estimate the impact of climate change on the urban environment, here called the cuboid method, is presented. This method allows one to simulate the urban heat load and the frequency of air temperature threshold exceedances ...

Barbara Früh; Paul Becker; Thomas Deutschländer; Johann-Dirk Hessel; Meinolf Kossmann; Ingrid Mieskes; Joachim Namyslo; Marita Roos; Uwe Sievers; Thomas Steigerwald; Heidelore Turau; Uwe Wienert

2011-01-01T23:59:59.000Z

333

Top-of-Atmosphere Albedo Estimation from Angular Distribution Models Using Scene Identification from Satellite Cloud Property Retrievals  

Science Conference Proceedings (OSTI)

The next generation of earth radiation budget satellite instruments will routinely merge estimates of global top-of-atmosphere radiative fluxes with cloud properties. This information will offer many new opportunities for validating radiative ...

Norman G. Loeb; Frédéric Parol; Jean-Claude Buriez; Claudine Vanbauce

2000-04-01T23:59:59.000Z

334

Estimating Demand Response Load Impacts: Evaluation of Baseline Load Models for Non-Residential Buildings in California  

E-Print Network (OSTI)

This  baseline  load  profile  (BLP)  is  key  to to  as  the  baseline  load  profile  or  BLP  and  is  key actual  and  estimated  load  profiles  look,  Figure  1 

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

2008-01-01T23:59:59.000Z

335

ARM Climate Modeling Best Estimate from Darwin, AU (ARMBE-CLDRAD TWPC3 V2.1)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

336

ARM Climate Modeling Best Estimate from Manus Island, PNG (ARMBE-CLDRAD TWPC1 V2.1)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

337

ARM Climate Modeling Best Estimate from Darwin, AU (ARMBE-CLDRAD TWPC3 V2.1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2010-08-10T23:59:59.000Z

338

ARM Climate Modeling Best Estimate from Manus Island, PNG (ARMBE-CLDRAD TWPC1 V2.1)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2011-02-07T23:59:59.000Z

339

Estimating Monthly Mean Water and Energy Budgets over the Central U.S. Great Plains. Part I: Evapoclimatonomy Model Formulation  

Science Conference Proceedings (OSTI)

A modified form of Lettau's evapoclimatonomy model is used to calculate the model response functions for runoff, soil moisture, change of soil moisture with time, and evapotranspiration. The model is implemented for the state of Kansas with ...

R. T. Pinker; L. A. Corio

1987-06-01T23:59:59.000Z

340

Satellite data assimilation and estimation of a 3D coastal sediment transport model using error-subspace emulators  

Science Conference Proceedings (OSTI)

This paper describes sequential assimilation of data into a three-dimensional coastal ocean model using fast and cheap statistical surrogates of the model (emulators). The model simulates resuspension and deposition of fine sediments in a macro-tidal ... Keywords: Coastal, Data assimilation, Emulator, Model, Remote sensing, Sediment transport

N. Margvelashvili; J. Andrewartha; M. Herzfeld; B. J. Robson; V. E. Brando

2013-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

Small-Area Estimation based on Survey Data from a Left-Censored Fay-Herriot Model  

E-Print Network (OSTI)

Administration's monthly crude oil report is based on a survey (EIA-813, http://www.eia.doe.gov/oss/forms.html) in which respondent compa- nies that carry or store more than 1000 barrels of crude oil are required is the US Census Bureau's Small Area Income and Poverty Estimation (SAIPE) program, an ongoing effort

Maryland at College Park, University of

342

654 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 18, NO. 3, MAY 2010 Model-Based Electrochemical Estimation and  

E-Print Network (OSTI)

previously been incorporated in estimating capacity of VRLA batteries by considering the voltage discharge over the entire life of a particular battery (Battery 0009) was separated into a `training' date set have also been made on sealed lead acid (SLA) cells and valve regulated lead acid (VRLA) batteries

343

Constraining the Influence of Natural Variability to Improve Estimates of Global Aerosol Indirect Effects in a Nudged Version of the Community Atmosphere Model 5  

SciTech Connect

Natural modes of variability on many timescales influence aerosol particle distributions and cloud properties such that isolating statistically significant differences in cloud radiative forcing due to anthropogenic aerosol perturbations (indirect effects) typically requires integrating over long simulations. For state-of-the-art global climate models (GCM), especially those in which embedded cloud-resolving models replace conventional statistical parameterizations (i.e. multi-scale modeling framework, MMF), the required long integrations can be prohibitively expensive. Here an alternative approach is explored, which implements Newtonian relaxation (nudging) to constrain simulations with both pre-industrial and present-day aerosol emissions toward identical meteorological conditions, thus reducing differences in natural variability and dampening feedback responses in order to isolate radiative forcing. Ten-year GCM simulations with nudging provide a more stable estimate of the global-annual mean aerosol indirect radiative forcing than do conventional free-running simulations. The estimates have mean values and 95% confidence intervals of -1.54 ± 0.02 W/m2 and -1.63 ± 0.17 W/m2 for nudged and free-running simulations, respectively. Nudging also substantially increases the fraction of the world’s area in which a statistically significant aerosol indirect effect can be detected (68% and 25% of the Earth's surface for nudged and free-running simulations, respectively). One-year MMF simulations with and without nudging provide global-annual mean aerosol indirect radiative forcing estimates of -0.80 W/m2 and -0.56 W/m2, respectively. The one-year nudged results compare well with previous estimates from three-year free-running simulations (-0.77 W/m2), which showed the aerosol-cloud relationship to be in better agreement with observations and high-resolution models than in the results obtained with conventional parameterizations.

Kooperman, G. J.; Pritchard, M. S.; Ghan, Steven J.; Wang, Minghuai; Somerville, Richard C.; Russell, Lynn

2012-12-11T23:59:59.000Z

344

Model Estimates of the Land and Ocean Contributions to Biospheric Carbon and Water Fluxes Using MODIS Satellite Data  

Science Conference Proceedings (OSTI)

Land and ocean are often treated separately in modeling studies despite their close links through the carbon, water, and energy cycles. However, biospheric models, particularly when used in conjunction with recent satellite datasets, provide a new,...

Paul B. Alton; Per E. Bodin

2011-07-01T23:59:59.000Z

345

Effects of Vegetation Clumping on Two–Source Model Estimates of Surface Energy Fluxes from an Agricultural Landscape during SMACEX  

Science Conference Proceedings (OSTI)

The effects of nonrandom leaf area distributions on surface flux predictions from a two-source thermal remote sensing model are investigated. The modeling framework is applied at local and regional scales over the Soil Moisture–Atmosphere ...

Martha C. Anderson; J. M. Norman; William P. Kustas; Fuqin Li; John H. Prueger; John R. Mecikalski

2005-12-01T23:59:59.000Z

346

Comparison of Model-Produced and Observed Microwave Radiances and Estimation of Background Error Covariances for Hydrometeor Variables within Hurricanes  

Science Conference Proceedings (OSTI)

A radiative transfer model was updated to better simulate Special Sensor Microwave Imager (SSM/I)–observed brightness temperatures in areas of high ice concentration. The difference between the lowest observed and model-produced brightness ...

Clark Amerault; Xiaolei Zou

2006-03-01T23:59:59.000Z

347

A Numerical Modeling System of the Hydrological Cycle for Estimation of Water Fluxes in the Huaihe River Plain Region, China  

Science Conference Proceedings (OSTI)

To analyze the water budget under human influences in the Huaihe River plain region in China, the authors have developed a numerical modeling system that integrates water flux algorithms into a platform created by coupling a soil moisture model ...

Xi Chen; Yongqin David Chen; Zhicai Zhang

2007-08-01T23:59:59.000Z

348

Stretched Exponential Decline Model as a Probabilistic and Deterministic Tool for Production Forecasting and Reserve Estimation in Oil and Gas Shales  

E-Print Network (OSTI)

Today everyone seems to agree that ultra-low permeability and shale reservoirs have become the potentials to transform North America's oil and gas industry to a new phase. Unfortunately, transient flow is of long duration (perhaps life of the well) in ultra-low permeability reservoirs, and traditional decline curve analysis (DCA) models can lead to significantly over-optimistic production forecasts without additional safeguards. Stretched Exponential decline model (SEDM) gives considerably more stabilized production forecast than traditional DCA models and in this work it is shown that it produces unchanging EUR forecasts after only two-three years of production data are available in selected reservoirs, notably the Barnett Shale. For an individual well, the SEDM model parameters, can be determined by the method of least squares in various ways, but the inherent nonlinear character of the least squares problem cannot be bypassed. To assure a unique solution to the parameter estimation problem, this work suggests a physics-based regularization approach, based on critical velocity concept. Applied to selected Barnett Shale gas wells, the suggested method leads to reliable and consistent EURs. To further understand the interaction of the different fracture properties on reservoir response and production decline curve behavior, a series of Discrete Fracture Network (DFN) simulations were performed. Results show that at least a 3-layer model is required to reproduce the decline behavior as captured in the published SEDM parameters for Barnett Shale. Further, DFN modeling implies a large number of parameters like fracture density and fracture length are in such a way that their effect can be compensated by the other one. The results of DFN modeling of several Barnett Shale horizontal wells, with numerous fracture stages, showed a very good agreement with the estimated SEDM model for the same wells. Estimation of P90 reserves that meet SEC criteria is required by law for all companies that raise capital in the United States. Estimation of P50 and P10 reserves that meet SPE/WPC/AAPG/SPEE Petroleum Resources Management System (PRMS) criteria is important for internal resource inventories for most companies. In this work a systematic methodology was developed to quantify the range of uncertainty in production forecast using SEDM. This methodology can be used as a probabilistic tool to quantify P90, P50, and P10 reserves and hence might provide one possible way to satisfy the various legal and technical-society-suggested criteria.

Akbarnejad Nesheli, Babak

2012-05-01T23:59:59.000Z

349

Evaluation of crop yield and soil water estimates using the EPIC model for the Loess Plateau of China  

Science Conference Proceedings (OSTI)

Since 2000, a database of crop and soil parameters, and meteorological data and so on, has been set up for the EPIC model, based on long-term experimental data and on-the-spot investigated data. The model parameters have been repeatedly revised and verified ... Keywords: Crop yield, EPIC model, Evaluation, Loess Plateau, Soil water

Xue Chun Wang; Jun Li

2010-06-01T23:59:59.000Z

350

Distribution Fast Simulation and Modeling Technical Update: First Sensor Location Strategy for the Enhancement of Distribution State Estimation  

Science Conference Proceedings (OSTI)

Distribution automation offers new abilities to improve the performance of distribution operation and control, but improved flexibility and controllability of the distribution grid is only possible if control center tools and engineers have a more accurate representation of the grid in real-time than what is provided by existing supervisory control and data acquisition (SCADA) systems. A Distribution State Estimator (DSE) is a non linear optimization that uses a limited number of measurements combined wi...

2008-03-31T23:59:59.000Z

351

Estimating catchment-scale impacts of wildfire on sediment and nutrient loads using the E2 catchment modelling framework  

Science Conference Proceedings (OSTI)

Approximately 1.3 million ha of forested and agricultural land in south-eastern Australia was burnt by wildfires in early 2003. This paper describes a modelling process to assess the impacts of the fires on the quality of receiving waters and river systems ... Keywords: Catchment modelling, E2, Nutrient loads, Sediment loads, Water quality, Wildfire

Paul M. Feikema; Gary J. Sheridan; Robert M. Argent; Patrick N. J. Lane; Rodger B. Grayson

2011-07-01T23:59:59.000Z

352

Estimation of Channel Impulse Response Using Modified Ceiling Bounce Model in Non-Directed Indoor Optical Wireless Systems  

Science Conference Proceedings (OSTI)

In this paper a modification to the traditional Ceiling bounce model is proposed for use with non-directed indoor optical wireless systems which takes into account the transceiver separation distances as well as their actual positions while computing ... Keywords: Diffuse indoor optical systems, Indoor channel impulse response, Modified Ceiling bounce model

K. Smitha; Arumugam Sivabalan; Joseph John

2008-04-01T23:59:59.000Z

353

Deriving a Framework for Estimating Individual Tree Measurements with Lidar for Use in the TAMBEETLE Southern Pine Beetle Infestation Growth Model  

E-Print Network (OSTI)

The overall goal of this study was to develop a framework for using airborne lidar to derive inputs for the SPB infestation growth model TAMBEETLE. The specific objectives were (1) to estimate individual tree characteristics of XY location, individual bole height (IBH), diameter at breast height (DBH), length of crown (CrHT), and age for use in TAMBEETLE; (2) to estimate individual tree age using lidar-estimated height and site index provided by the United States Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) Soil Survey Geographic Database (SSURGO); and (3) to compare TAMBEETLE simulation results using field measurements and lidarderived measurements as inputs. Diameter at breast height, individual bole height, and crown length were estimated using lidar with an error for mean measurements at plot level of 0.16cm, 0.19m, and 1.07m, respectively. These errors were within root mean square error (RMSE) for other studies at the study site. Age was estimated using the site index provided by SSURGO and the site index curves created for the study area with an RMSE of 4.8 years for mean plot age. Underestimation of tree height by lidar and error in the site index curve explained 91% of the error in mean plot age. TAMBEETLE was used to compare spot growth between a lidar-derived forest map and a forest map generated by TAMBEETLE, based on sample plot characteristics. The lidar-derived forest performed comparably to the TAMBEETLE generated forest. Using lidar to map forests can provide the large spatial extents of the TAMBEETLE generated forest while maintaining the spatially explicit forest characteristics, which were previously only available through field measurements.

Stukey, Jared D.

2009-12-01T23:59:59.000Z

354

A New Parametric Tropical Cyclone Tangential Wind Profile Model  

Science Conference Proceedings (OSTI)

A new parametric tropical cyclone (TC) wind profile model is presented for depicting representative surface pressure profiles corresponding to multiple-maxima wind profiles that exhibit single-, dual-, and triple-maximum concentric-eyewall wind ...

Vincent T. Wood; Luther W. White; Hugh E. Willoughby; David P. Jorgensen

2013-06-01T23:59:59.000Z

355

Extending the Model of KH 15D: Estimating the Effects of Forward Scattering and Curvature of the Occulting Ring Edge  

E-Print Network (OSTI)

The periodic eclipses of the pre-main-sequence binary, KH 15D, have been explained by a circumbinary dust ring inclined to the orbital plane, which causes occultations of the stars as they pass behind the ring edge. We compute the extinction and forward scattering of light by the edge of the dust ring to explain (1) the gradual slope directly preceding total eclipse, (2) the gradual decline at the end of ingress, and (3) the slight rise in flux at mid-eclipse. The size of the forward scattering halo indicates that the dust grains have a radius of a ~ 6 (D/3 AU) microns, where D is the distance of the edge of the ring from the system barycenter. This dust size estimate agrees well with estimates of the dust grain size from polarimetry, adding to the evidence that the ring lies at several AU. Finally, the ratio of the fluxes inside and outside eclipse independently indicates that the ring lies at a few astronomical units.

D. W. Silvia; E. Agol

2008-03-31T23:59:59.000Z

356

Concentrating Solar Deployment System (CSDS) -- A New Model for Estimating U.S. Concentrating Solar Power (CSP) Market Potential: Preprint  

DOE Green Energy (OSTI)

This paper presents the Concentrating Solar Deployment System Model (CSDS). CSDS is a multiregional, multitime-period, Geographic Information System (GIS), and linear programming model of capacity expansion in the electric sector of the United States. CSDS is designed to address the principal market and policy issues related to the penetration of concentrating solar power (CSP) electric-sector technologies. This paper discusses the current structure, capabilities, and assumptions of the model. Additionally, results are presented for the impact of continued research and development (R&D) spending, an extension to the investment tax credit (ITC), and use of a production tax credit (PTC). CSDS is an extension of the Wind Deployment System (WinDS) model created at the National Renewable Energy Laboratory (NREL). While WinDS examines issues related to wind, CSDS is an extension to analyze similar issues for CSP applications. Specifically, a detailed representation of parabolic trough systems with thermal storage has been developed within the existing structure.

Blair, N.; Mehos, M.; Short, W.; Heimiller, D.

2006-04-01T23:59:59.000Z

357

Error Covariance Estimation for Coupled Data Assimilation Using a Lorenz Atmosphere and a Simple Pycnocline Ocean Model  

Science Conference Proceedings (OSTI)

Coupled data assimilation uses a coupled model consisting of multiple time-scale media to extract information from observations that are available in one or more media. Because of the instantaneous exchanges of information among the coupled media, ...

Guijun Han; Xinrong Wu; Shaoqing Zhang; Zhengyu Liu; Wei Li

2013-12-01T23:59:59.000Z

358

The Influence of Artificial and Physical Factors upon Predictability Estimates Using a Complex Limited-Area Model  

Science Conference Proceedings (OSTI)

Recently, optimistic reports have appeared indicating that mesoscale circulations are more predictable than synoptic scale circulations. These have been based on studies using limited-area meso-?-scale forecast models. Warnings have also appeared ...

Tomislava Vukicevic; Ronald M. Errico

1990-07-01T23:59:59.000Z

359

A Comparison of the Variability of a Climate Model with Paleotemperature Estimates from a Network of Tree-Ring Densities  

Science Conference Proceedings (OSTI)

Validation of the decadal to centennial timescale variability of coupled climate models is limited by the scarcity of long observational records. Proxy indicators of climate, such as tree rings, ice cores, etc., can be utilized for this purpose. ...

Matthew Collins; Timothy J. Osborn; Simon F. B. Tett; Keith R. Briffa; Fritz H. Schweingruber

2002-07-01T23:59:59.000Z

360

A Joint Estimate of the Precipitation Climate Signal in Europe Using Eight Regional Models and Five Observational Datasets  

Science Conference Proceedings (OSTI)

This paper presents an analysis of the precipitation climate signal in Europe emerging from a simulation of heterogeneous regional climate models (RCMs) using five observational datasets as the reference for present day climate conditions. ...

Francisco J. Tapiador

2010-04-01T23:59:59.000Z

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


361

Analysis of WRF Model Wind Estimate Sensitivity to Physics Parameterization Choice and Terrain Representation in Andalusia (Southern Spain)  

Science Conference Proceedings (OSTI)

This paper reports on an evaluation of the relative roles of choice of parameterization scheme and terrain representation in the Weather Research and Forecasting (WRF) mesoscale model, in the context of a regional wind resource assessment. As a ...

F. J. Santos-Alamillos; D. Pozo-Vázquez; J. A. Ruiz-Arias; V. Lara-Fanego; J. Tovar-Pescador

2013-07-01T23:59:59.000Z

362

A hybrid approach of physical laws and data-driven modeling for estimation: the example of queuing networks  

E-Print Network (OSTI)

2012. [16] X. J. Ban, R. Herring, P. Hao and A. M. Bayen,J. Herrera, D. Work, R. Herring, X. Ban, Q. Jacobson and A.460–481, 2010. [104] R. Herring, Real-Time Traffic Modeling

Hofleitner, Aude

2013-01-01T23:59:59.000Z

363

Error Covariance Estimation for Coupled Data Assimilation Using a Lorenz Atmosphere and a Simple Pycnocline Ocean Model  

Science Conference Proceedings (OSTI)

Coupled data assimilation uses a coupled model consisting of multiple time scale media to extract information from observations that are available in one or more media. Due to instantaneous exchanges of information among the coupled media, coupled ...

Guijun Han; Xinrong Wu; Shaoqing Zhang; Zhengyu Liu; Wei Li

364

Case Study of a Coastal Jet at Spitsbergen—Comparison of SAR- and Model-Estimated Wind  

Science Conference Proceedings (OSTI)

A combination of in situ ship measurements, synthetic aperture radar (SAR) imagery, and high-resolution numerical modeling was used to investigate a mesoscale coastal jet radiating out from Hinlopenstretet, Norway, on 14 August 1996. In the ...

Anne Dagrun Sandvik; Birgitte Rugaard Furevik

2002-04-01T23:59:59.000Z

365

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

Science Conference Proceedings (OSTI)

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

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

2004-10-01T23:59:59.000Z

366

Fluctuating Arctic Sea Ice Thickness Changes Estimated by an In Situ Learned and Empirically Forced Neural Network Model  

Science Conference Proceedings (OSTI)

Sea ice thickness (SIT) is a key parameter of scientific interest because understanding the natural spatiotemporal variability of ice thickness is critical for improving global climate models. In this paper, changes in Arctic SIT during 1982–2003 ...

G. I. Belchansky; D. C. Douglas; N. G. Platonov

2008-02-01T23:59:59.000Z

367

An Assessment of the Primary Sources of Spread of Global Warming Estimates from Coupled Atmosphere–Ocean Models  

Science Conference Proceedings (OSTI)

Climate feedback analysis constitutes a useful framework for comparing the global mean surface temperature responses to an external forcing predicted by general circulation models (GCMs). Nevertheless, the contributions of the different radiative ...

Jean-Louis Dufresne; Sandrine Bony

2008-10-01T23:59:59.000Z

368

Global Retrospective Estimation of Soil Moisture Using the Variable Infiltration Capacity Land Surface Model, 1980–93  

Science Conference Proceedings (OSTI)

A daily set of surface meteorological forcings, model-derived surface moisture fluxes, and state variables for global land areas for the period of 1979–93 is described. The forcing dataset facilitates global simulations and evaluation of land ...

Bart Nijssen; Reiner Schnur; Dennis P. Lettenmaier

2001-04-01T23:59:59.000Z

369

Estimation of the Mean Field Bias of Radar Rainfall Estimates  

Science Conference Proceedings (OSTI)

In this paper procedures are developed for estimating the mean field bias of radar rainfall estimates. Mean field bias is modeled as a random process that varies not only from storm to storm but also over the course of a storm. State estimates of ...

James A. Smith; Witold F. Krajewski

1991-04-01T23:59:59.000Z

370

Development and use of the GREET model to estimate fuel-cycle energy use and emissions of various transportation technologies and fuels  

SciTech Connect

This report documents the development and use of the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model. The model, developed in a spreadsheet format, estimates the full fuel- cycle emissions and energy use associated with various transportation fuels for light-duty vehicles. The model calculates fuel-cycle emissions of five criteria pollutants (volatile organic compounds, carbon monoxide, nitrogen oxides, sulfur oxides, and particulate matter measuring 10 microns or less) and three greenhouse gases (carbon dioxide, methane, and nitrous oxide). The model also calculates the total fuel-cycle energy consumption, fossil fuel consumption, and petroleum consumption using various transportation fuels. The GREET model includes 17 fuel cycles: petroleum to conventional gasoline, reformulated gasoline, clean diesel, liquefied petroleum gas, and electricity via residual oil; natural gas to compressed natural gas, liquefied petroleum gas, methanol, hydrogen, and electricity; coal to electricity; uranium to electricity; renewable energy (hydrogen, solar energy, and wind) to electricity; corn, woody biomass, and herbaceous biomass to ethanol; and landfill gases to methanol. This report presents fuel-cycle energy use and emissions for a 2000 model-year car powered by each of the fuels that are produced from the primary energy sources considered in the study.

Wang, M.Q.

1996-03-01T23:59:59.000Z

371

Estimating market penetration of new district heating and cooling systems using a combination of economic cost and diffusion models  

SciTech Connect

The economic-cost model and the diffusion model are among the many market-penetration forecasting approaches that are available. These approaches have been used separately in many applications. In this paper, the authors briefly review these two approaches and then describe a methodology for forecasting market penetration using both approaches sequentially. This methodology is illustrated with the example of market-penetration forecasting of new district heating and cooling (DHC) systems in the Argonne DHC Market Penetration Model, which was developed and used over the period 1979--1983. This paper discusses how this combination approach, which incorporates the strengths of the economic-cost and diffusion models, has been superior to any one approach for market forecasts of DHC systems. Also discussed are the required modifications for revising and updating the model in order to generate new market-penetration forecasts for DHC systems. These modifications are required as a result of changes in DHC engineering, economic, and market data from 1983 to 1990. 13 refs., 5 figs., 2 tabs.

Teotia, A.P.S.; Karvelas, D.E.

1991-05-10T23:59:59.000Z

372

Models  

E-Print Network (OSTI)

• A very typical statistical/econometric model assumes something like yt ? i.i.d. f (y, x, ?) (1) where f (·) is a parametric family known up to parameters ?. • Parameter estimation: maximum likelihood ˆ?n = arg max ? ln f (Yt, Xt, ?) (2) t • What if the basic model assumptions of (1) are violated? The parametric family may not contain the true model f0(x, y) that generated the data; or the data may not be i.i.d.; etc. Misspecified

Stas Kolenikov; U Of Missouri; U Of Missouri

2007-01-01T23:59:59.000Z

373

Estimation dynamical model of an anaerobic digestion of shrimp culture pond sediment in a biogas process using genetic algorithm  

Science Conference Proceedings (OSTI)

Biogas is one type of renewable energy which is important to the energy and environmental planning of Thailand. The study and analysis of the dynamical model of the biogas process can be explained the variables that affect biogas process and optimization. ... Keywords: anaerobic digestion, artificial intelligence, biogas process, mass balance equation, system identification

Jiraphon Srisertpol; Prasit Srinakorn; Adtavirod Kheawnak; Kontorn Chamniprasart; Arthit Srikaew

2010-10-01T23:59:59.000Z

374

Estimating Eddy Stresses by Fitting Dynamics to Observations Using a Residual-Mean Ocean Circulation Model and Its Adjoint  

Science Conference Proceedings (OSTI)

A global ocean circulation model is formulated in terms of the “residual mean” and used to study eddy–mean flow interaction. Adjoint techniques are used to compute the three-dimensional eddy stress field that minimizes the departure of the coarse-...

David Ferreira; John Marshall; Patrick Heimbach

2005-10-01T23:59:59.000Z

375

GeoSys.Chem: Estimate of reservoir fluid characteristics as first step in geochemical modeling of geothermal systems  

Science Conference Proceedings (OSTI)

A computer code GeoSys.Chem for the calculation of deep geothermal reservoir fluid characteristics from the measured physical-chemical parameters of separated water and condensed vapor samples obtained from drilled wells is presented. It was written ... Keywords: GeoChem, GeoSys.Chem, Geochemical modeling, Los Azufres, VB.NET

Mahendra P. Verma

2012-12-01T23:59:59.000Z

376

Two dose-estimation models CSA-N288.1 and Nureg 1.109, 1.113 - compared for chronic aquatic releases from nuclear facilities  

E-Print Network (OSTI)

Both the Canadian Standards Association (CSA) and the United States Nuclear Regulatory Commission (US-NRC) have published guidelines for the calculation of doses to the public due to emissions from nuclear facilities. In the sale of CANDU reactors overseas, either of these guidelines may be used as part of the approval process in the recipient country. This study compares the aquatic exposure pathways described in the guidelines. These include direct consumption of contaminated water and food, and exposure to contaminated sediments. The CSA and US-NRC guidelines for estimating dilution of aquatic emissions are of a general nature and the choice of model used to quantify dilution is left to the user. The models prescribed for the different exposure pathways by these two regulatory guides are similar in many attributes. Many of the recommended parameter values are identical and many of the formulations are either identical, or become identical under general conditions. However, despite these similarities, there...

Sheppard, S C; Peterson, S R

2000-01-01T23:59:59.000Z

377

Ensemble Single Column Modeling in the Tropics - Derivation of observed forcing data sets, estimation of observation uncertainty and application to parametrization improvements  

SciTech Connect

The project was carried out in 2 distinct phases. In the first phase we established the general validity of using an ensemble approach to Single Column Modeling (SCM) using the Manus and Nauru sites. In the second phase we derived and applied an ensemble forcing derivation technique to observations. First we derived an ensemble forcing estimate for the TWP-ICE experiment and then by extended the method to provide three wet seasons of â??continuous ensemble forcingâ? for the Darwin site. The main purpose of using ensemble techniques in SCM simulation is to be able to assess how much of the overall SCM simulation error is due to model errors and how much due to errors in the forcing.

Jakob, Christian

2012-07-06T23:59:59.000Z

378

Angular Distribution Models for Top-of-Atmosphere Radiative Flux Estimation from the Clouds and the Earth's Radiant Energy System Instrument on the Tropical Rainfall Measuring Mission Satellite. Part II: Validation  

Science Conference Proceedings (OSTI)

Top-of-atmosphere (TOA) radiative fluxes from the Clouds and the Earth's Radiant Energy System (CERES) are estimated from empirical angular distribution models (ADMs) that convert instantaneous radiance measurements to TOA fluxes. This paper ...

Norman G. Loeb; Konstantin Loukachine; Natividad Manalo-Smith; Bruce A. Wielicki; David F. Young

2003-12-01T23:59:59.000Z

379

Estimating the Influence of Evaporation and Moisture-Flux Convergence upon Seasonal Precipitation Rates. Part II: An Analysis for North America Based upon the NCEP–DOE Reanalysis II Model  

Science Conference Proceedings (OSTI)

In this paper, a diagnostic metric—termed the local-convergence ratio—is used to analyze the contribution of evaporation and atmospheric moisture-flux convergence to model-based estimates of climatological precipitation over the North American ...

Bruce T. Anderson; Alex C. Ruane; John O. Roads; Masao Kanamitsu

2009-08-01T23:59:59.000Z

380

ESTIMATION AND MODELING OF FOREST ATTRIBUTES ACROSS LARGE SPATIAL SCALES USING BIOMEBGC, HIGH-RESOLUTION IMAGERY, LIDAR DATA, AND INVENTORY DATA.  

E-Print Network (OSTI)

??The accurate estimation of forest attributes at many different spatial scales is a critical problem. Forest landowners may be interested in estimating timber volume, forest… (more)

Golinkoff, Jordan Seth

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

Top-down estimate of anthropogenic emission inventories and their interannual variability in Houston using a mesoscale inverse modeling technique  

SciTech Connect

The 2000 and 2006 Texas Air Quality Study (TexAQS 2000 and 2006) field campaigns took place in eastern Texas in August-October of 2000 and 2006. Several flights of the National Oceanic and Atmospheric Administration (NOAA) and National Center for Atmospheric Research (NCAR) research aircraft were dedicated to characterizing anthropogenic emissions over Houston. Houston is known for having serious problems with non-attainment of air quality standards. We present a method that uses three models and aircraft observations to assess and improve existing emission inventories using an inverse modeling technique. We used 3-dimensional and 4-dimensional variational (3D-VAR and 4D-VAR) inverse modeling techniques based on a least-squares method to improve the spatial and temporal distribution of CO, NOy (sum of all reactive nitrogen compounds), and SO2 emissions predicted by the 4-km-resolution U.S. Environmental Protection Agency (EPA) National Emission Inventory (NEI) for 2005. Differences between the prior and posterior inventories are discussed in detail. We found that in 2006 the prior daytime emissions in the urban area of Houston have to be reduced by 40% {+-} 12% for CO and 7% {+-} 13% for NOy. Over the Houston Ship Channel, where industrial emissions are predominant, the prior emissions have to be reduced by 41% {+-} 15% for CO and 51% {+-} 9% for NOy. Major ports around Houston have their NOy emissions reduced as well, probably due to uncertainties in near-shore ship emissions in the EPA NEI inventory. Using the measurements from the two field campaigns, we assessed the interannual emission variability between 2000 and 2006. Daytime CO emissions from the Houston urban area have been reduced by 8% {+-} 20%, while the NOy emissions have increased by 20% {+-} 12% from 2000 to 2006. In the Houston Ship Channel, the daytime NOy emissions have increased by 13% {+-} 17%. Our results show qualitative consistencies with known changes in Houston emissions sources.

Brioude, J.; Kim, S. W.; Angevine, Wayne M.; Frost, G. J.; Lee, S. H.; McKeen, S. A.; Trainer, Michael; Fehsenfeld, Fred C.; Holloway, J. S.; Ryerson, T. B.; Williams, E. J.; Petron, Gabrielle; Fast, Jerome D.

2011-10-31T23:59:59.000Z

382

Estimated Water Flows in 2005: United States  

Science Conference Proceedings (OSTI)

Flow charts depicting water use in the United States have been constructed from publicly available data and estimates of water use patterns. Approximately 410,500 million gallons per day of water are managed throughout the United States for use in farming, power production, residential, commercial, and industrial applications. Water is obtained from four major resource classes: fresh surface-water, saline (ocean) surface-water, fresh groundwater and saline (brackish) groundwater. Water that is not consumed or evaporated during its use is returned to surface bodies of water. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states in addition to Puerto Rico and the Virgin Islands) and one national water flow chart representing a comprehensive systems view of national water resources, use, and disposition.

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

2011-03-16T23:59:59.000Z

383

Development of a kinetic model and calculation of radiation dose estimates for sodium iodide-{sup 131}I in athyroid individuals  

SciTech Connect

The treatment for some thyroid carcinomas involves surgically removing the thyroid gland and administering the radiopharmaceutical Sodium iodide-{sup 131}I (NaI). A diagnostic dose of NaI is given to the patient to determine if remnant tissue from the gland remains or larger doses are administered in order to treat the malignant tissue. Past research regarding NaI uptake and retention in euthyroid individuals (normal functioning thyroid) reveal that radioiodine concentrates mainly in the thyroid tissue and the remaining material is excreted from the body. The majority of radioiodine in athyroid (without thyroid) individuals is also eliminated from the body; however, there has been recent evidence of a long-term retention phase for individuals with no radioiodine concentrating tissue. The general purpose of this study was to develop a kinetic model and estimate the absorbed dose to athyroid individuals regarding the distribution and retention of NaI.

Rodriguez, M.

1997-07-01T23:59:59.000Z

384

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

Science Conference Proceedings (OSTI)

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

Zhengzheng Li; Yan Zhang; Scott E. Giangrande

2012-05-01T23:59:59.000Z

385

Blending Multiresolution Satellite Data with Application to the Initialization of an Orographic Precipitation Model  

Science Conference Proceedings (OSTI)

The use of multisensor, multifrequency satellite data to specify initial conditions for numerical weather prediction (NWP) models offers a unique opportunity to improve the depiction of small-scale processes in the atmosphere through a myriad of ...

Robert J. Kuligowski; Ana P. Barros

2001-09-01T23:59:59.000Z

386

A New Parametric Model of Vortex Tangential-Wind Profiles: Development, Testing, and Verification  

Science Conference Proceedings (OSTI)

A new parametric model of vortex tangential-wind profiles is presented that is primarily designed to depict realistic-looking tangential wind profiles such as those in intense atmospheric vortices arising in dust devils, waterspouts, tornadoes, ...

Vincent T. Wood; Luther W. White

2011-05-01T23:59:59.000Z

387

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

Science Conference Proceedings (OSTI)

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

Toshiaki Kozu; Kazuhiro Masuzawa; Toyoshi Shimomai; Nobuhisa Kashiwagi

2010-04-01T23:59:59.000Z

388

Estimation of unsaturated zone traveltimes for Rainier Mesa and Shoshone Mountain, Nevada Test Site, Nevada, using a source-responsive preferential-flow model  

SciTech Connect

Traveltimes for contaminant transport by water from a point in the unsaturated zone to the saturated zone are a concern at Rainier Mesa and Shoshone Mountain in the Nevada Test Site, Nevada. Where nuclear tests were conducted in the unsaturated zone, contaminants must traverse hundreds of meters of variably saturated rock before they enter the saturated zone in the carbonate rock, where the regional groundwater system has the potential to carry them substantial distances to a location of concern. The unsaturated-zone portion of the contaminant transport path may cause a significant delay, in addition to the time required to travel within the saturated zone, and thus may be important in the overall evaluation of the potential hazard from contamination. Downward contaminant transport through the unsaturated zone occurs through various processes and pathways; this can lead to a broad distribution of contaminant traveltimes, including exceedingly slow and unexpectedly fast extremes. Though the bulk of mobile contaminant arrives between the time-scale end members, the fastest contaminant transport speed, in other words the speed determined by the combination of possible processes and pathways that would bring a measureable quantity of contaminant to the aquifer in the shortest time, carries particular regulatory significance because of its relevance in formulating the most conservative hazard-prevention scenarios. Unsaturated-zone flow is usually modeled as a diffusive process responding to gravity and pressure gradients as mediated by the unsaturated hydraulic properties of the materials traversed. The mathematical formulation of the diffuse-flow concept is known as Richards' equation, which when coupled to a solute transport equation, such as the advection-dispersion equation, provides a framework to simulate contaminant migration in the unsaturated zone. In recent decades awareness has increased that much fluid flow and contaminant transport within the unsaturated zone takes place as preferential flow, faster than would be predicted by the coupled Richards' and advection-dispersion equations with hydraulic properties estimated by traditional means. At present the hydrologic community has not achieved consensus as to whether a modification of Richards' equation, or a fundamentally different formulation, would best quantify preferential flow. Where the fastest contaminant transport speed is what needs to be estimated, there is the possibility of simplification of the evaluation process. One way of doing so is by a two-step process in which the first step is to evaluate whether significant preferential flow and solute transport is possible for the media and conditions of concern. The second step is to carry out (a) a basic Richards' and advection-dispersion equation analysis if it is concluded that preferential flow is not possible or (b) an analysis that considers only the fastest possible preferential-flow processes, if preferential flow is possible. For the preferential-flow situation, a recently published model describable as a Source-Responsive Preferential-Flow (SRPF) model is an easily applied option. This report documents the application of this two-step process to flow through the thick unsaturated zones of Rainier Mesa and Shoshone Mountain in the Nevada Test Site. Application of the SRPF model involves distinguishing between continuous and intermittent water supply to preferential flow paths. At Rainier Mesa and Shoshone Mountain this issue is complicated by the fact that contaminant travel begins at a location deep in the subsurface, where there may be perched water that may or may not act like a continuous supply, depending on such features as the connectedness of fractures and the nature of impeding layers. We have treated this situation by hypothesizing both continuous and intermittent scenarios for contaminant transport to the carbonate aquifer and reporting estimation of the fastest speed for both of these end members.

Brian A. Ebel; John R. Nimmo

2009-09-11T23:59:59.000Z

389

Estimation, Economic methodology  

E-Print Network (OSTI)

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

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

2004-01-01T23:59:59.000Z

390

A Simple Atmospheric Model of Surface Heat Flux for Use in Ocean Modeling Studies  

Science Conference Proceedings (OSTI)

A simple model of the lower atmospheric layers and land/sea ice surface is described and analyzed. The model is able to depict with reasonable accuracy the global ocean heat fluxes. Due to the model's simplicity, insight into the mechanisms ...

Richard Kleeman; Scott B. Power

1995-01-01T23:59:59.000Z

391

Parametric Representation of the Primary Hurricane Vortex. Part I: Observations and Evaluation of the Holland (1980) Model  

Science Conference Proceedings (OSTI)

Although numerical models are essential to hurricane forecasting, many other applications require only statistical depiction of the wind distribution. In Holland's 1980 parametric profile, radius of maximum wind, maximum wind, and a measure of ...

H. E. Willoughby; M. E. Rahn

2004-12-01T23:59:59.000Z

392

Semidiurnal Variations in the Budget of Angular Momentum in a General Circulation Model and in the Real Atmosphere  

Science Conference Proceedings (OSTI)

Diurnal and semidiurnal variations in the budget of atmospheric angular momentum are evident in a simulation by the NCAR Community Climate Model (CCM2). These variations depicted with 20-min time resolution (each time step) are used as guides to ...

Roland A. Madden; Harald Lejenäs; James Hack

1998-08-01T23:59:59.000Z

393

U.S. West Coast Surface Heat Fluxes, Wind Stress, and Wind Stress Curl from a Mesoscale Model  

Science Conference Proceedings (OSTI)

Monthly averages of numerical model fields are beneficial for depicting patterns in surface forcing such as sensible and latent heat fluxes, wind stress, and wind stress curl over data-sparse ocean regions. Grid resolutions less than 10 km ...

T. Haack; S. D. Burk; R. M. Hodur

2005-11-01T23:59:59.000Z

394

Estimation of hydraulic properties and development of a layered conceptual model for the Snake River plain aquifer at the Idaho National Engineering Laboratory, Idaho  

SciTech Connect

The Idaho INEL Oversight Program, in association with the University of Idaho, Idaho Geological Survey, Boise State University, and Idaho State University, developed a research program to determine the hydraulic properties of the Snake River Plain aquifer and characterize the vertical distribution of contaminants. A straddle-packer was deployed in four observation wells near the Idaho Chemical Processing Plant at the Idaho National Engineering Laboratory. Pressure transducers mounted in the straddle-packer assembly were used to monitor the response of the Snake River Plain aquifer to pumping at the ICPP production wells, located 2600 to 4200 feet from the observation wells. The time-drawdown data from these tests were used to evaluate various conceptual models of the aquifer. Aquifer properties were estimated by matching time-drawdown data to type curves for partially penetrating wells in an unconfined aquifer. This approach assumes a homogeneous and isotropic aquifer. The hydraulic properties of the aquifer obtained from the type curve analyses were: (1) Storativity = 3 x 10{sup -5}, (2) Specific Yield = 0.01, (3) Transmissivity = 740 ft{sup 2}/min, (4) Anisotropy (Kv:Kh)= 1:360.

Frederick, D.B.; Johnson, G.S.

1996-02-01T23:59:59.000Z

395

Sampling Errors of SSM/I and TRMM Rainfall Averages: Comparison with Error Estimates from Surface Data and a Simple Model  

Science Conference Proceedings (OSTI)

Quantitative use of satellite-derived maps of monthly rainfall requires some measure of the accuracy of the satellite estimates. The rainfall estimate for a given map grid box is subject to both remote sensing error and, especially in the case of ...

Thomas L. Bell; Prasun K. Kundu; Christian D. Kummerow

2001-05-01T23:59:59.000Z

396

Design and Analysis of Salmonid Tagging Studies in the Columbia Basin, Volume VIII; New Model for Estimating Survival Probabilities and Residualization from a Release-Recapture Study of Fall Chinook Salmon Smolts in the Snake River, 1995 Technical Report.  

SciTech Connect

Standard release-recapture analysis using Cormack-Jolly-Seber (CJS) models to estimate survival probabilities between hydroelectric facilities for Snake River fall chinook salmon (Oncorhynchus tschawytscha) ignore the possibility of individual fish residualizing and completing their migration in the year following tagging.

Lowther, Alan B.; Skalski, John R. (University of Washington, School of Fisheries, Fisheries Research Institute, Seattle, WA)

1997-09-01T23:59:59.000Z

397

Computer modelling and estimation of recruitment patterns of non-branching coral colonies at three sites in the Wakatobi Marine Park, S.E. Sulawesi, Indonesia; implications for coral reef conservation  

Science Conference Proceedings (OSTI)

We have studied growth and estimated recruitment of massive coral colonies at three sites, Kaledupa, Hoga and Sampela, separated by about 1.5 km in the Wakatobi Marine National Park, S.E. Sulawesi, Indonesia. There was significantly higher species richness ... Keywords: Acropora, Anthropogenic effects, Banjo, Coral growth, Coral mining, Modelling, Sedimentation, Transects, Videophotography, Visibility

M.James C Crabbe; David J Smith

2003-02-01T23:59:59.000Z

398

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

Science Conference Proceedings (OSTI)

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

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

2002-05-01T23:59:59.000Z

399

NPP Estimation for Grasslands  

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

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

400

Evaluation of the Complementary Relationship Using Noah Land Surface Model and North American Regional Reanalysis (NARR) Data to Estimate Evapotranspiration in Semiarid Ecosystems  

Science Conference Proceedings (OSTI)

Estimating evapotranspiration using the complementary relationship can serve as a proxy to more sophisticated physically based approaches and can be used to better understand water and energy budget feedbacks. The authors investigated the ...

W. Thilini Jaksa; Venkataramana Sridhar; Justin L. Huntington; Mandar Khanal

2013-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

ARM Climate Modeling Best Estimate from Manus Island, PNG with additional satellite product (ARMBE-CLDRAD TWPC1 V2.1a)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

402

ARM Climate Modeling Best Estimate from Darwin, AU with additional satellite product (ARMBE-CLDRAD TWPC3 V2.1a)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

403

ARM Climate Modeling Best Estimate Barrow, AK with additional satellite product (ARMBE-CLDRAD NSAC1 V2.1a)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

404

ARM Climate Modeling Best Estimate from Nauru with additional satellite product (ARMBE-CLDRAD TWPC2 V2.1a)  

DOE Data Explorer (OSTI)

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

405

An Evaluation of Two Models for Estimation of the Roughness Height for Heat Transfer between the Land Surface and the Atmosphere  

Science Conference Proceedings (OSTI)

Roughness height for heat transfer is a crucial parameter in estimation of heat transfer between the land surface and the atmosphere. Although many empirical formulations have been proposed over the past few decades, the uncertainties associated ...

Z. Su; T. Schmugge; W. P. Kustas; W. J. Massman

2001-11-01T23:59:59.000Z

406

ARM Climate Modeling Best Estimate from Manus Island, PNG with additional satellite product (ARMBE-CLDRAD TWPC1 V2.1a)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2011-02-07T23:59:59.000Z

407

ARM Climate Modeling Best Estimate Barrow, AK with additional satellite product (ARMBE-CLDRAD NSAC1 V2.1a)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2011-02-07T23:59:59.000Z

408

ARM Climate Modeling Best Estimate from Nauru with additional satellite product (ARMBE-CLDRAD TWPC2 V2.1a)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2011-02-07T23:59:59.000Z

409

ARM Climate Modeling Best Estimate from Darwin, AU with additional satellite product (ARMBE-CLDRAD TWPC3 V2.1a)  

SciTech Connect

The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

Renata McCoy; Shaocheng Xie

2011-02-07T23:59:59.000Z

410

Effects of the Choice of Meteorological Data on a Radiation Model Simulation of the NOAA Technique for Estimating Outgoing Longwave Radiation from Satellite Radiance Observations  

Science Conference Proceedings (OSTI)

The technique used by NOAA to estimate the outgoing longwave flux from 10 ?m window radiance observations has been reexamined because the data that result from the application of the empirically determined regression equation are systematically ...

Robert G. Ellingson; David J. Yanuk; Arnold Gruber

1989-08-01T23:59:59.000Z

411

Estimate product quality with ANNs  

Science Conference Proceedings (OSTI)

Artificial neural networks (ANNs) have been applied to predict catalytic reformer octane number (ON) and gasoline splitter product qualities. Results show that ANNs are a valuable tool to derive fast and accurate product quality measurements, and offer a low-cost alternative to online analyzers or rigorous mathematical models. The paper describes product quality measurements, artificial neural networks, ANN structure, estimating gasoline octane numbers, and estimating naphtha splitter product qualities.

Brambilla, A. [Univ. of Pisa (Italy); Trivella, F. [Adicon Advanced Distillation Control SrL, Pisa (Italy)

1996-09-01T23:59:59.000Z

412

Rainfall Estimation in the Sahel: What Is the Ground Truth?  

Science Conference Proceedings (OSTI)

Areal rainfall estimation from ground sensors is essential as a direct input to various hydrometeorological models or as a validation of remote sensing estimates. More critical than the estimation itself is the assessment of the uncertainty ...

Thierry Lebel; Abou Amani

1999-05-01T23:59:59.000Z

413

Using a three-dimensional particle-tracking model to estimate the residence time and age of water in a tidal estuary  

Science Conference Proceedings (OSTI)

A three-dimensional hydrodynamic model that includes a Lagrangian particle-tracking simulation was applied to the Danshuei River estuarine system in northern Taiwan. The model's accuracy was validated with data from 1999; the results from the model agreed ... Keywords: Age, Currents, Freshwater discharge, Models, Particle tracking, Residence time, Salinity

Wen-Cheng Liu; Wei-Bo Chen; Ming-Hsi Hsu

2011-08-01T23:59:59.000Z

414

Interruption Cost Estimate Calculator | Open Energy Information  

Open Energy Info (EERE)

Interruption Cost Estimate Calculator Interruption Cost Estimate Calculator Jump to: navigation, search Tool Summary Name: Interruption Cost Estimate (ICE) Calculator Agency/Company /Organization: Freeman, Sullivan & Co. Sector: Energy Focus Area: Grid Assessment and Integration, Energy Efficiency Resource Type: Online calculator, Software/modeling tools User Interface: Website Website: icecalculator.com/ Country: United States Cost: Free Northern America References: [1] Logo: Interruption Cost Estimate (ICE) Calculator This calculator is a tool designed for electric reliability planners at utilities, government organizations or other entities that are interested in estimating interruption costs and/or the benefits associated with reliability improvements. About The Interruption Cost Estimate (ICE) Calculator is an electric reliability

415

Estimated Global Hydrographic Variability  

Science Conference Proceedings (OSTI)

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

Gaël Forget; Carl Wunsch

2007-08-01T23:59:59.000Z

416

CONTRIBUTED to ASA/Q&P, ASA/SPES, and IMS JRC 2000 Spatial Spectral Estimation for Reactor Modelling and Control  

E-Print Network (OSTI)

CONTRIBUTED to ASA/Q&P, ASA/SPES, and IMS JRC 2000 Spatial Spectral Estimation for Reactor grid over a circular region. The measurements are of gas temperatures at channel outlets in a nuclear reactor, which are in uenced by the age of the fuel in the channels. Multiple Slepian tapers de ned over

Scarrott, Carl

417

A new method to estimate three-dimensional residual mean circulation in the middle atmosphere and its application to gravity-wave resolving general circulation model data  

Science Conference Proceedings (OSTI)

We propose a new method to estimate three-dimensional (3-d) material circulation driven by waves based on recently-derived formulas by Kinoshita and Sato that are applicable both to Rossby waves and to gravity waves. The residual mean flow is ...

Kaoru Sato; Takenari Kinoshita; Kota Okamoto

418

Review of BEIS3 Formulation and Consequences Relative to Air Quality Standards: Estimation of Effects of Uncertainties in BEIS3 Emissions on Uncertainties in Ozone Predictions by Chemical Transport Models  

Science Conference Proceedings (OSTI)

The U.S. Environmental Protection Agency (EPA) developed the Biogenics Emissions Inventory System, Version 3 (BEIS3) to estimate emissions of biogenic substances such as isoprene, monoterpenes, oxygenated volatile organic compounds, and biogenic nitric oxide. These biogenic emissions are inputs to chemical transport models (CTMs) used for calculating ambient concentrations of ozone and other pollutants. The outputs of the CTMs are then used to set policies concerning emission reductions needed from indus...

2003-07-17T23:59:59.000Z

419

Internal Dose Estimates from  

E-Print Network (OSTI)

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

420

Structural Workshop Paper---Estimating Discrete Games  

Science Conference Proceedings (OSTI)

This paper provides a critical review of the methods for estimating static discrete games and their relevance for quantitative marketing. We discuss the various modeling approaches, alternative assumptions, and relevant trade-offs involved in taking ... Keywords: discrete choice, games estimation, structural models

Paul B. Ellickson; Sanjog Misra

2011-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

Estimated United States Residential Energy Use in 2005  

DOE Green Energy (OSTI)

A flow chart depicting energy flow in the residential sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 11,000 trillion British Thermal Units (trBTUs) of electricity and fuels were used throughout the United States residential sector in lighting, electronics, air conditioning, space heating, water heating, washing appliances, cooking appliances, refrigerators, and other appliances. The residential sector is powered mainly by electricity and natural gas. Other fuels used include petroleum products (fuel oil, liquefied petroleum gas and kerosene), biomass (wood), and on-premises solar, wind, and geothermal energy. The flow patterns represent a comprehensive systems view of energy used within the residential sector.

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

2011-12-12T23:59:59.000Z

422

Generating seamless surfaces for transport and dispersion modeling in GIS  

Science Conference Proceedings (OSTI)

A standard use of triangulation in GIS is to model terrain surface using TIN. In many simulation models of physical phenomena, triangulation is often used to depict the entire spatial domain, which may include buildings, landmarks and other surface objects ... Keywords: CAD, Computational fluid dynamics, Computational geometry, GIS, Mesh generation, Transport and dispersion

Fernando Camelli; Jyh-Ming Lien; Dayong Shen; David W. Wong; Matthew Rice; Rainald Löhner; Chaowei Yang

2012-04-01T23:59:59.000Z

423

Radiation dose estimates for radiopharmaceuticals  

SciTech Connect

Tables of radiation dose estimates based on the Cristy-Eckerman adult male phantom are provided for a number of radiopharmaceuticals commonly used in nuclear medicine. Radiation dose estimates are listed for all major source organs, and several other organs of interest. The dose estimates were calculated using the MIRD Technique as implemented in the MIRDOSE3 computer code, developed by the Oak Ridge Institute for Science and Education, Radiation Internal Dose Information Center. In this code, residence times for source organs are used with decay data from the MIRD Radionuclide Data and Decay Schemes to produce estimates of radiation dose to organs of standardized phantoms representing individuals of different ages. The adult male phantom of the Cristy-Eckerman phantom series is different from the MIRD 5, or Reference Man phantom in several aspects, the most important of which is the difference in the masses and absorbed fractions for the active (red) marrow. The absorbed fractions for flow energy photons striking the marrow are also different. Other minor differences exist, but are not likely to significantly affect dose estimates calculated with the two phantoms. Assumptions which support each of the dose estimates appears at the bottom of the table of estimates for a given radiopharmaceutical. In most cases, the model kinetics or organ residence times are explicitly given. The results presented here can easily be extended to include other radiopharmaceuticals or phantoms.

Stabin, M.G.; Stubbs, J.B.; Toohey, R.E. [Oak Ridge Inst. of Science and Education, TN (United States). Radiation Internal Dose Information Center

1996-04-01T23:59:59.000Z

424

Estimated Carbon Dioxide Emissions in 2008: United States  

Science Conference Proceedings (OSTI)

Flow charts depicting carbon dioxide emissions in the United States have been constructed from publicly available data and estimates of state-level energy use patterns. Approximately 5,800 million metric tons of carbon dioxide were emitted throughout the United States for use in power production, residential, commercial, industrial, and transportation applications in 2008. Carbon dioxide is emitted from the use of three major energy resources: natural gas, coal, and petroleum. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states, the District of Columbia, and one national) carbon dioxide flow charts representing a comprehensive systems view of national CO{sub 2} emissions. Lawrence Livermore National Lab (LLNL) has published flow charts (also referred to as 'Sankey Diagrams') of important national commodities since the early 1970s. The most widely recognized of these charts is the U.S. energy flow chart (http://flowcharts.llnl.gov). LLNL has also published charts depicting carbon (or carbon dioxide potential) flow and water flow at the national level as well as energy, carbon, and water flows at the international, state, municipal, and organizational (i.e. United States Air Force) level. Flow charts are valuable as single-page references that contain quantitative data about resource, commodity, and byproduct flows in a graphical form that also convey structural information about the system that manages those flows. Data on carbon dioxide emissions from the energy sector are reported on a national level. Because carbon dioxide emissions are not reported for individual states, the carbon dioxide emissions are estimated using published energy use information. Data on energy use is compiled by the U.S. Department of Energy's Energy Information Administration (U.S. EIA) in the State Energy Data System (SEDS). SEDS is updated annually and reports data from 2 years prior to the year of the update. SEDS contains data on primary resource consumption, electricity generation, and energy consumption within each economic sector. Flow charts of state-level energy usage and explanations of the calculations and assumptions utilized can be found at: http://flowcharts.llnl.gov. This information is translated into carbon dioxide emissions using ratios of carbon dioxide emissions to energy use calculated from national carbon dioxide emissions and national energy use quantities for each particular sector. These statistics are reported annually in the U.S. EIA's Annual Energy Review. Data for 2008 (US. EIA, 2010) was updated in August of 2010. This is the first presentation of a comprehensive state-level package of flow charts depicting carbon dioxide emissions for the United States.

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

2011-04-01T23:59:59.000Z

425

Application of the CALIOP Layer Product to Evaluate the Vertical Distribution of Aerosols Estimated by Global Models: AeroCom Phase I Results  

Science Conference Proceedings (OSTI)

The CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) layer product is used for a multimodel evaluation of the vertical distribution of aerosols. Annual and seasonal aerosol extinction profiles are analyzed over 13 sub-continental regions representative of industrial, dust, and biomass burning pollution, from CALIOP 2007-2009 observations and from AeroCom (Aerosol Comparisons between Observations and Models) 2000 simulations. An extinction mean height diagnostic (Z{sub a}) is defined to quantitatively assess the models performance. It is calculated over the 0-6 km and 0-10 km altitude ranges by weighting the altitude of each 100 m altitude layer by its aerosol extinction coefficient. The mean extinction profiles derived from CALIOP layer products provide consistent regional and seasonal specificities and a low inter-annual variability. While the outputs from most models are significantly correlated with the observed Z{sub a} climatologies, some do better than others, and 2 of the 12 models perform particularly well in all seasons. Over industrial and maritime regions, most models show higher Z{sub a} than observed by CALIOP, whereas over the African and Chinese dust source regions, Z{sub a} is underestimated during Northern Hemisphere Spring and Summer. The positive model bias in Z{sub a} is mainly due to an overestimate of the extinction above 6 km. Potential CALIOP and model limitations, and methodological factors that might contribute to the differences are discussed.

Koffi, Brigitte; Schultz, Michael; Breon, Francois-Marie; Griesfeller, Jan; Winker, D.; Balkanski, Y.; Bauer, Susanne E.; Berntsen, T.; Chin, Mian; Collins, William D.; Dentener, Frank; Diehl, Thomas; Easter, Richard C.; Ghan, Steven J.; Ginoux, P.; Gong, S.; Horowitz, L.; Iversen, T.; Kirkevag, A.; Koch, Dorothy; Krol, Maarten; Myhre, G.; Stier, P.; Takemura, T.

2012-05-19T23:59:59.000Z

426

A Comparison of Australian Open Water Body Evaporation Trends for Current and Future Climates Estimated from Class A Evaporation Pans and General Circulation Models  

Science Conference Proceedings (OSTI)

Trends of decreasing pan evaporation around the world have renewed interest in evaporation and its behavior in a warming world. Observed pan evaporation around Australia has been modeled to attribute changes in its constituent variables. It is ...

Fiona Johnson; Ashish Sharma

2010-02-01T23:59:59.000Z

427

Use of a Radar Simulator on the Output Fields from a Numerical Mesoscale Model to Analyze X-Band Rain Estimators  

Science Conference Proceedings (OSTI)

A full radar simulator, which works with the 3D output fields from a numerical mesoscale model, has been developed. This simulator uses a T-matrix code to calculate synthetic radar measurements, accounts for both backscattering and propagation ...

E-P. Zahiri; M. Gosset; J-P. Lafore; V. Gouget

2008-03-01T23:59:59.000Z

428

Estimating the Effects on the Regional Precipitation Climate in a Semiarid Region Caused by an Artificial Lake Using a Mesoscale Model  

Science Conference Proceedings (OSTI)

The effects on the regional precipitation climate by the construction of an artificial lake, in a semiarid region are studied. The study is performed using a mesoscale model to identify the larger-scale meteorological conditions when ...

Leif Enger; Michael Tjernström

1991-02-01T23:59:59.000Z

429

Satellite-based estimates of net radiation and modeling the role of topography and vegetation on inter-annual hydro-climatology  

E-Print Network (OSTI)

The Fourth Assessment Report of the Intergovernmental Panel on Climate Change acknowledged that the lack of relevant observations in various regions of the world is a crucial gap in understanding and modeling impacts of ...

Bisht, Gautam

2010-01-01T23:59:59.000Z

430

PRISM 2.0: Estimating Energy Substitution Parameters for the U.S. Regional Economy, Greenhouse Gas, and Energy (US-REGEN) Model  

Science Conference Proceedings (OSTI)

Under the PRISM 2.0 Project, the Electric Power Research Institute (EPRI) developed the U.S. Regional Economy, Greenhouse Gas, and Energy (US-REGEN) model that can assess the impact of various climate, energy, and environmental policies on the electric power sector, the energy system, and the overall U.S. economy. This model represents energy efficiency potential through elasticities of substitution between energy and capital. EPRI has contracted with M. K. Jaccard and Associates Inc. to determine ...

2013-09-30T23:59:59.000Z

431

ESTIMATING FATE AND TRANSPORT OF MULTIPLE CONTAMINANTS IN THE VADOSE ZONE USING A MULTI-LAYERED SOIL COLUMN AND THREE-PHASE EQUILIBRIUM PARTITIONING MODEL  

SciTech Connect

Soils at waste sites must be evaluated for the potential of residual soil contamination to leach and migrate to the groundwater beneath the disposal area. If migration to the aquifer occurs, contaminants can travel vast distances and contaminate drinking water wells, thus exposing human receptors to harmful levels of toxins and carcinogens. To prevent groundwater contamination, a contaminant fate and transport analysis is necessary to assess the migration potential of residual soil contaminates. This type of migration analysis is usually performed using a vadose zone model to account for complex geotechnical and chemical variables including: contaminant decay, infiltration rate, soil properties, vadose zone thickness, and chemical behavior. The distinct advantage of using a complex model is that less restrictive, but still protective, soil threshold levels may be determined avoiding the unnecessary and costly remediation of marginally contaminated soils. However, the disadvantage of such modeling is the additional cost for data collection and labor required to apply these models. In order to allay these higher costs and to achieve a less restrictive but still protective clean-up level, a multiple contaminant and multi layered soil column equilibrium partitioning model was developed which is faster, simpler and less expensive to use.

Rucker, G

2007-05-01T23:59:59.000Z

432

Statistics of Sxy Estimates  

Science Conference Proceedings (OSTI)

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

M. H. Freilich; S. S. Pawka

1987-10-01T23:59:59.000Z

433

Cost Estimation Recommendations  

Science Conference Proceedings (OSTI)

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

434

A semi-analytical model for heat and mass transfer in geothermal reservoirs to estimate fracture surface-are-to-volume ratios and thermal breakthrough using thermally-decaying and diffusing tracers  

SciTech Connect

A semi-analytical model was developed to conduct rapid scoping calculations of responses of thermally degrading and diffusing tracers in multi-well tracer tests in enhanced geothermal systems (EGS). The model is based on an existing Laplace transform inversion model for solute transport in dual-porosity media. The heat- and mass-transfer calculations are decoupled and conducted sequentially, taking advantage of the fact that heat transfer between fractures and the rock matrix is much more rapid than mass transfer and therefore mass transfer will effectively occur in a locally isothermal system (although the system will be nonisothermal along fracture flow pathways, which is accounted for by discretizing the flow pathways into multiple segments that have different temperature histories). The model takes advantage of the analogies between heat and mass transfer, solving the same governing equations with k{sub m}/({rho}C{sub p}){sub w} being substituted for {phi}D{sub m} in the equation for fracture transport and k{sub m}/({rho}C{sub p}){sub m} being subsituted for D{sub m} in the equation for matrix transport; where k = thermal conductivity (cal/cm-s-K), {rho} = density (g/cm{sup 3}), C{sub p} = heat capacity (at constant pressure) (cal/g-K), {phi} = matrix porosity, and D = tracer diffusion coefficient (cm{sup 2}/s), with the subscripts w and m referring to water and matrix, respectively. A significant advantage of the model is that it executes in a fraction of second on a single-CPU personal computer, making it very amenable for parameter estimation algorithms that involve repeated runs to find global minima. The combined thermal-mass transport model was used to evaluate the ability to estimate when thermal breakthrough would occur in a multi-well EGS configuration using thermally degrading tracers. Calculations were conducted to evaluate the range of values of Arrhenius parameters, A and E{sub {alpha}} (pre-exponential factor, 1/s, and activation energy, cal/mol) required to obtain interpretable responses of thermally-degrading tracers that decay according to the rate constant k{sub d} = Ae{sup -E{sub {alpha}}/RT}, where k{sub d} = decay rate constant (1/s), R = ideal gas constant (1.987 cal/mol-K), and T = absolute temperature (K). It is shown that there are relatively narrow ranges of A and E{sub {alpha}} that will result in readily interpretable tracer responses for any given combination of ambient reservoir temperature and working fluid residence time in a reservoir. The combined model was also used to simulate the responses of conservative tracers with different diffusion coefficients as a way of estimating fracture surface-area-to-volume ratios (SA/V) in multi-well EGS systems. This method takes advantage of the fact that the differences in breakthrough curves of tracers with different matrix diffusion coefficients are a function of SA/V. The model accounts for differences in diffusion coefficients as a function of temperature so that tracer responses obtained at different times can be used to obtain consistent estimates of SA/V as the reservoir cools down. Some single-well applications of this approach are simulated with a numerical model to demonstrate the potential to evaluate the effectiveness of EGS stimulations before a second well is drilled.

Reimus, Paul W [Los Alamos National Laboratory

2010-12-08T23:59:59.000Z

435

A Hybrid Method of Direct Estimation Sea State Bias Models Remko Scharroo Delft Institute for Earth-Oriented Space Research, DUT  

E-Print Network (OSTI)

or parameterization in data-rich zones of the Wind Speed (U) and Wave Height (SWH) space: we retain the full detail contaminated by sea ice or rain cells. The structure of the SSB model is revealed after averaging data over extends the analysis to regions of the wind/wave domain poorly resolved by the data. ERS-1 Phase C - OPR V

436

State energy data report 1994: Consumption estimates  

Science Conference Proceedings (OSTI)

This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

NONE

1996-10-01T23:59:59.000Z

437

Cosmological parameter estimation from CMB experiments  

Science Conference Proceedings (OSTI)

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

Amedeo Balbi

2001-01-01T23:59:59.000Z

438

Swarm intelligence approaches to estimate electricity energy demand in Turkey  

Science Conference Proceedings (OSTI)

This paper proposes two new models based on artificial bee colony (ABC) and particle swarm optimization (PSO) techniques to estimate electricity energy demand in Turkey. ABC and PSO electricity energy estimation models (ABCEE and PSOEE) are developed ... Keywords: Ant colony optimization, Artificial bee colony, Electricity energy estimation, Particle swarm optimization, Swarm intelligence

Mustafa Servet K?Ran; Eren ÖZceylan; Mesut GüNdüZ; Turan Paksoy

2012-12-01T23:59:59.000Z

439

Interim Report for Advanced Topology Estimator Project  

Science Conference Proceedings (OSTI)

The Advanced Topology Estimator is a critical component in an overall system that will allow operational models of large-scale interconnections to be built, validated, and maintained with a fraction of the time and effort required by traditional electricity management system (EMS) tools. This document provides an interim report on the development of the EPRI Advanced Topology Estimator, which will interface to the EPRI Control Center Application Program (CCAPI) Common Information Model (CIM).

2001-12-20T23:59:59.000Z

440

Derived Annual Estimates  

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

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

Note: This page contains sample records for the topic "depicting model estimates" 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

Derived Annual Estimates  

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

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

442

Estimating Corn Grain Yields  

E-Print Network (OSTI)

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

Blumenthal, Jurg M.; Thompson, Wayne

2009-06-12T23:59:59.000Z

443

Estimates of Uncertainty in Predictions of Global Mean Surface Temperature  

Science Conference Proceedings (OSTI)

A method for estimating uncertainty in future climate change is discussed in detail and applied to predictions of global mean temperature change. The method uses optimal fingerprinting to make estimates of uncertainty in model simulations of ...

J. A. Kettleborough; B. B. B. Booth; P. A. Stott; M. R. Allen

2007-03-01T23:59:59.000Z

444

A simple estimator for the distribution of random coefficients  

E-Print Network (OSTI)

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

Ryan, Stephen

445

On the Estimation of Climatological Z–R Relationships  

Science Conference Proceedings (OSTI)

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

Witold F. Krajewski; James A. Smith

1991-10-01T23:59:59.000Z

446

Shipping source level estimation for ambient noise forecasting  

Science Conference Proceedings (OSTI)

The ability to accurately estimate shipping source levels from ambient noise data is an essential step towards creating a forecast model of the ocean soundscape. Source level estimates can be obtained by solving the system of linear equations

Jeffrey S. Rogers; Steven L. Means; Stephen C. Wales

2012-01-01T23:59:59.000Z

447

Maximum Likelihood Estimation Using Parallel Computing: An Introduction to MPI  

Science Conference Proceedings (OSTI)

The computational difficulty of econometric problems has increased dramatically in recent years as econometricians examine more complicated models and utilize more sophisticated estimation techniques. Many problems in econometrics are `embarrassingly ... Keywords: MPI, maximum likelihood estimation, parallel computing, parallel programming

Christopher A. Swann

2002-04-01T23:59:59.000Z

448

Practical method for estimating wind characteristics at potential wind-energy-conversion sites  

DOE Green Energy (OSTI)

Terrain features and variations in the depth of the atmospheric boundary layer produce local variations in wind, and these variations are not depicted well by standard weather reports. A method is developed to compute local winds for use in estimating the wind energy available at any potential site for a wind turbine. The method uses the terrain heights for an area surrounding the site and a series of wind and pressure reports from the nearest four or five national Weather Service stations. An initial estimate of the winds in the atmospheric boundary layer is made, then these winds are adjusted to satisfy the continuity equation. In this manner the flow is made to reflect the influences of the terrain and the shape of the boundary-layer top. This report describes in detail the methodology and results, and provides descriptions of the computer programs, instructions for using them, and complete program listings.

Endlich, R. M.; Ludwig, F. L.; Bhumralkar, C. M.; Estoque, M. A.

1980-08-01T23:59:59.000Z

449

Microbial Impacts to the Near-Field Environment Geochemistry (MING): A Model for Estimating Microbial Communities in Repository Drifts at Yucca Mountain  

DOE Green Energy (OSTI)

Geochemical and microbiological modeling was performed to evaluate the potential quantities and impact of microorganisms on the geochemistry of the area adjacent to and within nuclear waste packages in the proposed repository drifts at Yucca Mountain, Nevada. The microbial growth results from the introduction of water, ground support, and waste package materials into the deep unsaturated rock. The simulations, which spanned one million years, were accomplished using a newly developed computer code, Microbial Impacts to the Near-Field Environment Geochemistry (MING). MING uses environmental thresholds for limiting microbial growth to temperatures below 120 C and above relative humidities of 90 percent in repository drifts. Once these thresholds are met, MING expands upon a mass balance and thermodynamic approach proposed by McKinley and others (1997), by using kinetic rates to supply constituents from design materials and constituent fluxes including solubilized rock components into the drift, to perform two separate mass-balance calculations as a function of time. The first (nutrient limit) assesses the available nutrients (C, N, P and S) and calculates how many microorganisms can be produced based on a microorganism stoichiometry of C{sub 160}(H{sub 280}O{sub 80})N{sub 30}P{sub 2}S. The second (energy limit) calculates the energy available from optimally combined redox couples for the temperature, and pH at that time. This optimization maximizes those reactions that produce > 15kJ/mol (limit on useable energy) using an iterative linear optimization technique. The final available energy value is converted to microbial mass at a rate of 1 kg of biomass (dry weight) for every 64 MJ of energy. These two values (nutrient limit and energy limit) are then compared and the smaller value represents the number of microorganisms that can be produced over a specified time. MING can also be adapted to investigate other problems of interest as the model can be used in saturated and unsaturated environments and in laboratory situations to establish microbial growth limitations. Other projected uses include investigations of contaminated locations where monitored natural attenuation or engineered bioremediation could be employed.

D.M. Jolley; T.F. Ehrhorn; J. Horn

2002-03-19T23:59:59.000Z

450

A conceptual model and preliminary estimate of potential tritium migration from the Benham (U-20c) site, Pahute Mesa, Nevada Test Site  

Science Conference Proceedings (OSTI)

U-20c is the site of a large below-water-table nuclear test near the Nevada Test Site boundary. A conceptual model of potential groundwater migration of tritium from U-20c is constructed and quantitatively evaluated in this report. The lower portion of the collapse chimney at Benham is expected to intersect 200 m of permeable rhyolite lava, overlain by similar thicknesses of low-permeability zeolitized bedded tuff, then permeable welded tuff. Vertical groundwater flow through the chimney is predicted to be minimal, horizontal transport should be controlled by the regional groundwater flow. Analytic solutions treating only advective transport indicate 1 to 2 km of tritium movement (95% confidence interval 0.7--2.5 km) within 5 years after test-related pressure-temperature transients have dissipated. This point lies at the axis of a potentiometric surface trough along the west edge of Area 20, Nevada Test Site. Within 25 years, movement is predicted to extend to 3 km (95% confidence interval 2--5 km) approximately to the intersection of the trough and the Nevada Test Site boundary. Considering the effects of radioactive decay, but not dispersion, plume concentration would fall below Safe Drinking Water Act standards by 204 years, at a predicted distance of 11 km (95% confidence interval 7--31 km). This point is located in the eastern portion of the Timber Mountain Caldera moat within the Nellis Air Force Range (military bombing range).

Brikowski, T.; Mahin, G. [Nevada Univ., Reno, NV (United States). Water Resources Center

1993-08-01T23:59:59.000Z

451

Cooling load estimation methods  

DOE Green Energy (OSTI)

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

McFarland, R.D.

1984-01-01T23:59:59.000Z

452

Estimating frequency of change  

Science Conference Proceedings (OSTI)

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

Junghoo Cho; Hector Garcia-Molina

2003-08-01T23:59:59.000Z

453

Development of an automated methodology for calibration of simplified air-side HVAC system models and estimation of potential savings from retrofit/commissioning measures  

E-Print Network (OSTI)

This dissertation provides one methodology to determine potential energy savings of buildings with limited information. This methodology is based upon the simplified energy analysis procedure of HVAC systems and the control of the comfort conditions. Numerically, the algorithm is a tailored exhaustive search over all the independent variables that are commonly controlled for a specific type of HVAC system. The potential energy savings methodology has been applied in several buildings that have been retrofitted and/or commissioned previously. Results from the determined savings for the Zachry building at Texas A&M after being commissioned show a close agreement to the calculated potential energy savings (about 85%). Differences are mainly attributed to the use of simplified models. Due to the restriction of limited information about the building characteristics and operational control, the potential energy savings method requires the determination of parameters that characterize its thermal performance. Thus, a calibrated building is needed. A general procedure has been developed to carry out automated calibration of building energy use simulations. The methodology has been tested successfully on building simulations based on the simplified energy analysis procedure. The automated calibration is the minimization of the RMSE of the energy use over daily conditions. The minimization procedure is fulfilled with a non-canonical optimization algorithm, the Simulated Annealing, which mimics the Statistical Thermodynamic performance of the annealing process. That is to say, starting at a specified temperature the algorithm searches variable-space states that are steadier, while heuristically, by the Boltzmann distribution, the local minima is avoided. The process is repeated at a new lower temperature that is determined by a specific schedule until the global minimum is found. This methodology was applied to the most common air-handler units producing excellent results for ideal cases or for samples modified with a 1% white noise.

Baltazar Cervantes, Juan Carlos

2006-12-01T23:59:59.000Z

454

Conceptual Model Summary Report Simulation Framework for Regional Geologic CO{sub 2} Storage Along Arches Province of Midwestern United States  

Science Conference Proceedings (OSTI)

A conceptual model was developed for the Arches Province that integrates geologic and hydrologic information on the Eau Claire and Mt. Simon formations into a geocellular model. The conceptual model describes the geologic setting, stratigraphy, geologic structures, hydrologic features, and distribution of key hydraulic parameters. The conceptual model is focused on the Mt. Simon sandstone and Eau Claire formations. The geocellular model depicts the parameters and conditions in a numerical array that may be imported into the numerical simulations of carbon dioxide (CO{sub 2}) storage. Geophysical well logs, rock samples, drilling logs, geotechnical test results, and reservoir tests were evaluated for a 500,000 km{sup 2} study area centered on the Arches Province. The geologic and hydraulic data were integrated into a three-dimensional (3D) grid of porosity and permeability, which are key parameters regarding fluid flow and pressure buildup due to CO{sub 2} injection. Permeability data were corrected in locations where reservoir tests have been performed in Mt. Simon injection wells. The final geocellular model covers an area of 600 km by 600 km centered on the Arches Province. The geocellular model includes a total of 24,500,000 cells representing estimated porosity and permeability distribution. CO{sub 2} injection scenarios were developed for on-site and regional injection fields at rates of 70 to 140 million metric tons per year.

None

2011-06-30T23:59:59.000Z

455

EVALUATION OF TEMPORAL VARIATIONS IN HYDRAULIC CAPTURE DUE TO CHANGING FLOW PATTERNS USING MAPPING AND MODELING TECHNIQUES  

SciTech Connect

Robust performance evaluation represents one of the most challenging aspects of groundwater pump-and-treat (P&T) remedy implementation. In most cases, the primary goal of the P&T system is hydraulic containment, and ultimately recovery, of contaminants to protect downgradient receptors. Estimating the extent of hydraulic containment is particularly challenging under changing flow patterns due to variable pumping, boundaries and/or other conditions. We present a systematic approach to estimate hydraulic containment using multiple lines of evidence based on (a) water-level mapping and (b) groundwater modeling. Capture Frequency Maps (CFMs) are developed by particle tracking on water-level maps developed for each available water level data set using universal kriging. In a similar manner, Capture Efficiency Maps (CEMs) are developed by particle tracking on water-levels calculated using a transient groundwater flow model: tracking is undertaken independently for each stress period using a very low effective porosity, depicting the 'instantaneous' fate of each particle each stress period. Although conceptually similar, the two methods differ in their underlying assumptions and their limitations: their use together identifies areas where containment may be reliable (i.e., where the methods are in agreement) and where containment is uncertain (typically, where the methods disagree). A field-scale example is presented to illustrate these concepts.

SPILIOTOPOULOS AA; SWANSON LC; SHANNON R; TONKIN MJ

2011-04-07T23:59:59.000Z

456

Vehicle Velocity Estimation Based on RSS Measurements  

Science Conference Proceedings (OSTI)

This paper presents a technique which is based on pattern recognition techniques, in order to estimate Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements and more precisely on information extracted ... Keywords: HIDden Markov Model, WCDMA, clustering, location based services, pattern recognition, propagation modeling, traffic information

Theodore S. Stamoulakatos; Antonis S. Markopoulos; Miltiadis E. Anagnostou; Michalis E. Theologou

2007-03-01T23:59:59.000Z

457

Hierarchical pose estimation for human gait analysis  

Science Conference Proceedings (OSTI)

Articulated structures like the human body have many degrees of freedom. This makes an evaluation of the configuration's likelihood very challenging. In this work we propose new linked hierarchical graphical models which are able to efficiently evaluate ... Keywords: Gait analysis, Hierarchical graphical model, Human pose estimation, Markov random fields

Jens Spehr; Simon Winkelbach; Friedrich M. Wahl

2012-05-01T23:59:59.000Z

458

State Emissions Estimates  

Gasoline and Diesel Fuel Update (EIA)

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

459

Faster Phase Estimation  

E-Print Network (OSTI)

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

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

2013-04-02T23:59:59.000Z

460

Radiation Stress Estimators  

Science Conference Proceedings (OSTI)

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

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

1983-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

Estimating Costs and Efficiency of Storage, Demand, and Heat...  

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

more efficient system. When considering a water heater model for your home, estimate its energy efficiency and annual operating cost. Then, compare costs with other more andor...

462

CHP Emissions Reduction Estimator | Open Energy Information  

Open Energy Info (EERE)

CHP Emissions Reduction Estimator CHP Emissions Reduction Estimator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CHP Emissions Reduction Estimator Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Buildings, Transportation, Industry Topics: GHG inventory, Co-benefits assessment Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.epa.gov/chp/basic/calculator.html Country: United States UN Region: Northern America CHP Emissions Reduction Estimator Screenshot References: http://www.epa.gov/chp/basic/calculator.html "This Emissions Estimator provides the amount of reduced emissions in terms of pounds of CO2, SO2, and NOX based on input from the User regarding the CHP technology being used. In turn the User will be provided with

463

Attribution and Apportionment - Preliminary Estimation Procedures  

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

Preliminary Estimation Procedures Preliminary Estimation Procedures FHWA completes several steps in the motor fuel analysis process prior to beginning the annual State-by-State analysis. These steps include an estimation of non-highway fuel uses, public fuel uses, and gasohol consumption. The estimation models are briefly described below. The models require data from several outside sources. One major dataset is the Census Bureau's Vehicle Inventory and Use Survey (VIUS). This data set contains information on annual vehicle miles of travel, percent of off-road use, major use of the truck (agriculture, retail, etc.), engine type, and the State in which the truck is registered. VIUS does not, however, provide a fuel use breakdown between gasoline and gasohol, on-road versus off-road fuel economy, or a distribution of off-road travel by State. The VIUS is conducted every five years; the latest survey was in 1997.

464

Essays on Nonparametric Series Estimation with Application to Financial Econometrics  

E-Print Network (OSTI)

This dissertation includes two essays. In the first essay, I proposed an alternative estimator for multivariate densities. This estimator can be characterized as a transformation based estimator. The first stage estimates each marginal density separately. In the second stage, the joint density of estimated marginal cumulative distribution functions (CDF) are approximated by the exponential series estimator. The final estimate is then obtained as the product of the marginal densities and the joint density estimated in the second stage. Extensive Monte Carlo studies show the proposed estimator outperforms kernel estimators in joint density and tail distribution estimation. An illustrative example on estimating the conditional copula density between S & P 500 and FTSE 100 given Hangseng and Nikkei 225 is also discussed. In the second essay, I extended the semiparametric model by Chen and Fan [X. Chen, Y. Fan, Estimation of copula-based semiparametric time series models, Journal of Econometrics 130 (2006) 307-335], and studied a class of univariate copula-based nonparametric stationary Markov models in which the copulas and the marginal distributions are estimated nonparametrically. In particular, I focused on the stationary Markov process of order 1 with continuous state space because it has the beta-mixing property for the analysis of weakly dependent processes. The copula density functions for time series models are approximated by the series estimate on sieve spaces. In this study, a finite dimensional linear space spanned by a sequence of power functions is treated as the sieve space where the estimation space of the copula density function is based. This sieve series estimator can be characterized as the exponential series estimator under mild smoothness conditions. By using the beta-mixing properties, I showed that the copula density function approximated by the exponential series estimator for stationary first-order Markov processes has the same convergence rate as the i.i.d. data. The Monte Carlo simulations show that the proposed estimator outperforms the kernel estimator in the conditional density estimation, except for the Frank copula-based Markov model. In addition, the proposed estimator considerably dominates the the kernel estimator when used in the one-step-ahead forecast.

Chang, Meng-Shiuh

2011-08-01T23:59:59.000Z

465

TIBER-II cost models and estimates  

SciTech Connect

This report consists of a series of viewgraphs dealing with cost associated with construction of a thermonuclear power plant. (JDH)

Thomson, S.L.

1987-04-06T23:59:59.000Z

466

Emission estimates for air pollution transport models.  

SciTech Connect

The results of studies of energy consumption and emission inventories in Asia are discussed. These data primarily reflect emissions from fuel combustion (both biofuels and fossil fuels) and were collected to determine emissions of acid-deposition precursors (SO{sub 2} and NO{sub x}) and greenhouse gases (CO{sub 2} CO, CH{sub 4}, and NMHC) appropriate to RAINS-Asia regions. Current work is focusing on black carbon (soot), volatile organic compounds, and ammonia.

Streets, D. G.

1998-10-09T23:59:59.000Z

467

State energy data report 1993: Consumption estimates  

SciTech Connect

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS 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.

NONE

1995-07-01T23:59:59.000Z

468

State Energy Data Report, 1991: Consumption estimates  

DOE Green Energy (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

Not Available

1993-05-01T23:59:59.000Z

469

State energy data report 1995 - consumption estimates  

Science Conference Proceedings (OSTI)

The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS 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.

NONE

1997-12-01T23:59:59.000Z

470

Distributed Energy Resources Market Diffusion Model  

SciTech Connect

Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

2006-06-16T23:59:59.000Z

471

Distributed Energy Resources Market Diffusion Model  

SciTech Connect

Distributed generation (DG) technologies, such as gas-fired reciprocating engines and microturbines, have been found to be economically beneficial in meeting commercial-sector electrical, heating, and cooling loads. Even though the electric-only efficiency of DG is lower than that offered by traditional central stations, combined heat and power (CHP) applications using recovered heat can make the overall system energy efficiency of distributed energy resources (DER) greater. From a policy perspective, however, it would be useful to have good estimates of penetration rates of DER under various economic and regulatory scenarios. In order to examine the extent to which DER systems may be adopted at a national level, we model the diffusion of DER in the US commercial building sector under different technical research and technology outreach scenarios. In this context, technology market diffusion is assumed to depend on the system's economic attractiveness and the developer's knowledge about the technology. The latter can be spread both by word-of-mouth and by public outreach programs. To account for regional differences in energy markets and climates, as well as the economic potential for different building types, optimal DER systems are found for several building types and regions. Technology diffusion is then predicted via two scenarios: a baseline scenario and a program scenario, in which more research improves DER performance and stronger technology outreach programs increase DER knowledge. The results depict a large and diverse market where both optimal installed capacity and profitability vary significantly across regions and building types. According to the technology diffusion model, the West region will take the lead in DER installations mainly due to high electricity prices, followed by a later adoption in the Northeast and Midwest regions. Since the DER market is in an early stage, both technology research and outreach programs have the potential to increase DER adoption, and thus, shift building energy consumption to a more efficient alternative.

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui,Afzal S.

2006-06-16T23:59:59.000Z

472

REQUESTS FOR RETIREMENT ESTIMATE  

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

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

473

Iterative phase estimation  

E-Print Network (OSTI)

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

Caleb J O'Loan

2009-04-22T23:59:59.000Z

474

Mildly Context Sensitive Grammars For Estimating Maximum  

E-Print Network (OSTI)

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

David Chiang

2003-01-01T23:59:59.000Z

475

External Dose Estimates from  

E-Print Network (OSTI)

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

476

External Dose Estimates from  

E-Print Network (OSTI)

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

477

Estimating Open-Ocean Barotropic Tidal Dissipation: The Hawaiian Ridge  

Science Conference Proceedings (OSTI)

The generalized inverse of a regional model is used to estimate barotropic tidal dissipation along the Hawaiian Ridge. The model, based on the linear shallow-water equations, incorporates parameterizations for the dissipation of energy via ...

Edward D. Zaron; Gary D. Egbert

2006-06-01T23:59:59.000Z

478

EPA Revises Emissions Estimation Methodology  

U.S. Energy Information Administration (EIA)

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

479

Long correlation Gaussian random fields: Parameter estimation and noise reduction  

Science Conference Proceedings (OSTI)

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

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

2007-07-01T23:59:59.000Z

480

Multivariate Error Covariance Estimates by Monte Carlo Simulation for Assimilation Studies in the Pacific Ocean  

Science Conference Proceedings (OSTI)

One of the most difficult aspects of ocean-state estimation is the prescription of the model forecast error covariances. The paucity of ocean observations limits our ability to estimate the covariance structures from model–observation ...

Anna Borovikov; Michele M. Rienecker; Christian L. Keppenne; Gregory C. Johnson

2005-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "depicting model estimates" 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

Structuring energy supply and demand networks in a general equilibrium model to simulate global warming control strategies  

Science Conference Proceedings (OSTI)

Global warming control strategies which mandate stringent caps on emissions of greenhouse forcing gases can substantially alter a country's demand, production, and imports of energy products. Although there is a large degree of uncertainty when attempting to estimate the potential impact of these strategies, insights into the problem can be acquired through computer model simulations. This paper presents one method of structuring a general equilibrium model, the ENergy and Power Evaluation Program/Global Climate Change (ENPEP/GCC), to simulate changes in a country's energy supply and demand balance in response to global warming control strategies. The equilibrium model presented in this study is based on the principle of decomposition, whereby a large complex problem is divided into a number of smaller submodules. Submodules simulate energy activities and conversion processes such as electricity production. These submodules are linked together to form an energy supply and demand network. Linkages identify energy and fuel flows among various activities. Since global warming control strategies can have wide reaching effects, a complex network was constructed. The network represents all energy production, conversion, transportation, distribution, and utilization activities. The structure of the network depicts interdependencies within and across economic sectors and was constructed such that energy prices and demand responses can be simulated. Global warming control alternatives represented in the network include: (1) conservation measures through increased efficiency; and (2) substitution of fuels that have high greenhouse gas emission rates with fuels that have lower emission rates. 6 refs., 4 figs., 4 tabs.

Hamilton, S.; Veselka, T.D.; Cirillo, R.R.

1991-01-01T23:59:59.000Z

482

Operated device estimation framework  

E-Print Network (OSTI)

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

Rengarajan, Janarthanan

2008-12-01T23:59:59.000Z

483

Estimating the Soil Surface Specific Humidity  

Science Conference Proceedings (OSTI)

Based on the recent experiment results, a formula is proposed to be used in numerical weather-climate models to estimate the soil surface humidity. The formula has a very simple form and shows a smooth transition in the soil surface specific ...

Tsengdar J. Lee; Roger A. Pielke

1992-05-01T23:59:59.000Z

484

Estimating local thickness for finite element analysis  

Science Conference Proceedings (OSTI)

Within the development of motor vehicles, crash safety is one of the most important attributes. To comply with the ever increasing requirements of shorter cycle times and costs reduction, car manufacturers keep intensifying the use of virtual development ... Keywords: FEA mesh, automotive crash simulations, ray tracing, structural modelling, thickness estimation

Vânio Ferreira; Luís Paulo Santos; Ricardo Simoes; Markus Franzen; Omar O. Ghouati

2010-11-01T23:59:59.000Z

485

Precipitator Performance Estimation Procedure  

Science Conference Proceedings (OSTI)

Increased availability of data to use with an existing computer model makes it possible for utilities to calculate electrostatic precipitator performance without access to industry databases. This report examines the accuracy of the model and develops procedures to make it a more useful tool for troubleshooting precipitator performance and for selecting the size of a new unit.

1986-12-22T23:59:59.000Z

486

Evaluation of Cold-Season Precipitation Forecasts Generated by the Hourly Updating High-Resolution Rapid Refresh Model  

Science Conference Proceedings (OSTI)

The hourly updating High-Resolution Rapid Refresh (HRRR) model is evaluated with regard to its ability to predict the areal extent of cold-season precipitation and accurately depict the timing and location of regions of snow, rain, and mixed-phase ...

Kyoko Ikeda; Matthias Steiner; James Pinto; Curtis Alexander

2013-08-01T23:59:59.000Z

487

Examining the Effects of Variability in Average Link Speeds on Estimated Mobile Source Emissions and Air Quality  

E-Print Network (OSTI)

Fine-Grained Regional Emissions Estimation." TransportationA New Mobile Source Emission Inventory Model." AtmosphericData for Mobile Source Emissions Estimates. Transportation

Sogutlugil, Mihriban

2005-01-01T23:59:59.000Z

488

Sensitivity analysis, ocean state estimation and diagnostics in the California current  

E-Print Network (OSTI)

4.3 Physical Ocean Model Simulations . . . . . . . . . . .3 xv the California Estimating ocean states for Aprilusing the Regional Ocean Modeling System (ROMS) data

Song, Hajoon

2011-01-01T23:59:59.000Z

489

Utility Savings Estimators | Building Energy Codes Program  

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

the Utility Savings Estimators: Commercial Estimator | Residential Estimator (These *.zip files contain the Microsoft Excel macro-enabled (*.xlsm) estimator files. You will...

490

Prediction of a Flash Flood in Complex Terrain. Part I: A Comparison of Rainfall Estimates from Radar, and Very Short Range Rainfall Simulations from a Dynamic Model and an Automated Algorithmic System  

Science Conference Proceedings (OSTI)

Operational prediction of flash floods caused by convective rainfall in mountainous areas requires accurate estimates or predictions of the rainfall distribution in space and time. The details of the spatial distribution are especially critical ...

Thomas T. Warner; Edward A. Brandes; Juanzhen Sun; David N. Yates; Cynthia K. Mueller

2000-06-01T23:59:59.000Z

491

NONPARAMETRIC BAYESIAN ESTIMATION OF PERIODIC LIGHT CURVES  

SciTech Connect

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

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

2012-09-01T23:59:59.000Z

492

Modeling  

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

ALE-AMR ALE-AMR code Wangyi Liu, John Bernard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder June 4, 2011 Abstract In this paper we describe an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical state of the two phases. The only change to the existing fluid equations is an additional term in the stress tensor. We show results of applying the model to an expanding Al droplet surrounded by an Al vapor, where additional droplets are created. 1 Introduction The Neutralized Drift Compression Experiment II (NDCX II) is an induction accelerator planned for initial commissioning in 2012. The final design calls for a 3 MeV, Li+ ion beam, delivered in a bunch with characteristic pulse duration of 1 ns, and transverse dimension of order 1 mm. The

493

Estimating Civilian Owned Firearms  

E-Print Network (OSTI)

Most of the world’s firearms are privately owned. 1 They include improvised craft guns as well as handguns, rifles, shotguns, and machine guns. The legal definition of a civilian firearm varies; some states allow civilian ownership of certain firearms that are restricted to military use in other states. The word civilian is used here to refer to actual possession, not legality. In 2007, the Small Arms Survey estimated the number of civilian firearm ownership worldwide at approximately 650 million weapons out of some 875 then in existence (see Figures 1 and 2). National ownership rates range from a high of 90 firearms per every 100 people in the United States, to one firearm or less for every 100 residents in countries like South Korea and Ghana (see Table 1). With the world’s factories delivering millions of newly manufactured firearms annually, and with far fewer being destroyed, civilian ownership is growing (Small Arms Survey, 2007, p. 39). Poor record-keeping and the near absence of reporting requirements for detailed information complicate assessments of global stockpiles of small arms and light weapons. When it comes to estimating civilian firearm ownership, differences in national gun culture —each country’s unique combination of historic and current sources of supply, laws and attitudes toward firearms ownership—often have distinct effects on the classification, ownership and perception of firearms. In addition, categories of firearm holders may overlap, as some individuals may use their private firearms at work as security guards, in armed groups, or in gangs.

unknown authors

2011-01-01T23:59:59.000Z

494

Empirical Methods of Cost Estimation  

Science Conference Proceedings (OSTI)

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

495

Optimal estimation with limited measurements  

Science Conference Proceedings (OSTI)

This paper introduces a sequential estimation problem with two decision makers, or agents, who work as members of a team. One of the agents sits at an observation post, and makes sequential observations about the state of an underlying stochastic process ... Keywords: WSNs, limited information, networked control systems, optimal estimation, real-time control, real-time monitoring, recursive estimation, sequential estimation, wireless networks, wireless sensor networks

Orhan C. Imer; Tamer Basar

2010-01-01T23:59:59.000Z

496

Additional Resources for Estimating Building Energy and Cost Savings to  

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

Additional Resources for Estimating Building Energy and Cost Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases Additional Resources for Estimating Building Energy and Cost Savings to Reduce Greenhouse Gases October 7, 2013 - 11:06am Addthis For evaluating greenhouse gas reduction strategies and estimating costs, the following information resources can help Federal agencies estimate energy and cost savings potential by building type. When deciding what resource to use for developing energy- and cost-savings estimates, a program should consider items detailed in Table 1. Table 1.Resources for Estimating Energy Savings Resource Items to consider Advanced Energy Retrofit Guides Based on representative building models of commercial buildings. Guidance available for a limited number of bu