Powered by Deep Web Technologies
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.


1

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

Science Journals Connector (OSTI)

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

Samo Diatta; Fr閐閞ic Hourdin; Amadou Thierno Gaye; Nicolas Viltard

2010-05-01T23:59:59.000Z

2

An invitation to discuss computer depiction  

Science Journals Connector (OSTI)

This paper draws from art history and perception to place computer depiction in the broader context of picture production. It highlights the often underestimated complexity of the interactions between features in the picture and features of the represented ... Keywords: computer depiction, interaction, non-photorealistic rendering, perception, visual arts

Fr閐o Durand

2002-06-01T23:59:59.000Z

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

Cost Model and Cost Estimating Software  

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

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

1997-03-28T23:59:59.000Z

5

Figure 1. Depiction of the BrainAGE concept. [Image modified from [1], with permission from Hogrefe Publishing, Bern.] (A) The model of healthy brain aging is trained with the chronological age and preprocessed structural MRI data of a training sample (le  

E-Print Network [OSTI]

Figure 1. Depiction of the BrainAGE concept. [Image modified from [1], with permission from Hogrefe Publishing, Bern.] (A) The model of healthy brain aging is trained with the chronological age important voxel locations that were used by the age regression model). Subsequently, the individual brain

Gaser, Christian

6

Improved diagnostic model for estimating wind energy  

SciTech Connect (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

PARAMETER ESTIMATION IN PETROLEUM AND GROUNDWATER MODELING  

E-Print Network [OSTI]

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

Ewing, Richard E.

8

Retrofit Energy Savings Estimation Model Reference Manual  

E-Print Network [OSTI]

Retrofit Energy Savings Estimation Model Reference Manual #12;#12;Retrofit Energy Savings commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does from the Department of Energy. Any conclusions or opinions expressed in this manual represent solely

9

Byzantine Icons The Art and Science of Depiction  

E-Print Network [OSTI]

1 Byzantine Icons 路 4.209 The Art and Science of Depiction 路 Fredo Durand, Julie Dorsey 路 Spring 2001 路 Konstantinos Tsakonas, tsakonas@mit.edu Definitions Icon(): a Greek word that meansimage to write an icon. Project Focus Art&Science of Depiction Software Engineering Byzantine Icons Software

Durand, Fr茅do

10

Byzantine Icons The Art and Science of Depiction  

E-Print Network [OSTI]

1 Byzantine Icons 路 4.209 The Art and Science of Depiction 路 Fredo Durand, Julie Dorsey 路 Spring 2001 路 Konstantinos Tsakonas, tsakonas@mit.edu Definitions Icon(): a Greek word that means image to write an icon. #12;2 Project Focus Art&Science of Depiction Software Engineering Byzantine Icons

Durand, Fr茅do

11

Marker-less Human Motion Estimation using Articulated Deformable Model  

E-Print Network [OSTI]

Marker-less Human Motion Estimation using Articulated Deformable Model Koichi Ogawara and Xiaolu Li and backtrack re-estimation algorithm enable accurate estimation. The power to track challenging whole body

Tokyo, University of

12

A depiction of imported malaria in Connecticut  

Science Journals Connector (OSTI)

Abstract In 2010, there were roughly 219 million cases of malaria reported worldwide resulting in an estimated 660,600 deaths [1]. In contrast, the total number of cases according to the Centers for Disease Control and Prevention (CDC) in the United States (USA) was only 1691 [2]. Of those, 1688 were cases of imported malaria [2]. This is the highest number of cases reported in U.S. since 1980 [2]. Here, we describe a case of imported malaria and conduct a retrospective case series at four Connecticut (CT) hospitals in order to describe the demographics of imported malaria and to identify potential barriers to timely diagnosis and treatment.

David Chia; Jorge O. Moreno; Steven I. Aronin; Rassull Suarez; Michael D. Virata; Chinedu A. Igwe; Howard Quentzel; Majid Sadigh

2014-01-01T23:59:59.000Z

13

Correctness of depiction in planar diagrams of spatial figures  

E-Print Network [OSTI]

We show that it is possible to decide whether a given planar diagram correctly depicts the spatial figure consisting of a planar quadrangle together with its shadow in another plane.

P. L. Robinson

2014-03-12T23:59:59.000Z

14

Estimation in regression models with externally estimated parameters  

Science Journals Connector (OSTI)

......compartmental system and involves...METABOLISM) Foster et al...kinetic model to study the early...2000; Wheeler and Bailer...G. S., FOSTER, D. AND...and Hall. FOSTER, D. M...environmental systems. In Patil...Wiley. WHEELER, M. W...simulation study of methods......

R. Todd Ogden; Thaddeus Tarpey

2006-01-01T23:59:59.000Z

15

Standard errors of parameter estimates in the ETAS model  

E-Print Network [OSTI]

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

Schoenberg, Frederic Paik (Rick)

16

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

17

Byzantine Icons The Art and Science of Depiction  

E-Print Network [OSTI]

Byzantine Icons 路 4.209 The Art and Science of Depiction 路 Fredo Durand, Julie Dorsey 路 Spring 2001 路 Konstantinos Tsakonas, tsakonas@mit.edu #12;Definitions Icon(): a Greek word that means image; an artistic a spiritual representation of a sacred person or event Iconography(): a Greek word that means to write an icon

Durand, Fr茅do

18

Estimation of Parameters in Carbon Sequestration Models from Net Ecosystem  

E-Print Network [OSTI]

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

White, Luther

19

Error Estimation and Adaptive Model Reduction Applied to Offshore Wind Turbine Modeling  

Science Journals Connector (OSTI)

Recently developed error estimation methods provide a powerful tool for the efficient creation of componentwise reduced models. Error estimation methods consist in estimating the contribution of each component to...

S. N. Voormeeren; B. P. Nortier; D. J. Rixen

2014-01-01T23:59:59.000Z

20

Battery Calendar Life Estimator Manual Modeling and Simulation  

SciTech Connect (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

2012-10-01T23:59:59.000Z

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

Estimating Emissions in Latin America: An Alternative to Traffic Models  

E-Print Network [OSTI]

Estimating Emissions in Latin America: An Alternative to Traffic Models Margarita Oss茅s de Eicker; Hans Hurni, Centre for Development and Environment (CDE), University of Bern, Switzerland Emissions allow precise estimations of these emissions but are too expensive for a broad application. A simplifed

Richner, Heinz

22

Evaluation of an Incremental Ventilation Energy Model for Estimating  

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

PARAMETER ESTIMATION BASED MODELS OF WATER SOURCE HEAT PUMPS  

E-Print Network [OSTI]

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

24

Parameter estimation of a linear vehicle model  

E-Print Network [OSTI]

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

Helin, Franz

1990-01-01T23:59:59.000Z

25

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

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

26

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

E-Print Network [OSTI]

of the methodology introduced in a section 5.1, which was used to estimate the atmospheric pollution by the fuelPART 2. MATHEMATICAL MODELS IN POLLUTION CHAPTER V. MATHEMATICAL MODELS TO ESTIMATE THE ENERGY the necessary analysis from the point of view of estimating all the pollution effects in correlation

Baica, Malvina

27

THE INTEGRATION MODELING FRAMEWORK FOR ESTIMATING MOBILE SOURCE EMISSIONS  

E-Print Network [OSTI]

@vt.edu. #12;Rakha and Ahn 2 the environmental impacts of ITS alternatives. The model combines car dynamics. Consequently, the assessment of the energy and emission impacts of alternative investments can-following, vehicle dynamics, lane changing, energy, and emission models to estimate mobile source emissions directly

Rakha, Hesham A.

28

On the empirical statistics of parameter estimates in parametric modeling  

E-Print Network [OSTI]

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

Zhu, Yao

1988-01-01T23:59:59.000Z

29

AIAA-2001-0047 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE  

E-Print Network [OSTI]

. INTRODUCTION Design constraints for wind turbine structures fall into either extreme load or fatigue categoriesAIAA-2001-0047 1 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN Lance at Austin, Austin, TX 78712 2 Sandia National Laboratories, Wind Energy Technology Department, Albuquerque

Sweetman, Bert

30

PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN  

E-Print Network [OSTI]

loads. #12;2 INTRODUCTION Design constraints for wind turbine structures fall into either extreme load1 PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN Lance Manuel1 Paul S, TX 78712 2 Sandia National Laboratories, Wind Energy Technology Department, Albuquerque, NM 87185

Sweetman, Bert

31

Estimating Predictive Variance for Statistical Gas Distribution Modelling  

SciTech Connect (OSTI)

Recent publications in statistical gas distribution modelling have proposed algorithms that model mean and variance of a distribution. This paper argues that estimating the predictive concentration variance entails not only a gradual improvement but is rather a significant step to advance the field. This is, first, since the models much better fit the particular structure of gas distributions, which exhibit strong fluctuations with considerable spatial variations as a result of the intermittent character of gas dispersal. Second, because estimating the predictive variance allows to evaluate the model quality in terms of the data likelihood. This offers a solution to the problem of ground truth evaluation, which has always been a critical issue for gas distribution modelling. It also enables solid comparisons of different modelling approaches, and provides the means to learn meta parameters of the model, to determine when the model should be updated or re-initialised, or to suggest new measurement locations based on the current model. We also point out directions of related ongoing or potential future research work.

Lilienthal, Achim J.; Asadi, Sahar; Reggente, Matteo [AASS Research Center, Oerebro University (Sweden)

2009-05-23T23:59:59.000Z

32

Statistical testing and estimation in continuous time interest rate models  

E-Print Network [OSTI]

. In such a case, the power of the test does not tend to one in spite of large sample sizes. On the other hand, the consistent nonparametric tests avoid this problem. To test the correctness of a parametric model, say, Yi = l(xti ;?) + ei, we can consider.... In practice, we use ^i in lieu of ei, where ^i = Yi ? l(xti ; ^) is a residual, and ^ is 11 an OLS estimator of ? and Yi is a response variable. Using the leave one out kernel estimator 1nh Pnj6=i ^jk(xtj ?xtih ), the test statistic stems from the following...

Kim, Myung Suk

2006-10-30T23:59:59.000Z

33

Consumer Responses to Stereotypical vs. Non-Stereotypical Depictions of Women in Travel Advertising.  

E-Print Network [OSTI]

??Women are active travel consumers, yet travel advertising notoriously depicts women stereotypically. If consumers react negatively to these stereotypical portrayals in advertising, they may disregard (more)

McDonald, Jessica Eran

2010-01-01T23:59:59.000Z

34

Solar Radiation Estimated Through Mesoscale Atmospheric Modeling over Northeast Brazil  

Science Journals Connector (OSTI)

The use of renewable energy sources like solar wind and biomass is rapidly increasing in recent years with solar radiation as a particularly abundant energy source over Northeast Brazil. A proper quantitative knowledge of the incoming solar radiation is of great importance for energy planning in Brazil serving as basis for developing future projects of photovoltaic power plants and solar energy exploitation. This work presents a methodology for mapping the incoming solar radiation at ground level for Northeast Brazil using a mesoscale atmospheric model (Regional Atmospheric Modeling System桼AMS) calibrated and validated using data from the network of automatic surface stations from the State Foundation for Meteorology and Water Resources from Cear (Funda玢o Cearense de Meteorologia e Recursos H韉ricos? FUNCEME). The results showed that the model exhibits systematic errors overestimating surface radiation but that after the proper statistical corrections using a relationship between the model?predicted cloud fraction the ground?level observed solar radiation and the incoming solar radiation estimated at the top of the atmosphere a correlation of 0.92 with a confidence interval of 13.5? W / m 2 is found for monthly data. Using this methodology we found an estimate for annual average incoming solar radiation over Cear of 215? W / m 2 (maximum in October: 260? W / m 2 ).

Otacilio Leandro de Menezes Neto; Alexandre Ara鷍o Costa; Fernando Pinto Ramalho; Paulo Henrique Santiago de Maria

2009-01-01T23:59:59.000Z

35

Local Estimation of Modeling Error in Multi-Scale Modeling of Heterogeneous Elastic Solids  

E-Print Network [OSTI]

This thesis presents the results of an investigation toward the development of a new methodology of local estimation of modeling error in the analysis of linear elastostatic problems of heterogeneous solids. Due to the ...

Moody, Tristan

2008-03-19T23:59:59.000Z

36

EKF BASED ESTIMATOR FOR FDI IN THE MODEL IV FCCU Yuanjie Huang, Sourabh Dash  

E-Print Network [OSTI]

EKF BASED ESTIMATOR FOR FDI IN THE MODEL IV FCCU Yuanjie Huang, Sourabh Dash G. V. Reklaitis study, a EKF based estimator for the Model IV FCCU is investigated. This model is multivariable variables. Performance of the estimator's application to the AmocoModel IV FCCU case study in terms of early

Venkatasubramanian, Venkat

37

Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation  

Science Journals Connector (OSTI)

An unsupervised stochastic model-based approach to image segmentation is described, and some of its properties investigated. In this approach, the problem of model parameter estimation is formulated as a problem of parameter estimation from incomplete ...

Jun Zhang; J. W. Modestino; D. A. Langan

1994-07-01T23:59:59.000Z

38

Integrating Photovoltaic Inverter Reliability into Energy Yield Estimation with Markov Models  

E-Print Network [OSTI]

Integrating Photovoltaic Inverter Reliability into Energy Yield Estimation with Markov Models of the inverters. Keywords-Photovoltaic energy conversion, Markov reliability models, utility-interactive inverters, energy yield estimation. I. INTRODUCTION Photovoltaic systems have gained prominence as economically

Liberzon, Daniel

39

Accelerated gravitational-wave parameter estimation with reduced order modeling  

E-Print Network [OSTI]

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

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

2014-04-24T23:59:59.000Z

40

Accelerated gravitational-wave parameter estimation with reduced order modeling  

E-Print Network [OSTI]

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

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

2015-01-27T23:59:59.000Z

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

THE FEDERAL HIGHWAY ADMINISTRATION GASOHOL CONSUMPTION ESTIMATION MODEL  

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

42

Parameter estimation for models of ligninolytic and cellulolytic enzyme kinetics  

SciTech Connect (OSTI)

While soil enzymes have been explicitly included in the soil organic carbon (SOC) decomposition models, there is a serious lack of suitable data for model parameterization. This study provides well-documented enzymatic parameters for application in enzyme-driven SOC decomposition models from a compilation and analysis of published measurements. In particular, we developed appropriate kinetic parameters for five typical ligninolytic and cellulolytic enzymes ( -glucosidase, cellobiohydrolase, endo-glucanase, peroxidase, and phenol oxidase). The kinetic parameters included the maximum specific enzyme activity (Vmax) and half-saturation constant (Km) in the Michaelis-Menten equation. The activation energy (Ea) and the pH optimum and sensitivity (pHopt and pHsen) were also analyzed. pHsen was estimated by fitting an exponential-quadratic function. The Vmax values, often presented in different units under various measurement conditions, were converted into the same units at a reference temperature (20 C) and pHopt. Major conclusions are: (i) Both Vmax and Km were log-normal distributed, with no significant difference in Vmax exhibited between enzymes originating from bacteria or fungi. (ii) No significant difference in Vmax was found between cellulases and ligninases; however, there was significant difference in Km between them. (iii) Ligninases had higher Ea values and lower pHopt than cellulases; average ratio of pHsen to pHopt ranged 0.3 0.4 for the five enzymes, which means that an increase or decrease of 1.1 1.7 pH units from pHopt would reduce Vmax by 50%. (iv) Our analysis indicated that the Vmax values from lab measurements with purified enzymes were 1 2 orders of magnitude higher than those for use in SOC decomposition models under field conditions.

Wang, Gangsheng [ORNL; Post, Wilfred M [ORNL; Mayes, Melanie [ORNL; Frerichs, Joshua T [ORNL; Jagadamma, Sindhu [ORNL

2012-01-01T23:59:59.000Z

43

HERITABILITY ESTIMATION IN HIGH DIMENSIONAL LINEAR MIXED MODELS  

E-Print Network [OSTI]

estimator. Our approach is implemented in the R package HiLMM which is available from the web page) the "dark matter" of the genome or the "dark matter" of heritability. To estimate this lacking heritability

Gassiat, Elisabeth

44

Mass Flow Estimation with Model Bias Correction for a Turbocharged Diesel Engine  

E-Print Network [OSTI]

Mass Flow Estimation with Model Bias Correction for a Turbocharged Diesel Engine Tom谩s Pol贸ni. Based on an augmented observable Mean Value En- gine Model (MVEM) of a turbocharged Diesel engine in the intake duct. Keywords: Diesel engine, Mass flow estimation, Bias estimation, Kalman filtering, Mean value

Johansen, Tor Arne

45

Development and Application of a Model to Estimate Wastewater Treatment Plant Prescription Pharmaceutical Influent Loadings and Concentrations  

Science Journals Connector (OSTI)

A mass balance model was developed to estimate prescription pharmaceutical loadings to municipal wastewater treatment plants via computation of influent concentrations (C IN). Model estimates of C

Karl J. Ottmar; Lisa M. Colosi

2010-05-01T23:59:59.000Z

46

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

E-Print Network [OSTI]

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

Sun, Jian

47

Parameter Estimation Using Ensemble Based Data Assimilation in the Presence of Model Error  

Science Journals Connector (OSTI)

This work explores the potential of on-line parameter estimation as a technique for model error treatment under an imperfect model scenario, in an ensemble-based data assimilation system, using a simple atmospheric general circulation model and an ...

Juan Ruiz; Manuel Pulido

48

Statistical Model Development for Estimating Bicycle Rack Usage at Auburn University.  

E-Print Network [OSTI]

??The objective of this research was to develop and evaluate statistical models to estimate bicycle rack usage for a university campus environment. An analysis was (more)

Wilson, Christopher

2011-01-01T23:59:59.000Z

49

Estimation of Parameterized Spatio-Temporal Dynamic Models Ke Xu and Christopher K. Wikle  

E-Print Network [OSTI]

Estimation of Parameterized Spatio-Temporal Dynamic Models Ke Xu and Christopher K. Wikle: Christopher K. Wikle, Department of Statistics, University of Missouri, 146 Math Science Building, Columbia

50

The complementary relationship in estimation of regional evapotranspiration: An enhanced Advection-Aridity model  

E-Print Network [OSTI]

Collins, Colorado Abstract. Long-term monthly evapotranspiration estimates from Brutsaert and Stricker and Stricker's [1979] Advection- Aridity (AA) model, exhibit two very different approaches to parameterizing

Ram铆rez, Jorge A.

51

Improving estimates of African woodland biomass by fusing radar data, models and ground observations  

E-Print Network [OSTI]

Improving estimates of African woodland biomass by fusing radar data, models and ground management of savannahs and woodlands requires accurate estimates of the woody biomass. For these reasons, developing new methods to accurately estimate woody biomass and its changes is high on the political

52

Robust Model-Free Multiclass Probability Estimation Yichao WU, Hao Helen ZHANG, and Yufeng LIU  

E-Print Network [OSTI]

Classical statistical approaches for multiclass probability estimation are typically based on regression classification; SVM. 1. INTRODUCTION Multiclass probability estimation is an important problem in statisticsRobust Model-Free Multiclass Probability Estimation Yichao WU, Hao Helen ZHANG, and Yufeng LIU

Liu, Yufeng

53

Elmore Model for Energy Estimation in RC Trees Quming Zhou and Kartik Mohanram  

E-Print Network [OSTI]

Elmore Model for Energy Estimation in RC Trees Quming Zhou and Kartik Mohanram Department This paper presents analysis methods for energy estimation in RC trees driven by time-varying voltage sources]: Design aids--simulation General Terms: Algorithms Keywords: Energy estimation, RC trees, interconnect. 1

Mohanram, Kartik

54

Modeling, estimation, and control of robot-soil interactions  

E-Print Network [OSTI]

This thesis presents the development of hardware, theory, and experimental methods to enable a robotic manipulator arm to interact with soils and estimate soil properties from interaction forces. Unlike the majority of ...

Hong, Won, 1971-

2001-01-01T23:59:59.000Z

55

Estimators for models with constraints involving unknown parameters  

E-Print Network [OSTI]

- tor of real numbers. Such estimators have asymptotic variance P(f - c a)2 . If Paa is invertible, then by the Cauchy颅Schwarz inequality the asymptotic variance is minimized for cf = (Paa )-1 Paf. The constant cf ^cf = ( ^Paa )-1 ^Paf = n i=1 a(Xi)a(Xi) -1 n i=1 a(Xi)f(Xi). The resulting estimator ^P(f -^cf a) has

Wefelmeyer, Wolfgang

56

Parameter estimation for energy balance models with memory  

Science Journals Connector (OSTI)

...model based on the energy balance of the Earth...climate dynamics. New York, NY: Springer...JA Coakley. 1981 Energy balance climate models...Climate sensitivity, energy balance models...Sciences, vol. 119. New York, NY: Springer...

2014-01-01T23:59:59.000Z

57

CONTINUOUS INVERTIBILITY AND STABLE QML ESTIMATION OF THE EGARCH(1,1) MODEL  

E-Print Network [OSTI]

CONTINUOUS INVERTIBILITY AND STABLE QML ESTIMATION OF THE EGARCH(1,1) MODEL OLIVIER WINTENBERGER Abstract. We introduce the notion of continuous invertibility on a compact set for volatility models driven Estimator (QMLE) when the optimization procedure is done on a continuously invertible domain. This approach

Paris-Sud XI, Universit茅 de

58

OnLine IPA Gradient Estimators in Stochastic Continuous Fluid Models  

E-Print Network [OSTI]

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

59

An axisymmetric model for Taylor impact test and estimation of metal plasticity  

Science Journals Connector (OSTI)

...An axisymmetric model for Taylor impact test and estimation of metal plasticity Sukanta...anvil, often known as the Taylor impact test, is studied. An axisymmetric model is...illustrated through some examples. Taylor impact test|radial bulging|strain hardening|estimation...

2015-01-01T23:59:59.000Z

60

A climate sensitivity estimate using Bayesian fusion of instrumental observations and an Earth System model  

E-Print Network [OSTI]

sensitivity estimate using Bayesian fusion of instrumental observations and an Earth System model, J. Geophys System model Roman Olson,1 Ryan Sriver,1 Marlos Goes,2,3 Nathan M. Urban,4,5 H. Damon Matthews,6 MuraliA climate sensitivity estimate using Bayesian fusion of instrumental observations and an Earth

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

Noise-contrastive estimation of unnormalized statistical models, and its application to natural image statistics  

E-Print Network [OSTI]

to discriminate between the observed data and some artificially generated noise. With this approach, the partition favorably to other estimation methods for unnormalized models. As an application to real data, we estimate (pdf) pd. The data pdf pd is modeled by a parameterized family of functions {pm(.; )} where

Gutmann, Michael

62

Development of Property-Transfer Models for Estimating the Hydraulic Properties of Deep  

E-Print Network [OSTI]

Development of Property-Transfer Models for Estimating the Hydraulic Properties of Deep Sediments. #12;Development of Property-Transfer Models for Estimating the Hydraulic Properties of Deep Sediments-USGS World Wide Web: http://www.usgs.gov/ Any use of trade, product, or firm names in this publication

63

Safety Case Depictions vs. Safety Cases Would the Real Safety Case Please Stand Up?  

E-Print Network [OSTI]

Safety Case Depictions vs. Safety Cases 颅 Would the Real Safety Case Please Stand Up? Ibrahim Habli York, UK ibrahim.habli@cs.york.ac.uk, tim.kelly@cs.york.ac.uk Keywords: Safety Cases, Safety Arguments, GSN, Safety Assurance, Certification Abstract The integrity of the safety case depends primarily

Kelly, Tim

64

Maps depicting nonattainment areas pursuant to Section 107 of the Clean Air Act - 1985  

SciTech Connect (OSTI)

The report is a detailed mapping of the United States depicting those areas nonattaining the National Ambient Air Quality Standards for carbon monoxide, nitrogen dioxide, ozone, sulfur dioxide, and total suspended particulates. It includes nonattainment area maps and supporting lists from Federal Register publications for final actions through September 1, 1985.

Yarn, J.; Beal, W.; Tate, C.

1985-09-01T23:59:59.000Z

65

Maps depicting nonattainment areas pursuant to Section 107 of the Clean Air Act - 1982  

SciTech Connect (OSTI)

This report is a detailed mapping of the United States depicting those areas not attaining the National Ambient Air Quality Standards for carbon monoxide, nitrogen dioxide, ozone, sulfur dioxide and total suspended particulates. It includes nonattainment area maps and supporting lists from Federal Register publications for final actions through February 1, 1982.

Pearson, J.; Beal, W.; Duggan, G.

1982-02-01T23:59:59.000Z

66

Maps depicting nonattainment areas pursuant to Section 107 of the Clean Air Act - 1983  

SciTech Connect (OSTI)

This report is a detailed mapping of the United States Depicting those areas not attaining the National Ambient Air Quality Standards for carbon monoxide, nitrogen dioxide, ozone, sulfur dioxide and total suspended particulates. It includes nonattainment area maps and supporting lists from Federal Register publications for final actions through February 1, 1983.

Duggan, G.; Pearson, J.; Beal, W.

1983-02-01T23:59:59.000Z

67

Maps depicting nonattainment areas pursuant to Section 107 of the Clean Air Act - 1984  

SciTech Connect (OSTI)

This report is a detailed mapping of the United States depicting those areas not attaining the National Ambient Air Quality Standards for carbon monoxide, nitrogen dioxide, ozone, sulfur dioxide and total suspended particulates. It includes non-attainment area maps and supporting lists from Federal Register publications for final actions through July 1, 1984.

Yarn, J.; Beal, W.; Tate, C.

1984-07-01T23:59:59.000Z

68

Wavelet Based Density Estimators for Modeling Multidimensional Data Sets  

E-Print Network [OSTI]

the distribution of this random variable. We exhibit an estimator for the wavelet coe?cients of this density and ionospheric data. After three levels of o#11;-line pre-processing, observations of temperature, water vapor agreement nr. F30602-99-1-0524, and unrestricted cash/equipment gifts from NCR, IBM, Intel and SUN. #12; 1

Shahabi, Cyrus

69

ESTIMATION OF FLOW DISTRIBUTION FOR HYDROLOGICAL MODELLING Petter Pilesj  

E-Print Network [OSTI]

.hkbu.edu.hk Lars Harrie Department of Surveying. University of Lund. Box 118, ht 54. S 颅 221 00 Lund, Sweden. E-mail: Lars.Harrie@lantm.lth.se Abstract: This paper discusses a new approach to estimate flow direction. Holmgren (1994) summarises some of the algorithms as, #12;( ) ( )= = 8 1 tan tan j x j x i

Harrie, Lars

70

Nonparametric estimation of econometric models with categorical variables  

E-Print Network [OSTI]

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

Ouyang, Desheng

2006-10-30T23:59:59.000Z

71

A Comparative Study of Estimation Models for Satellite Relative Motion  

E-Print Network [OSTI]

increases, the linear models begin to diverge greatly from the true response. The additional two models (the biased CW equations, and the linear STM) show decent performance under specific conditions. The former accounts for some of the unaccounted...

Desai, Uri

2013-01-31T23:59:59.000Z

72

Efficient estimation and ensemble generation in climate modelling  

Science Journals Connector (OSTI)

...conjunction with computationally cheap energy-balance Earth system models (Andronova Schlesinger 2001; Forest et al. 2002...Team. 2006 Multiobjective tuning of grid-enabled earth system models using a non-dominated sorting genetic algorithm...

2007-01-01T23:59:59.000Z

73

Modeling, Estimation, and Control of Waste Heat Recovery Systems  

E-Print Network [OSTI]

Expander Models The components that generate power from steam expansion can be classified into two categories: turbo-

Luong, David

2013-01-01T23:59:59.000Z

74

Estimating optimal doses in random coefficient assay models  

E-Print Network [OSTI]

Y, = 1 , and Y = ? g Y;. The OLS estimate of s, from (4) is G(al?P7) = z, l, . The second method is generalized least squares (GLS) (Seber, 1977, pp. 60- 62). Denote the GLS estimates of n and P by ng and P~. Then = (XrV-'X)-'X V-'Y Pg where...[ru[q [sz&uag aqua fiq 'u[z8v, aaup ([; x[puadd~ aas) sr Og' Pun Ov yo x[zr sur aaumzvxoa aqL ?Ized g ~XUX = (~)cog = g axaqm se afioqv pau[[ap san apsru[psa Sqg aqL (X~X) zo+ U = Z~ azaqm ( zo)x 'urasoaqL p[ru[q [sspuag aq[ fiq 'uaqL (g) fiq uarr...

Rosenthal, Anna

2012-06-07T23:59:59.000Z

75

Fatigue Loads Estimation Through a Simple Stochastic Model  

E-Print Network [OSTI]

We propose a procedure to estimate the fatigue loads on wind turbines, based in a recent framework used for reconstructing data series of stochastic properties measured at wind turbines. Through a standard fatigue analysis, we show that it is possible to accurately estimate fatigue loads in any wind turbine within one wind park, using only the load measurements at one single turbine and the set of wind speed measurements. Our framework consists of deriving a stochastic differential equation that describes the evolution of the torque at one wind turbine driven by the wind speed. The stochastic equation is derived directly from the measurements and is afterwards used for predicting the fatigue loads at neighboring turbines. Such a framework could be used to mitigate the financial efforts usually necessary for placing measurement devices in all wind turbines within one wind farm. Finally, we also discuss the limitations and possible improvements of the proposed procedure.

Lind, Pedro G; Peinke, Joachim

2014-01-01T23:59:59.000Z

76

Three Essays on Estimation and Testing of Nonparametric Models  

E-Print Network [OSTI]

they are useful when the researcher does not have a theory specifying the exact relationship between economic variables. However, in many cases, economic theory indicates that the functional relationship between two vari- ables X and Y , say, Y = m (X), should... results that are smooth functions, and reduces the dimensions of numerical optimization from sample size n to the number of restrictions. Moreover, the procedure estimates the function Y = m (X) and its rst and second derivative simultaneously, so...

Ma, Guangyi

2012-10-19T23:59:59.000Z

77

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

E-Print Network [OSTI]

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

S贸bester, Andr谩s

78

Bayesian Parameter Estimation in Ising and Potts Models: A Comparative Study with Applications to  

E-Print Network [OSTI]

Bayesian Parameter Estimation in Ising and Potts Models: A Comparative Study with Applications December 6, 2009 Abstract Ising and Potts models are discrete Gibbs random field models originating in sta-8064; Fax: (919) 684-8594; Email: schmidler@stat.duke.edu 1 #12;1 Introduction Ising and Potts models

Schmidler, Scott

79

An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models  

Science Journals Connector (OSTI)

A central issue in contemporary science is the development of nonlinear data driven statistical-dynamical models for time series of noisy partial observations from nature or a complex model. It has been established recently that ad-hoc quadratic multi-level ... Keywords: Ensemble Kalman filter, Multi-level models, Nonlinear regression models, Parameter estimation of stochastic differential equations

John Harlim; Adam Mahdi; Andrew J. Majda

2014-01-01T23:59:59.000Z

80

Noise-contrastive estimation: A new estimation principle for unnormalized statistical models  

E-Print Network [OSTI]

nonlinear logistic regression to discriminate between the observed data and some artificially generated(.). The data pdf pd(.) is modeled by a parameterized family of functions {pm(.; )} where is a vector(.; ^) with pm(u; ^)du = 1. (1) This defines essentially a constraint in the optimiza- tion problem.1

Hyv盲rinen, Aapo

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

Estimating sandstone permeability using network models with pore size distributions  

E-Print Network [OSTI]

in appearance to empirical data. A network model is developed to simulate the pore geometry of a clean, well-sorted sandstone. Pores were modeled as straight capillaries connected in various lattice configurations. Complex lattice configurations produce more... properties and can be closely monitored, allowing for study of their effects on flow in the network lattice. Various parameter variation techniques are introduced in the literature. These techniques induce flow property changes in the model allowing rock...

Mathews, Alan Ronald

1991-01-01T23:59:59.000Z

82

Modeling, Estimation, and Control of Waste Heat Recovery Systems  

E-Print Network [OSTI]

Steam Turbine . . . . . .and A. Ghaffari. 揝team Turbine Model. Simulation= m ? v (h in ? h out ) Steam Turbine As with the pump, the

Luong, David

2013-01-01T23:59:59.000Z

83

Efficient estimation of thermodynamic state incorporating Bayesian model order selection  

E-Print Network [OSTI]

, infrared, FLIR 1. INTRODUCTION In 1993, our group began an effort to apply Grenander's pattern theory 1颅looking infrared (FLIR) camera. 3--6 Three颅dimensional, CAD shape颅models represented the objects of interest; a likelihood function, modeling the physics of FLIR cameras, encapsulated the way the objects were seen

Lanterman, Aaron

84

Parameter Estimation Techniques for a Class of Nonlinear Hysteresis Models  

E-Print Network [OSTI]

of the hysteresis loop. Hence optimal tendon design to attenuate wind or earthquake-induced vibrations in civil incorporate the nonlinear hysteresis mechanisms in a manner which facilitates subsequent implementation energy models [8,10,18颅20,24,25], Preisach formulations [2,3,5,7,16,26], and domain wall models [6

85

HEURISTIC APPROACH FOR OPTIMAL PARAMETER ESTIMATION OF ELECTRIC LOAD FORECAST MODEL  

Science Journals Connector (OSTI)

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

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

2009-01-01T23:59:59.000Z

86

Surface permeability tests: experiments and modelling for estimating effective permeability  

Science Journals Connector (OSTI)

...effective permeabilities in a two-dimensional domain with anisotropic effective permeabilities. The procedures put forward in this...1991Analytical models of the effective permeability of sand-shale reservoirsGeophys. J. Int. 105 513527( doi:10.1111...

2010-01-01T23:59:59.000Z

87

Modeling and Estimating Current Harmonics of Variable Electronic Loads  

E-Print Network [OSTI]

This paper develops a model for relating input current harmonic content to real power consumption for variable electronic loads, specifically for loads' actively controlled inverters energized by an uncontrolled rectification ...

Wichakool, Warit

88

Logit Models for Estimating Urban Area Through Travel  

E-Print Network [OSTI]

of all trips at an external station that are through trips. The second model distributes those through trips at one external station to the other external stations. The models produce separate results for commercial and non- commercial vehicles...-side interview technique at locations (called external stations) where traffic enters and exits the study area. During the daylight hours of a certain day, survey personnel would direct all vehicles or a sample of vehicles leaving the urban area to stop...

Talbot, Eric

2011-10-21T23:59:59.000Z

89

Hybrid Model of Existing Buildings for Transient Thermal Performance Estimation  

E-Print Network [OSTI]

. The model parameters, Cim,1, Rim,1, Cim,2, Rim,2, of the building internal mass can be optimized by minimizing the difference between the measured cooling energy consumption and the model predicted ICEBO2006, Shenzhen, China Control Systems... parameters (Cim,1, Rim,1, Cim,2, Rim,2) constitute the chromosome of an individual, the assumed ranges of these parameters are the search space for these parameters. Initializing the four parameters produces the initial population to start a GA run...

Xu, X.; Wang, S.

2006-01-01T23:59:59.000Z

90

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

91

Ego-Motion Estimation and 3D Model Refinement in Scenes with Varying Illumination  

E-Print Network [OSTI]

-motion and refining and updating a coarse depth map using surface parallax and a generalized dynamic im- age (GDI (DEM), we first estimate the ego-motion by combining a global ego-motion constraint and a local GDI field and the GDI model parameters locally and use them to refine the depth map estimates. We use

Agrawal, Amit

92

High and Low Temperature Series Estimates for the Critical Temperature of the 3D Ising Model  

E-Print Network [OSTI]

High and Low Temperature Series Estimates for the Critical Temperature of the 3D Ising Model Zaher Abstract We have analysed low and high temperature series expansions for the three颅dimensional Ising model temperature of the three颅dimensional (3d) Ising model on the simple cubic lattice has been exhaustively

Adler, Joan

93

Near-surface wind estimates using statistics from a planetary boundary-layer model  

Science Journals Connector (OSTI)

This paper shows the possibilities of a procedure for estimating near-surface wind statistics, by means of the numerical integration of a simple boundary-layer model with a second-order turbulent closure. Stan...

J. C. Labraga

1988-04-01T23:59:59.000Z

94

Model estimates of the mass balance of the Greenland and Antartic ice sheets  

E-Print Network [OSTI]

The six possible combinations of two climate models and three methods for calculating the melting of snow and ice are used to estimate current values of accumulation and ablation on the Greenland and Antarctic ice sheets. ...

Bugnion, V閞onique.

95

Bayesian Estimation and Testing of Structural Equation Models Richard Scheines  

E-Print Network [OSTI]

Carnegie Mellon University, USA Herbert Hoijtink Dept. of Methodology and Statistics University of Utrecht applying the Gibbs sampler to structural equation models to the first author at a 1994 workshop be applied to obtain a sample from the posterior distribution over the parameters of a SEM. We present

Spirtes, Peter

96

Evaluation of Clear Sky Models for Satellite-Based Irradiance Estimates  

SciTech Connect (OSTI)

This report describes an intercomparison of three popular broadband clear sky solar irradiance model results with measured data, as well as satellite-based model clear sky results compared to measured clear sky data. The authors conclude that one of the popular clear sky models (the Bird clear sky model developed by Richard Bird and Roland Hulstrom) could serve as a more accurate replacement for current satellite-model clear sky estimations. Additionally, the analysis of the model results with respect to model input parameters indicates that rather than climatological, annual, or monthly mean input data, higher-time-resolution input parameters improve the general clear sky model performance.

Sengupta, M.; Gotseff, P.

2013-12-01T23:59:59.000Z

97

A review of existing models and methods to estimate employment effects of pollution control policies  

SciTech Connect (OSTI)

The purpose of this paper is to provide information about existing models and methods used to estimate coal mining employment impacts of pollution control policies. The EPA is currently assessing the consequences of various alternative policies to reduce air pollution. One important potential consequence of these policies is that coal mining employment may decline or shift from low-sulfur to high-sulfur coal producing regions. The EPA requires models that can estimate the magnitude and cost of these employment changes at the local level. This paper contains descriptions and evaluations of three models and methods currently used to estimate the size and cost of coal mining employment changes. The first model reviewed is the Coal and Electric Utilities Model (CEUM), a well established, general purpose model that has been used by the EPA and other groups to simulate air pollution control policies. The second model reviewed is the Advanced Utility Simulation Model (AUSM), which was developed for the EPA specifically to analyze the impacts of air pollution control policies. Finally, the methodology used by Arthur D. Little, Inc. to estimate the costs of alternative air pollution control policies for the Consolidated Coal Company is discussed. These descriptions and evaluations are based on information obtained from published reports and from draft documentation of the models provided by the EPA. 12 refs., 1 fig.

Darwin, R.F.; Nesse, R.J.

1988-02-01T23:59:59.000Z

98

Efficient Estimation in a Regression Model with Missing Responses  

E-Print Network [OSTI]

function for the linear regression model where r#(X) = #>X is b( i; Xi; i) = E h fX E(Xj = 1)gl( ) + E(Xj = 1) 2 i n [X E(Xj = 1)]l( ) + E(Xj = 1) 2 o> 1 i n [Xi E(Xj = 1)]l( i) + E(Xj = 1) i 2 o : Proof: Assuming r#(X...) = #>X then _r#(X) = X, and Equation 2.2 becomes ( i; Xi; i) = fX E[Xj = 1]g l( i) + E[Xj = 1] i 2 : The e cient in uence function from Equation 2.3 is b( i; Xi; i) = E n [X E(Xj = 1)]l( ) + E(Xj = 1) 2 o n [X E(Xj = 1)]l( ) + E...

Crawford, Scott

2012-10-19T23:59:59.000Z

99

Model Based Torque Control and Estimation for Common Rail Diesel Engine  

Science Journals Connector (OSTI)

A rapid control prototyping based on torque control algorithm using V-cycle mode for common rail diesel engine was developed, and a torque prediction model was present which including a feed-forward mean value engine model and a feedback correction of ... Keywords: common rail diesel engine, control strategies, torque control, torque estimation

Wang Hongrong; Wang Yongfu; Liu Zhi

2010-11-01T23:59:59.000Z

100

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

E-Print Network [OSTI]

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

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

Estimation of a supply and demand model for the hired farm labor market in Texas  

E-Print Network [OSTI]

. Wage Elasticities of Hired Farm Labor Markets , , 3O 3. Order Condition of the Hypothesized Model 4. Estimated Model Coefficients for Texas Hired Farm Labor (1951-1975) 5. Wage El asti cities of Oemand and Immigration Elas- ticities of Supply 58...

Turley, Keith Pool

2012-06-07T23:59:59.000Z

102

Brain mass estimation by head circumference and body mass methods in neonatal glycaemic modelling and control  

Science Journals Connector (OSTI)

AbstractIntroduction Hyperglycaemia is a common complication of stress and prematurity in extremely low-birth-weight infants. Model-based insulin therapy protocols have the ability to safely improve glycaemic control for this group. Estimating non-insulin-mediated brain glucose uptake by the central nervous system in these models is typically done using population-based body weight models, which may not be ideal. Method A head circumference-based model that separately treats small-for-gestational-age (SGA) and appropriate-for-gestational-age (AGA) infants is compared to a body weight model in a retrospective analysis of 48 patients with a median birth weight of 750爂 and median gestational age of 25 weeks. Estimated brain mass, model-based insulin sensitivity (SI) profiles, and projected glycaemic control outcomes are investigated. SGA infants (5) are also analyzed as a separate cohort. Results Across the entire cohort, estimated brain mass deviated by a median 10% between models, with a per-patient median difference in SI of 3.5%. For the SGA group, brain mass deviation was 42%, and per-patient SI deviation 13.7%. In virtual trials, 8793% of recommended insulin rates were equal or slightly reduced (?爃ead circumference method, while glycaemic control outcomes showed little change. Conclusion The results suggest that body weight methods are not as accurate as head circumference methods. Head circumference-based estimates may offer improved modelling accuracy and a small reduction in insulin administration, particularly for SGA infants.

Cameron Allan Gunn; Jennifer L. Dickson; Christopher G. Pretty; Jane M. Alsweiler; Adrienne Lynn; Geoffrey M. Shaw; J. Geoffrey Chase

2014-01-01T23:59:59.000Z

103

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

SciTech Connect (OSTI)

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

104

New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants  

Broader source: Energy.gov [DOE]

To help developers more readily estimate the economic benefits of offshore wind plants, DOE recently released a new version of the Jobs and Economic Development Impact (JEDI) input-output modeling tool. The original tool was developed by the National Renewable Energy Laboratory to estimate the economic impacts of constructing renewable power plants. The updated version allows users to better understand the potential regional economic impacts of offshore wind development.

105

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

SciTech Connect (OSTI)

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

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

2009-01-15T23:59:59.000Z

106

CLIMATE MODELING BEST ESTIMATE DATASET (CMBE) -NEW ADDITIONS Renata McCoy, Shaocheng Xie, Stephen Klein, Lawrence Livermore National Laboratory  

E-Print Network [OSTI]

CLIMATE MODELING BEST ESTIMATE DATASET (CMBE) - NEW ADDITIONS Renata McCoy, Shaocheng Xie, Stephen ARM product, the Climate Modeling Best Estimate (CMBE) dataset, is being augmented with the additional observational and model data. The CMBE dataset was created to serve the needs of climate model developers

107

Comparison of blood flow models and acquisitions for quantitative myocardial perfusion estimation from dynamic CT  

Science Journals Connector (OSTI)

Myocardial blood flow (MBF) can be estimated from dynamic contrast enhanced (DCE) cardiac CT acquisitions, leading to quantitative assessment of regional perfusion. The need for low radiation dose and the lack of consensus on MBF estimation methods motivates this study to refine the selection of acquisition protocols and models for CT-derived MBF. DCE cardiac CT acquisitions were simulated for a range of flow states (MBF = 0.5, 1, 2, 3爉l (min g)?1, cardiac output = 3, 5, 8 L min?1). Patient kinetics were generated by a mathematical model of iodine exchange incorporating numerous physiological features including heterogenenous microvascular flow, permeability and capillary contrast gradients. CT acquisitions were simulated for multiple realizations of realistic x-ray flux levels. CT acquisitions that reduce radiation exposure were implemented by varying both temporal sampling (1, 2, and 3爏 sampling intervals) and tube currents (140, 70, and 25 mAs). For all acquisitions, we compared three quantitative MBF estimation methods (two-compartment model, an axially-distributed model, and the adiabatic approximation to the tissue homogeneous model) and a qualitative slope-based method. In total, over 11000 time attenuation curves were used to evaluate MBF estimation in multiple patient and imaging scenarios. After iodine-based beam hardening correction, the slope method consistently underestimated flow by on average 47.5% and the quantitative models provided estimates with less than 6.5% average bias and increasing variance with increasing dose reductions. The three quantitative models performed equally well, offering estimates with essentially identical root mean squared error (RMSE) for matched acquisitions. MBF estimates using the qualitative slope method were inferior in terms of bias and RMSE compared to the quantitative methods. MBF estimate error was equal at matched dose reductions for all quantitative methods and range of techniques evaluated. This suggests that there is no particular advantage between quantitative estimation methods nor to performing dose reduction via tube current reduction compared to temporal sampling reduction. These data are important for optimizing implementation of cardiac dynamic CT in clinical practice and in prospective CT MBF trials.

Michael Bindschadler; Dimple Modgil; Kelley R Branch; Patrick J La Riviere; Adam M Alessio

2014-01-01T23:59:59.000Z

108

RADIATION CARCINOGENESIS IN MAN: INFLUENCE OF DOSE-RESPONSE MODELS AND RISK PROJECTION MODELS IN THE ESTIMATION OF RISK COEFFICIENTS FOLLOWING EXPOSURE TO LOW-LEVEL RADIATION  

E-Print Network [OSTI]

RADIATION CARCINOGENESIS IN MAN: INFLUENCE OF DOSE-RESPONSE MODELS AND RISK PROJECTION MODELS IN THE ESTIMATIONRADIATION CARCINOGENESIS IN HAN: INFLUENCE OF DOSE-RESPONSE MODELS AND RISK PROJECTION MODELS IN THE ESTIMATION

Fabrikant, J.I.

2010-01-01T23:59:59.000Z

109

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

SciTech Connect (OSTI)

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

110

MRI based diffusion and perfusion predictive model to estimate stroke Stephen E. Rosea,  

E-Print Network [OSTI]

MRI based diffusion and perfusion predictive model to estimate stroke evolution Stephen E. Rosea and perfusion images acquired in the acute stage of stroke. The validity of this methodology was tested on novel patient data including data acquired from an independent stroke clinic. Regions-of-interest (ROIs

McLachlan, Geoff

111

SO2 emissions and lifetimes: Estimates from inverse modeling using in situ and global, spacebased  

E-Print Network [OSTI]

SO2 emissions and lifetimes: Estimates from inverse modeling using in situ and global, spacebased 18 March 2011. [1] Topdown constraints on global sulfur dioxide (SO2) emissions are inferred through of GEOSChem for inversion of SO2 columns to emissions. The seasonal mean SO2 lifetime calculated with the GEOS

Martin, Randall

112

A Prognostic Model That Makes Quantitative Estimates of Probability of Relapse for Breast Cancer Patients  

Science Journals Connector (OSTI)

...models predictions to the true probability of relapse (19 , 20...area is an expression of the probability that, for two randomly chosen...values was evaluated by a z statistic (22 , 23) . These estimations...comparing the average predicted probability with the observed relapse...

Michelino De Laurentiis; Sabino De Placido; Angelo R. Bianco; Gary M. Clark; and Peter M. Ravdin

1999-12-01T23:59:59.000Z

113

MODEL-BASED VEHICLE STATE ESTIMATION USING PREVIEWED ROAD GEOMETRY AND NOISY SENSORS  

E-Print Network [OSTI]

to the automotive world. Unfortunately for the designers of vehicle driver assist systems, however, most low- cost states from low-cost sensors remains [2]. In the case of autonomous vehicle guidance or in modeling another sen- sor input to estimate vehicle state. This is a particularly low-cost data source, especially

Brennan, Sean

114

Error estimation of bathymetric grid models derived from historic and contemporary datasets  

E-Print Network [OSTI]

1 Error estimation of bathymetric grid models derived from historic and contemporary datasets and rapidly collecting dense bathymetric datasets. Sextants were replaced by radio navigation, then transit, to digitized contours; the test dataset shows examples of all of these types. From this database, we assign

New Hampshire, University of

115

Registration of MR prostate images with biomechanical modeling and nonlinear parameter estimation  

E-Print Network [OSTI]

radiation dose to the cancerous lesion while sparing surrounding healthy tis- sues. In 1996, Kurhanewicz etRegistration of MR prostate images with biomechanical modeling and nonlinear parameter estimation, and Yongbok Kim Department of Radiation Oncology, University of California, San Francisco, Comprehensive

Alterovitz, Ron

116

Estimating Water Quality Pollution Impacts Based on Economic Loss Models in Urbanization Process  

E-Print Network [OSTI]

Estimating Water Quality Pollution Impacts Based on Economic Loss Models in Urbanization Process Abstract: The study investigates water quality pollution impacts on urbanization by analyzing temporal, more populations were moved from rural area into urban area, and more costs were input in water quality

Yu, Qian

117

Estimating Use of Non-Motorized Infrastructure: Models of Bicycle and  

E-Print Network [OSTI]

Estimating Use of Non-Motorized Infrastructure: Models of Bicycle and Pedestrian Traffic 路 Transportation managers lack data about use of bicycle and pedestrian facilities. 路 Federal, state, & local of Day Bicycle: Loop Detector Bicycle: Manual Count Pedestrian: Manual Count #12;Scaling factors

Minnesota, University of

118

Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals  

E-Print Network [OSTI]

Towards Model-Based Estimation of the Cardiac Electro-Mechanical Activity from ECG Signals by comparing the actual patient's ECG with computational results and the deformation of the biomechani- cal-to-access measurements on a patient: the ECG (Electrocardiogram), and a time sequence of volumetric ultrasound images

Coudi猫re, Yves

119

Study of various models for estimation of penetration rate of hard rock \\{TBMs\\}  

Science Journals Connector (OSTI)

Various approaches for predicting penetration rate of hard rock tunnel boring machines (TBMs) have been studied by researchers since the early stages of TBM application in the 1950s. These studies resulted in the development of several penetration prediction models. For evaluation and validation of a model, it is important to test its predictive capability on new projects. A model should include parameters for machine specifications and ground conditions. The model validation process can reveal problems that an existing model may have in providing an accurate estimate for a given combination of specifications and conditions. This paper offers a brief review and discusses the capabilities of some of the more commonly used TBM performance prediction models. To evaluate the accuracy of these models, the predicted rates are compared with recorded TBM penetration rates in a database of recently completed tunnels. Comparison between predicted and recorded rates indicates that most of the existing models tend to overestimate TBM performance. This comparison highlights the on-going difficulties the industry continues to experience in estimating penetration rate. Even the use of normalized penetration rate indices has not been able to provide higher accuracy expected in related predictions. This paper discusses the development of new models to support an improved level of predictive accuracy in penetration rate estimating. These models are based on the analysis of a comprehensive database of more than 300 TBM projects records. Analyses of performance information within this database provided for the development of simpler models that are focused on quantifying the influence of primary factors, such as tunnel diameter, UCS, RPM, and rock type. These new models are introduced to provide alternative ways of penetration prediction. These models are especially useful at the planning stage of a tunneling project where \\{TBMs\\} can be used. These models also serve to provide secondary checks for other more in-depth analyses of TBM performance for an initial assessment of required boring time (inverse of penetration rate), and an estimate of utilization rate in an activity-based TBM model.

Ebrahim Farrokh; Jamal Rostami; Chris Laughton

2012-01-01T23:59:59.000Z

120

Efficient Semiparametric Estimators for Nonlinear Regressions and Models under Sample Selection Bias  

E-Print Network [OSTI]

simulations. : : : : 68 VIII Five estimates of and and their estimated standard deviation for the ambulatory expenditures data, under two weighting func- tion models. The rst weighting function is w(x; ) = e e x , the second weighting function is w...(X; ) + ; where Y 2 R is the response variable, X 2 Rk is the predictor variable, 2 Rp is the unknown regression parameter and is the random error satisfying E( jX) = 0 and E( 2jX) = 2. Y and are assumed to have nite fourth moments. The parameter vector...

Kim, Mi Jeong

2012-10-19T23:59:59.000Z

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

Application of Autoregressive Models to In-Service Estimation of Transient Response for LMFBR Process Instrumentation  

SciTech Connect (OSTI)

The response of a sensor depends on its operating conditions, and thus it is desirable to develop an in-service method for response time estimation. The applicability of the autoregressive (AR) model for this purpose was examined in the case of the fuel subassembly outlet coolant thermocouples and the primary circuit electromagnetic flowmeter (EMF) of Monju, the prototype fast breeder reactor in Japan.The use of an AR model with exogenous input (ARX model) is possible when the physical variable to be sensed can be observed by an alternative means with a faster response time than that of the sensor in question. In the case of the subassembly outlet thermocouple, the temperature output from an eddy-current sensor, during pseudorandom reactor power variation, served as the exogenous input.In respect to the thermocouple response, AR and ARX modeling were shown to be applicable, and the transient responses thus derived agreed well with each other and with the results measured by means of a step change in sodium temperature. However, the primary circuit EMF response time, estimated using the AR model, decreased with increasing flow rate even when approaching the rated flow, demonstrating that the method was not completely applicable. Nevertheless, it can be concluded that the response is faster than that estimated in the rated condition.

Ueda, Masashi; Tomobe, Katsuma; Setoguchi, Keiichi; Endou, Akira [Japan Nuclear Cycle Development Institute (Japan)

2002-02-15T23:59:59.000Z

122

Numerical estimation model of energy conversion for small hybrid solar杦ind system  

Science Journals Connector (OSTI)

This article presents a numerical model which can estimate the energy conversions of separate and hybrid solar杦ind systems under variable weather. The model integrates the equations associated with the characteristics of photovoltaic generation, wind energy conversion, energy balance, and battery bank, and uses the local database for radiation, wind speed, and ambient temperature. Once the equation associated with the characteristics of load is given, the numerical model can estimate the monthly and yearly powers output of the separate and hybrid solar杦ind systems provided with different configurations. As a fundamental research, the presentations of daily profiles of solar radiation, wind energy, and ambient temperature are explained in detail, and the combination of the characteristics of wind energy conversion and battery bank is determined. The condition of hybrid action is shown, and the solutions are certain to be found. The operation strategies of separate and hybrid systems are also presented.

Shun Ching Lee

2012-01-01T23:59:59.000Z

123

Improvement of the equivalent sphere model for better estimates of skin or eye dose in space radiation environments  

E-Print Network [OSTI]

sphere Radiation transport a b s t r a c t It is often useful to get a quick estimate of the dose or dose drastically improves the accuracy of the estimates of dose and dose equivalent in space radiation environmentsImprovement of the equivalent sphere model for better estimates of skin or eye dose in space

Lin, Zi-wei

124

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

E-Print Network [OSTI]

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

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

2014-04-17T23:59:59.000Z

125

An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models  

SciTech Connect (OSTI)

A central issue in contemporary science is the development of nonlinear data driven statistical杁ynamical models for time series of noisy partial observations from nature or a complex model. It has been established recently that ad-hoc quadratic multi-level regression models can have finite-time blow-up of statistical solutions and/or pathological behavior of their invariant measure. Recently, a new class of physics constrained nonlinear regression models were developed to ameliorate this pathological behavior. Here a new finite ensemble Kalman filtering algorithm is developed for estimating the state, the linear and nonlinear model coefficients, the model and the observation noise covariances from available partial noisy observations of the state. Several stringent tests and applications of the method are developed here. In the most complex application, the perfect model has 57 degrees of freedom involving a zonal (east杦est) jet, two topographic Rossby waves, and 54 nonlinearly interacting Rossby waves; the perfect model has significant non-Gaussian statistics in the zonal jet with blocked and unblocked regimes and a non-Gaussian skewed distribution due to interaction with the other 56 modes. We only observe the zonal jet contaminated by noise and apply the ensemble filter algorithm for estimation. Numerically, we find that a three dimensional nonlinear stochastic model with one level of memory mimics the statistical effect of the other 56 modes on the zonal jet in an accurate fashion, including the skew non-Gaussian distribution and autocorrelation decay. On the other hand, a similar stochastic model with zero memory levels fails to capture the crucial non-Gaussian behavior of the zonal jet from the perfect 57-mode model.

Harlim, John, E-mail: jharlim@psu.edu [Department of Mathematics and Department of Meteorology, the Pennsylvania State University, University Park, PA 16802, Unites States (United States)] [Department of Mathematics and Department of Meteorology, the Pennsylvania State University, University Park, PA 16802, Unites States (United States); Mahdi, Adam, E-mail: amahdi@ncsu.edu [Department of Mathematics, North Carolina State University, Raleigh, NC 27695 (United States)] [Department of Mathematics, North Carolina State University, Raleigh, NC 27695 (United States); Majda, Andrew J., E-mail: jonjon@cims.nyu.edu [Department of Mathematics and Center for Atmosphere and Ocean Science, Courant Institute of Mathematical Sciences, New York University, New York, NY 10012 (United States)

2014-01-15T23:59:59.000Z

126

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

SciTech Connect (OSTI)

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

127

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

SciTech Connect (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篊 to 150篊 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, Bruce A.; Kruger, Paul

1988-01-01T23:59:59.000Z

128

Estimation of expected human attention weights based on a decision field theory model  

Science Journals Connector (OSTI)

Abstract Modeling human decision making behavior is of great interest in understanding how a decision maker weights different decision attributes when making a decision. Such knowledge is critically important in helping predict future decisions, evaluating human decision performance, and improving the design of human and machine interface systems. Decision field theory (DFT) provides a psychological representation of the cognitive deliberation process, which is driven by the fluctuations of a person抯 attention among decision attributes. In this research area, the most common use of a DFT model is to estimate or predict the human decisions by using a set of pre-specified expected attention weights (EAWs) in the DFT model. Unlike other research, this paper extends the capabilities of DFT in a complementary direction, showing how to fit or train a DFT model by estimating the EAW based on sequentially obtained samples of decision trials. Furthermore, the inherent connection between the EAW and the decision choice uncertainty is investigated. The proposed modeling method is discussed in detail for a two-alternative decision scenario based on two attributes. Both simulations and a case study are conducted in the paper to demonstrate the effectiveness of the proposed modeling approach.

Andres G. Abad; Jionghua (Judy) Jin; Young-Jun Son

2014-01-01T23:59:59.000Z

129

Estimation of errors in the inverse modeling of accidental release of atmospheric pollutant: Application to the reconstruction  

E-Print Network [OSTI]

Estimation of errors in the inverse modeling of accidental release of atmospheric pollutant difficulty when inverting the source term of an atmospheric tracer dispersion problem is the estimation of the prior errors: those of the atmospheric transport model, those ascribed to the representativity

Paris-Sud XI, Universit茅 de

130

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

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

131

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

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

132

Pharmacokinetic calculator program for generation of initial parameter estimates from a three-compartment infusion model  

Science Journals Connector (OSTI)

A polyexponential curve-stripping program, kin, is described for use on the HP-41CV programmable calculator. The program may be used in the analysis of plasma-concentration-time curves for a three-compartment intravenous bolus or infusion model with linear elimination processes. The coefficients and hybrid rate constants of the exponential function are then used to compute pharmacokinetic parameters (volume of the central compartment, intercompartmental rate transfer constants), which may be used as initial estimates of model parameters in non-linear regression curve-fitting procedures.

James D. Henderson; Richard D. Olson; William R. Ravis

1985-01-01T23:59:59.000Z

133

Experimental modeling of Wiener filters estimated on an operating diesel engine  

Science Journals Connector (OSTI)

Abstract Sound source separation in diesel engines can be implemented using a Wiener filter, or spectrofilter, that can extract the combustion contribution in the overall noise. In this study this filter characterizes the transfer function between a cylinder pressure and a measurement point. An engine is characterized by several filters (one for each cylinder) which are estimated for many operating conditions (engine speed and load). The purpose of this work is to obtain an averaged spectrofilter allowing the synthesis of combustion noise in all operating conditions. This synthesis should be accurate enough to be used in perceptive studies. In order to refine the spectrofilter estimation in the medium frequency band, this paper consists in taking advantage of the multitude of information given by the estimations from different operating conditions. To do this, an experimental model is adopted so modal parameters are extracted from a great number of measured filters. Different procedures such as the ESPRIT method or the LSCE method (modal analysis) are used to decompose the impulse responses on a complex exponential basis. The spectrofilters estimated from different operating conditions are analyzed and compared in this reduced basis, in order to identify the underlying structural parameters. These parameters are compared to the results of an experimental characterization of the stopped engine. The accuracy of the synthesis (number of components of the filter) is an important issue because these filters will be used in perceptive applications, extracting combustion noises. This paper is an extended version of the work initially presented at the conference Surveillance 6 in November 2011 in Compi鑗ne, France [1] (J. Drouet, Quentin Leclere, Etienne Parizet. Experimental modeling of Wiener filters estimated on an operating diesel engine, in: Proceedings of the Surveillance, vol. 6, Compi慹gne, France, 2011.).

Julie Drouet; Quentin Lecl鑢e; Etienne Parizet

2015-01-01T23:59:59.000Z

134

Estimation of Mutation Frequencies of Mice Caused by Radiation -- Application of LDM Model I  

E-Print Network [OSTI]

In a separate paper [Y. Manabe et al: arxiv:1204.2324], we propose a mathematical model to estimate biological damage caused by radiation, which we call LDM (Low Dose Meeting) Model, hereafter. By using LDM model, we calculate the mutation frequency of mice and compare our results with the existing data, the frequency of transmitted specific-locus mutations induced in mouse spermatogonia stem-cells, which was reported by Russell and Kelly [W. L. Russell. et al: Proc. Natl. Acad. Sci. USA 79 (1982), 542-544]. By fixing the two parameters of LDM model, c and {\\mu}, we can reproduce the observed data almost well. They are determined by experimental value of mutation frequency together with the corresponding total dose and dose rate. For a moment, we had to adopt simple assumption due to the lack of detailed information. If we have information of the exposure process exactly, it is easy to estimate the dose-rate effectiveness factor (DDREF) almost exactly. Thus LDM model may be applied to total dose and dose rate...

Manabe, Yuichiro

2012-01-01T23:59:59.000Z

135

Parameter Identification and On-line Estimation of a Reduced Kinetic Model  

SciTech Connect (OSTI)

In this work, we present the estimation techniques used to update the model parameters in a reduced kinetic model describing the oxidation-reduction re- actions in a hydrothermal oxidation reactor. The model is used in a nonlinear model-based controller that minimizes the total aqueous nitrogen in the reac- tor effluent. Model reduction is accomplished by com- bining similar reacting compounds into one of four component groups and considering the global reac- tion pathways for each of these groups. The reduced kinetic model developed for thk reaction system pro- vides a means to characterize the complex chemical reaction system without considering each chemicaJ species present and the reaction kinetics of every pos- sible reaction pathway. For the reaction system under study, model reduction is essential in order to reduce the computational requirement so that on-line imple- mentation of the nonlinear model-based controller is possible and also to reduce the amount of a priori information required for the model.

Dellorco, P.C.; Flesner, R.L.; Le, L.A.; Littell, J.D.; Muske, K.R.

1999-02-01T23:59:59.000Z

136

A BIOMASS-BASED MODEL TO ESTIMATE THE PLAUSIBILITY OF EXOPLANET BIOSIGNATURE GASES  

SciTech Connect (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, H{sub 2}S, CH{sub 4}, CH{sub 3}Cl, and DMS. We have applied the models to propose NH{sub 3} as a biosignature gas on a 'cold Haber World', a planet with a N{sub 2}-H{sub 2} atmosphere, and to demonstrate why gases such as CH{sub 3}Cl 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 as CH{sub 4}, H{sub 2}S, and N{sub 2}O) produced from life that extracts energy from chemical potential energy gradients will always have false positives because geochemistry has the same gases to work with as life does, and gases (such as DMS and CH{sub 3}Cl) produced for secondary metabolic reasons are far less likely to have false positives but because of their highly specialized origin are more likely to be produced in small quantities. The biomass model estimates are valid to one or two orders of magnitude; the goal is an independent approach to testing whether a biosignature gas is plausible rather than a precise quantification of atmospheric biosignature gases and their corresponding biomasses.

Seager, S.; Bains, W.; Hu, R. [Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139 (United States)

2013-10-01T23:59:59.000Z

137

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

Science Journals Connector (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 as CH4, H2S, and N2O) produced from life that extracts energy from chemical potential energy gradients will always have false positives because geochemistry has the same gases to work with as life does, and gases (such as DMS and CH3Cl) produced for secondary metabolic reasons are far less likely to have false positives but because of their highly specialized origin are more likely to be produced in small quantities. The biomass model estimates are valid to one or two orders of magnitude; the goal is an independent approach to testing whether a biosignature gas is plausible rather than a precise quantification of atmospheric biosignature gases and their corresponding biomasses.

S. Seager; W. Bains; R. Hu

2013-01-01T23:59:59.000Z

138

Effects of improved modeling on best estimate BWR severe accident analysis  

SciTech Connect (OSTI)

Since 1981, ORNL has completed best estimate studies analyzing several dominant BWR accident scenarios. These scenarios were identified by early Probabilistic Risk Assessment (PRA) studies and detailed ORNL analysis complements such studies. In performing these studies, ORNL has used the MARCH code extensively. ORNL investigators have identified several deficiencies in early versions of MARCH with regard to BWR modeling. Some of these deficiencies appear to have been remedied by the most recent release of the code. It is the purpose of this paper to identify several of these deficiencies. All the information presented concerns the degraded core thermal/hydraulic analysis associated with each of the ORNL studies. This includes calculations of the containment response. The period of interest is from the time of permanent core uncovery to the end of the transient. Specific objectives include the determination of the extent of core damage and timing of major events (i.e., onset of Zr/H/sub 2/O reaction, initial clad/fuel melting, loss of control blade structure, etc.). As mentioned previously the major analysis tool used thus far was derived from an early version of MARCH. BWRs have unique features which must be modeled for best estimate severe accident analysis. ORNL has developed and incorporated into its version of MARCH several improved models. These include (1) channel boxes and control blades, (2) SRV actuations, (3) vessel water level, (4) multi-node analysis of in-vessel water inventory, (5) comprehensive hydrogen and water properties package, (6) first order correction to the ideal gas law, and (7) separation of fuel and cladding. Ongoing and future modeling efforts are required. These include (1) detailed modeling for the pressure suppression pool, (2) incorporation of B/sub 4/C/steam reaction models, (3) phenomenological model of corium mass transport, and (4) advanced corium/concrete interaction modeling. 10 references, 17 figures, 1 table.

Hyman, C.R.; Ott, L.J.

1984-01-01T23:59:59.000Z

139

Biokinetic and dosimetric modelling in the estimation of radiation risks from internal  

Science Journals Connector (OSTI)

The International Commission on Radiological Protection (ICRP) has developed biokinetic and dosimetric models that enable the calculation of organ and tissue doses for a wide range of radionuclides. These are used to calculate equivalent and effective dose coefficients (dose in Sv燘q?1 intake), considering occupational and environmental exposures. Dose coefficients have also been given for a range of radiopharmaceuticals used in diagnostic medicine. Using equivalent and effective dose, exposures from external sources and from different radionuclides can be summed for comparison with dose limits, constraints and reference levels that relate to risks from whole-body radiation exposure. Risk estimates are derived largely from follow-up studies of the survivors of the atomic bombings at Hiroshima and Nagasaki in 1945. New dose coefficients will be required following the publication in 2007 of new ICRP recommendations. ICRP biokinetic and dosimetric models are subject to continuing review and improvement, although it is arguable that the degree of sophistication of some of the most recent models is greater than required for the calculation of effective dose to a reference person for the purposes of regulatory control. However, the models are also used in the calculation of best estimates of doses and risks to individuals, in epidemiological studies and to determine probability of cancer causation. Models are then adjusted to best fit the characteristics of the individuals and population under consideration. For example, doses resulting from massive discharges of strontium-90 and other radionuclides to the Techa River from the Russian Mayak plutonium plant in the early years of its operation are being estimated using models adapted to take account of measurements on local residents and other population-specific data. Best estimates of doses to haemopoietic bone marrow, in utero and postnatally, are being used in epidemiological studies of radiation-induced leukaemia. Radon-222 is the one internal emitter for which control of exposure is based on direct information on cancer risks, with extensive information available on lung cancer induction by radon progeny in mines and consistent data on risks in homes. The dose per unit 222Rn exposure can be calculated by comparing lung cancer risk estimates derived for 222Rn exposure and for external exposure of the Japanese survivors. Remarkably similar values are obtained by this method and by calculations using the ICRP model of the respiratory tract, providing good support for model assumptions. Other informative comparisons with risks from external exposure can be made for Thorotrast-induced liver cancer and leukaemia, and radium-induced bone cancer. The bone-seeking alpha emitters, plutonium-239 and radium isotopes, are poorer leukaemogens than predicted by models. ICRP dose coefficients are published as single values without consideration of uncertainties. However, it is clear that full consideration of uncertainties is appropriate when considering best estimates of doses and risks to individuals or specific population groups. An understanding of the component uncertainties in the calculation of dose coefficients can be seen as an important goal and should help inform judgements on the control of exposures. The routine consideration of uncertainties in dose assessments, if achievable, would be of questionable value when doses are generally maintained at small fractions of limits.

John Harrison

2009-01-01T23:59:59.000Z

140

Estimation of aerial deposition and foliar uptake of xenobiotics: Assessment of current models  

SciTech Connect (OSTI)

This report reviews existing mathematical and/or computer simulation models that estimate xenobiotic deposition to and transport through (both curricular and stomatal) vegetative surfaces. The report evaluates the potential for coupling the best of those models to the existing Uptake, Translocation, Accumulation, and Biodegradation model to be used for future xenobiotic exposure assessments. Here xenobiotic compounds are defined as airborne contaminants, both organic and gaseous pollutants, that are introduced into the environment by man. Specifically this document provides a detailed review of the state-of-the-art models that addressed aerial deposition of particles and gases to foliage; foliar and cuticular transport, metabolism, and uptake of organic xenobiotics; and stomatal transport of gaseous and volatile organic xenobiotic pollutants. Where detailed information was available, parameters for each model are provided on a chemical by chemical as well as species by species basis. Sufficient detail is provided on each model to assess the potential for adapting or coupling the model to the existing UTAB plant exposure model. 126 refs., 6 figs., 10 tabs.

Link, S.O.; Fellows, R.J.; Cataldo, D.A.; Droppo, J.G.; Van Voris, P.

1987-10-01T23:59:59.000Z

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.


141

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

142

Development of a weighted-average estimator from a maximum-likelihood estimator and an instrumental-variable estimator in a structural model  

E-Print Network [OSTI]

? 62 S2, (3, 3) where 12??(2) P1M L2S?? 2P1M L2Se? + See S, = 211xx ? 6?S??. Similarly, to estimate the variance of MLl, (2o?'?), ) + ~S . ~) c? g??(, ) (P1ML1) 62 S2 + S 6 ( I) (3. 9) where aeu(1) PCCCL1Suu cue Cr. ?(, ) ? P, Mz, Suu ? 2P, M z... cree(cv) ? Pllv Suu 2P1IV Seu + See The asymptotic covariance of the ML and IV estimators is ACov((b?(a?? 1)) ~ Pccccl, e (b?(a?? 1)) ~ P, rv ) = ? "", (3. 13) Ouu (where ACov is the covariance of the limiting distributions), which is also equal...

Gruben, David Christopher

2012-06-07T23:59:59.000Z

143

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

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

144

Semiparametric Models with Functional Responses in a Model Assisted Survey Sampling Setting : Model Assisted Estimation of Electricity Consumption Curves  

Science Journals Connector (OSTI)

This work adopts a survey sampling point of view to estimate the mean curve of large databases of functional data. When storage capacities are limited, selecting, with survey techniques a small fraction of the ob...

Herv Cardot; Alain Dessertaine; Etienne Josserand

2010-01-01T23:59:59.000Z

145

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

SciTech Connect (OSTI)

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

146

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

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

147

Analytic estimation of the Lyapunov exponent in a mean-field model undergoing a phase transition  

Science Journals Connector (OSTI)

The parametric instability contribution to the largest Lyapunov exponent ?1 is derived for a mean-field Hamiltonian model, with attractive long-range interactions. This uses a recent Riemannian approach to describe Hamiltonian chaos with a large number N of degrees of freedom. Through microcanonical estimates of suitable geometrical observables, the mean-field behavior of ?1 is analytically computed and related to the second-order phase transition undergone by the system. It predicts that chaoticity drops to zero at the critical temperature and remains vanishing above it, with ?1 scaling as N-(1/3) to the leading order in N.

Marie-Christine Firpo

1998-06-01T23:59:59.000Z

148

Potential of soil moisture observations in flood modelling: Estimating initial conditions and correcting rainfall  

Science Journals Connector (OSTI)

Abstract Rainfall runoff (RR) models are fundamental tools for reducing flood hazards. Although several studies have highlighted the potential of soil moisture (SM) observations to improve flood modelling, much research has still to be done for fully exploiting the evident connection between SM and runoff. As a way of example, improving the quality of forcing data, i.e. rainfall observations, may have a great benefit in flood simulation. Such data are the main hydrological forcing of classical RR models but may suffer from poor quality and record interruption issues. This study explores the potential of using SM observations to improve rainfall observations and set a reliable initial wetness condition of the catchment for improving the capability in flood modelling. In particular, a RR model, which incorporates SM for its initialization, and an algorithm for rainfall estimation from SM observations are coupled using a simple integration method. The study carried out at the Valescure experimental catchment (France) demonstrates the high information content retained by SM for RR transformation, thus giving new possibilities for improving hydrological applications. Results show that an appropriate configuration of the two models allows obtaining improvement in flood simulation up to 15% in mean and 34% in median Nash Sutcliffe performances as well as a reduction of the median error in volume and on peak discharge of about 30% and 15%, respectively.

Christian Massari; Luca Brocca; Tommaso Moramarco; Yves Tramblay; Jean-Francois Didon Lescot

2014-01-01T23:59:59.000Z

149

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

E-Print Network [OSTI]

in the literature. Accurate estimation of the battery's internal electrochemical state enables an expanded range governor, state-of-charge (SOC) estimation. I. INTRODUCTION MODEL-BASED battery monitoring algorithms theories, captures relevant solid-state and electrolyte diffusion dynamics and accurately predicts current

150

Pie Model of Capital Structure  

Science Journals Connector (OSTI)

A model of the debt-equity ratio of the firms, graphically depicted in slices of a pie that represents the value of the firm...

2006-01-01T23:59:59.000Z

151

Development of WTI and turbidity estimation model using SMA application to Kushiro Mire, eastern Hokkaido, Japan  

Science Journals Connector (OSTI)

A new water-turbidity index (WTI) based on multispectral images was developed and tested at Kushiro Mire, eastern Hokkaido, Japan. An algorithm for turbidity estimation was developed and applied to Landsat TM images to monitor the turbid water on the mire surface during the snow-melting season. We used spectral mixture analysis (SMA) to produce a turbidity estimation model. The SMA 搖nmixes a mixed pixel determining the fractions due to each spectral end member. In this study, we used four end members (1, alder; 2, reed; 3, high-concentration turbid water (485 ppm); 4, low-concentration turbid water (10 ppm) measured in the test site. The WTI was determined by the following equation: WTI=amax/(amax+amin), where amax is abundance of high-concentration turbid water and amin is abundance of low-concentration turbid water. The end-member spectra of alder and reed were measured in the laboratory using specimens collected at the test site. The spectrum of turbid water was measured at the test sites. The relative abundance of each end member was estimated based on this spectral information using SMA. The same formula was applied to Landsat TM images. Then we applied the WTI equation to the end-member images to obtain a WTI map. In the mire wetland region, turbid water spreads under alder trees and reed grasses. To verify our turbidity estimation method based on WTI under these conditions, we constructed a small experimental wetland consisting of mixed stands of alder and reed. WTI was calculated from the mixed spectrum of this 揳rtificial wetland and the regression curve for the relation between WTI and the actual turbidity was determined (R2=.91). Finally, this regression equation was used to derive a turbidity map from the WTI image.

Satoshi Kameyama; Yoshiki Yamagata; Futoshi Nakamura; Masami Kaneko

2001-01-01T23:59:59.000Z

152

A model for determining shelf life, estimating terminal body composition, yield grade and quality grade of feedlot cattle  

E-Print Network [OSTI]

as to style and content by: F. M. Byers (Chairman of Co m ttee) James McGrann (Member) ~&~& G. T. Schelling (Member) December 1986 ABSRACT A Model for Determining Shelf Life, Estimating Terminal Body Composition, Yield Grade and Quality Grade... of Feedlot Cattle. (December 1985) Richard Jay Perry, B, S. , Texas AlkM University Chairman of Advisory Committee: Dr. F, M. Byers A model for determining shelf life and estimating carcass fat (kg), yield grade and quality grade was developed. Shelf...

Perry, Richard Jay

1985-01-01T23:59:59.000Z

153

An Earned Schedule-based regression model to improve cost estimate at completion  

Science Journals Connector (OSTI)

Abstract Traditional Earned Value Management (EVM) index-based methods for Cost Estimate at Completion (CEAC) of an ongoing project have been known for their limitations inherent with both the assumption that past EVM data is the best available information and early-stage unreliability. In an attempt to overcome such limitations, a new CEAC methodology is proposed based on a modified index-based formula predicting expected cost for the remaining work with the Gompertz growth model via nonlinear regression curve fitting. Moreover, the proposed equation accounts for the schedule progress as a factor of cost performance. To this end, it integrates into its equation an Earned Schedule-based factor indicating expected duration at completion. The proposed model shows itself to be more accurate and precise in all early, middle, and late stage estimates than those of four compared traditional index-based formulae. The developed methodology is a practical tool for Project Managers to better incorporate the progress status into the task of computing CEAC and is a contribution to extending EVM research to better capture the inherent relation between cost and schedule factors.

Timur Narbaev; Alberto De Marco

2014-01-01T23:59:59.000Z

154

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

E-Print Network [OSTI]

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

Garcia, Raul

1969-01-01T23:59:59.000Z

155

Estimates of wave front distortion from measurements of scattering by model random media and calf liver  

Science Journals Connector (OSTI)

An expression based on a perturbation method is employed to estimate the correlation of path length difference in a plane normal to the direction of wave propagation from measurements of ultrasonic scattering by model random media and calf liver. The expression gives the correlation function of path length difference in terms of an integral of the correlation function of the medium variations or an equivalent integral of the power spectrum of medium variations both for a scattering angle of zero degrees. Power spectra derived from measurements of average differential scattering cross section over a spatial?frequency window are used to fit analytic functions that extend over all spatial frequencies. The results for the windowed and unwindowed data yield correlation functions and corresponding power spectra that are used to estimate the correlation function of path length difference. The results suggest that the correlation length in calf liver is less than 100 ?m and that a root?mean?square path length variation of about 20 ?m results from propagation through a 100?mm calf liver path.

Robert C. Waag; Diane Dalecki; Wallace A. Smith

1989-01-01T23:59:59.000Z

156

Random Utility/Multinomial Logit Model Literature Amemiya, Takeshi. 1977. "On a Two-Step Estimation of a Multivariate Logit Model." Journal  

E-Print Network [OSTI]

Random Utility/Multinomial Logit Model Literature Amemiya, Takeshi. 1977. "On a Two-Step Estimation,-I.-E. "Random Utility Model for Sportfishing: Some Preliminary Results for Florida." Marine extensive use of the random utility (or discrete choice) model in recent years, but few applications appear

157

RESRAD-BUILD: A model to estimate dose from contaminated structures. Innovative technology summary report  

SciTech Connect (OSTI)

The RESRAD-BUILD model is an exposure pathway and analysis code used to determine whether radiologically contaminated buildings and structures can be free released for a specific land use (e.g., residential or industrial). The model provides estimates of dose to a hypothetical receptor from the structure. The RESRAD-BUILD technology can calculate dose from variety of site-specific hypothetical scenarios, decay-time intervals, and radionuclides. When using the RESRAD-BUILD code, specific project assumptions must be developed with the appropriate regulatory agencies, especially the cleanup criteria and the exposure scenario to be used. The C Reactor demonstration of RESRAD-BUILD modeled hypothetical future use of below grade portions of the reactor building complex. A residential exposure scenario with a cleanup criteria of 15 mrem/yr above background (Environmental Protection Agency [EPA] draft guidance) was used to coordinate decommissioning with adjacent ongoing remedial actions conducted in accordance with an existing Comprehensive Environmental Response, Compensation, and Liability Act of 1980 (CERCLA) Record of Decision. This paper gives a description of the technology and discusses its performance, applications, cost, regulatory and policy issues, and lessons learned.

NONE

1998-12-01T23:59:59.000Z

158

Estimating surface water risk at Oak Ridge National Laboratory: Effects of site conditions on modeling results  

SciTech Connect (OSTI)

Multiple source term and groundwater modeling runs were executed to estimate surface water {sup 90}Sr concentrations resulting from leaching of sludges in five 180,000 gallon Gunite{trademark} tanks at Oak Ridge National Laboratory. Four release scenarios were analyzed: (1) leaching of unstabilized sludge with immediate tank failure; (2) leaching of unstabilized sludge with delayed tank failure due to chemical degradation; (3) leaching of stabilized sludge with immediate tank failure; and (4) leaching of residual contamination out of the shells of empty tanks. Source terms and concentrations of {sup 90}Sr in the stream directly downgradient of the tanks were calculated under these release scenarios. The following conclusions were drawn from the results of the modeling: (1) small changes in soil path length resulted in relatively large changes in the modeled {sup 90}Sr concentrations in the stream; (2) there was a linear relationship between the amount of sludge remaining in a tank and the peak concentration of {sup 90}Sr in the stream; (3) there was a linear relationship between the cumulative {sup 90}Sr release from a tank and the peak concentration of {sup 90}Sr in the stream; (4) sludge stabilization resulted in significantly reduced peak concentrations of {sup 90}Sr in the stream; and (5) although radioactive decay of {sup 90}Sr during the period of tank degradation resulted in incrementally lower peak {sup 90}Sr concentrations in surface water than under the immediate tank failure scenarios these concentrations were equivalent under the two scenarios after about 90 years.

Curtis, A.H. III

1996-08-01T23:59:59.000Z

159

A model-based technique for real-time estimation of absolute fluorine concentration in a CF4/Ar plasma  

E-Print Network [OSTI]

A model-based technique for real-time estimation of absolute fluorine concentration in a CF4/Ar for quantitative interpretation of actinometric data to deduce bulk plasma fluorine concentration in a CF4/Ar, for application of real-time feedback control to plasma etching. Based upon a model of CF4 chemistry reaction

Terry, Fred L.

160

Estimation of the mean depth of boreal lakes for use in numerical weather prediction and climate modelling  

E-Print Network [OSTI]

in the numerical weather prediction (NWP) and climate models through parameterisation. For parameterisation, data. The effect of lakes should be parameterised in numerical weather prediction (NWP) and climate modellingEstimation of the mean depth of boreal lakes for use in numerical weather prediction and climate

Paris-Sud XI, Universit茅 de

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.


161

Joint inversion of seismic AVO and EM data for gas saturation estimation using a sampling-based stochastic model  

E-Print Network [OSTI]

hypothesis using a sampling-based stochastic model, based on a typical situation of gas explorationJoint inversion of seismic AVO and EM data for gas saturation estimation using a sampling- based stochastic model Jinsong Chen*, G. Michael Hoversten, and D. W. Vasco, Lawrence Berkeley National Laboratory

Chen, Jinsong

162

E-Print Network 3.0 - artery depiction rate Sample Search Results  

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

Simulator Summary: Modeling the Arterial System with Reference to an Anesthesia Simulator Ph.D. Thesis 1 by Mette... is to determine a physiologically based boundary condition such...

163

Relating geo-meteorological parameters to global solar radiation for Egypt by Iranna-Bapat's estimation models  

Science Journals Connector (OSTI)

Estimation of solar radiation is considered as the most important parameter for the design and development of various solar energy systems. But, the availability of the required data is very scarce and often not readily accessible. The foremost objective of the present study was to estimate the monthly average global solar radiation (GSR) at various locations for Egypt, by the generalised Iranna-Bapat's model. Iranna-Bapat's model is developed to estimate the value of global solar radiation at any location on earth surface. This model uses the most commonly measurable meteorological parameters such as ambient temperature, humidity, windspeed, moisture for a given location. A total of 11 locations spread across the country are used to validate this model. The computed values from Iranna-Bapat's model are compared with the measured values. Iranna-Bapat's model demonstrated acceptable results, and statistically displayed lower RMSE. Therefore this model could be a good estimator for predicting the global solar radiation at other locations for Egypt, where such data is not available.

Iranna Korachagaon; V.N. Bapat

2013-01-01T23:59:59.000Z

164

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

165

Complexity penalized hydraulic fracture localization and moment tensor estimation under limited model information  

E-Print Network [OSTI]

In this paper we present a novel technique for micro-seismic localization using a group sparse penalization that is robust to the focal mechanism of the source and requires only a velocity model of the stratigraphy rather than a full Green's function model of the earth's response. In this technique we construct a set of perfect delta detector responses, one for each detector in the array, to a seismic event at a given location and impose a group sparsity across the array. This scheme is independent of the moment tensor and exploits the time compactness of the incident seismic signal. Furthermore we present a method for improving the inversion of the moment tensor and Green's function when the geometry of seismic array is limited. In particular we demonstrate that both Tikhonov regularization and truncated SVD can improve the recovery of the moment tensor and be robust to noise. We evaluate our algorithm on synthetic data and present error bounds for both estimation of the moment tensor as well as localization...

Ely, Gregory

2013-01-01T23:59:59.000Z

166

Machine learning techniques for astrophysical modelling and photometric redshift estimation of quasars in optical sky surveys  

E-Print Network [OSTI]

Machine learning techniques are utilised in several areas of astrophysical research today. This dissertation addresses the application of ML techniques to two classes of problems in astrophysics, namely, the analysis of individual astronomical phenomena over time and the automated, simultaneous analysis of thousands of objects in large optical sky surveys. Specifically investigated are (1) techniques to approximate the precise orbits of the satellites of Jupiter and Saturn given Earth-based observations as well as (2) techniques to quickly estimate the distances of quasars observed in the Sloan Digital Sky Survey. Learning methods considered include genetic algorithms, particle swarm optimisation, artificial neural networks, and radial basis function networks. The first part of this dissertation demonstrates that GAs and PSO can both be efficiently used to model functions that are highly non-linear in several dimensions. It is subsequently demonstrated in the second part that ANNs and RBFNs can be used as effective predictors of spectroscopic redshift given accurate photometry, especially in combination with other learning-based approaches described in the literature. Careful application of these and other ML techniques to problems in astronomy and astrophysics will contribute to a better understanding of stellar evolution, binary star systems, cosmology, and the large-scale structure of the universe.

N. Daniel Kumar

2008-11-04T23:59:59.000Z

167

Stellar loci II. a model-free estimate of the binary fraction for field FGK stars  

E-Print Network [OSTI]

We propose a Stellar Locus OuTlier (SLOT) method to determine the binary fraction of main-sequence stars statistically. The method is sensitive to neither the period nor mass-ratio distributions of binaries, and able to provide model-free estimates of binary fraction for large numbers of stars of different populations in large survey volumes. We have applied the SLOT method to two samples of stars from the SDSS Stripe 82, constructed by combining the re-calibrated SDSS photometric data with respectively the spectroscopic information from the SDSS and LAMOST surveys. For the SDSS spectroscopic sample, we find an average binary fraction for field FGK stars of $41%\\pm2%$. The fractions decrease toward late spectral types, and are respectively $44%\\pm5%$, $43%\\pm3%$, $35%\\pm5%$, and $28%\\pm6%$ for stars of $g-i$ colors between 0.3 -- 0.6, 0.6 -- 0.9, 0.9 -- 1.2, and 1.2 - 1.6\\,mag. A modest metallicity dependence is also found. The fraction decreases with increasing metallicity. For stars of [Fe/H] between $-0.5$...

Yuan, Haibo; Xiang, Maosheng; Huang, Yang; Chen, Bingqiu

2014-01-01T23:59:59.000Z

168

Black Carbon-Inclusive Modeling Approaches for Estimating the Aquatic Fate of Dibenzo-p-dioxins and Dibenzofurans  

Science Journals Connector (OSTI)

Three versions of the model were developed in which sediment-water partitioning was described using (i) an amorphous organic carbon (AOC) partitioning sorption model without BC sorption, (ii) a combined AOC and BC sorption model based on the Freundlich isotherm, and (iii) a combined BC-AOC model based on the Langmuir isotherm. ... However, for estimation of KTOC or dissolved water concentrations, both versions of the combined AOC and BC sorption models provided greatly improved estimates compared to the AOC-only model. ... Multimedia fate models typically assume that amorphous organic carbon (AOC) is entirely responsible for the sorbing capacity of solids for hydrophobic compounds and that the solid-water distribution coefficient Kd (LW/kgdw) can be readily estimated from the mass fraction of organic carbon in the solid and the organic carbon normalized solid-water partition coefficient (KAOC) (1), where fAOC is the mass fraction of AOC in dried soil or sediment and KAOC (LW/kgAOC) is the organic carbon normalized solid杦ater partition coefficient. ...

James M. Armitage; Ian T. Cousins; N. Johan Persson; 謗jan Gustafsson; Gerard Cornelissen; Tuomo Saloranta; Dag Broman; Kristoffer N鎠

2008-04-12T23:59:59.000Z

169

Model comparisons for estimating carbon emissions from North American wildland fire  

E-Print Network [OSTI]

Hirsch (2001), Direct carbon emissions from Canadian forestin estimating carbon emissions from boreal forest fires, J.Law (2007), Pyrogenic carbon emission from a large wildfire

2011-01-01T23:59:59.000Z

170

Lithium-Ion battery State of Charge estimation with a Kalman Filter based on a electrochemical model  

E-Print Network [OSTI]

Lithium-Ion battery State of Charge estimation with a Kalman Filter based on a electrochemical state of charge (SOC). In this paper an averaged electrochemical Lithium-ion battery model suitable-Volmer current and the solid concentration at the interface with the electrolyte and (ii) the battery current

Stefanopoulou, Anna

171

3D Model Based Pose Estimation For Omnidirectional Stereovision Guillaume Caron, Eric Marchand and El Mustapha Mouaddib  

E-Print Network [OSTI]

3D Model Based Pose Estimation For Omnidirectional Stereovision Guillaume Caron, Eric Marchand, FRANCE; e-mail {guillaume.caron, mouaddib}@u-picardie.fr Eric Marchand is with INRIA, IRISA, Lagadic, 35000 Rennes, France; e-mail {Eric.Marchand}@irisa.fr Fig. 1. Our sensor: orthographic camera, parabolic

Paris-Sud XI, Universit茅 de

172

Groundwater recharge estimates using a soil-water-balance model for the Powder River and Williston structural basins  

E-Print Network [OSTI]

Groundwater recharge estimates using a soil-water-balance model for the Powder River and Williston for the lower Tertiary and Upper Cretaceous aquifer system in the Powder River and Williston structural basins in the Williston structural basin will require trillions of gallons of water from this aquifer system over the next

Torgersen, Christian

173

Biometrics 000, 124 DOI: 000 A Bayesian localised conditional autoregressive model for estimating the health  

E-Print Network [OSTI]

for estimating the health effects of air pollution Duncan Lee1, , Alastair Rushworth1 and Sujit K. Sahu2 . 1.Lee@glasgow.ac.uk Summary: Estimation of the long-term health effects of air pollution is a challenging task, especially, and are then illustrated with our motivating study on air pollution and respiratory ill health in Greater Glasgow, Scotland

Sahu, Sujit K

174

Visual comparison of software cost estimation models by regression error characteristic analysis  

Science Journals Connector (OSTI)

The well-balanced management of a software project is a critical task accomplished at the early stages of the development process. Due to this requirement, a wide variety of prediction methods has been introduced in order to identify the best strategy ... Keywords: Estimation by analogy, Regression analysis, Regression error characteristic curves, Software cost estimation

Nikolaos Mittas; Lefteris Angelis

2010-04-01T23:59:59.000Z

175

Estimating suspended sediment concentrations in areas with limited hydrological data using a mixed-effects model  

E-Print Network [OSTI]

Estimating suspended sediment concentrations in areas with limited hydrological data using a mixed of Geography, Simon Fraser University, Burnaby, British Columbia, Canada Abstract: Sediment rating curves are commonly used to estimate the suspended sediment load in rivers and streams under the assumption

Venditti, Jeremy G.

176

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

SciTech Connect (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

177

Modeling spatial patterns in soil arsenic to estimate natural baseline concentrations  

SciTech Connect (OSTI)

ABSTRACT Arsenic in soil is an important public health concern. Toxicity guidelines and models based on laboratory studies (i.e., U.S. EPA抯 Integrated Risk Information System) should consider natural soil As concentrations to avoid unnecessary remediation burdens on society. We used soil and stream sediment samples from the USGS National Geochemical Survey database to assess the spatial distribution of natural As in a 1.16E+5 km2 area. Samples were collected at 348 soil and 144 stream locations, providing approximately one sample for every 290 km2. Sample sites were selected to minimize the potential influence of anthropogenic inputs. Samples were processed using acid digestion of whole samples (concentrated HCl and ascorbic acid) and concentrations were measured using hydride-generation atomic absorption spectrometry. Soil As ranged from 2.0 to 45.6 mg kg-1. Geostatistical techniques were used to model and map the spatial variability of As. The mean and variance at unsampled locations were estimated using sequential Gaussian simulation. Five areas of elevated concentration (> the median of 10 mg kg-1) were identified and the relationships to geologic parent materials, glacial sedimentation patterns, and soil conditions interpreted. Our results showed As concentrations >10 mg kg-1 were common, and >20 mg kg-1 were not unusual for the central and west central portions of Ohio (USA). In contrast, concentrations <4 mg kg-1 were rare. Measured concentrations typically exceeded the soil As human generic screening levels of 0.39 mg/kg (1); the calculated value that corresponds to a cancer risk level of 1 in 1,000,000 for soil ingestion. Because the As content of Ohio soils is similar to many world soils, the USEPA generic soil screening level of 0.39 mg/kg is of little utility. A more useful and practical approach would be the uses of natural background levels. Regional soil As patterns based on geology and biogeochemistry and not political boundaries should be used for soil screening and other risk assessment determinations.

Venteris, Erik R.; Basta, Nicolas T.; Bigham, Jerry M.; Rea, Ron

2014-05-09T23:59:59.000Z

178

A Closed-Form Model for Valuing Real Options Using Managerial Cash-Flow Estimates- Draft Abstract for ROC2013 ?  

E-Print Network [OSTI]

In this work, we build on a previous real options approach that utilizes managerial cash-flow estimates to value early stage project investments. Through a simplifying assumption, where we assume that the managerial cash-flow estimates are normally distributed, we derive a closedform solution to the real option problem. The model is developed through the introduction of a market sector indicator, which is assumed to be correlated to a tradeable market index, which drives the project抯 sales estimates. Another indicator, assumed partially correlated to the sales indicator drives the gross margin percent estimates. In this way we can model a cash-flow process that is partially correlated to a traded market index. This provides the mechanism for valuing real options of the cash-flow in a financially consistent manner under the risk-neutral minimum martingale measure. The method requires minimal subjective input of model parameters and is very easy to implement. We also investigate the sensitivity of the normal distribution assumption by comparing the approach developed here to our previous approach.

Yuri Lawryshyn

179

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

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

180

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 ...

Seager, Sara

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

ForPeerReview Inverse modeling of GPS multipath for snow depth estimation  

E-Print Network [OSTI]

of Colorado, Boulder Boulder, CO 80309-0429 Corresponding Author: Felipe G. Nievinski fgnievinski and flood/drought monitoring on their own. It is desirable for such estimates to be provided

Larson, Kristine

182

Multi-model Estimates of Intercontinental Source-Receptor Relationships for Ozone Pollution  

SciTech Connect (OSTI)

Understanding the surface O{sub 3} response over a 'receptor' region to emission changes over a foreign 'source' region is key to evaluating the potential gains from an international approach to abate ozone (O{sub 3}) pollution. We apply an ensemble of 21 global and hemispheric chemical transport models to estimate the spatial average surface O{sub 3} response over East Asia (EA), Europe (EU), North America (NA) and South Asia (SA) to 20% decreases in anthropogenic emissions of the O{sub 3} precursors, NO{sub x}, NMVOC, and CO (individually and combined), from each of these regions. We find that the ensemble mean surface O{sub 3} concentrations in the base case (year 2001) simulation matches available observations throughout the year over EU but overestimates them by >10 ppb during summer and early fall over the eastern U.S. and Japan. The sum of the O{sub 3} responses to NO{sub x}, CO, and NMVOC decreases separately is approximately equal to that from a simultaneous reduction of all precursors. We define a continental-scale 'import sensitivity' as the ratio of the O{sub 3} response to the 20% reductions in foreign versus 'domestic' (i.e., over the source region itself) emissions. For example, the combined reduction of emissions from the 3 foreign regions produces an ensemble spatial mean decrease of 0.6 ppb over EU (0.4 ppb from NA), less than the 0.8 ppb from the reduction of EU emissions, leading to an import sensitivity ratio of 0.7. The ensemble mean surface O{sub 3} response to foreign emissions is largest in spring and late fall (0.7-0.9 ppb decrease in all regions from the combined precursor reductions in the 3 foreign regions), with import sensitivities ranging from 0.5 to 1.1 (responses to domestic emission reductions are 0.8-1.6 ppb). High O{sub 3} values are much more sensitive to domestic emissions than to foreign emissions, as indicated by lower import sensitivities of 0.2 to 0.3 during July in EA, EU, and NA when O{sub 3} levels are typically highest, and by the weaker relative response of annual incidences of daily maximum 8-hour average O{sub 3} above 60 ppb to emission reductions in a foreign region (<10-20% of that to domestic) as compared to the annual mean response (up to 50% of that to domestic). Applying the ensemble annual mean results to changes in anthropogenic emissions from 1996 to 2002, we estimate a Northern Hemispheric increase in background surface O{sub 3} of about 0.1 ppb yr{sup -1}, at the low end of the 0.1-0.5 ppb yr{sup -1} derived from observations. From an additional simulation in which global atmospheric methane was reduced, we infer that 20% reductions in anthropogenic methane emissions from a foreign source region would yield an O{sub 3} response in a receptor region that roughly equals that produced by combined 20% reductions of anthropogenic NO{sub x}, NMVOC and CO emissions from the foreign source region.

Fiore, A M; Dentener, F J; Wild, O; Cuvelier, C; Schultz, M G; Hess, P; Textor, C; Schulz, M; Doherty, R; Horowitz, L W; MacKenzie, I A; Sanderson, M G; Shindell, D T; Stevenson, D S; Szopa, S; Van Dingenen, R; Zeng, G; Atherton, C; Bergmann, D; Bey, I; Carmichael, G; Collins, W J; Duncan, B N; Faluvegi, G; Folberth, G; Gauss, M; Gong, S; Hauglustaine, D; Holloway, T; Isaksen, I A; Jacob, D J; Jonson, J E; Kaminski, J W; Keating, T J; Lupu, A; Marmer, E; Montanaro, V; Park, R; Pitari, G; Pringle, K J; Pyle, J A; Schroeder, S; Vivanco, M G; Wind, P; Wojcik, G; Wu, S; Zuber, A

2008-10-16T23:59:59.000Z

183

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

SciTech Connect (OSTI)

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

Murphy, Jr, C E; Lorenz, R

1983-01-01T23:59:59.000Z

184

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

E-Print Network [OSTI]

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

Richardson, Andrew D.

185

WAXS fat subtraction model to estimate differential linear scattering coefficients of fatless breast tissue: Phantom materials evaluation  

SciTech Connect (OSTI)

Purpose: Develop a method to subtract fat tissue contributions to wide-angle x-ray scatter (WAXS) signals of breast biopsies in order to estimate the differential linear scattering coefficients ?{sub s} of fatless tissue. Cancerous and fibroglandular tissue can then be compared independent of fat content. In this work phantom materials with known compositions were used to test the efficacy of the WAXS subtraction model. Methods: Each sample 5 mm in diameter and 5 mm thick was interrogated by a 50 kV 2.7 mm diameter beam for 3 min. A 25 mm{sup 2} by 1 mm thick CdTe detector allowed measurements of a portion of the ? = 6 scattered field. A scatter technique provided means to estimate the incident spectrum N{sub 0}(E) needed in the calculations of ?{sub s}[x(E, ?)] where x is the momentum transfer argument. Values of ?{sup 瘆{sub s} for composite phantoms consisting of three plastic layers were estimated and compared to the values obtained via the sum ?{sup 瘆{sub s}{sup ?}(x)=?{sub 1}?{sub s1}(x)+?{sub 2}?{sub s2}(x)+?{sub 3}?{sub s3}(x), where ?{sub i} is the fractional volume of the ith plastic component. Water, polystyrene, and a volume mixture of 0.6 water + 0.4 polystyrene labelled as fibphan were chosen to mimic cancer, fat, and fibroglandular tissue, respectively. A WAXS subtraction model was used to remove the polystyrene signal from tissue composite phantoms so that the ?{sub s} of water and fibphan could be estimated. Although the composite samples were layered, simulations were performed to test the models under nonlayered conditions. Results: The well known ?{sub s} signal of water was reproduced effectively between 0.5 < x < 1.6 nm{sup ?1}. The ?{sup 瘆{sub s} obtained for the heterogeneous samples agreed with ?{sup 瘆{sub s}{sup ?}. Polystyrene signals were subtracted successfully from composite phantoms. The simulations validated the usefulness of the WAXS models for nonlayered biopsies. Conclusions: The methodology to measure ?{sub s} of homogeneous samples was quantitatively accurate. Simple WAXS models predicted the probabilities for specific x-ray scattering to occur from heterogeneous biopsies. The fat subtraction model can allow ?{sub s} signals of breast cancer and fibroglandular tissue to be compared without the effects of fat provided there is an independent measurement of the fat volume fraction ?{sub f}. Future work will consist of devising a quantitative x-ray digital imaging method to estimate ?{sub f} in ex vivo breast samples.

Tang, Robert Y., E-mail: rx-tang@laurentian.ca [Biomolecular Sciences Program, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6 (Canada); Laamanen, Curtis, E-mail: cx-laamanen@laurentian.ca; McDonald, Nancy, E-mail: mcdnancye@gmail.com [Department of Physics, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6 (Canada)] [Department of Physics, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6 (Canada); LeClair, Robert J., E-mail: rleclair@laurentian.ca [Department of Physics, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada and Biomolecular Sciences Program, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6 (Canada)

2014-05-15T23:59:59.000Z

186

Evaluation of a Modeling System for S-Phase Estimation in Breast Cancer by Flow Cytometry  

Science Journals Connector (OSTI)

...Protocol B. injection of ethyl carbamate midway through BrdUrd infusion; Protocol C...population treated with ethyl car bamate midway between the 2 cycles (Protocol B) estimates...the beginning of the first cycle (Ai; midway between the first and second cycles...

Lynn G. Dressler; Larry Seamer; Marilyn A. Owens; Gary M. Clark; William L. McGuire

1987-10-15T23:59:59.000Z

187

A Model for Human Interruptability: Experimental Evaluation and Automatic Estimation from Wearable Sensors  

E-Print Network [OSTI]

Sensors Nicky Kern, Stavros Antifakos, Bernt Schiele Perceptual Computing and Computer Vision ETH Zurich sensors. It is scalable for a large number of sensors, contexts, and situations and allows for online the data from a microphone, 12 body-worn 3D acceler- ation sensors, and a location estimation. We have

188

Posterior predictive modeling using multi-scale stochastic inverse parameter estimates.  

SciTech Connect (OSTI)

Multi-scale binary permeability field estimation from static and dynamic data is completed using Markov Chain Monte Carlo (MCMC) sampling. The binary permeability field is defined as high permeability inclusions within a lower permeability matrix. Static data are obtained as measurements of permeability with support consistent to the coarse scale discretization. Dynamic data are advective travel times along streamlines calculated through a fine-scale field and averaged for each observation point at the coarse scale. Parameters estimated at the coarse scale (30 x 20 grid) are the spatially varying proportion of the high permeability phase and the inclusion length and aspect ratio of the high permeability inclusions. From the non-parametric, posterior distributions estimated for these parameters, a recently developed sub-grid algorithm is employed to create an ensemble of realizations representing the fine-scale (3000 x 2000), binary permeability field. Each fine-scale ensemble member is instantiated by convolution of an uncorrelated multiGaussian random field with a Gaussian kernel defined by the estimated inclusion length and aspect ratio. Since the multiGaussian random field is itself a realization of a stochastic process, the procedure for generating fine-scale binary permeability field realizations is also stochastic. Two different methods are hypothesized to perform posterior predictive tests. Different mechanisms for combining multi Gaussian random fields with kernels defined from the MCMC sampling are examined. Posterior predictive accuracy of the estimated parameters is assessed against a simulated ground truth for predictions at both the coarse scale (effective permeabilities) and at the fine scale (advective travel time distributions). The two techniques for conducting posterior predictive tests are compared by their ability to recover the static and dynamic data. The skill of the inference and the method for generating fine-scale binary permeability fields are evaluated through flow calculations on the resulting fields using fine-scale realizations and comparing them against results obtained with the ground truth fine-scale and coarse-scale permeability fields.

Waanders, Bart Van Bloemen; Marzouk, Youssef M. (Massachusetts Institute of Technology, Cambridge, MA); Ray, Jaideep (Sandia National Laboratories, Livermore, CA); McKenna, Sean Andrew

2010-12-01T23:59:59.000Z

189

Estimation of vocal?tract area function from lip impulse response based on lossy vocal?tract digital filter model  

Science Journals Connector (OSTI)

A method for estimating vocal?tract area function from lip impulse response based on lossy vocal?tract digital filter model is provided. Previous methods of lip impulse response [M. M. Sondhi and J. R. Resnick 73 9851002 (1983)] determines the area function from impulse response measured at lips by using the incident signal excited outside the oral cavity. This method is sensitive to the noise of measured impulse response. An alternative method [M. Honda and T. Mochida Proc. 1st ETRW?SPM 167170 (1996)] is advantageous for accurate estimation under noisy acoustic condition based on the vocal?tract digital filter model that optimizes the M sections of areas by using the impulse response longer than M samples. In this method however the vocal?tract model is based on the transmission line that treats the effect of loss in simplified form. The new method proposed in this study applies a mixture model of the lossless distributed circuit and the lumped circuit accounting for effects such as viscous loss heat conduction loss and loss due to wall vibration. The results on acoustic measurements have shown that the new method has better performance over the old method using optimization scheme based on simplified transmission line model. [Work supported by CREST JST.

2001-01-01T23:59:59.000Z

190

JOINT ESTIMATION OF CARDIAC KINEMATICS AND MATERIAL PARAMETERS FROM NOISY IMAGING DATA AND UNCERTAIN MECHANICAL MODEL  

E-Print Network [OSTI]

AND UNCERTAIN MECHANICAL MODEL Huafeng Liu, Edward W.B. Lo, and Pengcheng Shi Biomedical Research Laboratory

Shi, Pengcheng

191

Estimates of Radioxenon Released from Southern Hemisphere Medical isotope Production Facilities Using Measured Air Concentrations and Atmospheric Transport Modeling  

SciTech Connect (OSTI)

Abstract The International Monitoring System (IMS) of the Comprehensive-Nuclear-Test-Ban-Treaty monitors the atmosphere for radioactive xenon leaking from underground nuclear explosions. Emissions from medical isotope production represent a challenging background signal when determining whether measured radioxenon in the atmosphere is associated with a nuclear explosion prohibited by the treaty. The Australian Nuclear Science and Technology Organisation (ANSTO) operates a reactor and medical isotope production facility in Lucas Heights, Australia. This study uses two years of release data from the ANSTO medical isotope production facility and Xe-133 data from three IMS sampling locations to estimate the annual releases of Xe-133 from medical isotope production facilities in Argentina, South Africa, and Indonesia. Atmospheric dilution factors derived from a global atmospheric transport model were used in an optimization scheme to estimate annual release values by facility. The annual releases of about 6.81014 Bq from the ANSTO medical isotope production facility are in good agreement with the sampled concentrations at these three IMS sampling locations. Annual release estimates for the facility in South Africa vary from 1.21016 to 2.51016 Bq and estimates for the facility in Indonesia vary from 6.11013 to 3.61014 Bq. Although some releases from the facility in Argentina may reach these IMS sampling locations, the solution to the objective function is insensitive to the magnitude of those releases.

Eslinger, Paul W.; Friese, Judah I.; Lowrey, Justin D.; McIntyre, Justin I.; Miley, Harry S.; Schrom, Brian T.

2014-04-06T23:59:59.000Z

192

High and Low Temperature Series Estimates for the Critical Temperature of the 3D Ising Model  

E-Print Network [OSTI]

of the 3D Ising Model Zaher Salman and Joan Adler Department-dimensional Ising model on the simple cubic lattice. Our analys* *is of Butera and Comi's new 32 term temperature of the three-dimensional (3d) Ising model on the si* *mple cubic lattice has been exhaustively

Adler, Joan

193

Special Section --Marine Controlled-Source Electromagnetic Methods A Bayesian model for gas saturation estimation  

E-Print Network [OSTI]

Special Section -- Marine Controlled-Source Electromagnetic Methods A Bayesian model for gas Vasco1 , Yoram Rubin2 , and Zhangshuan Hou2 ABSTRACT We develop a Bayesian model to jointly invert reservoir model. We consid- er the porosity and fluid saturation of each layer in the reservoir, the bulk

Chen, Jinsong

194

Atmospheric Environment 39 (2005) 13731382 A hierarchical Bayesian model to estimate and forecast ozone  

E-Print Network [OSTI]

reserved. Keywords: Statistical model; Space颅time models; Air pollution; Ozone; Meteorology 1. Introduction describing the spatial颅temporal behavior of ambient air pollutants such as ozone (O3) and particulate matter. Statistical space颅time models are useful for illuminating relationships between different air pollutants

Irwin, Mark E.

195

Artificial Neural Network Estimator Design for the Inferential Model Predictive Control of an Industrial Distillation Column  

Science Journals Connector (OSTI)

The ANN architecture is a multilayer perceptron (MLP), which is a typical feed-forward (layered) neural network.2 A collection of neurons connected to each other forms the artificial neural network. ... It is shown that the how artificial neural networks can model the column, and demonstrated that the network model is as good or better than a simplified first principles model when used for model predictive control. ... A dynamic, nonlinear, multi-input multi-output application using the recurrent dynamic neuron network (RDNN) model is presented for a two-by-two distn. ...

Alm?la Bahar; Canan 謟gen; Kemal Leblebicio?lu; U?ur Hal?c?

2004-08-12T23:59:59.000Z

196

Estimate of nuclear fusion rates arising from a molecular-dynamics model of PdDx  

Science Journals Connector (OSTI)

We describe an estimate of the fusion rate of deuterium in palladium metal based on molecular-dynamics simulation. Quantum effects on the motion of the deuterium are treated semiclassically and the effects of electronic screening of the interactions are studied by varying a screening parameter in the potentials. We find very low fusion rates of the order of 10-150 s-1 per deuteron, consistent with bounds suggested by Leggett and Baym.

J. W. Halley and J. L. Vall閟

1990-03-15T23:59:59.000Z

197

Quantitative Modeling and Estimation in Systems Biology using Fluorescent Reporter Systems  

E-Print Network [OSTI]

) Fluorescence intensity profile obtained for IL-6-STAT3 system ............. 45 9. Estimated STAT3 profiles from Tikhonov regularization and truncated SVD ........ 47 10. Illustration for choosing the excitation wavelength for a mixture containing CFP and GFP... (data obtained from an online database (Biosciences, 2000) for CFP and GFP variants that have maximum emission and excitation wavelengths reasonably close to pAmCyan and pCM18 protein plasmids, respectively...

Bansal, Loveleena

2013-12-10T23:59:59.000Z

198

Development of a mass balance model for estimating PCB export from the lower Fox River to Green Bay  

SciTech Connect (OSTI)

A mass balance approach was used to model contaminant cycling in the lower Fox River from the DePere Dam to Green Bay. The objectives of this research were (1) to estimate present contaminant export from the Fox River to Green Bay, and (2) to quantify contaminant transport and fate pathways in the lower river for the study period. Specifically, a model describing the transport, fate, and export of chlorides, total suspended solids, total PCBs, and six PCB congeners for the lower Fox River was developed. Field data collected as part of the U.S. Environmental Protection Agency's Green Bay Mass Balance Study were used to calibrate the model. Model results suggest that the transport of inplace pollutants significantly contributed to the cumulative export of total PCBs over this period. Estimated total PCB transport in the Fox River during 1989 increased 60% between the dam and river mouth due to the resuspension of lower river sediments. Total suspended solids and PCB predictions are most sensitive to particle transport parameters, particularly the settling and resuspension velocities. The significant components of the total PCB mass balance are import (loading over the DePere Dam), settling, resuspension, and export to Green Bay. Volatilization, porewater transport, and point source input were not significant to the mass balance. Present point source discharges to the river are not significant total PCB sources, collectively contributing less than 6 kg of PCB to the river during the mass balance period.

Velleux, M.; Endicott, D.

1994-01-01T23:59:59.000Z

199

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

E-Print Network [OSTI]

the cost of renovation, ease of use and speed of the model are some of the other factors that practitioners look for in a cost model (Yokum and Armstrong. 1995). This research aims to identify the merits and demerits of the cost models based on not only... Researchers believe that accuracy is the main criterion for selecting the best cost model; however, a survey done by Yokum and Armstrong in 1995 shows that ease of interpretation, ease of use, ease in getting data, credibility, and speed top the list...

Faquih, Yaquta Fakhruddin

2010-10-12T23:59:59.000Z

200

Estimating Probability Distributions from Complex Models with Bifurcations: The Case of Ocean Circulation Collapse  

E-Print Network [OSTI]

Studying the uncertainty in computationally expensive models has required the development of specialized methods, including alternative sampling techniques and response surface approaches. However, existing techniques for ...

Webster, Mort David.

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

Topics in Statistical Modeling and Estimation of Extremes and Their Dependence.  

E-Print Network [OSTI]

??The main goal of this thesis is to use concepts and tools from extreme value theory (EVT) to model, make inference and develop prediction tools (more)

Hamidieh, Kamal

2008-01-01T23:59:59.000Z

202

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

E-Print Network [OSTI]

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

Liu, Yingxue

2009-05-15T23:59:59.000Z

203

Statistical Nonparametric Model for Natural Salt Estimation James R. Prairie1  

E-Print Network [OSTI]

and the Colorado River basin in the western United States are afflicted with salinity problems. In the Colorado ; Terrance J. Fulp3 ; and Edith A. Zagona, M.ASCE4 Abstract: Many rivers in the Western U.S. suffer from high the nonparametric model. We apply this model to data from a stream gauge at Glenwood Springs, Colo., on the Colorado

Balaji, Rajagopalan

204

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

Science Journals Connector (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

205

Convolution Particle Filter for Parameter Estimation in General State-Space Models  

E-Print Network [OSTI]

study. Index Terms Bayes procedures, Hidden Markov models, Marine vehicle detection and tracking, Monte Campillo and Vivien Rossi Abstract The state-space modeling of partially observed dynamical systems to the parameter components or to the deterministic component of the dynamical system. However, this approach

Rossi, Vivien

206

Estimating the Contribution of Sea Ice Response to Climate Sensitivity in a Climate Model  

Science Journals Connector (OSTI)

The response of sea ice to climate change affects Earth抯 radiative properties in ways that contribute to yet more climate change. Here, a configuration of the Community Earth System Model, version 1.0.4 (CESM 1.0.4), with a slab ocean model and a ...

Ken Caldeira; Ivana Cvijanovic

2014-11-01T23:59:59.000Z

207

Efficient parameter estimation for spatio-temporal models of pattern formation: case study of Drosophila melanogaster  

Science Journals Connector (OSTI)

......future work, we plan to infer GRN...developmental regulatory networks...simulation of genetic regulatory systems: a literature review. J. Comput...data. In body plan formation, the...model of the regulatory network for early......

Yves Fomekong-Nanfack; Jaap A. Kaandorp; Joke Blom

2007-12-15T23:59:59.000Z

208

Estimating dependence of the turbulent length scales on model resolution based on a priori analysis  

Science Journals Connector (OSTI)

The Reynolds Averaged Navier-Stokes Simulation (RANS) and the Large-Eddy Simulation (LES) have been widely used to parameterize unresolved turbulent motions for the atmospheric boundary layer. However, there is an intermediate model resolution, ...

Yuji KITAMURA

209

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

E-Print Network [OSTI]

observations and model predictions. The spatially resolving solution shows maximum instantaneous GPP of 1030 approach. Most DO inverse methods are based on the follow- ing observation. During daylight hours, oxygen

Vallino, Joseph J.

210

Threshold estimation from the linear dose-response model: Method and radiation data  

Science Journals Connector (OSTI)

The linear dose-response model is considered a conservative, nonthreshold relationship. This is based on a confusion between the sufficient condition (that is, zero slope at zero dose) and the necessary condit...

David J. Schaeffer; Konanur G. Janardan; Harold W. Kerster

1981-01-01T23:59:59.000Z

211

A MAP-based Online Estimation Approach to Ensemble Speaker and Speaking Environment Modeling  

Science Journals Connector (OSTI)

An ensemble speaker and speaking environment modeling (ESSEM) approach was recently developed. This ESSEM process consists of offline and online phases. The offline phase establishes an environment structure using speech data collected under a wide range ...

Yu Tsao; Shigeki Matsuda; Chiori Hori; Hideki Kashioka; Chin-Hui Lee

2014-02-01T23:59:59.000Z

212

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

E-Print Network [OSTI]

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

Reyes, Jennifer McGee

2012-02-14T23:59:59.000Z

213

The use of comparative {sup 137}Cs body burden estimates from environmental data/models and whole body counting to evaluate diet models for the ingestion pathway  

SciTech Connect (OSTI)

Rongelap and Utirik Atolls were contaminated on 1 March 1954, by a U.S. nuclear test at Bikini Atoll code named BRAVO. The people at both atolls were removed from their atolls in the first few days after the detonation and were returned to their atolls at different times. Detailed studies have been carried out over the years by Lawrence Livermore National Laboratory (LLNL) to determine the radiological conditions at the atolls and estimate the doses to the populations. The contribution of each exposure pathway and radionuclide have been evaluated. All dose assessments show that the major potential contribution to the estimated dose is {sup 137}Cs uptake via the terrestrial food chain. Brookhaven National Laboratory (BNL) has carried out an extensive whole body counting program at both atolls over several years to directly measure the {sup 137}Cs body burden. Here we compare the estimates of the body burdens from the LLNL environmental method with body burdens measured by the BNL whole body counting method. The combination of the results from both methods is used to evaluate proposed diet models to establish more realistic dose assessments. Very good agreement is achieved between the two methods with a diet model that includes both local and imported foods. Other diet models greatly overestimate the body burdens (i.e., dose) observed by whole body counting. The upper 95% confidence limit of interindividual variability around the population mean value based on the environmental method is similar to that calculated from direct measurement by whole body counting. Moreover, the uncertainty in the population mean value based on the environmental method is in very good agreement with the whole body counting data. This provides additional confidence in extrapolating the estimated doses calculated by the environmental method to other islands and atolls. 46 refs., 8 figs., 5 tabs.

Robison, W.L. [Lawrence Livermore National Lab., CA (United States); Sun, C. [Brookhaven National Lab., Upton, NY (United States)

1997-07-01T23:59:59.000Z

214

LBNL-XXXXX | Logue et al., Evaluation of an Incremental Ventilation Energy Model for Estimating Impacts of Air Sealing and Mechanical Ventilation  

E-Print Network [OSTI]

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 for Estimating Impacts of Air Sealing and Mechanical Ventilation 2 Disclaimer This document was prepared

215

The artificial neural network model to estimate the photovoltaic modul efficiency for all regions of the Turkey  

Science Journals Connector (OSTI)

Abstract Artificial neural network (ANN) is a useful tool that using estimates behavior of the most of engineering applications. In the present study, ANN model has been used to estimate the temperature, efficiency and power of the Photovoltaic module according to outlet air temperature and solar radiation. An experimental system consisted photovoltaic module, heating and cooling sub systems, proportional integral derivative (PID) control unit was designed and built. Tests were realized at the outdoors for the constant ambient air temperatures of photovoltaic module. To preserve ambient air temperature at the determined constant values as 10, 20, 30 and 40牥C, cooling and heating subsystems which connected PID control unit were used in the test apparatus. Ambient air temperature, solar radiation, back surface of the photovoltaic module temperature was measured in the experiments. Obtained data were used to estimate the photovoltaic module temperature, efficiency and power with using ANN approach for all 7 region of the Turkey. The study dealing with this paper not only will beneficial for the limited region but also in all region of Turkey which will be thought established of photovoltaic panels by the manufacturer, researchers and etc.

?lhan Ceylan; Engin Gedik; Okan Erkaymaz; Ali Etem G黵el

2014-01-01T23:59:59.000Z

216

EFFECT OF THE MODEL CORRELATING STRUCTURAL DAMAGE TO REPAIRING COST ON LIFE CYCLE ECONOMIC LOSS ESTIMATION OF BUILDING STRUCTURES IN HIGH SEISMIC ZONE  

E-Print Network [OSTI]

correlating the damage to repairing cost on the life cycle loss using a simple model. Buildings are modeledEFFECT OF THE MODEL CORRELATING STRUCTURAL DAMAGE TO REPAIRING COST ON LIFE CYCLE ECONOMIC LOSS ESTIMATION OF BUILDING STRUCTURES IN HIGH SEISMIC ZONE Noriyuki TAKAHASHI, Hitoshi SHIOHARA, and Shunsuke

Shiohara, Hitoshi

217

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

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

218

TransCom N[subscript 2]O model inter-comparison Part 2: Atmospheric inversion estimates of N[subscript 2]O emissions  

E-Print Network [OSTI]

This study examines N[subscript 2]O emission estimates from five different atmospheric inversion frameworks based on chemistry transport models (CTMs). The five frameworks differ in the choice of CTM, meteorological data, ...

Thompson, R. L.

219

Uncertainty propagation in a model for the estimation of the1 ground level concentration of dioxin/furans emitted from a waste2  

E-Print Network [OSTI]

Uncertainty propagation in a model for the estimation of the1 ground level concentration of dioxin concentration of dioxin/furans emitted from a waste gasification plant. Under the17 condition of insufficient

Paris-Sud XI, Universit茅 de

220

ACCURATE ESTIMATION OF TARGET AMOUNTS USING EXPANDED BASS MODEL FOR DEMAND?SIDE MANAGEMENT  

Science Journals Connector (OSTI)

The electricity demand in Korea has rapidly increased along with a steady economic growth since 1970s. Therefore Korea has positively propelled not only SSM (Supply?Side Management) but also DSM (Demand?Side Management) activities to reduce investment cost of generating units and to save supply costs of electricity through the enhancement of whole national energy utilization efficiency. However study for rebate which have influence on success or failure on DSM program is not sufficient. This paper executed to modeling mathematically expanded Bass model considering rebates which have influence on penetration amounts for DSM program. To reflect rebate effect more preciously the pricing function using in expanded Bass model directly reflects response of potential participants for rebate level.

Hyun?Woong Kim; Jong?Jin Park; Jin?O. Kim

2008-01-01T23:59:59.000Z

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.


221

Simple model to estimate the contribution of atmospheric CO2 to the Earth抯 greenhouse effect  

Science Journals Connector (OSTI)

We show how the CO2 contribution to the Earth抯 greenhouse effect can be estimated from relatively simple physical considerations and readily available spectroscopic data. In particular we present a calculation of the 揷limate sensitivity (that is the increase in temperature caused by a doubling of the concentration of CO2) in the absence of feedbacks. Our treatment highlights the important role played by the frequency dependence of the CO2absorptionspectrum. For pedagogical purposes we provide two simple models to visualize different ways in which the atmosphere might return infrared radiation back to the Earth. The more physically realistic model based on the Schwarzschild radiative transfer equations uses as input an approximate form of the atmosphere抯 temperature profile and thus includes implicitly the effect of heat transfer mechanisms other than radiation.

Derrek J. Wilson; Julio Gea-Banacloche

2012-01-01T23:59:59.000Z

222

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

SciTech Connect (OSTI)

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

223

GIS DRASTIC model for groundwater vulnerability estimation of Astaneh-Kouchesfahan Plain, Northern Iran  

Science Journals Connector (OSTI)

In this study, the groundwater vulnerability to pollution was evaluated for Astaneh-Kouchesfahan Plain, Northern Iran using GIS DRASTIC model. Based upon available data, six thematic maps were generated and intrinsic vulnerability map was developed based upon calculations from various mapped layers and DRASTIC index. The results show that low, moderate, high and very high groundwater vulnerability risk zones cover around 12, 52, 28 and 8% of the area, respectively. Finally, in order to verify the model, the categorised DRASTIC map was compared with a categorized TDS map and the results shows that the areas including enhanced values of TDS correspond with those with higher DRASTIC ratings.

Masoud Saatsaz; Wan Nor Azmin Sulaiman; Saeid Eslamian; Kourosh Mohammadi

2011-01-01T23:59:59.000Z

224

Robustness of a Neural Network Model for Power Peak Factor Estimation in Protection Systems  

SciTech Connect (OSTI)

This work presents results of robustness verification of artificial neural network correlations that improve the real time prediction of the power peak factor for reactor protection systems. The input variables considered in the correlation are those available in the reactor protection systems, namely, the axial power differences obtained from measured ex-core detectors, and the position of control rods. The correlations, based on radial basis function (RBF) and multilayer perceptron (MLP) neural networks, estimate the power peak factor, without faulty signals, with average errors between 0.13%, 0.19% and 0.15%, and maximum relative error of 2.35%. The robustness verification was performed for three different neural network correlations. The results show that they are robust against signal degradation, producing results with faulty signals with a maximum error of 6.90%. The average error associated to faulty signals for the MLP network is about half of that of the RBF network, and the maximum error is about 1% smaller. These results demonstrate that MLP neural network correlation is more robust than the RBF neural network correlation. The results also show that the input variables present redundant information. The axial power difference signals compensate the faulty signal for the position of a given control rod, and improves the results by about 10%. The results show that the errors in the power peak factor estimation by these neural network correlations, even in faulty conditions, are smaller than the current PWR schemes which may have uncertainties as high as 8%. Considering the maximum relative error of 2.35%, these neural network correlations would allow decreasing the power peak factor safety margin by about 5%. Such a reduction could be used for operating the reactor with a higher power level or with more flexibility. The neural network correlation has to meet requirements of high integrity software that performs safety grade actions. It is shown that the correlation is a very simple algorithm that can be easily codified in software. Due to its simplicity, it facilitates the necessary process of validation and verification. (authors)

Souza, Rose Mary G.P.; Moreira, Joao M.L. [Centro Tecnologico da Marinha em Sao Paulo - CTMSP, avenida Prof. Lineu Prestes, 2468 - Butanta, Sao Paulo (Brazil)

2006-07-01T23:59:59.000Z

225

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

E-Print Network [OSTI]

for their effect on output, energy demand, and, as a result, emissions. The model responses to these price changes are assumed to indicate likely market reactions to the extent that key parameters (price elasticities between functions. Policies that change energy prices, such as a tax on GHG emissions, can be simulated

226

Estimating home energy decision parameters for a hybrid energyYeconomy policy model  

E-Print Network [OSTI]

-constrained world. Long-run simulations were created using CIMS, a hybrid energy-economy model supply submodel was built to simulate economies of scale in infrastructure. Capital costs, technology performance, infrastructure, fuel prices, and other conditions were varied in the simulations. All scenarios

227

Linear model-based estimation of blood pressure and cardiac output for Normal and Paranoid cases  

Science Journals Connector (OSTI)

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

Mohamed Abdelkader Aboamer, Ahmad Taher Azar, Khaled Wahba, Abdallah S. Mohamed

2014-11-01T23:59:59.000Z

228

Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving Horizon Estimation  

E-Print Network [OSTI]

tethered to the ground at a high velocity across the wind direction. Power can be generated by a, the first option is considered. Because it involves a much lighter structure, a major advantage of powerControl of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving

229

Estimating Methods  

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

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

1997-03-28T23:59:59.000Z

230

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

SciTech Connect (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

231

Exhaust emissions estimation during transient turbocharged diesel engine operation using a two-zone combustion model  

Science Journals Connector (OSTI)

A comprehensive, two-zone, transient, diesel combustion model is used to study the performance and exhaust emissions of a turbocharged diesel engine during load transients. Analytical modelling of fuel spray and in-cylinder processes is included, while detailed equations concerning all engine sub-systems describe the phenomena, which diversify transient operation from the steady-state. Demonstrative diagrams are provided for the time histories of nitric oxide (NO) and soot emissions during transient operation, and the main factors affecting their formation are highlighted. Moreover, in-cylinder development of NO concentration and soot density during individual transient cycles is provided and compared with their respective steady-state counterparts. This comparison points out the differences between steady-state and transient operation, as regards exhaust emissions development. The study is expanded with the investigation of load change magnitude and cylinder wall insulation effects on transient emissions.

C.D. Rakopoulos; A.M. Dimaratos; E.G. Giakoumis; D.C. Rakopoulos

2009-01-01T23:59:59.000Z

232

Utilizing an encroachment probability benefit-cost model to estimate accident reduction factors  

E-Print Network [OSTI]

. . ACCIDENT DATA MODELS. . . . . . . . . . . . . . ROADSIDE SAFETY ANALYSIS PROGRAM . . 6 9 11 13 CHAPTER III STUDY DESIGN . 20 HAZARDS AND COUNTERMEASURES . . TYPICAL SITE CONDITIONS . . FIXED OBJECT HAZARD . BRIDGE RAIL ENDS . LUMINAIRE SUPPORTS... Rail and Guardrail Extruder. 34 12 Plan View of Bridge Rail and Crash Cushion. 13 Luminaire Typical Section. 14 Typical Embankment Section (Base Condition). 15 Typical Embankment Section (Sideslope=3:1). . 16 Typical Embankment Section (Sideslope...

Hayes, Carolyn A

1997-01-01T23:59:59.000Z

233

A Simple Model for Estimating Water Balance and Salinity of Reservoirs and Outflow  

E-Print Network [OSTI]

of floodplains in the presence of a high water table. This was accompanied by the spread of salt-tolerant riparian species, especially saltcedar (Tamarisk sp.). This scenario is repeated in many river systems in the Southwest. There are considerable... on flow and salinity of the stream and the floodplains. The first part deals with water and salt balance in reservoirs. The primary purpose of the model is to predict outflow salinity from the reservoir storage and inflow information in advance...

Miyamoto, S; Yuan, F; Anand, Shilpa

2010-08-23T23:59:59.000Z

234

Object-oriented process modeling for material-at-risk estimation.  

SciTech Connect (OSTI)

Nuclear analytical chemistry/materials characterization operations at Los Alamos support many programs related to national security. These operations work with a wide range of material masses (microgram to tens of grams) and several forms (metal, oxide, and liquid). We have used detailed flowsheets for the chemistry and characterization functions to construct a process model of the facility operations. The model, constructed with the commercially available package ExtendTMt,r acks material amounts and forms through the process of sample receiving through data return. The model calculates equipment utilization, throughput, and turnaroundtime, as well as the material-at-risk and source term as a function of time for facility safety analyses. We see that the source-term is highly dependent on the material holding time, as expected; thus, proper material management policies are essential to operating a facility within regulatory guidelines regarding material-at-risk. In addition, we see that segregation of operations based on the material used can be beneficial to the overall operations.

Kornreich, D. E. (Drew E.); Farman, Richard F.

2002-01-01T23:59:59.000Z

235

A label field fusion model with a variation of information estimator for image segmentation  

Science Journals Connector (OSTI)

Abstract This paper proposes a new and reliable segmentation approach based on a fusion framework for combining multiple region-based segmentation maps (with any number of regions) to provide a final improved (i.e., accurate and consistent) segmentation result. The core of this new combination model is based on a consensus (cost) function derived from the recent information Theory based variation of information criterion, proposed by Meila, and allowing to quantify the amount of information that is lost or gained in changing from one clustering to another. In this case, the resulting consensus energy-based segmentation fusion model can be efficiently optimized by exploiting an iterative steepest local energy descent strategy combined with a connectivity constraint. This new framework of segmentation combination, relying on the fusion of inaccurate, quickly and roughly calculated, spatial clustering results, emerges as an appealing alternative to the use of complex segmentation models existing nowadays. Experiments on the Berkeley Segmentation Dataset show that the proposed fusion framework compares favorably to previous techniques in terms of reliability scores.

Max Mignotte

2014-01-01T23:59:59.000Z

236

A comparative study of analytical models to estimate the LNAPL mound formation  

E-Print Network [OSTI]

fringe) (3. 33) Solving the above equation for D(r) gives D(r) = 6, ? ln( ? ) AQ r rrK, r, r;&r&r, (3. 34) where p~ pw po (3. 35) D(r) h, thickness of oil lens at radial distance r (L) thickness of capillary fringe (L) leakage amount (L... OF SCIENCE December 1994 Major Subject: Civil Engineering A COMPARATIVE STUDY OF ANAI, YTICAI, MODELS TO ES'IIMATE THE LNAPL MOUND FORMATION A Thesis ASHFAO AHMED Submitted to Texas AM1 University in partial fulfillment of the requirements for t, hc...

Ahmed, Ashfaq

1994-01-01T23:59:59.000Z

237

Estimation and Analysis of Energy Utilities Consumption in Batch Chemical Industry through Thermal Losses Modeling  

Science Journals Connector (OSTI)

A hot water distribution system is mainly used for heating the infrastructure (i.e., keeping the building and pipes at a desired temperature) and is fed by steam condensates. ... As a result, the three-parameters model, whose functional form already integrates this feature, was preferred to calibrate valves distributing liquid utilities both in the multiproduct and the monoproduct plant. ... However, an additional assumption for heat losses is necessary or a detailed and complicated analytical calculation for all components of the heating/cooling utility system. ...

Claude R閞at; Stavros Papadokonstantakis; Konrad Hungerb黨ler

2012-06-29T23:59:59.000Z

238

Validation of Climate Model Ice Cloud Properties  

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

models are used for understanding the past, present, and future climate. To be able to project future climate it is important that models provide a realistic depiction of the...

239

A Model for the Estimation of Residual Stresses in Soft Tissues  

E-Print Network [OSTI]

, and then an idealized model for the IVUS interrogation is constructed by superimposing small amplitude time har- monic in nitesimal vibrations on large deformations via an asymptotic construction iv of its solution. We then use a semi-inverse approach to study...) = Div (J0)F T 0 + DivF0 = (J0)DivF T 0 + F T 0 r (J0) + Div F0 : (2.44) We deduce the following from (2.41): DivF0 = 000e1 + 00 0X2e2 + 00 0X3e3 (2.45) DivF T0 = 1 00 0 00 0 00 00 0 00 e1 (2...

Joshi, Sunnie

2012-10-19T23:59:59.000Z

240

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

SciTech Connect (OSTI)

A California Greenhouse Gas Inventory Spreadsheet (GHGIS) model was developed to explore the impact of combinations of state policies on state greenhouse gas (GHG) and regional criteria pollutant emissions. The model included representations of all GHG- emitting sectors of the California economy (including those outside the energy sector, such as high global warming potential gases, waste treatment, agriculture and forestry) in varying degrees of detail, and was carefully calibrated using available data and projections from multiple state agencies and other sources. Starting from basic drivers such as population, numbers of households, gross state product, numbers of vehicles, etc., the model calculated energy demands by type (various types of liquid and gaseous hydrocarbon fuels, electricity and hydrogen), and finally calculated emissions of GHGs and three criteria pollutants: reactive organic gases (ROG), nitrogen oxides (NOx), and fine (2.5 ?m) particulate matter (PM2.5). Calculations were generally statewide, but in some sectors, criteria pollutants were also calculated for two regional air basins: the South Coast Air Basin (SCAB) and the San Joaquin Valley (SJV). Three scenarios were developed that attempt to model: (1) all committed policies, (2) additional, uncommitted policy targets and (3) potential technology and market futures. Each scenario received extensive input from state energy planning agencies, in particular the California Air Resources Board. Results indicate that all three scenarios are able to meet the 2020 statewide GHG targets, and by 2030, statewide GHG emissions range from between 208 and 396 MtCO2/yr. However, none of the scenarios are able to meet the 2050 GHG target of 85 MtCO2/yr, with emissions ranging from 188 to 444 MtCO2/yr, so additional policies will need to be developed for California to meet this stringent future target. A full sensitivity study of major scenario assumptions was also performed. In terms of criteria pollutants, targets were less well-defined, but while all three scenarios were able to make significant reductions in ROG, NOx and PM2.5 both statewide and in the two regional air basins, they may nonetheless fall short of what will be required by future federal standards. Specifically, in Scenario 1, regional NOx emissions are approximately three times the estimated targets for both 2023 and 2032, and in Scenarios 2 and 3, NOx emissions are approximately twice the estimated targets. Further work is required in this area, including detailed regional air quality modeling, in order to determine likely pathways for attaining these stringent targets.

Greenblatt, Jeffery B.

2013-10-10T23:59:59.000Z

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.


241

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

SciTech Connect (OSTI)

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

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

2007-07-30T23:59:59.000Z

242

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

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

243

The family of object-related depictives in English and Spanish: towards a usage-based constructionist analysis  

Science Journals Connector (OSTI)

Drawing on naturally-occurring data extracted from the British National Corpus (BNC) and the Corpus de Referencia del Espa駉l Actual (CREA) in conjunction with data elicited from native speakers by means of questionnaires, this paper provides a bottom-up, usage-based analysis of instances of depictive secondary predicates involving mainly verba cogitandi (e.g. 揷onsiderar/揷onsider, 揺ncontrar/揻ind, etc.) in English and Spanish. Building on Gonz醠vez-Garc韆 [Gonz醠vez-Garc韆, F., 2006a. Passives without Actives: Evidence from Verbless Complement Constructions in Spanish. Constructions SV1-5/2006; Gonz醠vez-Garc韆, F., 2003. Reconstructing object complements in English and Spanish. In: Mart韓ez V醶quez, M. (Eds.), Gram醫ica de Construcciones (Contrastes entre el Ingl閟 y el Espa駉l). Grupo de Gram醫ica Contrastiva, Huelva, pp. 1758], these configurations are argued to be constructions in their own right, viz. the subjective杢ransitive construction. The main focus of this paper is on the investigation of the most salient semantico-pragmatic hallmarks of four lower-level configurations of the subjective杢ransitive construction in the light of coercion [Michaelis, L.A., 2003a. Word meaning, sentence meaning, and syntactic meaning. In: Cuyckens, H., Dirven, R., Taylor, J., (Eds.), Cognitive Approaches to Lexical Semantics. Mouton de Gruyter, Berlin and New York, pp. 163209; Michaelis, L.A., 2003b. Headless constructions and coercion by construction. In: Francis, E., Michaelis, L.A., (Eds.), Mismatch: Form-Function Incongruity and the Architecture of Grammar. CSLI, Stanford, pp. 259310; Michaelis, L.A., 2004a. Type shifting in construction grammar: an integrated approach to aspectual coercion. Cognitive Linguistics 15 (1), 167; Michaelis, L.A., 2004b. Why we believe that syntax is construction-based. Unpublished plenary delivered at the Third International Conference on Construction Grammar(s), Universit de Provence, Marseille, July 9, 2004.] via (i) obligatory reflexive pronouns in the object slot, (ii) a progressive verb form with an inherently stative situation/state of affairs, (iii) an imperative verb with a prima facie non-controllable situation/state of affairs, and (iv) an imperfect tense with a counterfactual interpretation. It is shown that while the first three types of coercion are observable in both English and Spanish, type (iv) points to an interesting asymmetry between these two languages, thus lending further credence to the assumption that argument structure is construction-specific as well as language-specific. Moreover, it is demonstrated that these configurations can be aptly regarded as a family of constructions and that a non-monotonic, default inheritance system of the type invoked in the cognitively-influenced strand of Construction Grammar [Goldberg, A.E., 1995. Constructions. A Construction Approach to Argument Structure. University of Chicago Press, Chicago and London; Goldberg, A.E., 2006. Constructions at Work: The Nature of Generalization in Language. Oxford University Press, New York] can capture the commonalities and the idiosyncratic particulars of these conventional extensions in the construct-i-con.

Francisco Gonz醠vez-Garc韆

2009-01-01T23:59:59.000Z

244

Primate polonium metabolic models and their use in estimation of systemic radiation doses from bioassay data. Final report  

SciTech Connect (OSTI)

A Polonium metabolic model was derived and incorporated into a Fortran algorithm which estimates the systemic radiation dose from {sup 210}Po when applied to occupational urine bioassay data. The significance of the doses estimated are examined by defining the degree of uncertainty attached to them through comprehensive statistical testing procedures. Many parameters necessary for dosimetry calculations (such as organ partition coefficients and excretion fractions), were evaluated from metabolic studies of {sup 210}Po in non-human primates. Two tamarins and six baboons were injected intravenously with {sup 210}Po citrate. Excreta and blood samples were collected. Five of the baboons were sacrificed at times ranging from 1 day to 3 months post exposure. Complete necropsies were performed and all excreta and the majority of all skeletal and tissue samples were analyzed radiochemically for their {sup 210}Po content. The {sup 210}Po excretion rate in the baboon was more rapid than in the tamarin. The biological half-time of {sup 210}Po excretion in the baboon was approximately 15 days while in the tamarin, the {sup 210}Po excretion rate was in close agreement with the 50 day biological half-time predicted by ICRP 30. Excretion fractions of {sup 210}Po in the non-human primates were found to be markedly different from data reported elsewhere in other species, including man. A thorough review of the Po urinalysis procedure showed that significant recovery losses resulted when metabolized {sup 210}Po was deposited out of raw urine. Polonium-210 was found throughout the soft tissues of the baboon but not with the partition coefficients for liver, kidneys, and spleen that are predicted by the ICRP 30 metabolic model. A fractional distribution of 0.29 for liver, 0.07 for kidneys, and 0.006 for spleen was determined. Retention times for {sup 210}Po in tissues are described by single exponential functions with biological half-times ranging from 15 to 50 days.

Cohen, N. [New York Univ. Medical Center, Tuxedo, NY (United States). Dept. of Environmental Medicine

1989-03-15T23:59:59.000Z

245

Estimation of exhaust gas aerodynamic force on the variable geometry turbocharger actuator: 1D flow model approach  

Science Journals Connector (OSTI)

Abstract This paper provides a reliable tool for simulating the effects of exhaust gas flow through the variable turbine geometry section of a variable geometry turbocharger (VGT), on flow control mechanism. The main objective is to estimate the resistive aerodynamic force exerted by the flow upon the variable geometry vanes and the controlling actuator, in order to improve the control of vane angles. To achieve this, a 1D model of the exhaust flow is developed using Navier朣tokes equations. As the flow characteristics depend upon the volute geometry, impeller blade force and the existing viscous friction, the related source terms (losses) are also included in the model. In order to guarantee stability, an implicit numerical solver has been developed for the resolution of the Navier朣tokes problem. The resulting simulation tool has been validated through comparison with experimentally obtained values of turbine inlet pressure and the aerodynamic force as measured at the actuator shaft. The simulator shows good compliance with experimental results.

Fayez Shakil Ahmed; Salah Laghrouche; Adeel Mehmood; Mohammed El Bagdouri

2014-01-01T23:59:59.000Z

246

Journal of Machine Learning Research 13 (2012) 307-361 Submitted 12/10; Revised 11/11; Published 2/12 Noise-Contrastive Estimation of Unnormalized Statistical Models,  

E-Print Network [OSTI]

of estimating, from observed data, a probabilistic model that is parameterized by a finite number of parameters is to perform nonlinear logistic regression to discriminate between the observed data and some artificially estimation methods for unnormalized models. As an application to real data, we estimate novel two

Hyv盲rinen, Aapo

247

Estimated United States Transportation Energy Use 2005  

SciTech Connect (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

248

Estimation of CO2 effluxes from suburban forest floor and grass using a process-based model  

Science Journals Connector (OSTI)

Abstract Carbon dioxide is an important greenhouse gas, and its atmospheric concentration has been predicted to increase in the future. The objective of this study was to quantify the soil CO2 efflux in a suburban area including mixed deciduous forest and grass by numerically modeling the CO2 transport through the soil profile. Three stations per land-cover (forest and grass) were selected at the Cub Hill site (MD, USA), where the US Forest Service operates an urban flux tower. Six VAISALA CO2 sensors (Vaisala Inc., Finland) per monitoring station were horizontally installed at 6 different depths (soil surface, 0.02, 0.05, 0.10, 0.20, and 0.30爉 from the soil surface) in the mid of May, 2011. Temperature and volumetric soil moisture measurements were taken using thermistors and EC-5 sensors (Decagon devices, Pullman, WA, USA) that were installed at the same depths as the CO2 sensors except for the soil surface. These data were recorded every 10爉in. To evaluate the numerical model (SOILCO2), CO2 efflux using the standard chamber method was measured once a week. The CO2 effluxes from the standard chamber method ranged from 3.32犠10?9 to 7.28犠10?8爉3爉?2爏?1 and 6.79犠10?9 to 1.45犠10?7爉3爉?2爏?1 for forest and grass, respectively. The CO2 effluxes from 揵are soil at the grass site varied with the range of 3.63犠10?8 to 9.37犠10?8爉3爉?2爏?1. The 損ulse effect (a rapid increase of CO2 concentrations right after rainfall events) in grass, where changes in soil moisture were larger than in the forest, was more apparent than in the forest. Diurnal patterns similar to those of temperature were observed from CO2 profiles in soils. The SOILCO2 model estimated the soil CO2 effluxes with coefficients of correlation of 0.64 and 0.76 at forest and grass, respectively, and root mean square error (RMSE) of 1.58犠10?8 and 2.06犠10?8爉3爉?2爏?1 for forest and grass, respectively. This study suggests that the SOILCO2 model can provide a better understanding of the contribution of the soil ecosystem to the carbon cycle in suburban environments including mixed deciduous forest and grass.

J.A. Chun; K. Szlavecz; M. Bernard; D. Ferrer; J. Hom; N. Saliendra

2014-01-01T23:59:59.000Z

249

Source Term Estimation of Radioxenon Released from the Fukushima Dai-ichi Nuclear Reactors Using Measured Air Concentrations and Atmospheric Transport Modeling  

SciTech Connect (OSTI)

Systems designed to monitor airborne radionuclides released from underground nuclear explosions detected radioactive fallout from the Fukushima Daiichi nuclear accident in March 2011. Atmospheric transport modeling (ATM) of plumes of noble gases and particulates were performed soon after the accident to determine plausible detection locations of any radioactive releases to the atmosphere. We combine sampling data from multiple International Modeling System (IMS) locations in a new way to estimate the magnitude and time sequence of the releases. Dilution factors from the modeled plume at five different detection locations were combined with 57 atmospheric concentration measurements of 133-Xe taken from March 18 to March 23 to estimate the source term. This approach estimates that 59% of the 1.241019 Bq of 133-Xe present in the reactors at the time of the earthquake was released to the atmosphere over a three day period. Source term estimates from combinations of detection sites have lower spread than estimates based on measurements at single detection sites. Sensitivity cases based on data from four or more detection locations bound the source term between 35% and 255% of available xenon inventory.

Eslinger, Paul W. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Biegalski, S. [Univ. of Texas at Austin, TX (United States); Bowyer, Ted W. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Cooper, Matthew W. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Haas, Derek A. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Hayes, James C. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Hoffman, Ian [Radiation Protection Bureau, Health Canada, Ottawa, ON (Canada); Korpach, E. [Radiation Protection Bureau, Health Canada, Ottawa, ON (Canada); Yi, Jing [Radiation Protection Bureau, Health Canada, Ottawa, ON (Canada); Miley, Harry S. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Rishel, Jeremy P. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Ungar, R. Kurt [Radiation Protection Bureau, Health Canada, Ottawa, ON (Canada); White, Brian [Radiation Protection Bureau, Health Canada, Ottawa, ON (Canada); Woods, Vincent T. [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

2014-01-01T23:59:59.000Z

250

ESTIMATION OF THE NEUTRINO FLUX AND RESULTING CONSTRAINTS ON HADRONIC EMISSION MODELS FOR Cyg X-3 USING AGILE DATA  

SciTech Connect (OSTI)

In this work, we give an estimate of the neutrino flux that can be expected from the microquasar Cyg X-3. We calculate the muon neutrino flux expected here on Earth as well as the corresponding number of neutrino events in the IceCube telescope based on the so-called hypersoft X-ray state of Cyg X-3. If the average emission from Cyg X-3 over a period of 5 yr were as high as during the used X-ray state, a total of 0.8 events should be observed by the full IceCube telescope. We also show that this conclusion holds by a factor of a few when we consider the other measured X-ray states. Using the correlation of AGILE data on the flaring episodes in 2009 June and July to the hypersoft X-ray state, we calculate that the upper limits on the neutrino flux given by IceCube are starting to constrain the hadronic models, which have been introduced to interpret the high-energy emission detected by AGILE.

Baerwald, P. [Institut fuer Theoretische Physik und Astrophysik, Universitaet Wuerzburg, Am Hubland, D-97074 Wuerzburg (Germany); Guetta, D. [Osservatorio Astronomico di Roma, v. Frascati 33, I-00040 Monte Porzio Catone (Italy)

2013-08-20T23:59:59.000Z

251

A mesoscopic approach to modeling and simulation of logistics processes  

Science Journals Connector (OSTI)

Simulation models are important for planing, implementing and operating logistics systems since they can depict their dynamic system behavior. In the field of logistics, discrete-event models are widely used. Their creation and computation is often very ...

Tobias Reggelin; Juri Tolujew

2011-12-01T23:59:59.000Z

252

Connectionist Model to Estimate Performance of Steam-Assisted Gravity Drainage in Fractured and Unfractured Petroleum Reservoirs: Enhanced Oil Recovery Implications  

Science Journals Connector (OSTI)

Connectionist Model to Estimate Performance of Steam-Assisted Gravity Drainage in Fractured and Unfractured Petroleum Reservoirs: Enhanced Oil Recovery Implications ... The oil gravity ranges of the oils of current EOR methods have been compiled and the results are presented graphically. ...

Sohrab Zendehboudi; Amin Reza Rajabzadeh; Alireza Bahadori; Ioannis Chatzis; Maurice B. Dusseault; Ali Elkamel; Ali Lohi; Michael Fowler

2013-12-02T23:59:59.000Z

253

A Stochastic Unit-Commitment Model to Estimate the Costs of Changing Power Plant Operation under High Amounts of Intermittent Wind Power  

E-Print Network [OSTI]

) a market for district heating and process heat. Time series for the wind power production rely on timeA Stochastic Unit-Commitment Model to Estimate the Costs of Changing Power Plant Operation under High Amounts of Intermittent Wind Power Integration Meibom, P.1 , Brand, H.2 , Barth, R.2 and Weber, C

254

DEWEK Wind Energy Conference 2012 Category: 4. Simulation models BACKWARD EXTRAPOLATION OF SHORT-TIME MEASUREMENT DATA FOR A REMAINING SERVICE LIFE ESTIMATION OF WIND  

E-Print Network [OSTI]

DEWEK Wind Energy Conference 2012 Category: 4. Simulation models 1 BACKWARD EXTRAPOLATION OF SHORT-TIME MEASUREMENT DATA FOR A REMAINING SERVICE LIFE ESTIMATION OF WIND TURBINES Dipl.-Ing. Ren茅 Kamieth, Prof. Dr, Germany, Tel.: +49-(0)30-314-23603, Fax: +49-(0)30-314-26131 Summary Wind turbines built in the last

Berlin,Technische Universit盲t

255

A SOLAR WARMING MODEL (SWarm) TO ESTIMATE DIURNAL CHANGES IN NEAR-SURFACE SNOWPACK TEMPERATURES FOR BACK-COUNTRY AVALANCHE FORECASTING  

E-Print Network [OSTI]

, Canada, V0J 2N0; email: lbakermans@yahoo.ca instability in Canada, snow temperature and solar (short waveA SOLAR WARMING MODEL (SWarm) TO ESTIMATE DIURNAL CHANGES IN NEAR-SURFACE SNOWPACK TEMPERATURES Engineering, 2 Department of Geoscience, University of Calgary, Calgary, Canada ABSTRACT: Diurnal temperature

Jamieson, Bruce

256

Development and validation of a semi-empirical model for the estimation of particulate matter in diesel engines  

Science Journals Connector (OSTI)

Abstract A semi-empirical correlation for the estimation of PM (particulate matter) emissions in diesel engines, as a function of significant engine operating variables, has been developed and validated on a GM (General Motors) Euro 5 diesel engine. The experimental data used in the present study have been acquired at the dynamic test bench of ICEAL-PT (Internal Combustion Engine Advanced Laboratory at the Politecnico di Torino), in the frame of a research activity with GMPT-E (General Motors PowerTrain-Europe) for the calibration of a Euro 5 prototype 2.0 liter diesel engine equipped with a twin-stage turbine and a piezo-driven Common Rail injection system. The experimental data were acquired for six key-points representative of the engine working conditions over a NEDC (New European Driving Cycle). The experimental tests have been carried out according to the Design of Experiment approach and for each point several variation lists of the main engine variables have been considered. As a first step, the main engine variables which are expected to be related to the formation and oxidation of PM have been identified. An exponential mathematical model has then been introduced and a detailed statistical analysis has been carried out for each key-point in order to identify the most robust combination of the input variables among all the possible ones. It was verified that PM emissions are correlated to a great extent to the value of the chemical heat release at the end of the injection of the main pulse. This quantity is in fact related to the mass of burned gases which is generated by the oxidation of the pilot pulses that precede the main injection. Such a mass can have a large impact on the local oxygen concentration and temperature of the charge in which the fuel of the main pulse is injected, with a consequent effect on PM formation. Additional quantities have also been considered in the investigation: the relative air-to-fuel ratio ?, the intake charge oxygen concentration, the accumulated fuel mass, the equivalence ratio of the spray at the main pulse start of combustion and some combustion metrics related to the heat release rate. At the end of the statistical analysis, the most influencing parameters have been selected and a semi-empirical model to predict the in-cylinder formed PM mass has been developed. The model has hence been tested under both steady-state and transient conditions.

Roberto Finesso; Daniela Misul; Ezio Spessa

2014-01-01T23:59:59.000Z

257

Model-Based Estimation of Off-Highway Road Geometry using Single-Axis LADAR and Inertial Sensing  

E-Print Network [OSTI]

Submitted, 2006 International Conference on Robotics and Automation Abstract-- This paper applies some for a variety of automotive applications in intelligent transporta- tion systems, because it enables prediction estimation schemes for road estimation to "off-highway" environments, where roads are typically not painted

Murray, Richard M.

258

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

SciTech Connect (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 (<0.1%). There was little dependence of LAR on radiotherapy technique for these organs and for colon and stomach. LAR values for the lungs for the three SIB techniques were two to three times those from WBRT and APBI. Uncertainties in the LAR models outweigh any differences in lung LAR between the SIB methods. Constraints in the planning of the SIB methods ensured that contralateral breast doses and LAR were comparable to WBRT, despite their added complexity. The smaller irradiated volume of the ABPI plan contributed to a halving of LAR for contralateral breast compared with the other plan types. Daily image guided radiotherapy (IGRT) for a left breast protocol using kilovoltage CBCT contributed <10% to LAR for the majority of organs, and did not exceed 22% of total organ dose. Conclusions: Phantom measurements and calculations of LAR from the BEIR VII models predict that complex breast radiotherapy techniques do not increase the theoretical risk of second 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

259

Operator-adapted finite element wavelets : theory and applications to a posteriori error estimation and adaptive computational modeling  

E-Print Network [OSTI]

We propose a simple and unified approach for a posteriori error estimation and adaptive mesh refinement in finite element analysis using multiresolution signal processing principles. Given a sequence of nested discretizations ...

Sudarshan, Raghunathan, 1978-

2005-01-01T23:59:59.000Z

260

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

E-Print Network [OSTI]

of-state fuel consumption was estimated for marine OGV. Themarine OGV electricity use in 2020 (IEPR: Kavalec, 2013) 3. FuelsIn-state jet fuel b. Aviation gasoline 3. Marine ocean-going

Greenblatt, Jeffery B.

2014-01-01T23:59:59.000Z

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.


261

Cost Estimator  

Broader source: Energy.gov [DOE]

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

262

Estimation of two-parameter multilevel item response models with predictor variables: simulation and substantiation for an urban school district  

E-Print Network [OSTI]

IRT models. However, models such as 2-PL MLIRT models have not been studied yet. This dissertation consists of two studies, a simulation and a substantiation for an urban school district dataset. The simulation study tested the performance...

Natesan, Prathiba

2009-05-15T23:59:59.000Z

263

Individual heterogeneity in life history processes: Estimation and applications of demographic models to stage-structured arthropod populations  

E-Print Network [OSTI]

was used for an SEIR model of Ebola transmission, with 42011), an SEIR model for Ebola transmission (McKinley et

Scranton, Katherine

2012-01-01T23:59:59.000Z

264

Modeling Mud-Filtrate Invasion Effects on Resistivity Logs to Estimate Permeability of Vuggy and Fractured Carbonate Formations  

E-Print Network [OSTI]

to diagnose and estimate secondary porosity and absolute permeability of fractured and vuggy carbonate in the Barinas-Apure Basin in southwest Venezuela. The latter reservoir behaves as a triple-porosity-connected) and fractured porosity, all embedded in a tight matrix. Rock-core data and wellbore resistivity images indicate

Torres-Verd铆n, Carlos

265

Modeling lidar waveforms with time-dependent stochastic radiative transfer theory for remote estimations of forest structure  

E-Print Network [OSTI]

with field data from two conifer forest stands (southern old jack pine and southern old black spruce estimations of forest structure Svetlana Y. Kotchenova,1 Nikolay V. Shabanov,1 Yuri Knyazikhin,1 Anthony B (lidars) have demonstrated a potential for accurate remote sensing of forest biomass and structure

Goldberg, Bennett

266

Establish the multi-source data fusion model of the shape of blast furnace burden surface based on co-universal kriging estimation method  

Science Journals Connector (OSTI)

This paper presents a multi-source data fusion model method which could improve the blast furnace (BF) burden surface model accuracy. First, the three sections of straight line are used to describe the cross section of BF burden surface, and apply the motion law of the furnace burden to constrain the specific parameters of the three sections of straight line. Secondly, a multi-source data fusion method based on co-universal kriging estimation method is proposed. The temperature and height data are combined to build the unbiased estimation for the burden surface shape. Finally, an example of surface shape model using our proposed method in a 2500 m BF of a steel plant is discussed. The application shows that, contrasted with the traditional model, the model accuracy has arisen by 8%, and the resolution of surface shape has arisen by 0.32. The novel method can provide necessary guidance for energy saving and emission reduction in operation of the BF.

Liangliang Miao; Xianzhong Chen; Shilong Zhao; Zhenlong Bai

2014-01-01T23:59:59.000Z

267

Estimating consumption rates of juvenile sandbar sharks (Carcharhinus plumbeus) in Chesapeake Bay, Virginia, using a bioenergetics model  

E-Print Network [OSTI]

error analy- sis of fish bioenergetics models. Can J. Fish.importance of activity in bioenergetics models applied toA. C. Cockcroft. 1990. Bioenergetics of fishes in a high-

Dowd, William Wesley; Brill, R W; Bushnell, P G; Musick, J A

2006-01-01T23:59:59.000Z

268

Development and comparison of computational models for estimation of absorbed organ radiation dose in rainbow trout (Oncorhynchus mykiss) from uptake of iodine-131  

Science Journals Connector (OSTI)

Abstract This study develops and compares different, increasingly detailed anatomical phantoms for rainbow trout (Oncorhynchus mykiss) for the purpose of estimating organ absorbed radiation dose and dose rates from 131I uptake in multiple organs. The models considered are: a simplistic geometry considering a single organ, a more specific geometry employing additional organs with anatomically relevant size and location, and voxel reconstruction of internal anatomy obtained from CT imaging (referred to as CSUTROUT). Dose Conversion Factors (DCFs) for whole body as well as selected organs of O.爉ykiss were computed using Monte Carlo modeling, and combined with estimated activity concentrations, to approximate dose rates and ultimately determine cumulative radiation dose (?Gy) to selected organs after several half-lives of 131I. The different computational models provided similar results, especially for source organs (less than 30% difference between estimated doses), and whole body \\{DCFs\\} for each model (?3犠10?3?Gy燿?1爌er燘q爇g?1) were comparable to \\{DCFs\\} listed in ICRP 108 for 131I. The main benefit provided by the computational models developed here is the ability to accurately determine organ dose. A conservative mass-ratio approach may provide reasonable results for sufficiently large organs, but is only applicable to individual source organs. Although CSUTROUT is the more anatomically realistic phantom, it required much more resource dedication to develop and is less flexible than the stylized phantom for similar results. There may be instances where a detailed phantom such as CSUTROUT is appropriate, but generally the stylized phantom appears to be the best choice for an ideal balance between accuracy and resource requirements.

N.E. Martinez; T.E. Johnson; K. Capello; J.E. Pinder III

2014-01-01T23:59:59.000Z

269

Physiological observations validate finite element models for estimating subject-specific electric field distributions induced by transcranial magnetic stimulation of the human motor cortex  

Science Journals Connector (OSTI)

Abstract Recent evidence indicates subject-specific gyral folding patterns and white matter anisotropy uniquely shape electric fields generated by TMS. Current methods for predicting the brain regions influenced by TMS involve projecting the TMS coil position or center of gravity onto realistic head models derived from structural and functional imaging data. Similarly, spherical models have been used to estimate electric field distributions generated by TMS pulses delivered from a particular coil location and position. In the present paper we inspect differences between electric field computations estimated using the finite element method (FEM) and projection-based approaches described above. We then more specifically examined an approach for estimating cortical excitation volumes based on individualistic FEM simulations of electric fields. We evaluated this approach by performing neurophysiological recordings during MR-navigated motormapping experiments. We recorded motor evoked potentials (MEPs) in response to single pulse TMS using two different coil orientations (45 and 90 to midline) at 25 different locations (5犠5 grid, 1燾m spacing) centered on the hotspot of the right first dorsal interosseous (FDI) muscle in left motor cortex. We observed that motor excitability maps varied within and between subjects as a function of TMS coil position and orientation. For each coil position and orientation tested, simulations of the TMS-induced electric field were computed using individualistic FEM models and compared to MEP amplitudes obtained during our motormapping experiments. We found FEM simulations of electric field strength, which take into account subject-specific gyral geometry and tissue conductivity anisotropy, significantly correlated with physiologically observed MEP amplitudes (rmax=0.91, p=1.8犠10-5 rmean=0.81, p=0.01). These observations validate the implementation of individualistic FEM models to account for variations in gyral folding patterns and tissue conductivity anisotropy, which should help improve the targeting accuracy of TMS in the mapping or modulation of human brain circuits.

Alexander Opitz; Wynn Legon; Abby Rowlands; Warren K. Bickel; Walter Paulus; William J. Tyler

2013-01-01T23:59:59.000Z

270

Estimating Fuel Cycle Externalities: Analytical Methods and Issues, Report 2  

SciTech Connect (OSTI)

The activities that produce electric power typically range from extracting and transporting a fuel, to its conversion into electric power, and finally to the disposition of residual by-products. This chain of activities is called a fuel cycle. A fuel cycle has emissions and other effects that result in unintended consequences. When these consequences affect third parties (i.e., those other than the producers and consumers of the fuel-cycle activity) in a way that is not reflected in the price of electricity, they are termed ''hidden'' social costs or externalities. They are the economic value of environmental, health and any other impacts, that the price of electricity does not reflect. How do you estimate the externalities of fuel cycles? Our previous report describes a methodological framework for doing so--called the damage function approach. This approach consists of five steps: (1) characterize the most important fuel cycle activities and their discharges, where importance is based on the expected magnitude of their externalities, (2) estimate the changes in pollutant concentrations or other effects of those activities, by modeling the dispersion and transformation of each pollutant, (3) calculate the impacts on ecosystems, human health, and any other resources of value (such as man-made structures), (4) translate the estimates of impacts into economic terms to estimate damages and benefits, and (5) assess the extent to which these damages and benefits are externalities, not reflected in the price of electricity. Each step requires a different set of equations, models and analysis. Analysts generally believe this to be the best approach for estimating externalities, but it has hardly been used! The reason is that it requires considerable analysis and calculation, and to this point in time, the necessary equations and models have not been assembled. Equally important, the process of identifying and estimating externalities leads to a number of complex issues that also have not been fully addressed. This document contains two types of papers that seek to fill part of this void. Some of the papers describe analytical methods that can be applied to one of the five steps of the damage function approach. The other papers discuss some of the complex issues that arise in trying to estimate externalities. This report, the second in a series of eight reports, is part of a joint study by the U.S. Department of Energy (DOE) and the Commission of the European Communities (EC)* on the externalities of fuel cycles. Most of the papers in this report were originally written as working papers during the initial phases of this study. The papers provide descriptions of the (non-radiological) atmospheric dispersion modeling that the study uses; reviews much of the relevant literature on ecological and health effects, and on the economic valuation of those impacts; contains several papers on some of the more complex and contentious issues in estimating externalities; and describes a method for depicting the quality of scientific information that a study uses. The analytical methods and issues that this report discusses generally pertain to more than one of the fuel cycles, though not necessarily to all of them. The report is divided into six parts, each one focusing on a different subject area.

Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.

1994-07-01T23:59:59.000Z

271

A Lagrangian stochastic model for estimating the high order statistics of a fluctuating plume in the neutral boundary layer  

Science Journals Connector (OSTI)

We use a Lagrangian stochastic micromixing model to predict the concentration fluctuations of a continuous release in a neutral boundary layer. We present the computational algorithm that implements the interaction by exchange with the conditional mean model and we compare the numerical solutions with the experimental values in order to evaluate the reliability of the model. The influence of the source size on the concentration probability density function in the near and far-field is discussed and some shortcomings of the model are pointed out.

Massimo Marro; Chiara Nironi; Pietro Salizzoni; Lionel Soulhac

2014-01-01T23:59:59.000Z

272

Wind Speed Estimation and Parametrization of Wake Models for Downregulated Offshore Wind Farms within the scope of PossPOW Project  

Science Journals Connector (OSTI)

With increasing installed capacity, wind farms are requested to downregulate more frequently, especially in the offshore environment. Determination and verification of possible (or available) power of downregulated offshore wind farms are the aims of the PossPOW project (see PossPOW.dtu.dk). Two main challenges encountered in the project so far are the estimation of wind speed and the recreation of the flow inside the downregulated wind farm as if it is operating ideally. The rotor effective wind speed was estimated using power, pitch angle and rotational speed as inputs combined with a generic Cp model. The results have been compared with Horns Rev-I dataset and NREL 5MW simulations under both downregulation and normal operation states. For the real-time flow recreation, the GCLarsen single wake model was re-calibrated using a 1-s dataset from Horns Rev and tested for the downregulated period. The re-calibrated model has to be further parametrized to include dynamic effects such as wind direction variability and meandering also considering different averaging time scales before implemented in full scale wind farms.

Tuhfe G鲧men Bozkurt; Gregor Giebel; Niels Kj鴏stad Poulsen; Mahmood Mirzaei

2014-01-01T23:59:59.000Z

273

Development and use of the GREET model to estimate fuel-cycle energy use and emissions of various transportation technologies and fuels  

SciTech Connect (OSTI)

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

274

Comparison of mean retention time (MRT) of markers in the reticulorumen (RR) estimated by modelling their faecal  

E-Print Network [OSTI]

-EDTA) were injected via the rumen cannula through the reticulo-omasal orifice prior to duodenal sampling (9 by modelling and algebraic methods were close. Markers (digesta phases) had an effect on accuracy of MRTRR

Paris-Sud XI, Universit茅 de

275

Estimates of Twenty-First-Century Flood Risk in the Pacific Northwest Based on Regional Climate Model Simulations  

Science Journals Connector (OSTI)

Results from a regional climate model simulation show substantial increases in future flood risk (204069) in many Pacific Northwest river basins in the early fall. Two primary causes are identified: 1) more extreme and earlier storms and 2) ...

Eric P. Salath Jr.; Alan F. Hamlet; Clifford F. Mass; Se-Yeun Lee; Matt Stumbaugh; Richard Steed

2014-10-01T23:59:59.000Z

276

Robust UAV Coordination for Target Tracking using Output-Feedback Model Predictive Control with Moving Horizon Estimation  

E-Print Network [OSTI]

Robust UAV Coordination for Target Tracking using Output-Feedback Model Predictive Control consider the control of two UAVs tracking an evasive moving ground vehicle. The UAVs are small fixed to maintain visibility. The control inputs to the UAVs are computed based on noisy measurements of the UAVs

Hespanha, Jo茫o Pedro

277

Estimating of the Dry Unit Weight of Compacted Soils Using General Linear Model and Multi-layer Perceptron Neural Networks  

Science Journals Connector (OSTI)

Compaction of earth fill is a very important stage of construction projects. Degree of compaction is defined by relative compaction. The relative compaction of a compacted earth fill is calculated by dividing the dry unit weight obtained from in situ ... Keywords: Dry unit weight, Earth fill, General linear model, Multi-layer perceptron neural networks, Relative compaction, Standard Proctor test

Ersin Kolay, Tugce Baser

2014-05-01T23:59:59.000Z

278

Cost Estimating, Analysis, and Standardization  

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

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

1984-11-02T23:59:59.000Z

279

The influence of naturally-occurring organic acids on model estimates of lakewater acidification using the model of acidification of groundwater in catchments (MAGIC)  

SciTech Connect (OSTI)

A project for the US Department of Energy, entitled Incorporation of an organic acid representation into MAGIC (Model of Acidification of Groundwater in Catchments) and Testing of the Revised Model UsingIndependent Data Sources'' was initiated by E S Environmental Chemistry, Inc. in March, 1992. Major components of the project include: improving the MAGIC model by incorporating a rigorous organic acid representation, based on empirical data and geochemical considerations, and testing the revised model using data from paleolimnological hindcasts of preindustrial chemistry for 33 Adirondack Mountain lakes, and the results of whole-catchment artificial acidification projects in Maine and Norway. The ongoing research in this project involves development of an organic acid representation to be incorporated into the MAGIC modeland testing of the improved model using three independent data sources. The research during Year 1 has included conducting two workshops to agree on an approach for the organic acid modeling, developing the organic subroutine and incorporating it into MAGIC (Task 1), conducing MAGIC hindcasts for Adirondack lakes and comparing the results with paleolimnological reconstructions (Task 2), and conducting site visits to the manipulation project sites in Maine and Norway. The purpose of this report is to provide a summary of the work that has been conducted on this project during Year 1. Tasks 1 and 2 have now been completed.

Sullivan, T.J.; Eilers, J.M. (E and S Environmental Chemistry, Inc., Corvallis, OR (United States)); Cosby, B.J. (Virginia Univ., Charlottesville, VA (United States). Dept. of Environmental Sciences); Driscoll, C.T. (Syracuse Univ., NY (United States). Dept. of Civil Engineering); Hemond, H.F. (Massachusetts Inst. of Tech., Cambridge, MA (United States). Dept. of Civil Engineering); Charles, D.F.

1993-03-05T23:59:59.000Z

280

Sliding mode observer design for a PWR to estimate the xenon concentration & delayed neutrons precursor density based on the two point nuclear reactor model  

Science Journals Connector (OSTI)

Abstract One of the important operations in nuclear power plants is load-following in which imbalance of axial power distribution induces xenon oscillations. These oscillations must be maintained within acceptable limits otherwise the nuclear power plant could become unstable. Therefore, bounded xenon oscillation considered to be a constraint for the load-following operation. In other hands, precursors produce delayed neutrons which are most important in control of nuclear reactor, but xenon concentration & precursor density cannot be measured directly. In this paper, non-linear sliding mode observer which has the robust characteristics facing the parameters uncertainties and disturbances is proposed based on the two point nuclear reactor model to estimate the xenon concentration & delayed neutron precursor density of the Pressurized-Water Nuclear Reactor (PWR) using reactor power measurement. The stability analysis is given by means Lyapunov approach, thus the system is guaranteed to be stable within a large range. The employed method is easy to implement in practical applications. This estimation is done taking into account the effects of reactivity feedback due to temperature and xenon concentration. Simulation results clearly show that the sliding mode observer follows the actual system variables accurately and is satisfactory in the presence of the parameters uncertainties & disturbances.

G.R. Ansarifar; M.H. Esteki; M. Arghand

2015-01-01T23:59:59.000Z

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.


281

Distributed Energy: Modeling Penetration in Industrial Sector Over the Long-Term  

E-Print Network [OSTI]

and the generation of steam. Within the framework of a US energy system model (MARKAL using the assumptions underlying AEO 2005), where all sources of energy supply and demand are depicted, the potential penetration of DE options is evaluated. The industrial... and the generation of steam. Within the framework of a US energy system model (MARKAL using the assumptions underlying AEO 2005), where all sources of energy supply and demand are depicted, the potential penetration of DE options is evaluated. The industrial...

Greening, L.

2006-01-01T23:59:59.000Z

282

A Monte Carlo Investigation of Three Different Estimation Methods in Multilevel Structural Equation Modeling Under Conditions of Data Nonnormality and Varied Sample Sizes  

E-Print Network [OSTI]

various sample sizes and differing estimators (maximum likelihood, generalized least squares, and weighted least squares). The finding revealed that the regression coefficients were estimated with little to no bias among the study design conditions...

Byrd, Jimmy

2010-01-14T23:59:59.000Z

283

Evaluation of solar radiation estimation methods for reference evapotranspiration estimation in Canada  

Science Journals Connector (OSTI)

The accuracy of nine solar radiation (R s ) estimation models and their effects on reference evapotranspiration (ET o ...)...

Olanike O Aladenola; Chandra A Madramootoo

2013-12-01T23:59:59.000Z

284

Sun Sensor Model Nikolas Trawny and Stergios Roumeliotis  

E-Print Network [OSTI]

Sun Sensor Model Nikolas Trawny and Stergios Roumeliotis Department of Computer Science://www.cs.umn.edu/~trawny #12;Sun Sensor Model Nikolas Trawny and Stergios Roumeliotis Department of Computer Science-hole Camera Model The Sun Sensor is represented mathematically by the simple pin-hole camera model, depicted

Roumeliotis, Stergios I.

285

Harmonizing Systems and Software Cost Estimation  

E-Print Network [OSTI]

The objective of this paper is to examine the gaps and overlaps between software and systems engineering cost models with intent to harmonize the estimates in engineering engineering estimation. In particular, we evaluate ...

Wang, Gan

2009-07-19T23:59:59.000Z

286

Parameter Estimation Through Ignorance  

E-Print Network [OSTI]

Dynamical modelling lies at the heart of our understanding of physical systems. Its role in science is deeper than mere operational forecasting, in that it allows us to evaluate the adequacy of the mathematical structure of our models. Despite the importance of model parameters, there is no general method of parameter estimation outside linear systems. A new relatively simple method of parameter estimation for nonlinear systems is presented, based on variations in the accuracy of probability forecasts. It is illustrated on the Logistic Map, the Henon Map and the 12-D Lorenz96 flow, and its ability to outperform linear least squares in these systems is explored at various noise levels and sampling rates. As expected, it is more effective when the forecast error distributions are non-Gaussian. The new method selects parameter values by minimizing a proper, local skill score for continuous probability forecasts as a function of the parameter values. This new approach is easier to implement in practice than alternative nonlinear methods based on the geometry of attractors or the ability of the model to shadow the observations. New direct measures of inadequacy in the model, the "Implied Ignorance" and the information deficit are introduced.

Hailiang Du; Leonard A. Smith

2012-06-06T23:59:59.000Z

287

NPP Estimation for Grasslands  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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?"

288

Online parameter estimation applied to mixed conduction/radiation  

E-Print Network [OSTI]

) is the most widely used parameter estimation algorithm for nonlinear models. The unscented Kalman filter (UKF) is a new and more accurate technique for parameter estimation. These parameter estimation techniques have been evaluated with respect to data from...

Shah, Tejas Jagdish

2005-08-29T23:59:59.000Z

289

Contribution to the development of DOE ARM Climate Modeling Best Estimate Data (CMBE) products: Satellite data over the ARM permanent and AMF sites: Final Report  

SciTech Connect (OSTI)

To support the LLNL ARM infrastructure team Climate Modeling Best Estimate (CMBE) data development, the University of North Dakota (UND)'s group will provide the LLNL team the NASA CERES and ISCCP satellite retrieved cloud and radiative properties for the periods when they are available over the ARM permanent research sites. The current available datasets, to date, are as follows: the CERES/TERRA during 200003-200812; the CERES/AQUA during 200207-200712; and the ISCCP during 199601-200806. The detailed parameters list below: (1) CERES Shortwave radiative fluxes (net and downwelling); (2) CERES Longwave radiative fluxes (upwelling) - (items 1 & 2 include both all-sky and clear-sky fluxes); (3) CERES Layered clouds (total, high, middle, and low); (4) CERES Cloud thickness; (5) CERES Effective cloud height; (6) CERES cloud microphysical/optical properties; (7) ISCCP optical depth cloud top pressure matrix; (8) ISCCP derived cloud types (r.g., cirrus, stratus, etc.); and (9) ISCCP infrared derived cloud top pressures. (10) The UND group shall apply necessary quality checks to the original CERES and ISCCP data to remove suspicious data points. The temporal resolution for CERES data should be all available satellite overpasses over the ARM sites; for ISCCP data, it should be 3-hourly. The spatial resolution is the closest satellite field of view observations to the ARM surface sites. All the provided satellite data should be in a format that is consistent with the current ARM CMBE dataset so that the satellite data can be easily merged into the CMBE dataset.

Xie, B; Dong, X; Xie, S

2012-05-18T23:59:59.000Z

290

Risk Estimation; Background Radiation (Natural and Artificial )  

E-Print Network [OSTI]

-threshold mode estimate the response at lower doses. 路 The Committee on Biological Effects of Ionizing RadiationModule 9 Risk Estimation; Background Radiation (Natural and Artificial ) 路 sources of background radiation 路 various risk models. 路 estimating risk and on the sources of background radiation, both

Massey, Thomas N.

291

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

292

Modeling, control, and power management of a power electrical system including two distributed generators based on fuel cell and supercapacitor  

Science Journals Connector (OSTI)

This paper focuses on Distributed Generator (DG) integration in Power Electrical System (PES) for dispersed nodes. The main objective of the DG use can be classified into two aspects: a load following service and ancillary service systems. In this study the DG system contains a Fuel cell and a Supercapacitor storage device. A gas turbine system is modeled in order to estimate the PES frequency behavior under a variable power demand. The main goal of this work is to develop a DG control strategy with the aim to smooth the frequency and the voltage peak variations. To assess the different management stages the power flow exchanged between DGs and PES is depicted and discussed for different power demand variations. The results found with the DGs integration strategy confirm the frequency and voltage regulations and also prove the well power flow management.

L. Krichen

2013-01-01T23:59:59.000Z

293

Internal Dose Estimates from  

E-Print Network [OSTI]

Appendix F Internal Dose Estimates from NTS Fallout F-1 #12;Radiation Dose to the Population;TABLE OF CONTENTS Page F- Part I. Estimates of Dose...........................................................................................40 Comparison to dose estimates from global fallout

294

Estimated United States Residential Energy Use in 2005  

SciTech Connect (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

295

Data-dependent Write Channel Model for Magnetic Recording  

E-Print Network [OSTI]

for the Bit-Patterned Media (BPM) channel in [1]. Here, we focus on the write channel and characterize model considered and its relevance with the BPM write channel. We then characterize the information with probability 1. Relevance with the BPM write channel The channel model in (1) depicts a BPM write channel

Wang, Deli

296

Estimated Carbon Dioxide Emissions in 2008: United States  

SciTech Connect (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

297

PSM: Lithium-Ion Battery State of Charge (SOC) and Critical Surface Charge (CSC) Estimation using an Electrochemical Model-driven  

E-Print Network [OSTI]

PSM: Lithium-Ion Battery State of Charge (SOC) and Critical Surface Charge (CSC) Estimation using Abstract-- This paper presents a numerical calculation of the evolution of the spatially-resolved solid concentration in the two electrodes of a lithium-ion cell. The microscopic solid con- centration is driven

Stefanopoulou, Anna

298

Remaining useful life estimates of a PEM fuel cell stack by including characterization-induced disturbances in a particle filter model  

E-Print Network [OSTI]

Remaining useful life estimates of a PEM fuel cell stack by including characterization- induced Besan莽on, France rgourive@ens2m.fr ABSTRACT: Proton Exchange Membrane Fuel Cells (PEMFC) are available, Prognostics, Remaining Useful life, Particle filter 1. Introduction Proton Exchange Membrane Fuel Cells

Paris-Sud XI, Universit茅 de

299

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]

2.5 Potential Savings in Commercial Buildings .......................................... 18 2.6 Energy Benchmarking Strategies for Commercial Buildings................ 19 2.7 Summary... OF POTENTIAL ENERGY SAVINGS IN COMMERCIAL BUILDINGS .............................. 78 5.1 Potential Savings Estimation Methodology........................................... 78 5.2 Mathematical Formulation of the Potential Savings Methodology...

Baltazar Cervantes, Juan Carlos

2007-04-25T23:59:59.000Z

300

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]

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...

Akbarnejad Nesheli, Babak

2012-07-16T23:59:59.000Z

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.


301

Cost Estimation Package  

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

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

1997-03-28T23:59:59.000Z

302

On parameter and state estimation for linear differential-algebraic equations  

Science Journals Connector (OSTI)

The current demand for more complex models has initiated a shift away from state-space models towards models described by differential-algebraic equations (DAEs). These models arise as the natural product of object-oriented modeling languages, such as ... Keywords: Differential-algebraic equations, Estimation, Gray-box models, Kalman filtering, Modeling, Parameter estimation, State estimation, Stochastic differential-algebraic equations

Markus Gerdin; Thomas B. Sch鰊; Torkel Glad; Fredrik Gustafsson; Lennart Ljung

2007-03-01T23:59:59.000Z

303

Check Estimates and Independent Costs  

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

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

1997-03-28T23:59:59.000Z

304

Calculating the nth voter utility under the infinite sequential voting with externalities model  

E-Print Network [OSTI]

the expected utility of each voter according to its place in the line of voters. The model is depictedCalculating the nth voter utility under the infinite sequential voting with externalities model has its own private preference, and some utility externalities. In this model, the voter prefers

Fiat, Amos

305

MODEL OF THE .MIGRATION OF ALBACORE IN THE NORTH PACIFIC OCEAN  

E-Print Network [OSTI]

MODEL OF THE .MIGRATION OF ALBACORE IN THE NORTH PACIFIC OCEAN .By TAMIO OTSU and RICHARD N. UCHIDA of the migration of albacore in the North Pacific Ocean has been developed. This model is consistent with the hypothesis that there is a single population of albacore in the North Pacific Ocean. . The model depicts

306

Application of a Gibbs Sampler to estimating parameters of a hierarchical normal model with a time trend and testing for existence of the global warming.  

E-Print Network [OSTI]

??This research is devoted to studying statistical inference implemented using the Gibbs Sampler for a hierarchical Bayesian linear model with first order autoregressive structure. This (more)

Yankovskyy, Yevhen

2008-01-01T23:59:59.000Z

307

Faster parameter estimation using risk-sensitive lters Sanjeewa Athuraliyay  

E-Print Network [OSTI]

Faster parameter estimation using risk-sensitive lters Sanjeewa Athuraliyay , Jason Fordz and John propose a risk-sensitive approach to parameter estimation for hidden Markov models HMMs. The parameter the improvement in estimation simu- lation studies are presented that compare parameter estimation based on risk-sensitive

Moore, John Barratt

308

Regional climate model data used within the SWURVE project 1:projected changes in seasonal patterns and estimation of PET Hydrol. Earth Syst. Sci., 11(3), 10691083, 2007  

E-Print Network [OSTI]

Regional climate model data used within the SWURVE project 1:projected changes in seasonal patterns) project, assessing the risk posed by future climatic change to various hydrological and hydraulic systems/1069/2007 漏 Author(s) 2007. This work is licensed under a Creative Commons License. Regional climate model data used

Paris-Sud XI, Universit茅 de

309

8th International Conference on Probability Methods Applied to Power Systems, Ames Iowa, September 2004 Estimating Failure Propagation in Models of  

E-Print Network [OSTI]

and a power systems blackout model of cascading transmission line overloads. The comparisons suggest stage. OPA is a power system blackout model that represents probabilistic cascading line outages. The initial disturbance is generated by random line outages and load variations. Overloaded lines outage

310

State energy data report 1994: Consumption estimates  

SciTech Connect (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

311

Comparison of Maximum Entropy and Higher-Order Entropy Estimators Amos Golan* and Jeffrey M. Perloff**  

E-Print Network [OSTI]

(Golan, Judge, and Miller, 1996) has been widely used for linear and nonlinear estimation models. We

Perloff, Jeffrey M.

312

Radiation Dose Estimates from  

E-Print Network [OSTI]

Summary: Radiation Dose Estimates from Hanford Radioactive Material Releases to the Air- tantly, what radiation dose people may have received. An independent Technical Steering Panel (TSP, additionalProjectworkcouldresultin revisions of these dose estimates. April 21, 1994 Companion

313

State Energy Production Estimates  

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

State Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052...

314

Types of Cost Estimates  

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

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

1997-03-28T23:59:59.000Z

315

Lattice Boltzmann simulation of solute transport in heterogeneous porous media with conduits to estimate macroscopic continuous time random walk model parameters  

SciTech Connect (OSTI)

Lattice Boltzmann models simulate solute transport in porous media traversed by conduits. Resulting solute breakthrough curves are fitted with Continuous Time Random Walk models. Porous media are simulated by damping flow inertia and, when the damping is large enough, a Darcy's Law solution instead of the Navier-Stokes solution normally provided by the lattice Boltzmann model is obtained. Anisotropic dispersion is incorporated using a direction-dependent relaxation time. Our particular interest is to simulate transport processes outside the applicability of the standard Advection-Dispersion Equation (ADE) including eddy mixing in conduits. The ADE fails to adequately fit any of these breakthrough curves.

Anwar, S.; Cortis, A.; Sukop, M.

2008-10-20T23:59:59.000Z

316

External Dose Estimates from  

E-Print Network [OSTI]

Appendix G External Dose Estimates from Global Fallout G-1 #12;External Radiation Exposure-MQ-003539 March 15, 2000 G-2 #12;Abstract This report provides estimates of the external radiation-62. Estimates are given on a county by county basis for each month from 1953-1972. The average population dose

317

External Dose Estimates from  

E-Print Network [OSTI]

Appendix E External Dose Estimates from NTS Fallout E-1 #12;External Radiation Exposure. 1, 1999) E-2 #12;Abstract This report provides estimates of the external radiation exposure of this report to: "Prepare crude estimates of the doses from external irradiation received by the American

318

Density Estimation Trees in High Energy Physics  

E-Print Network [OSTI]

Density Estimation Trees can play an important role in exploratory data analysis for multidimensional, multi-modal data models of large samples. I briefly discuss the algorithm, a self-optimization technique based on kernel density estimation, and some applications in High Energy Physics.

Anderlini, Lucio

2015-01-01T23:59:59.000Z

319

STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES  

E-Print Network [OSTI]

CHAPTER 1 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES O. Bernard1 , B. Chachuat2 , and J sensors (also called observers) for wastewater treatment plants (WWTPs). We give an overview model description (e.g., the 1 #12;2 STATE ESTIMATION FOR WASTEWATER TREATMENT PROCESSES extended Kalman

Bernard, Olivier

320

EPA 402-R-93-076 ESTIMATING RADIOGENIC CANCER RISKS  

E-Print Network [OSTI]

comparing health risk estimates due to low level exposures of low-LET radiation based on models recently This document presents a revised methodology for EPA's estimation of cancer risks due to low-LET radiation, the risk models are applied to estimate organ-specific risks, per unit dose, for a stationary population

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

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 (OSTI)

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

322

Local identification of scalar hybrid models with tree structure  

Science Journals Connector (OSTI)

......using an SHM for the reactor. LOCAL IDENTIFICATION...established with the necessary reliability. Therefore, a black-box...complexity of the SHM for the reactor subprocesses as depicted...the SHM allows the analysis of the impact of monomer...extrapolability for practical reactor modelling. Indeed and......

Bernold Fiedler; Andreas Schuppert

2008-06-01T23:59:59.000Z

323

Fracture compliance estimation using borehole tube waves  

E-Print Network [OSTI]

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

Bakku, Sudhish Kumar

324

Estimating odour impact range of a selected wastewater treatment plant for winter and summer seasons in Polish conditions using CALPUFF model  

Science Journals Connector (OSTI)

Odour emission from wastewater treatment plants (WWTP) is a common cause of odour nuisance to neighbouring areas. The analysed object was mechanical biological WWTP designed for 1,200,000 population equivalent. Collection of the samples was carried out in accordance with the methodology described in VDI 3880 and PN-EN 13725 during the rainless weather. Odour concentration measurement was made using the method of dynamic olfactometry, in accordance with the procedures described in EN:13725 'Air Quality: Determination of odour concentration by dynamic olfactometry'. For selected emission sources model calculations were conducted using CALPUFF dispersion model for neighbouring residential areas, which are exceptionally exposed to odours. This study presents results of modelling in local scale, for different meteorological scenarios, respectively for winter and summer seasons.

Izabela S贸wka; Maria Skr?towicz; Piotr Sobczy?ski; Jerzy Zwo藕dziak

2014-01-01T23:59:59.000Z

325

ONLINE TRAFFIC LIGHT CONTROL THROUGH GRADIENT ESTIMATION USING  

E-Print Network [OSTI]

Infinitesimal Perturbation and Analysis (IPA) but the model we use to derive the #12;IPA estimates developed which is based on IPA (Cassandras et al., 2002). In this approach, we derive estimators

Panayiotou, Christos

326

MODELING OF PLANE-WAVE INCIDENCE ON A TWISTED-WIRE PAIR BUNDLE FOR RF INGRESS ESTIMATION IN DIGITAL SUBSCRIBER LINE SYSTEMS  

E-Print Network [OSTI]

is electromagnetic interference (EMI) caused by external radio sources that operate in the same frequency band) system consisting of a bundle of twisted-wire pairs (TWPs) in the presence of electromagnetic interference (EMI) is presented. The objective of such a model is to analyze the susceptibility of TWP bundles

327

Practical method for estimating wind characteristics at potential wind-energy-conversion sites  

SciTech Connect (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

328

A numerical soil-water-balance (SWB) model was used to estimate groundwater recharge in the Williston and Powder River structural basins in the Northern Great Plains.  

E-Print Network [OSTI]

in the Williston and Powder River structural basins in the Northern Great Plains. The SWB model consisted of 1 km2 to 2011. Average calculated recharge in the Williston basin was 0.190 in/yr (1,281 ft3 /sec) and ranged.1 percent of precipitation in the Williston basin. Average recharge in the Powder River basin was 0.136 in

Torgersen, Christian

329

Are global wind power resource estimates overstated?  

Science Journals Connector (OSTI)

Estimates of the global wind power resource over land range from 56 to 400燭W. Most estimates have implicitly assumed that extraction of wind energy does not alter large-scale winds enough to significantly limit wind power production. Estimates that ignore the effect of wind turbine drag on local winds have assumed that wind power production of 24燱爉?2 can be sustained over large areas. New results from a mesoscale model suggest that wind power production is limited to about 1燱爉?2 at wind farm scales larger than about 100爇m2. We find that the mesoscale model results are quantitatively consistent with results from global models that simulated the climate response to much larger wind power capacities. Wind resource estimates that ignore the effect of wind turbines in slowing large-scale winds may therefore substantially overestimate the wind power resource.

Amanda S Adams; David W Keith

2013-01-01T23:59:59.000Z

330

Model-Based Estimation of Forest Canopy Height in Red and Austrian Pine Stands Using Shuttle Radar Topography Mission and Ancillary Data: a Proof-of-Concept Study  

SciTech Connect (OSTI)

In this paper, accurate tree stand height retrieval is demonstrated using C-band Shuttle Radar Topography Mission (SRTM) height and ancillary data. The tree height retrieval algorithm is based on modeling uniform tree stands with a single layer of randomly oriented vegetation particles. For such scattering media, the scattering phase center height, as measured by SRTM, is a function of tree height, incidence angle, and the extinction coefficient of the medium. The extinction coefficient for uniform tree stands is calculated as a function of tree height and density using allometric equations and a fractal tree model. The accuracy of the proposed algorithm is demonstrated using SRTM and TOPSAR data for 15 red pine and Austrian pine stands (TOPSAR is an airborne interferometric synthetic aperture radar). The algorithm yields root-mean-square (rms) errors of 2.5-3.6 m, which is a substantial improvement over the 6.8-8.3-m rms errors from the raw SRTM minus National Elevation Dataset Heights.

Brown Jr., C G; Sarabandi, K; Pierce, L E

2007-04-06T23:59:59.000Z

331

Introduction Estimation paramtrique (exemples)  

E-Print Network [OSTI]

Introduction Estimation param茅trique (exemples) FARMAN : Laboratoire SATIE Jean-Pierre Barbot J.P. Barbot S茅minaires FARMAN (Traitement du Signal) - 1/36 #12;Introduction Estimation param茅trique (exemples de param猫tres de synchronisation (VDSL 2) J.P. Barbot S茅minaires FARMAN (Traitement du Signal) - 2

332

Internal Dose Estimates from  

E-Print Network [OSTI]

Appendix H Internal Dose Estimates from Global Fallout H-1 #12;Radiation Dose to the Population. 263-MQ-008090 September 30, 2000 H-2 #12;Radiation Dose to the Population of the Continental United Site Part I. Estimates of Dose Lynn R. Anspaugh Lynn R. Anspaugh, Consulting Salt Lake City, UT Report

333

Estimating Specialty Costs  

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

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

1997-03-28T23:59:59.000Z

334

Online Simultaneous State Estimation and Parameter Adaptation for Building Predictive Control  

E-Print Network [OSTI]

and E. ekov, 揃uilding Modeling as a Crucial Part forthe designed adaptive building modeling framework is testedThe details of building thermal modeling and estimation of

Maasoumy, Mehdi; Moridian, Barzin; Razmara, Meysam; Shahbakhti, Mahdi; Sangiovanni-Vincentelli, Alberto

2014-01-01T23:59:59.000Z

335

Two Applications of Nonparametric Regression in Survey Estimation  

E-Print Network [OSTI]

) Nonparametric model-assisted estimator (b) Utah Forest Survey 4. Specific Inference for Survey Data (a (m) System asp aspect (deg) (GIS) slope slope (deg) hillshd hillshade (solar radiation) N = 67, 216 Moderate generic specific model-assisted model-based Small specific small domain estimation 路 "Number

336

EVALUATION OF TEMPORAL VARIATIONS IN HYDRAULIC CAPTURE DUE TO CHANGING FLOW PATTERNS USING MAPPING AND MODELING TECHNIQUES  

SciTech Connect (OSTI)

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

337

Determination of naval medium speed diesel engine air exhaust emissions and validation of a proposed estimation model. Master`s thesis  

SciTech Connect (OSTI)

Steady state marine diesel engine exhaust emissions are being reviewed by the Environmental Protection Agency for possible regulation. In anticipation of future regulation, the United States Navy is developing appropriate emissions models for naval vessels. A procedure for collecting this data from an U. S. Navy ship with medium speed main propulsion diesels is presented. It is based on similar testing conducted by the U.S. Coast Guard for measuring patrol boat diesel engine emissions and International Standards Organization methodology. The primary challenge of the experiment design was to minimize interference with the engineering plant as the assigned ship was concurrently tasked for other operations. Data gathered allowed calculation of engine rpm, engine load, exhaust gas flow rate, and determination of pollutant amounts. The tests were conducted at a series of predetermined speeds to reflect an 11-Mode duty cycle developed previously for the LSD 41 Class propulsion diesel engines.

Mayeaux, A.M.

1995-05-01T23:59:59.000Z

338

Microbial Impacts to the Near-Field Environment Geochemistry (MING): A Model for Estimating Microbial Communities in Repository Drifts at Yucca Mountain  

SciTech Connect (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

339

A conceptual model and preliminary estimate of potential tritium migration from the Benham (U-20c) site, Pahute Mesa, Nevada Test Site  

SciTech Connect (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

340

Estimating exposure of terrestrial wildlife to contaminants  

SciTech Connect (OSTI)

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

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

1994-09-01T23:59:59.000Z

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

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

342

Effects of Seasonality on the Estimation of Environmental Extremes: A Study of Non-Homogeneous Methods for Estimating Environmental Extremes:.  

E-Print Network [OSTI]

??Extreme value theory is commonly applied in ocean engineering to estimate extreme environmental conditions (e.g. wave height and wind speed). Extreme value models generally assume (more)

Trahan, A.C.

2013-01-01T23:59:59.000Z

343

Hybrid Systems State estimation for hybrid systems: applications  

E-Print Network [OSTI]

Hybrid Systems State estimation for hybrid systems: applications to aircraft tracking I. Hwang, H of a stochastic linear hybrid system, given only the continuous system output data, is studied. Well established techniques for hybrid estimation, known as the multiple model adaptive estimation algorithm

Tomlin, Claire

344

Attribution and Apportionment - Preliminary Estimation Procedures  

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

345

A simple method to estimate interwell autocorrelation  

SciTech Connect (OSTI)

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

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

1997-08-01T23:59:59.000Z

346

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

347

Cost Estimating Guide  

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

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

2011-05-09T23:59:59.000Z

348

: Helmholtz machine estimation .  

E-Print Network [OSTI]

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

349

Estimating Power System Dynamic States Using Extended Kalman Filter  

SciTech Connect (OSTI)

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

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

2014-10-31T23:59:59.000Z

350

Estimation of Density of Biodiesel  

Science Journals Connector (OSTI)

In addition, the numeric value for coefficient e is very small (?0.00001) and the nd(ave) of most biodiesels are not greater than 2. Therefore, the product of e nd(ave) can be neglected without affecting the accuracy of the calculation and eq 30 is good for estimation of density of biodiesel. ... Interestingly, the %AAD for mixed biodiesel (0.38) is lower than those of pure (0.41%) and total biodiesels. ... (21) The model cannot differentiate a mixed biodiesel from pure biodiesels. ...

Suriya Phankosol; Kaokanya Sudaprasert; Supathra Lilitchan; Kornkanok Aryusuk; Kanit Krisnangkura

2014-06-16T23:59:59.000Z

351

The influence of naturally-occurring organic acids on model estimates of lakewater acidification using the model of acidification of groundwater in catchments (MAGIC). Summary of research conducted during year 1  

SciTech Connect (OSTI)

A project for the US Department of Energy, entitled ``Incorporation of an organic acid representation into MAGIC (Model of Acidification of Groundwater in Catchments) and Testing of the Revised Model UsingIndependent Data Sources`` was initiated by E&S Environmental Chemistry, Inc. in March, 1992. Major components of the project include: improving the MAGIC model by incorporating a rigorous organic acid representation, based on empirical data and geochemical considerations, and testing the revised model using data from paleolimnological hindcasts of preindustrial chemistry for 33 Adirondack Mountain lakes, and the results of whole-catchment artificial acidification projects in Maine and Norway. The ongoing research in this project involves development of an organic acid representation to be incorporated into the MAGIC modeland testing of the improved model using three independent data sources. The research during Year 1 has included conducting two workshops to agree on an approach for the organic acid modeling, developing the organic subroutine and incorporating it into MAGIC (Task 1), conducing MAGIC hindcasts for Adirondack lakes and comparing the results with paleolimnological reconstructions (Task 2), and conducting site visits to the manipulation project sites in Maine and Norway. The purpose of this report is to provide a summary of the work that has been conducted on this project during Year 1. Tasks 1 and 2 have now been completed.

Sullivan, T.J.; Eilers, J.M. [E and S Environmental Chemistry, Inc., Corvallis, OR (United States)] [E and S Environmental Chemistry, Inc., Corvallis, OR (United States); Cosby, B.J. [Virginia Univ., Charlottesville, VA (United States). Dept. of Environmental Sciences] [Virginia Univ., Charlottesville, VA (United States). Dept. of Environmental Sciences; Driscoll, C.T. [Syracuse Univ., NY (United States). Dept. of Civil Engineering] [Syracuse Univ., NY (United States). Dept. of Civil Engineering; Hemond, H.F. [Massachusetts Inst. of Tech., Cambridge, MA (United States). Dept. of Civil Engineering] [Massachusetts Inst. of Tech., Cambridge, MA (United States). Dept. of Civil Engineering; Charles, D.F. [Academy of Natural Sciences of Philadelphia, PA (United States). Patrick Center for Environmental Research] [Academy of Natural Sciences of Philadelphia, PA (United States). Patrick Center for Environmental Research; Norton, S.A. [Maine Univ., Orono, ME (United States). Dept. of Geological Sciences] [Maine Univ., Orono, ME (United States). Dept. of Geological Sciences

1993-03-05T23:59:59.000Z

352

Distributed Energy Resources Market Diffusion Model  

SciTech Connect (OSTI)

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

353

BatPRO: Battery Manufacturing Cost Estimation | Argonne National...  

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

BatPRO: Battery Manufacturing Cost Estimation BatPRO models a stiff prismatic pouch-type cell battery pack with cells linked in series. BatPRO models a stiff prismatic pouch-type...

354

Estimation of GMRFs by Recursive Cavity Jason K. Johnson  

E-Print Network [OSTI]

Estimation of GMRFs by Recursive Cavity Modeling by Jason K. Johnson Submitted to the Department by Recursive Cavity Modeling by Jason K. Johnson Submitted to the Department of Electrical Engineering

Willsky, Alan S.

355

Weekly Coal Production Estimation Methodology  

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

Weekly Coal Production Estimation Methodology Step 1 (Estimate total amount of weekly U.S. coal production) U.S. coal production for the current week is estimated using a ratio...

356

Online Sensor Calibration Monitoring Uncertainty Estimation  

SciTech Connect (OSTI)

Empirical modeling techniques have been applied to online process monitoring to detect equipment and instrumentation degradations. However, few applications provide prediction uncertainty estimates, which can provide a measure of confidence in decisions. This paper presents the development of analytical prediction interval estimation methods for three common nonlinear empirical modeling strategies: artificial neural networks, neural network partial least squares, and local polynomial regression. The techniques are applied to nuclear power plant operational data for sensor calibration monitoring, and the prediction intervals are verified via bootstrap simulation studies.

Hines, J. Wesley; Rasmussen, Brandon [University of Tennessee (United States)

2005-09-15T23:59:59.000Z

357

Probabilistic models for mobile phone trajectory estimation  

E-Print Network [OSTI]

This dissertation is concerned with the problem of determining the track or trajectory of a mobile device - for example, a sequence of road segments on an outdoor map, or a sequence of rooms visited inside a building - in ...

Thiagarajan, Arvind

2011-01-01T23:59:59.000Z

358

Cardiovascular parameter estimation using a computational model  

E-Print Network [OSTI]

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

Samar, Zaid

2005-01-01T23:59:59.000Z

359

Numerical Wave Modeling and Wave Energy Estimation  

Science Journals Connector (OSTI)

In a rapidly evolving operational and research framework concerning the global energy resources, new frontiers have been set for ... the scientific community working on environmental and renewable energy issues. ...

G. Galanis; G. Zodiatis; D. Hayes

2013-01-01T23:59:59.000Z

360

REQUESTS FOR RETIREMENT ESTIMATE  

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

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

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

Estimating SCR installation costs  

SciTech Connect (OSTI)

The EUCG surveyed 72 separate US installations of selective catalytic reduction (SCR) systems at coal-fired units totalling 41 GW of capacity to identify the systems' major cost drivers. The results, summarized in this article, provide excellent first-order estimates and guidance for utilities considering installing the downstream emissions-control technology. 4 figs., 1 tab.

Marano, M.; Sharp, G. [American Electric Power (United States)

2006-01-15T23:59:59.000Z

362

SPACE TECHNOLOGY Actual Estimate  

E-Print Network [OSTI]

SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE TECHNOLOGY OVERVIEW .............................. TECH- 2 SBIR AND STTR

363

Variance estimation for radiation analysis and multi-sensor fusion.  

SciTech Connect (OSTI)

Variance estimates that are used in the analysis of radiation measurements must represent all of the measurement and computational uncertainties in order to obtain accurate parameter and uncertainty estimates. This report describes an approach for estimating components of the variance associated with both statistical and computational uncertainties. A multi-sensor fusion method is presented that renders parameter estimates for one-dimensional source models based on input from different types of sensors. Data obtained with multiple types of sensors improve the accuracy of the parameter estimates, and inconsistencies in measurements are also reflected in the uncertainties for the estimated parameter. Specific analysis examples are presented that incorporate a single gross neutron measurement with gamma-ray spectra that contain thousands of channels. The parameter estimation approach is tolerant of computational errors associated with detector response functions and source model approximations.

Mitchell, Dean James

2010-09-01T23:59:59.000Z

364

Use of Cost Estimating Relationships  

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

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

1997-03-28T23:59:59.000Z

365

Reinforcing flood杛isk estimation  

Science Journals Connector (OSTI)

...publication of the Flood estimation handbook, studies of ood risk are now...especially for its neglect of the physics of catchment pro- cesses of...recommended in the Flood estimation handbook (Institute of Hydrology 1999...estimates. The Flood estimation handbook (Institute of Hydrology 1999...

2002-01-01T23:59:59.000Z

366

Los Alamos PC estimating system  

SciTech Connect (OSTI)

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

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

1987-01-01T23:59:59.000Z

367

On estimating avalanche danger from simulated snow profiles Sascha Bellaire  

E-Print Network [OSTI]

that coupled snow cover and numerical weather prediction models can provide such information on the snow cover high-resolution numeric weather prediction model GEM-LAM. Experienced forecasters estimated. Forcing snow cover models with forecasted weather data from numerical models has been shown

Jamieson, Bruce

368

Anisotropic models to account for large borehole washouts to estimate gas hydrate saturations in the Gulf of Mexico Gas Hydrate Joint Industry Project Leg II Alaminos Canyon 21燘 well  

Science Journals Connector (OSTI)

Through the use of 3-D seismic amplitude mapping, several gas hydrate prospects were identified in the Alaminos Canyon (AC) area of the Gulf of Mexico. Two locations were drilled as part of the Gulf of Mexico Gas Hydrate Joint Industry Project Leg II (JIP Leg II) in May of 2009 and a comprehensive set of logging-while-drilling (LWD) logs were acquired at each well site. LWD logs indicated that resistivity in the range of ?2爋hm-m and P-wave velocity in the range of ?1.9爇m/s were measured in the target sand interval between 515 and 645 feet below sea floor. These values were slightly elevated relative to those measured in the sediment above and below the target sand. However, the initial well log analysis was inconclusive regarding the presence of gas hydrate in the logged sand interval, mainly because large washouts caused by drilling in the target interval degraded confidence in the well log measurements. To assess gas hydrate saturations in the sedimentary section drilled in the Alaminos Canyon 21 B (AC21-B) well, a method of compensating for the effect of washouts on the resistivity and acoustic velocities was developed. The proposed method models the washed-out portion of the borehole as a vertical layer filled with sea water (drilling fluid) and the apparent anisotropic resistivity and velocities caused by a vertical layer are used to correct the measured log values. By incorporating the conventional marine seismic data into the well log analysis, the average gas hydrate saturation in the target sand section in the AC21-B well can be constrained to the range of 828%, with 20% being our best estimate.

M.W. Lee; T.S. Collett; K.A. Lewis

2012-01-01T23:59:59.000Z

369

Part cost estimation at early design phase  

Science Journals Connector (OSTI)

Abstract Although 70% of part cost is determined during the early design stage, designers rarely accurately estimate the costs of their designs. Based on extensive literature review, in-depth industrial survey and close collaboration with multiple manufacturers, forty factors were identified as governing part cost and ranked according to cost impact. Based on parameter ranking and availability at the early stages of design, a cost estimator for designers is proposed. As the design progresses and more parameters become available, a more accurate cost model is derived and proposed to manufacturers. Results are analyzed and compared to actual manufacturing costing demonstrating good fit.

Gila Molcho; Asher Cristal; Moshe Shpitalni

2014-01-01T23:59:59.000Z

370

Online Vehicle Detection For Estimating Traffic Status  

E-Print Network [OSTI]

We propose a traffic congestion estimation system based on unsupervised on-line learning algorithm. The system does not rely on background extraction or motion detection. It extracts local features inside detection regions of variable size which are drawn on lanes in advance. The extracted features are then clustered into two classes using K-means and Gaussian Mixture Models(GMM). A Bayes classifier is used to detect vehicles according to the previous cluster information which keeps updated whenever system is running by on-line EM algorithm. Experimental result shows that our system can be adapted to various traffic scenes for estimating traffic status.

Lai, Ranch Y Q

2011-01-01T23:59:59.000Z

371

Additional Resources for Estimating Building Energy and Cost Savings to  

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

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 building types using the most common technologies.

372

A new view of radiation-induced cancer: integrating short- and long-term processes. Part II: second cancer risk estimation  

E-Print Network [OSTI]

radiation dose calculations. An important goal of our model development is second cancer risk estimation

Shuryak, Igor; Hahnfeldt, Philip; Hlatky, Lynn; Sachs, Rainer K.; Brenner, David J.

2009-01-01T23:59:59.000Z

373

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 Journals Connector (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

374

Geothermal Electricity Technology Evaluation Model (GETEM) Development...  

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

Electricity Technology Evaluation Model (GETEM) Development Geothermal Electricity Technology Evaluation Model (GETEM) Development Project objective: Provide a tool for estimating...

375

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1999-02-01T23:59:59.000Z

376

Distributed Predictive Control and Estimation for Systems with Information  

E-Print Network [OSTI]

constraints and a stationary LQG (Linear Quadratic Gaussian) control law is presented based on the model control and estimation law is demonstrated through a numerical simulation of smart grid. KeywordsDistributed Predictive Control and Estimation for Systems with Information Structures Exemplified

377

Nitrogen trifluoride global emissions estimated from updated atmospheric measurements  

E-Print Network [OSTI]

Nitrogen trifluoride global emissions estimated from updated atmospheric measurements Tim Arnolda,1's radiative budget; however, our understand- ing of its atmospheric burden and emission rates has been limited together with an atmo- spheric model and inverse method, we estimate that the global emissions of NF3

Severinghaus, Jeffrey P.

378

Modeling  

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

a single-fluid diffuse interface model in the ALE-AMR hydrodynamics code to simulate surface tension effects. We show simula- tions and compare them to other surface tension...

379

Modeling  

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

sion effects. We show the result of a test case, and compare it to the result without surface tension. The model describes droplet formation nicely. Application The ARRA-funded...

380

Nonlinear estimation in a class of gene transcription process  

Science Journals Connector (OSTI)

In this work the Goodwin model applied to gene transcription is employed as a benchmark system for estimation purposes, considering two dynamic behaviors, monotone decreasing and sustained oscillations, each one under a specific parameter's set. The ... Keywords: Asymptotic convergence, Goodwin model, Model uncertainties, Nonlinear observer, Observability analysis

Ricardo Aguilar-L髉ez, M. Isabel Neria-Gonz醠ez, Rafael Mart韓ez-Guerra, Juan L. Mata-Machuca

2014-01-01T23:59:59.000Z

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

Production and analysis of a Southern Ocean state estimate  

E-Print Network [OSTI]

A modern general circulation model of the Southern Ocean with one-sixth of a degree resolution is optimized to the observed ocean in a weighted least squares sense. Convergence toward the state estimate solution is carried ...

Mazloff, Matthew R

2006-01-01T23:59:59.000Z

382

3D pose estimation and segmentation using specular cues  

E-Print Network [OSTI]

We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection and (b) specular flow as cues, which are ...

Raskar, Ramesh

383

Thickness Estimation with Optical Coherence Tomography and Statistical Decision Theory  

Science Journals Connector (OSTI)

We implement a maximum-likelihood (ML) estimator to interpret Optical Coherence Tomography (OCT) data, based on a Fourier-Domain OCT and a two-interface tear film model. We use the...

Huang, Jinxin; Clarkson, Eric; Kupinski, Matthew; Rolland, Jannick P

384

Global Estimates Of Acute Pesticide Morbidity And Mortality  

Science Journals Connector (OSTI)

Mathematical models have been used to advance at least eight global estimates of morbidity and mortality from pesticide poisoning since 1973 (Bull 1982; Copplestone 1977; Forget 1991; Jeyaratnam 1985, 1990; Le...

Robert S. Levine; John Doull

1992-01-01T23:59:59.000Z

385

Deriving Atmospheric Density Estimates Using Satellite Precision Orbit Ephemerides  

E-Print Network [OSTI]

Model regardless of solar and geomagnetic activity levels. The POE density estimates were obtained with the desired accuracy for a 10% variation in the ballistic coefficient used to initialize the process. Fit span length showed little influence...

Hiatt, Andrew Timothy

2009-01-01T23:59:59.000Z

386

Handling model uncertainty in model predictive control for energy efficient buildings  

E-Print Network [OSTI]

to apply to other building modeling practices. 2. Wemodel 3.1. Mathematical modeling Building models proposed inMore details of building thermal modeling and estimation of

Maasoumy, Mehdi; Razmara, M; Shahbakhti, M; Sangiovanni-Vincentelli, Alberto

2014-01-01T23:59:59.000Z

387

Variable Density Flow Modeling for Simulation Framework for Regional Geologic CO{sub 2} Storage Along Arches Province of Midwestern United States  

SciTech Connect (OSTI)

The Arches Province in the Midwestern U.S. has been identified as a major area for carbon dioxide (CO{sub 2}) storage applications because of the intersection of Mt. Simon sandstone reservoir thickness and permeability. To better understand large-scale CO{sub 2} storage infrastructure requirements in the Arches Province, variable density scoping level modeling was completed. Three main tasks were completed for the variable density modeling: Single-phase, variable density groundwater flow modeling; Scoping level multi-phase simulations; and Preliminary basin-scale multi-phase simulations. The variable density modeling task was successful in evaluating appropriate input data for the Arches Province numerical simulations. Data from the geocellular model developed earlier in the project were translated into preliminary numerical models. These models were calibrated to observed conditions in the Mt. Simon, suggesting a suitable geologic depiction of the system. The initial models were used to assess boundary conditions, calibrate to reservoir conditions, examine grid dimensions, evaluate upscaling items, and develop regional storage field scenarios. The task also provided practical information on items related to CO{sub 2} storage applications in the Arches Province such as pressure buildup estimates, well spacing limitations, and injection field arrangements. The Arches Simulation project is a three-year effort and part of the United States Department of Energy (U.S. DOE)/National Energy Technology Laboratory (NETL) program on innovative and advanced technologies and protocols for monitoring/verification/accounting (MVA), simulation, and risk assessment of CO{sub 2} sequestration in geologic formations. The overall objective of the project is to develop a simulation framework for regional geologic CO{sub 2} storage infrastructure along the Arches Province of the Midwestern U.S.

Joel Sminchak

2011-09-30T23:59:59.000Z

388

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

E-Print Network [OSTI]

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

Xu, Wen, 1967-

2001-01-01T23:59:59.000Z

389

New Results in Stability, Control, and Estimation of Fractional Order Systems  

E-Print Network [OSTI]

of control and estimation, even for systems where fractional order models do not arise 搉aturally. This dissertation is aimed at further building of the base methodology with a focus on robust feedback control and state estimation. By setting...

Koh, Bong Su

2012-07-16T23:59:59.000Z

390

Modeling  

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

391

Distributed Linear Combination Estimators for Localization Based on Received Signal Strength  

E-Print Network [OSTI]

.8 Estimation under Unknown Propagation Model Parameters . . . . . . 55 2.8.1 Estimation of p0(d0) and np . . . . . . . . . . . . . . . . . . . 55 2.8.2 Estimation of p0(d0), np, and ? . . . . . . . . . . . . . . . . . 58 2.8.3 Location Estimation using... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172 vii LIST OF FIGURES FIGURE Page 2.1 Range dependence of RMSE of various estimators with np = 3 and ? = 5...

Chen, Wei-Yu

2013-12-05T23:59:59.000Z

392

The effect of missing data on wind resource estimation  

Science Journals Connector (OSTI)

Investment in renewable energy sources requires reliable data. However, meteorological datasets are often plagued by missing data, which can bias energy resource estimates if the missingness is systematic. We address this issue by considering the influence of missing data due to icing of equipment during the winter on the wind resource estimation for a potential wind turbine site in Norway. Using a mean-reverting jump-diffusion (MRJD) process to model electricity prices, we also account for the impact on the expected revenue from a wind turbine constructed at the site. While missing data due to icing significantly bias the wind resource estimate downwards, their impact on revenue estimates is dampened because of volatile electricity spot prices. By contrast, with low-volatility electricity prices, the effect of missing data on revenue estimates is highly significant. The seasonality-based method we develop removes most of the bias in wind resource and revenue estimation caused by missing data.

Aidan Coville; Afzal Siddiqui; Klaus-Ole Vogstad

2011-01-01T23:59:59.000Z

393

Seismic fragility estimates for corroded reinforced concrete bridge structures with two-column bents  

E-Print Network [OSTI]

with the probabilistic models for chloride-induced corrosion and the time-dependent corrosion rate. The fragility estimates for corroded RC bridges incorporates the uncertainties in the parameters of capacity and demand models, and the inexactness (or model error...

Zhong, Jinquan

2009-05-15T23:59:59.000Z

394

IDC RP2 & 3 US Industry Standard Cost Estimate Summary.  

SciTech Connect (OSTI)

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

Harris, James M.; Huelskamp, Robert M.

2015-01-01T23:59:59.000Z

395

An integrated approach for source contribution estimation: a case study  

Science Journals Connector (OSTI)

The efficiency of the CMB model for source contribution estimate is determined by the availability of accurate source profiles and therefore its use is limited when source profiles are not known. In this study the source contribution estimate of ambient VOC was carried out using the CMB model with the source profiles obtained from the PMF model. The PMF model fitted the monitored dataset very well with five factors. The source profiles generated by the PMF model resembled most closely the profiles of petroleum refineries, automobiles, wastewater treatment plants, solvent using industries, and solid waste burning. The derived source types match well with the prevailing source types in the study area. Using the source profiles developed by the PMF model, the CMB model could estimate source contributions for more than 80% of samples with R ? 0.9. The integrated method of developing source profiles with the PMF model and using them in the CMB model for estimating source contributions for each measured dataset proved to be successful and can be adopted in any location where source profiles are not known. This method also eliminates the need for ageing the source profiles to take care of atmospheric photochemical reactions.

S. Mohan; R. Ethirajan

2013-01-01T23:59:59.000Z

396

Examples of Cost Estimation Packages  

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

Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.

1997-03-28T23:59:59.000Z

397

5, 30473104, 2005 Estimates of  

E-Print Network [OSTI]

parametrisations, one relating convective preciptation (CP scheme) to lightning flash15 distributionsACPD 5, 3047颅3104, 2005 Estimates of lightning NOx production K. F. Boersma et al. Title Page Discussions Estimates of lightning NOx production from GOME satellite observations K. F. Boersma, H. J. Eskes

Paris-Sud XI, Universit茅 de

398

Energy Expenditure Estimation DEMO Application  

E-Print Network [OSTI]

of accelerometry. An average smart phone contains an inertial sensor and today we hardly leave our home without itEnergy Expenditure Estimation DEMO Application Bozidara Cvetkovi麓c1,2 , Simon Kozina1,2 , Bostjan://www.mps.si Abstract. The paper presents two prototypes for the estimation of hu- man energy expenditure during normal

Lu?trek, Mitja

399

Systems Advisor Model | Department of Energy  

Energy Savers [EERE]

Systems Advisor Model Systems Advisor Model Systems Advisor Model (SAM) makes performance predictions and cost of energy estimates for grid-connected power projects based on...

400

Aerosol Best Estimate Value-Added Product  

SciTech Connect (OSTI)

The objective of the Aerosol Best Estimate (AEROSOLBE) value-added product (VAP) is to provide vertical profiles of aerosol extinction, single scatter albedo, asymmetry parameter, and Angstroem exponents for the atmospheric column above the Central Facility at the ARM Southern Great Plains (SGP) site. We expect that AEROSOLBE will provide nearly continuous estimates of aerosol optical properties under a range of conditions (clear, broken clouds, overcast clouds, etc.). The primary requirement of this VAP was to provide an aerosol data set as continuous as possible in both time and height for the Broadband Heating Rate Profile (BBHRP) VAP in order to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Even though BBHRP has been completed, AEROSOLBE results are very valuable for environmental, atmospheric, and climate research.

Flynn, C; Turner, D; Koontz, A; Chand, D; Sivaraman, C

2012-07-19T23:59:59.000Z

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

Estimating climatological variability of solar energy production  

Science Journals Connector (OSTI)

Abstract A method is presented for estimating the climatological variability of yearly and monthly photovoltaic power production per 1爇Wp of installed power. This quantity is computed for a specified portfolio of sources on the basis of historical data. Its climatological variability is derived from a simulation of 33爕ears of power production with hourly time step. Underlying meteorological variables are taken from the MERRA reanalysis for the years 19792011. Since the MERRA reanalysis is not a traditional data source for photovoltaic power modelling, various comparisons to available and more frequently used data sources are included. The method of estimation has the advantage of wide applicability due to the global coverage of the meteorological data.

Pavel Juru; Kry歵of Eben; Jaroslav Resler; Pavel Kr?; Ivan Kasanick; Emil Pelik醤; Marek Brabec; Ji? Ho歟k

2013-01-01T23:59:59.000Z

402

title Estimating Policy Driven Greenhouse Gas Emissions Trajectories  

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

Estimating Policy Driven Greenhouse Gas Emissions Trajectories Estimating Policy Driven Greenhouse Gas Emissions Trajectories in California The California Greenhouse Gas Inventory Spreadsheet GHGIS Model year month institution Lawrence Berkeley National Laboratory address Berkeley abstract p A California Greenhouse Gas Inventory Spreadsheet GHGIS model was developed to explore the impact of combinations of state policies on state greenhouse gas GHG and regional criteria pollutant emissions The model included representations of all GHGemitting sectors of the California economy including those outside the energy sector such as high global warming potential gases waste treatment agriculture and forestry in varying degrees of detail and was carefully calibrated using available data and projections from multiple state agencies and

403

Direct estimation of Patlak parameters from list mode pet data  

Science Journals Connector (OSTI)

We describe a method to directly estimate Patlak parameters from list mode data. Based on the Patlak model, the uptake rate function of each voxel can be written as a linear combination of the blood input function and its integral, with the slope and ... Keywords: FDG PET, PET, incremental gradient, list mode, the Patlak Model

Quanzheng Li; Richard M. Leahy

2009-06-01T23:59:59.000Z

404

Estimated Annual Net Change in Soil Carbon per US County  

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

Estimated Annual Net Change in Soil Carbon per US County These data represent the estimated net change (Megagram per year) in soil carbon due to changes in the crop type and tillage intensity. Estimated accumulation of soil carbon under Conservation Reserve Program (CRP)lands is included in these estimates. Negative values represent a net flux from the atmosphere to the soil; positive values represent a net flux from the soil to the atmosphere. As such, soil carbon sequestration is represented here as a negative value. The method of analysis is based on empirical relationshipsbetween land management and soil carbon. The method for modeling land management and estimating soil carbonchange, used to generate these data, is described in the following publication:

405

Reinforcing flood杛isk estimation  

Science Journals Connector (OSTI)

...However, most ood-risk estimates support decisions...charac- ter. These are investment decisions, where the...current level of ood risk, making improvements...generated a national ood-risk map with a high political and societal impact...

2002-01-01T23:59:59.000Z

406

Estimation of resources and reserves  

E-Print Network [OSTI]

This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...

Massachusetts Institute of Technology. Energy Laboratory.

1982-01-01T23:59:59.000Z

407

Cosmological parameter estimation: impact of CMB aberration  

SciTech Connect (OSTI)

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

Catena, Riccardo [Institut f黵 Theoretische Physik, Friedrich-Hund-Platz 1, 37077 G鰐tingen (Germany); Notari, Alessio, E-mail: riccardo.catena@theorie.physik.uni-goettingen.de, E-mail: notari@ffn.ub.es [Departament de F韘ica Fondamental i Institut de Ci閚cies del Cosmos, Universitat de Barcelona, Mart i Franqu閟 1, 08028 Barcelona (Spain)

2013-04-01T23:59:59.000Z

408

Estimating demolition cost of plutonium buildings for dummies  

SciTech Connect (OSTI)

The primary purpose of the Rocky Flats Field Office of the US Department of Energy is to decommission the entire plant. In an effort to improve the basis and the accuracy of the future decommissioning cost, Rocky Flats has developed a powerful but easy-to-use tool to determine budget cost estimates to characterize, decontaminate, and demolish all its buildings. The parametric cost-estimating tool is called the Facilities Disposition Cost Model (FDCM).

Tower, S.E.

2000-07-01T23:59:59.000Z

409

Indirect Estimation of Radioactivity in Containerized Cargo  

SciTech Connect (OSTI)

Detecting illicit nuclear and radiological material in containerized cargo challenges the state of the art in detection systems. Current systems are being evaluated and new systems envisioned to address the need for the high probability of detection and extremely low false alarm rates necessary to thwart potential threats and extremely low nuisance and false alarm rates while maintaining necessary to maintain the flow of commerce impacted by the enormous volume of commodities imported in shipping containers. Maintaining flow of commerce also means that primary inspection must be rapid, requiring relatively indirect measurements of cargo from outside the containers. With increasing information content in such indirect measurements, it is natural to ask how the information might be combined to improved detection. Toward this end, we present an approach to estimating isotopic activity of naturally occurring radioactive material in cargo grouped by commodity type, combining container manifest data with radiography and gamma spectroscopy aligned to location along the container. The heart of this approach is our statistical model of gamma counts within peak regions of interest, which captures the effects of background suppression, counting noise, convolution of neighboring cargo contributions, and down-scattered photons to provide physically constrained estimates of counts due to decay of specific radioisotopes in cargo alone. Coupled to that model, we use a mechanistic model of self-attenuated radiation flux to estimate the isotopic activity within cargo, segmented by location within each container, that produces those counts. We demonstrate our approach by applying it to a set of measurements taken at the Port of Seattle in 2006. This approach to synthesizing disparate available data streams and extraction of cargo characteristics holds the potential to improve primary inspection using current detection capabilities and to enable simulation-based evaluation of new candidate detection systems.

Jarman, Kenneth D.; Scherrer, Chad; Smith, Eric L.; Chilton, Lawrence; Anderson, K. K.; Ressler, Jennifer J.; Trease, Lynn L.

2011-01-01T23:59:59.000Z

410

Chapter 6 - Subsea Cost Estimation  

Science Journals Connector (OSTI)

Publisher Summary This chapter provides guidelines for cost estimation during a project feasibility study, where the accuracy range is between 30% for subsea field development projects. Subsea cost refers to the cost of the whole project, which generally includes the capital expenditures (CAPEX) and operation expenditures (OPEX) of the subsea field development. The feasibility studies are performed before execution of the project, which may include three phases as shown in the figure: prefield development; conceptual/feasibility study; and front-end engineering design (FEED). Cost estimations are made for several purposes, and the methods used for the estimations as well as the desired amount of accuracy will be different. The cost estimation classifications according to Association for the Advancement of Cost Engineering (AACE): level of project definition: expressed as percentage of complete definition; end usage: typical purpose of estimation; methodology: typical estimating method; expected accuracy range: typical range relative to best index of 1; and preparation effort: typical degree of effort relative to least cost index of 1.

Yong Bai; Qiang Bai

2010-01-01T23:59:59.000Z

411

Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant  

DOE Patents [OSTI]

System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.

Kumar, Aditya; Shi, Ruijie; Dokucu, Mustafa

2013-09-17T23:59:59.000Z

412

ON THE RELIABILITY OF POLARIZATION ESTIMATION USING ROTATION MEASURE SYNTHESIS  

SciTech Connect (OSTI)

We benchmark the reliability of the rotation measure (RM) synthesis algorithm using the 1005 Centaurus A field sources of Feain et al. The RM synthesis solutions are compared with estimates of the polarization parameters using traditional methods. This analysis provides verification of the reliability of RM synthesis estimates. We show that estimates of the polarization parameters can be made at lower signal-to-noise ratio (S/N) if the range of RMs is bounded, but reliable estimates of individual sources with unusual RMs require unconstrained solutions and higher S/N. We derive from first principles the statistical properties of the polarization amplitude associated with RM synthesis in the presence of noise. The amplitude distribution depends explicitly on the amplitude of the underlying (intrinsic) polarization signal. Hence, it is necessary to model the underlying polarization signal distribution in order to estimate the reliability and errors in polarization parameter estimates. We introduce a Bayesian method to derive the distribution of intrinsic amplitudes based on the distribution of measured amplitudes. The theoretically derived distribution is compared with the empirical data to provide quantitative estimates of the probability that an RM synthesis solution is correct as a function of S/N. We provide quantitative estimates of the probability that any given RM synthesis solution is correct as a function of measured polarized amplitude and the intrinsic polarization amplitude compared to the noise.

Macquart, J.-P.; Ekers, R. D. [ICRAR/Curtin University of Technology, Bentley, WA 6845 (Australia); Feain, I. [CSIRO Astronomy and Space Science, P.O. Box 76, Epping, NSW 1710 (Australia); Johnston-Hollitt, M., E-mail: J.Macquart@curtin.edu.au [School of Chemical and Physical Sciences, Victoria University of Wellington, P.O. Box 600, Wellington 6140 (New Zealand)

2012-05-10T23:59:59.000Z

413

Estimation and specification tests of count data recreation demand functions  

E-Print Network [OSTI]

in the truncated and untruncated Poisson models, suggesting that the negative binomial family of distributions are more appropriate models. The results also demonstrate that using the seemingly unrelated Poisson regression estimator with event count data instead...- parameter distribution with mean and variance of Yi equal to Xt. This distribution can be extended to a count regression model by letting the expected count, E(Y; ) =? X&, to vary according to (II. 2) 4 = exp(q'P), where x; and P are, respectively...

Gomez, Irma Adriana

1991-01-01T23:59:59.000Z

414

Economic Model For a Return on Investment Analysis of United States Government High Performance Computing (HPC) Research and Development (R & D) Investment  

SciTech Connect (OSTI)

This study investigated how high-performance computing (HPC) investments can improve economic success and increase scientific innovation. This research focused on the common good and provided uses for DOE, other government agencies, industry, and academia. The study created two unique economic models and an innovation index: 1 A macroeconomic model that depicts the way HPC investments result in economic advancements in the form of ROI in revenue (GDP), profits (and cost savings), and jobs. 2 A macroeconomic model that depicts the way HPC investments result in basic and applied innovations, looking at variations by sector, industry, country, and organization size. ? A new innovation index that provides a means of measuring and comparing innovation levels. Key findings of the pilot study include: IDC collected the required data across a broad set of organizations, with enough detail to create these models and the innovation index. The research also developed an expansive list of HPC success stories.

Joseph, Earl C.; Conway, Steve; Dekate, Chirag

2013-09-30T23:59:59.000Z

415

Simplified Approach for Estimating Impacts of Electricity Generation  

Open Energy Info (EERE)

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

416

Marketing "Honor Killing" Memoirs: Confronting Western Depictions of Muslim Women  

E-Print Network [OSTI]

Postcolonial Exotic: Marketing the Margins. New York:of cultural expression. Marketing the Margins as ExoticHuggan抯 analysis about 搈arketing the exotic in his book,

Pazargadi, Leila

2010-01-01T23:59:59.000Z

417

Extreme wave height estimation for ocean engineering applications in the Gulf of Mexico  

E-Print Network [OSTI]

updated estimates of the 100-year extreme wave conditions for the entire Gulf of Mexico using a more comprehensive approach. First, the applicability of standard parametric wind models was examined and appropriate adjustments to the Rankine vortex model...

Jeong, Chan Kwon

2012-07-16T23:59:59.000Z

418

Monte Carlo method for estimating backflashover rates on high voltage transmission lines  

Science Journals Connector (OSTI)

Abstract This paper presents a novel Monte-Carlo based model for the analysis of backflashover rate (BFOR) on high voltage transmission lines. The proposed model aims to take into the account following aspects of the BFOR phenomenon: transmission line (TL) route keraunic level(s), statistical depiction of lightning-current parameters (including statistical correlation), electrogeometric model of lightning attachment, frequency-dependence of TL parameters and electromagnetic coupling effects, tower geometry and surge impedance, tower grounding impulse impedance (with soil ionization), lightning-surge reflections from adjacent towers, non-linearity of the insulator strings flashover characteristic, distribution of lightning strokes along the TL span and power frequency voltage. In the analysis of the BFOR, special attention is given to the influences emanating from the insulator strings flashover characteristic and lightning statistics. The model could be applied to the transmission line as a whole or some of its portions, e.g. first several towers emanating from the substation or several towers crossing a mountain ridge.

Petar Sarajcev

2015-01-01T23:59:59.000Z

419

7 - Estimation of Radiation Doses  

Science Journals Connector (OSTI)

Abstract Radiation doses to the Japanese population from inhalation of contaminated air, external irradiation, terrestrial and marine food contamination are estimated and compared with other sources of anthropogenic (global fallout, Chernobyl accident), natural (radionuclides in food, cosmic radiation) and medical applications (X-ray tests, CT-tests, etc.) of ionizing radiation. The estimated doses from inhalation, ingestion of terrestrial and marine food, and radiation exposure from radioactive clouds and deposited radionuclides were generally below the levels which could cause health damage of the Japanese population, as well as of the world population. The estimated total radiation doses to fish and shellfish in coastal waters during the largest radionuclide releases were by a factor of 10 lower than the baseline safe level postulated for the marine organisms, therefore no harmful effects are expected for the marine ecosystem as well.

Pavel P. Povinec; Katsumi Hirose; Michio Aoyama

2013-01-01T23:59:59.000Z

420

Estimated Cost Description Determination Date:  

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

and posted 2/10/2011 and posted 2/10/2011 *Title, Location Estimated Cost Description Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain $50,000 FONSI: uncertain Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $70,000 Attachment: Memo, Moody to Marcinowski, III, SUBJECT: NEPA 2011 APS for DOE-SRS, Dated: Annual NEPA Planning Summary Environmental Assessments (EAs) Expected to be Initiated in the Next 12 Months Department of Energy (DOE) Savannah River Site (SRS) Jan-11 Estimated Schedule (**NEPA Milestones) South Carolina Department of Health and Environmental Control (SCDHEC) issued a National Pollutant Discharge Elimination System (NPDES) Industrial Stormwater General Permit (IGP) # SCR000000 November 12, with an effective date of January

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

Development of surface mine cost estimating equations  

SciTech Connect (OSTI)

Cost estimating equations were developed to determine capital and operating costs for five surface coal mine models in Central Appalachia, Northern Appalachia, Mid-West, Far-West, and Campbell County, Wyoming. Engineering equations were used to estimate equipment costs for the stripping function and for the coal loading and hauling function for the base case mine and for several mines with different annual production levels and/or different overburden removal requirements. Deferred costs were then determined through application of the base case depreciation schedules, and direct labor costs were easily established once the equipment quantities (and, hence, manpower requirements) were determined. The data points were then fit with appropriate functional forms, and these were then multiplied by appropriate adjustment factors so that the resulting equations yielded the model mine costs for initial and deferred capital and annual operating cost. (The validity of this scaling process is based on the assumption that total initial and deferred capital costs are proportional to the initial and deferred costs for the primary equipment types that were considered and that annual operating cost is proportional to the direct labor costs that were determined based on primary equipment quantities.) Initial capital costs ranged from $3,910,470 in Central Appalachia to $49,296,785; deferred capital costs ranged from $3,220,000 in Central Appalachia to $30,735,000 in Campbell County, Wyoming; and annual operating costs ranged from $2,924,148 in Central Appalachia to $32,708,591 in Campbell County, Wyoming. (DMC)

Not Available

1980-09-26T23:59:59.000Z

422

Dose estimates in a loss of lead shielding truck accident.  

SciTech Connect (OSTI)

The radiological transportation risk & consequence program, RADTRAN, has recently added an updated loss of lead shielding (LOS) model to it most recent version, RADTRAN 6.0. The LOS model was used to determine dose estimates to first-responders during a spent nuclear fuel transportation accident. Results varied according to the following: type of accident scenario, percent of lead slump, distance to shipment, and time spent in the area. This document presents a method of creating dose estimates for first-responders using RADTRAN with potential accident scenarios. This may be of particular interest in the event of high speed accidents or fires involving cask punctures.

Dennis, Matthew L.; Osborn, Douglas M.; Weiner, Ruth F.; Heames, Terence John (Alion Science & Technology Albuquerque, NM)

2009-08-01T23:59:59.000Z

423

Efficient Semiparametric Estimators for Biological, Genetic, and Measurement Error Applications  

E-Print Network [OSTI]

. . . . . . . . . . . . . . . . . . 40 3.6 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 IV SEMIPARAMETRIC ESTIMATION FOR CENSORED MIX- TURE DATA WITH APPLICATION TO THE COOPERATIVE HUNTINGTON扴 OBSERVATIONAL RESEARCH TRIAL . . . . 44 CHAPTER ix Page 4...(穦X,Z) under the known pW |X,Z and the proposed ?1, ?2 models, then solve for d(X,Y, Z) from (2.2). 3. Form the score vector S(W,Y, Z; ?, ?1, ?2) = K(d) by calculating K under the pro- posed ?1 model. 4. Solve the estimating equation ?n i=1 S(Wi, Yi, Zi...

Garcia, Tanya

2012-10-19T23:59:59.000Z

424

Atmospheric Inverse Estimates of Methane Emissions from Central California  

SciTech Connect (OSTI)

Methane mixing ratios measured at a tall-tower are compared to model predictions to estimate surface emissions of CH{sub 4} in Central California for October-December 2007 using an inverse technique. Predicted CH{sub 4} mixing ratios are calculated based on spatially resolved a priori CH{sub 4} emissions and simulated atmospheric trajectories. The atmospheric trajectories, along with surface footprints, are computed using the Weather Research and Forecast (WRF) coupled to the Stochastic Time-Inverted Lagrangian Transport (STILT) model. An uncertainty analysis is performed to provide quantitative uncertainties in estimated CH{sub 4} emissions. Three inverse model estimates of CH{sub 4} emissions are reported. First, linear regressions of modeled and measured CH{sub 4} mixing ratios obtain slopes of 0.73 {+-} 0.11 and 1.09 {+-} 0.14 using California specific and Edgar 3.2 emission maps respectively, suggesting that actual CH{sub 4} emissions were about 37 {+-} 21% higher than California specific inventory estimates. Second, a Bayesian 'source' analysis suggests that livestock emissions are 63 {+-} 22% higher than the a priori estimates. Third, a Bayesian 'region' analysis is carried out for CH{sub 4} emissions from 13 sub-regions, which shows that inventory CH{sub 4} emissions from the Central Valley are underestimated and uncertainties in CH{sub 4} emissions are reduced for sub-regions near the tower site, yielding best estimates of flux from those regions consistent with 'source' analysis results. The uncertainty reductions for regions near the tower indicate that a regional network of measurements will be necessary to provide accurate estimates of surface CH{sub 4} emissions for multiple regions.

Zhao, Chuanfeng; Andrews, Arlyn E.; Bianco, Laura; Eluszkiewicz, Janusz; Hirsch, Adam; MacDonald, Clinton; Nehrkorn, Thomas; Fischer, Marc L.

2008-11-21T23:59:59.000Z

425

A comparison of groundwater recharge estimation methods in the Williston and Powder River structural basins in the Northern Great Plains  

E-Print Network [OSTI]

A comparison of groundwater recharge estimation methods in the Williston and Powder River-water-balance (SWB) model to estimate groundwater recharge in the Williston and Powder River structural basins

Torgersen, Christian

426

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

E-Print Network [OSTI]

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

Fedrigo, Melissa

2009-11-26T23:59:59.000Z

427

Estimate sequence methods: extensions and approximations  

E-Print Network [OSTI]

Aug 11, 2009 ... Estimate sequence methods: extensions and approximations ... or both, and draw some guidelines on the design of further estimate sequence...

Michel Baes

2009-08-11T23:59:59.000Z

428

BPA Metering Services Editing and Estimating Procedures  

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

Editing and Estimating Interval Data 1. Introduction This section defines the meter interval data editing and estimation techniques performed by BPA's Metering Services...

429

ORISE: Radiation Dose Estimates and Other Compendia  

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

downloaded free from the Adobe website. Early Internal and External Dose Magnitude Estimation (PDF) This article addresses methods that can be used to rapidly estimate internal...

430

Mississippi Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Mississippi Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

431

California Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) California Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

432

Pennsylvania Crude Oil + Lease Condensate Estimated Production...  

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

Estimated Production from Reserves (Million Barrels) Pennsylvania Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

433

Estimating Waste Inventory and Waste Tank Characterization |...  

Office of Environmental Management (EM)

Estimating Waste Inventory and Waste Tank Characterization Estimating Waste Inventory and Waste Tank Characterization Summary Notes from 28 May 2008 Generic Technical Issue...

434

GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process  

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

GAO Cost Estimating and Assessment Guide GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process Step Description Associated task 1 Define estimate's purpose Determine estimate's purpose, required level of detail, and overall scope; Determine who will receive the estimate 2 Develop estimating plan Determine the cost estimating team and develop its master schedule; Determine who will do the independent cost estimate; Outline the cost estimating approach; Develop the estimate timeline 3 Define program characteristics In a technical baseline description document, identify the program's

435

Satellite orbit and attitude estimation using three-axis magnetometer  

Science Journals Connector (OSTI)

The determination of satellite orbital and attitude position and velocity from measurement of a single earth magnetic field (emf) vector without additional measurements, but using a state estimator, is a challenging problem. It is not obvious from first glance whether a solution exists at all - whether the problem is observable with the measurement of only a single emf vector, and an analysis is necessary. This paper performs this analysis for a simple linear system model. Almost circular low earth nearly polar orbits and a dipole emf model are considered. Although these are rather restrictive assumptions they nevertheless provide considerable insight. Both a purely algebraic situation as well as dynamic estimation are studied. It is shown that if the emf induction vector magnitude is used to estimate satellite orbit (position and velocity) and its three projections are used to estimate the attitude, that the situation is sufficiently observable for orbit and attitude determination using just magnetometer measurements. However, for nearly polar orbits, longitude and east velocity are difficult to estimate due to weak observability, and estimation convergence time can be lengthy with poor accuracy.

Y. Kim; G. Vukovich

2014-01-01T23:59:59.000Z

436

Methodology for reconstruction of historical food consumption estimates  

SciTech Connect (OSTI)

This report was written to provide the food consumption methodology to be used in the Hanford Environmental Dose Reconstruction (HDER) Project beyond Phase I (which ended in July 1990). In Phase I (Callaway 1992), baseline food consumption estimates (grams per day) for 10 primary food types in the original 10-county study region were derived from the 1977--1978 National Food Consumption Survey (USDA 1983). The baseline estimates were multiplied by the 1945:1977 ratios to produce consumption estimates for 1945. This ratio backcasting method used in Phase I to project consumption estimates from 1977 back to 1945 will be refined using additional USDA data to improve and document the acceptability of the ratios for deriving backcast consumption estimates. The number of food types and population groups will be expanded to provide more disaggregated estimates of food consumption. Food consumption estimates will be developed for 1945, 1951, and 1957. A database of individual diets will be created from which daily diets will be randomly selected for use in the dose model to calculate doses for reference individuals.

Anderson, D.M.

1992-05-01T23:59:59.000Z

437

Cost Estimates for New Molecules  

Science Journals Connector (OSTI)

Cost Estimates for New Molecules ... Once this has been carried out, the projected cost/kilogram for the new drug substance (if only raw material costs and no manufacturing/overhead/labour costs are considered) may well come down by a factor of 10 or even 100, and this is often more acceptable to management trying to make strategic decisions about potential profitability. ...

Trevor Laird

2005-02-22T23:59:59.000Z

438

Characterization Of State Estimation Biases  

Science Journals Connector (OSTI)

The control and operation of an electric power system is based on the ability to determine the state of the system in real time. State estimation (SE) has been introduced in the 1960s to achieve this objective. The initial implementation was based on ...

A. P. Sakis Meliopoulos; George K. Stefopoulos

2006-01-01T23:59:59.000Z

439

Trades Estimate Guide September, 2013  

E-Print Network [OSTI]

labor hours are provided using "industry standard" hours. Each trade has an hourly recharge rate. Here are a few examples of why our shops estimates may be considered high. HVAC & SHEET METAL 路 In the HVAC area. This work can include: required engineering and design, new HVAC equipment to accommodate design

Rose, Michael R.

440

ERROR ESTIMATIONS FOR INDIRECT MEASUREMENTS  

E-Print Network [OSTI]

Chapter 1 ERROR ESTIMATIONS FOR INDIRECT MEASUREMENTS: RANDOMIZED VS. DETERMINISTIC ALGORITHMS difficult or even impossible to directly measure the quantity in which we are interested: e.g., we cannot directly measure a distance to a distant galaxy or the amount of oil in a given well. Since we cannot

Kreinovich, Vladik

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

2012 Proved Reserves Estimation Methodology  

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

-366 11,933 Estimated 818 124 759 0 0 19 0 0 236 1,693 1,658 Imputation for nonresponse Unit and item nonresponse on the EIA-23 is imputed for using the same ratio function that is...

442

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED  

E-Print Network [OSTI]

HYPERPARAMETER ESTIMATION FOR EMISSION COMPUTED TOMOGRAPHY DATA A. L贸pez (a) , R. Molina (b) (a limited due to several factors. These factors include the need of greater computational time than to the projection data to obtain two-dimensional slices or cross sections (images) of activity distribution. #12

Granada, Universidad de

443

The Greenhouse Gas Protocol Initiative: Measurement and Estimation of  

Open Energy Info (EERE)

The Greenhouse Gas Protocol Initiative: Measurement and Estimation of The Greenhouse Gas Protocol Initiative: Measurement and Estimation of Uncertainty of GHG Emissions Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Greenhouse Gas Protocol Initiative: Measurement and Estimation of Uncertainty of GHG Emissions Agency/Company /Organization: World Resources Institute, World Business Council for Sustainable Development Sector: Energy, Climate Focus Area: Greenhouse Gas Phase: Determine Baseline, Evaluate Effectiveness and Revise as Needed Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.ghgprotocol.org/calculation-tools/all-tools Cost: Free References: GHG Uncertainty Guide[1] The Greenhouse Gas Protocol Uncertainty Tool is designed to facilitate a quantitative and qualitative estimation of uncertainty associated with a

444

Preliminary relative permeability estimates of methanehydrate-bearing sand  

SciTech Connect (OSTI)

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

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

2006-05-08T23:59:59.000Z

445

Preliminary relative permeability estimates of methanehydrate-bearing sand  

SciTech Connect (OSTI)

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

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

2006-05-08T23:59:59.000Z

446

An Estimate of Biofilm Properties using an Acoustic Microscope  

SciTech Connect (OSTI)

Noninvasive measurements over a biofilm, a three-dimensional community of microorganisms immobilized at a substratum, were made using an acoustic microscope operating at frequencies up to 70 MHz. Spatial variation of surface heterogeneity, thickness, interior structure, and biomass of a living biofilm was estimated over a 2.5-mm by 2.5-mm region. Ultrasound based estimates of thickness were corroborated using optical microscopy and the nominal biofilm thickness was 100 microns. Experimental data showed that the acoustic microscope combined with signal processing was capable of imaging and making quantitative estimates of the spatial distribution of biomass within the biofilm. The revealed surface topology and interior structure of the biofilm provide data for use in advanced biofilm mass transport models. The experimental acoustic and optical systems, methods to estimate of biofilm properties and potential applications for the resulting data are discussed.

Good, Morris S.; Wend, Christopher F.; Bond, Leonard J.; Mclean, Jeffrey S.; Panetta, Paul D.; Ahmed, Salahuddin; Crawford, Susan L.; Daly, Don S.

2006-09-01T23:59:59.000Z

447

VEHICLE STATE ESTIMATION USING VISION AND INERTIAL MEASUREMENTS  

E-Print Network [OSTI]

, pitch and yaw. A kinematic Kalman filter modeling an inertial navigation system then uses the scene: A novel method for estimating vehicle roll, pitch and yaw using machine vision and inertial sensors versus those from a high-quality GPS/INS system. Keywords: Terrain Aided Localization, Inertial

Brennan, Sean

448

Rank Estimation in ReducedRank Regression Efstathia Bura  

E-Print Network [OSTI]

Rank Estimation in Reduced颅Rank Regression Efstathia Bura Department of Statistics, The George, University of Minnesota, St. Paul, MN 55108 E颅mail: dennis@stat.umn.edu Reduced rank regression assumes that the coe#cient matrix in a multi颅 variate regression model is not of full rank. The unknown rank

Bura, Efstathia

449

Automatic weight estimation of individual pigs using image analysis  

Science Journals Connector (OSTI)

Health is a key element in pig welfare and steady weight gain is considered an indicator of good health and productivity. However, many diseases such as diarrhoea cause a substantial reduction in food intake and weight gain in pigs. Therefore, continuous ... Keywords: Automated image processing, Ellipse fitting, Pig weight estimation, Top-view body area, Transfer function modelling

Mohammadamin Kashiha, Claudia Bahr, Sanne Ott, Christel P. H. Moons, Theo A. Niewold, Frank O. 謉berg, Daniel Berckmans

2014-09-01T23:59:59.000Z

450

Robust Data-Driven State Estimation for Smart Grid  

E-Print Network [OSTI]

aims to produce a real-time"snapshot"model for the network. Therefore, a grand challenge to the newly, such as intermittent wind power generation or in-consecutive vehicle charging. Mathematically, such estimation problems-convex, current solvers, for instance the ones implementing the Newton's method, for these problems often achieve

Sadeh, Norman M.

451

Estimating terrestrial uranium and thorium by antineutrino flux measurements  

E-Print Network [OSTI]

of uranium and thorium concentrations in geological reservoirs relies largely on geochemi- cal modelEstimating terrestrial uranium and thorium by antineutrino flux measurements Stephen T. Dye, and approved November 16, 2007 (received for review July 11, 2007) Uranium and thorium within the Earth produce

Mcdonough, William F.

452

Motorcycle Riding Simulator: How to Estimate Robustly the Rider's Action?  

E-Print Network [OSTI]

1 Motorcycle Riding Simulator: How to Estimate Robustly the Rider's Action? Lamri Nehaoua, Hichem Arioui and Said Mammar Abstract This paper deals with a motorcycle riding simulator and addresses two key. The reconstructed torque is used as the main control of the virtual motorcycle dynamic model, in order to actuate

Paris-Sud XI, Universit茅 de

453

Measurement enhancement for state estimation  

E-Print Network [OSTI]

, the control center receives the system-wide device information and measurement data through the Supervisory Control and Data Acquisition (SCADA) system. However, the information and measurement data provided by SCADA may not always be accurate and reliable... estimation use the measurement data from SCADA system, the status information about the circuit breakers (CB), switches and transformer taps, as well as the parameters of transmission lines, transformers, shunts capacitors/reactors and other devices...

Chen, Jian

2009-05-15T23:59:59.000Z

454

Solar sky radiation estimation techniques  

SciTech Connect (OSTI)

Empirical correlations suggested by various authors, for estimating monthly mean daily diffuse irradiation, are compared statistically to test their applicability to the southern African region. The correlations are compared by calculating root mean square error, mean bias error and mean percentage error. The correlations suggested by Gopinathan and Gladius Lewis are found to be most accurate for the southern African region. Equations suggested by Iqbal give poor results and cannot be employed for the region.

Gopinathan, K.K. (National Univ. of Lesotho, Roma (South Africa))

1992-07-01T23:59:59.000Z

455

Petroleum Market Model of the National Energy Modeling System. Part 2  

SciTech Connect (OSTI)

This report contains the following: Bibliography; Petroleum Market Model abstract; Data quality; Estimation methodologies (includes refinery investment recovery thresholds, gas plant models, chemical industry demand for methanol, estimation of refinery fixed costs, estimation of distribution costs, estimation of taxes gasoline specifications, estimation of gasoline market shares, estimation of low-sulfur diesel market shares, low-sulfur diesel specifications, estimation of regional conversion coefficients, estimation of SO{sub 2} allowance equations, unfinished oil imports methodology, product pipeline capacities and tariffs, cogeneration methodology, natural gas plant fuel consumption, and Alaskan crude oil exports); Matrix generator documentation; Historical data processing; and Biofuels supply submodule.

NONE

1997-12-18T23:59:59.000Z

456

Estimating photometric redshifts with artificial neural networks  

E-Print Network [OSTI]

A new approach to estimating photometric redshifts - using Artificial Neural Networks (ANNs) - is investigated. Unlike the standard template-fitting photometric redshift technique, a large spectroscopically-identified training set is required but, where one is available, ANNs produce photometric redshift accuracies at least as good as and often better than the template-fitting method. The Bayesian priors on the underlying redshift distribution are automatically taken into account. Furthermore, inputs other than galaxy colours - such as morphology, angular size and surface brightness - may be easily incorporated, and their utility assessed. Different ANN architectures are tested on a semi-analytic model galaxy catalogue and the results are compared with the template-fitting method. Finally the method is tested on a sample of ~ 20000 galaxies from the Sloan Digital Sky Survey. The r.m.s. redshift error in the range z < 0.35 is ~ 0.021.

Andrew E. Firth; Ofer Lahav; Rachel S. Somerville

2002-03-15T23:59:59.000Z

457

Estimating the potential of ocean wave power resources  

Science Journals Connector (OSTI)

The realistic assessment of an ocean wave energy resource that can be converted to an electrical power at various offshore sites depends upon many factors, and these include estimating the resource recognizing the random nature of the site-specific wave field, and optimizing the power conversion from particular wave energy conversion devices. In order to better account for the uncertainty in wave power resource estimates, conditional probability distribution functions of wave power in a given sea-state are derived. Theoretical expressions for the deep and shallow water limits are derived and the role of spectral width is studied. The theoretical model estimates were compared with the statistics obtained from the wave-by-wave analysis of JONSWAP based ocean wave time-series. It was shown that the narrow-band approximation is appropriate when the variability due to wave period is negligible. The application of the short-term models in evaluating the long-term wave power resource at a site was illustrated using wave data measured off the California coast. The final example illustrates the procedure for incorporating the local wave data and the sea-state model together with a wave energy device to obtain an estimate of the potential wave energy that could be converted into a usable energy resource.

Amir H. Izadparast; John M. Niedzwecki

2011-01-01T23:59:59.000Z

458

Position Estimation of a Parametrically Driven Optomechanical System  

E-Print Network [OSTI]

We study the position estimation of a mechanical oscillator undergoing both detuned parametric amplification and continuous quantum measurement. This model, which can be utilised to produce squeezed states, is applied to a general optoelectromechanical system. Using a stochastic master equation formalism, we derive general formulae for the reduction in position uncertainty of one quadrature of motion. The filter for extracting the optimal position estimate from the measurement record is derived. We also find that since this scheme does not work far into the back-action dominated regime, implementing resolved-sideband cooling improves the squeezing only marginally.

Alex Szorkovszky; Andrew C. Doherty; Glen I. Harris; Warwick P. Bowen

2012-08-03T23:59:59.000Z

459

14 - Estimating Water, Energy, and燙arbon Footprints of燫esidential Swimming Pools  

Science Journals Connector (OSTI)

Abstract This chapter demonstrates the development and application of a model as a tool to assess and compare the environmental impacts of residential swimming pools. To demonstrate the applicability and dependability of this model as an assessment, planning, and management tool, realistic scenarios were employed to estimate and compare water, energy, and carbon footprints of residential swimming pools located in Maricopa County (Phoenix metropolitan area, Arizona) and colder climates. The estimated water footprints of the modeled residential swimming pools range from 45爉3/year to 185爉3/year/pool, while the estimated energy footprints range between 2400 and 2800爇Wh/year/pool. The carbon footprint of the modeled pools was estimated to be 1400牨50爇g燙O2e/year/pool. In the absence of direct measurements, development and utilization of simple models to assess and predict water consumption proves to be an invaluable instrument that should be part of a versatile water management toolkit.

Tyler Gallion; Tyler Harrison; Robert Hulverson; Kiril Hristovski

2014-01-01T23:59:59.000Z

460

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation  

E-Print Network [OSTI]

Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information Criterion Probabilities and Statistical Estimation Chapter 3 University of Amsterdam #12;Probability distributions Statistical Estimation Kalman Filter Fisher Information Matrix Akaike Information

Dorst, Leo

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

Fission fizzles: Estimating the yield of a predetonated nuclear weapon  

Science Journals Connector (OSTI)

An undergraduate-level model is developed for estimating the fraction of the design yield that can be realized if a uranium or a plutonium fission bomb suffers an uncontrolled predetonation due to a spontaneous fission of the fissile material. The model is based on the combination of one published earlier for the predetonation probability and a yield model developed by Mark et al. [揈xplosive properties of reactor-grade plutonium Sci. Global Secur.17 (2) 170185 (2009); a reprint of the same paper published in Sci. Global Secur.4 (1) 111128 (1993)].

B. Cameron Reed

2011-01-01T23:59:59.000Z

462

Precipitable water structure in tropical systems as estimated from TOVS  

E-Print Network [OSTI]

and OLR . . . 28 67 85 6. Annual and semi-annual cycle effect estimates for selected areas . . . 89 LIST OF FIGURES Figure Page 1. PW fields from three models for 8 Feb 1988. Contour intervals are. 5 cm. . 34 2. PW fields from three models for 10... Feb 1988. Contour intervals are. 5 cm. 35 3. PW field for 9 Jan 1988. Contour intervals are . 5 cm. . 37 4. OLR field for 9 Jan 1988. Contour intervals are 25 Wm-2. . . . 38 5. PW fields from three models for 15 Aug 1990. Contour intervals are . 5...

Hatfield, Eric

2012-06-07T23:59:59.000Z

463

Estimation of simultaneous systems of spatially interrelated cross sectional equations  

Science Journals Connector (OSTI)

In this paper we consider a simultaneous system of spatially interrelated cross sectional equations. Our specification incorporates spatial lags in the endogenous and exogenous variables. In modelling the disturbance process we allow for both spatial correlation as well as correlation across equations. The data set is taken to be a single cross section of observations. The model may be viewed as an extension of the widely used single equation Cliff-Ord model. We suggest computationally simple limited and full information instrumental variable estimators for the parameters of the system and give formal large sample results.

Harry H. Kelejian; Ingmar R. Prucha

2004-01-01T23:59:59.000Z

464

Improved computer models support genetics research  

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

February 禄 February 禄 Simple computer models unravel genetic stress reactions in cells Simple computer models unravel genetic stress reactions in cells Integrated biological and computational methods provide insight into why genes are activated. February 8, 2013 When complete, these barriers will be a portion of the NMSSUP upgrade. This molecular structure depicts a yeast transfer ribonucleic acid (tRNA), which carries a single amino acid to the ribosome during protein construction. A combined experimental and computational approach, to better understand signaling pathways that lead to genetic mutations, is at the core of this research. Contact thumbnail of Brian Munsky, PhD Distinguished Postdoctoral Fellow Brian Munsky, PhD Information Services, Advanced Measurement Science

465

Water flow processes in a soil column with a cylindrical macropore: Experiment and hierarchical modeling  

E-Print Network [OSTI]

interdomain water transfer could be estimated using mass balance calculations. In a hierarchical modeling

Mohanty, Binayak P.

466

Hydrogen Production Cost Estimate Using Biomass Gasification  

E-Print Network [OSTI]

Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory% postconsumer waste #12;i Independent Review Panel Summary Report September 28, 2011 From: Independent Review Panel, Hydrogen Production Cost Estimate Using Biomass Gasification To: Mr. Mark Ruth, NREL, DOE

467

Challenges in estimating waste confinement costs  

SciTech Connect (OSTI)

This paper presents a systems analysis framework for cost estimating and outlines the challenges likely to be confronted during the cost estimating and data base development process. 1 ref., 8 figs.

Rivera, A.L.

1990-01-01T23:59:59.000Z

468

On coherence in parametric density estimation  

Science Journals Connector (OSTI)

......1990 research-article Miscellanea On coherence in parametric density estimation J...KullbackLeibler directed divergence has this coherence property whereas the corresponding symmetric...estimation is also discussed. Admissibility|Coherence|Kullback-Leibler divergence|Predictive......

J. AITCHISON

1990-12-01T23:59:59.000Z

469

Estimating UV Index Climatology over Canada  

Science Journals Connector (OSTI)

Hourly UV index values at 45 sites in Canada were estimated using a statistical relationship between UV irradiance and global solar radiation, total ozone, and dewpoint temperature. The estimation method also takes into account the enhancement of ...

V. E. Fioletov; J. B. Kerr; L. J. B. McArthur; D. I. Wardle; T. W. Mathews

2003-03-01T23:59:59.000Z

470

HANFORD RIVER PROTECTION PROJECT ENHANCED MISSION PLANNING THROUGH INNOVATIVE TOOLS LIFECYCLE COST MODELING AND AQUEOUS THERMODYNAMIC MODELING - 12134  

SciTech Connect (OSTI)

Two notable modeling efforts within the Hanford Tank Waste Operations Simulator (HTWOS) are currently underway to (1) increase the robustness of the underlying chemistry approximations through the development and implementation of an aqueous thermodynamic model, and (2) add enhanced planning capabilities to the HTWOS model through development and incorporation of the lifecycle cost model (LCM). Since even seemingly small changes in apparent waste composition or treatment parameters can result in large changes in quantities of high-level waste (HLW) and low-activity waste (LAW) glass, mission duration or lifecycle cost, a solubility model that more accurately depicts the phases and concentrations of constituents in tank waste is required. The LCM enables evaluation of the interactions of proposed changes on lifecycle mission costs, which is critical for decision makers.

PIERSON KL; MEINERT FL

2012-01-26T23:59:59.000Z

471

Highly Automated Dipole EStimation , A. Pascarella2  

E-Print Network [OSTI]

filter, HADES (Highly Automatic Dipole EStimation). HADES is an open-source, freely downloadable, Matlab-based

Piana, Michele

472

ARM - Evaluation Product - Radiatively Important Parameters Best Estimate  

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

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

473

2010 Small Area Health Insurance Estimates (SAHIE) Interactive Data and  

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

2010 Small Area Health Insurance Estimates (SAHIE) Interactive Data and 2010 Small Area Health Insurance Estimates (SAHIE) Interactive Data and Mapping Tool Consumer Data Apps Challenges Resources About Blogs Let's Talk Feedback Consumer You are here Data.gov 禄 Communities 禄 Consumer 禄 Data 2010 Small Area Health Insurance Estimates (SAHIE) Interactive Data and Mapping Tool Dataset Summary Description The Interactive Data and Mapping Tool provides users a way to access all post-2005 SAHIE data; in multiple formats; in a sleek, organized, and innovative way. Currently, data can be downloaded as a Pdf, CSV or screenshot. Tags {"small area",model,"health insurance",uninsured,"interactive maps","interactive data"} Dataset Ratings Overall 0 No votes yet Data Utility 0 No votes yet Usefulness 0 No votes yet

474

Estimating Mitigation Potential of Agricultural Projects: an Application of  

Open Energy Info (EERE)

Estimating Mitigation Potential of Agricultural Projects: an Application of Estimating Mitigation Potential of Agricultural Projects: an Application of the EX-Ante Carbon-balance Tool (EX-ACT) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Brazil-Estimating Mitigation Potential of Agricultural Projects: an Application of the EX-Ante Carbon-balance Tool (EX-ACT) Agency/Company /Organization: Food and Agriculture Organization of the United Nations Sector: Energy, Land Focus Area: Agriculture Topics: Co-benefits assessment, GHG inventory, Implementation, Policies/deployment programs Resource Type: Publications, Software/modeling tools User Interface: Spreadsheet Website: www.fao.org/tc/exact/ex-act-tool/en/ Country: Brazil RelatedTo: Ex Ante Appraisal Carbon-Balance Tool (EX-ACT) Cost: Free South America Coordinates: -14.235004掳, -51.92528掳

475

Statistical Exposure Estimation Spatial Confounding Bias  

E-Print Network [OSTI]

, and 3 Account for spatial correlation in the health outcome data. Applications include air pollution Epidemiology Estimates of chronic health effects of air pollution are identified from cross-sectional (i Exposure Estimation Methods for Air Pollution Often researchers estimate ambient concentrations and use

Paciorek, Chris

476

Estimated Ultraviolet Radiation Doses in Wetlands in  

E-Print Network [OSTI]

Estimated Ultraviolet Radiation Doses in Wetlands in Six National Parks Stephen A. Diamond,1 ABSTRACT Ultraviolet-B radiation (UV-B, 280颅320-nm wave- lengths) doses were estimated for 1024 wetlands of vegetative features, and quantification of DOC concentration and spectral absorbance. UV-B dose estimates

Knapp, Roland

477

Estimating fare and expenditure elasticities of demand for air travel in the U.S. domestic market  

E-Print Network [OSTI]

Page 21 Estimation Results of Leisure Travelers: Markets with Three Airlines??.. 88 22 Estimation Results of Business Travelers: Markets with Three Airlines?.... 91 23 Estimation Results of Leisure Travelers: Markets... of different modes of transportation. Mostly, mode-choice studies are conducted using the discrete choice model, and the estimation is carried out for a given volume of trips or traffic among modes. Also, the mode-choice elasticity does not consider...

Alwaked, Ahmad Abdelrahman Fahed

2007-04-25T23:59:59.000Z

478

ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF)  

SciTech Connect (OSTI)

This data set was created for the Climate Science for a Sustainable Energy Future (CSSEF) model testbed project and is an extension of the hourly average ARMBE dataset to other extended facility sites and to include uncertainty estimates. Uncertainty estimates were needed in order to use uncertainty quantification (UQ) techniques with the data.

Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

2014-06-12T23:59:59.000Z

479

Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video  

Science Journals Connector (OSTI)

In this paper, we present a probabilistic multi-task learning approach for visual saliency estimation in video. In our approach, the problem of visual saliency estimation is modeled by simultaneously considering the stimulus-driven and task-related factors ... Keywords: Multi-task learning, Probabilistic framework, Visual saliency, Visual search tasks

Jia Li; Yonghong Tian; Tiejun Huang; Wen Gao

2010-11-01T23:59:59.000Z

480

Using daily satellite observations to estimate emissions of short-lived  

E-Print Network [OSTI]

Chapter 4 Using daily satellite observations to estimate emissions of short-lived air pollutants on a mesoscopic scale Abstract Emission inventories of air pollutants are crucial information for pol- icy makers and form important input data for air quality models. Using satellite observations for emission estimates

Haak, Hein

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

Estimating biomass on CRP pastureland: A comparison of remote sensing techniques  

E-Print Network [OSTI]

Estimating biomass on CRP pastureland: A comparison of remote sensing techniques Tucker F. Porter Accepted 31 January 2014 Available online 21 February 2014 Keywords: Biomass estimation model NDVI Bandwise regression Crop circle sensor Landsat imagery a b s t r a c t Biomass from land enrolled in the Conservation

Lawrence, Rick L.

482

ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF)  

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

This data set was created for the Climate Science for a Sustainable Energy Future (CSSEF) model testbed project and is an extension of the hourly average ARMBE dataset to other extended facility sites and to include uncertainty estimates. Uncertainty estimates were needed in order to use uncertainty quantification (UQ) techniques with the data.

Laura Riihimaki; Krista Gaustad; Sally McFarlane

483

Impact of satellite based PAR on estimates of terrestrial net primary productivity  

E-Print Network [OSTI]

of the satellite- based estimates of PAR for modelling terrestrial primary productivity. 1. Introduction The global energy is referred to as net primary production (NPP). For terrestrial ecosystems GPP and NPP are givenImpact of satellite based PAR on estimates of terrestrial net primary productivity RACHEL T. PINKER

Montana, University of

484

Automatic noise estimation in images using local statistics. Additive and multiplicative cases  

Science Journals Connector (OSTI)

In this paper, we focus on the problem of automatic noise parameter estimation for additive and multiplicative models and propose a simple and novel method to this end. Specifically we show that if the image to work with has a sufficiently great amount ... Keywords: Gaussian noise, Local statistics, Mode, Noise estimation, Restoration

Santiago Aja-Fern醤dez; Gonzalo Vegas-S醤chez-Ferrero; Marcos Mart韓-Fern醤dez; Carlos Alberola-L髉ez

2009-05-01T23:59:59.000Z

485

Experimental Research on the Dense CFB抯 Riser and the Simulation Based on the EMMS Model  

Science Journals Connector (OSTI)

The flow structure in the CFB (circulating fluidized bed) riser has been investigated. Experimental studies were performed in a cold square section unit with 270? mm 270? mm 10? m . Since the drag force model based on homogeneous two?phase flow such as the Gidaspow drag model could not depict the heterogeneous structures of the gas?solid flow the structure?dependent energy?minimization multi?scale (EMMS) model based on the heterogenerity was applied in the paper and a revised drag force model based on the EMMS model was proposed. A 2D two?fluid model was used to simulate a bench?scale square cross?section riser of a cold CFB. The typical core?annulus structure and the back?mixing near the wall of the riser were observed and the assembly and fragmentation processes of clusters were captured. By comparing with the Gidaspow drag model the results obtained by the revised drag model based on EMMS shows better consistency with the experimental data. The model can also depict the difference from the two exit configurations. This study once again proves the key role of drag force in CFD (Computational Fluid Dynamics) simulation and also shows the availability of the revised drag model to describe the gas?solid flow in CFB risers.

X. Y. Wang; S. D. Wang; B. G. Fan; L. L. Liao; F. Jiang; X. Xu; X. Z. Wu; Y. H. Xiao

2010-01-01T23:59:59.000Z

486

Estimated Cost Description Determination Date:  

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

Title, Location Title, Location Estimated Cost Description Determination Date: 2010 LCLS Undulator 2 is envisioned to be a 0.2 - 2keV FEL x-ray source, capable of delivering x-rays to End Station A (ESA), located in the existing Research Yard at SLAC. It will also be configurable as a non- FEL hard x-ray source capable of delivering a chirped x-ray pulse for single-shot broad-spectrum measurements. The project would entail reconstruction of the electron beam transport to End Station A, construction and installation of a new undulator in the tunnel upstream of ESA and beam dump, and construction and installation of x-ray transport, optics, and diagnostics in ESA. It also includes the construction of an annex to End Station A , providing hutches for experiment stations.

487

Site characterization: a spatial estimation approach  

SciTech Connect (OSTI)

In this report the application of spatial estimation techniques or kriging to groundwater aquifers and geological borehole data is considered. The adequacy of these techniques to reliably develop contour maps from various data sets is investigated. The estimator is developed theoretically in a simplified fashion using vector-matrix calculus. The practice of spatial estimation is discussed and the estimator is then applied to two groundwater aquifer systems and used also to investigate geological formations from borehole data. It is shown that the estimator can provide reasonable results when designed properly.

Candy, J.V.; Mao, N.

1980-10-01T23:59:59.000Z

488

Incremental condition estimation for sparse matrices  

SciTech Connect (OSTI)

Incremental condition estimation provides an estimate for the smallest singular value of a triangular matrix. In particular, it gives a running estimate of the smallest singular value of a triangular factor matrix as the factor is generated one column or row at a time. An incremental condition estimator for dense matrices was originally suggested by Bischof. In this paper this scheme is generalized to handle sparse triangular matrices, especially those that are factors of sparse matrices. Numerical experiments on a variety of matrices demonstrate the reliability of this scheme in estimating the smallest singular value. A partial description of its implementation in a sparse matrix factorization code further illustrates its practicality.

Bischof, C.H. (Argonne National Lab., IL (United States)); Lewis, J.G.; Pierce, D.J. (Boeing Computer Servies, Seattle, WA (United States))

1990-10-01T23:59:59.000Z

489

Estimating household fuel oil/kerosine, natural gas, and LPG prices by census region  

SciTech Connect (OSTI)

The purpose of this research is to estimate individual fuel prices within the residential sector. The data from four US Department of Energy, Energy Information Administration, residential energy consumption surveys were used to estimate the models. For a number of important fuel types - fuel oil, natural gas, and liquefied petroleum gas - the estimation presents a problem because these fuels are not used by all households. Estimates obtained by using only data in which observed fuel prices are present would be biased. A correction for this self-selection bias is needed for estimating prices of these fuels. A literature search identified no past studies on application of the selectivity model for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas. This report describes selectivity models that utilize the Dubin/McFadden correction method for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas in the Northeast, Midwest, South, and West census regions. Statistically significant explanatory variables are identified and discussed in each of the models. This new application of the selectivity model should be of interest to energy policy makers, researchers, and academicians.

Poyer, D.A.; Teotia, A.P.S.

1994-08-01T23:59:59.000Z

490

The home-range concept: are traditional estimators still relevant with modern  

E-Print Network [OSTI]

The home-range concept: are traditional estimators still relevant with modern telemetry technology by the development of new methods of data analysis for portraying space use, home ranges and utilization generalized regression models for habitat use. In addition, mechanistic home-range models, derived from models

Mitchell, Mike

491

Emission Estimation of Heavy Duty Diesel Vehicles by Developing Texas Specific Drive Cycles with Moves  

E-Print Network [OSTI]

Driving cycles are acting as the basis of the evaluation of the vehicle performance from air quality point of view, such as fuel consumption or pollutant emission, especially in emission modeling and emission estimation. The original definition...

Gu, Chaoyi

2013-07-31T23:59:59.000Z

492

A simple method of estimating wind turbine blade fatigue at potential wind turbine sites  

SciTech Connect (OSTI)

This paper presents a technique of estimating blade fatigue damage at potential wind turbine sites. The cornerstone of this technique is a simple model for the blade`s root flap bending moment. The model requires as input a simple set of wind measurements which may be obtained as part of a routine site characterization study. By using the model to simulate a time series of the root flap bending moment, fatigue damage rates may be estimated. The technique is evaluated by comparing these estimates with damage estimates derived from actual bending moment data; the agreement between the two is quite good. The simple connection between wind measurements and fatigue provided by the model now allows one to readily discriminate between damaging and more benign wind environments.

Barnard, J.C.; Wendell, L.L.

1995-06-01T23:59:59.000Z

493

Cost of capital estimation for energy efficiency projects through a cash flow beta approach  

Science Journals Connector (OSTI)

This paper presents a methodological framework for project beta estimation according to the Capital Asset Pricing Model (CAPM) when relevant ... monthly residential retail price data for electricity, natural gas,...

Gy鰎gy Andor; Marcell D黮k

2014-09-01T23:59:59.000Z

494

On Energy for Progressive and Consensus Estimation in Multihop Sensor Networks  

E-Print Network [OSTI]

energy and power plan- ning, multihop sensor networks, network with routing tree,with routing tree. Using the exact energy model and takingenergy planning algorithm for a progressive estimation method which exploits routing tree

Huang, Yi; Hua, Yingbo

2011-01-01T23:59:59.000Z

495

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

E-Print Network [OSTI]

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

Bakku, Sudhish Kumar

2011-01-01T23:59:59.000Z

496

FY 2011 Third Quarter Report Estimate of Historical Aerosol Direct and Indirect Effects  

SciTech Connect (OSTI)

The global and annual mean aerosol direct and indirect effects estimated from Community Earth System Model (CESM) simulations are -0.06 W m-2 and -1.39 W m-2, respectively.

Koch, D

2011-06-22T23:59:59.000Z

497

The southern ocean meridional overturning circulation as diagnosed from an eddy permitting state estimate  

E-Print Network [OSTI]

A modern general circulation model of the Southern Ocean with one-sixth of a degree resolution is optimized to the observed ocean in a weighted least squares sense. Convergence to the state estimate solution is carried out ...

Mazloff, Matthew R

2008-01-01T23:59:59.000Z

498

Estimation of sector roughness lengths and the effect on prediction of the vertical wind speed profile  

Science Journals Connector (OSTI)

An estimate of roughness length is required by some atmospheric models and is also used in the logarithmic profile to determine the increase of wind speed with height under neutral conditions. The choice ... thei...

R. J. Barthelmie; J. P. Palutikof; T. D. Davies

1993-10-01T23:59:59.000Z

499

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

E-Print Network [OSTI]

The development of infectious disease models remains important to provide scientists with tools to better understand disease dynamics and develop more effective control strategies. In this work we focus on the estimation of seasonally varying...

Word, Daniel Paul

2013-07-09T23:59:59.000Z

500

An integrated fuzzy regression algorithm for improved electricity consumption estimation  

Science Journals Connector (OSTI)

This study presents an integrated fuzzy regression and time-series technique to estimate and predict electricity demand. Furthermore, it is difficult to model uncertain behaviour of energy consumption with only conventional time-series and fuzzy regression, which could be an ideal substitute for such cases. After reviewing various fuzzy regression models and studying their advantages and shortcomings, the best model is selected. Also, the impact of data preprocessing and post-processing on the fuzzy regression performance is to study and to show that this method does not contribute to the efficiency of the model. In addition, another unique feature of this study is utilisation of autocorrelation function to define input variables versus trial and error method. At last, the comparison of actual data with fuzzy regression and ARIMA model, using Granger??Newbold test, is achieved. Monthly electricity consumption of Iran from 1995 to 2005 is considered as the case of this study.

Ali Azadeh; Morteza Saberi; Anahita Gitiforouz

2010-01-01T23:59:59.000Z