Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling

doi:10.1002/er.4698

This content will become publicly available on August 15, 2020

Title: Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling

Authors:

^[1]; Kozlowski, Tomasz ^[1]

Department of Nuclear, Plasma, and Radiological EngineeringUniversity of Illinois at Urbana Champaign Urbana Illinois

Publication Date:: 2019-08-16

Sponsoring Org.:: USDOE

OSTI Identifier:: 1563010

Grant/Contract Number:: 16-10908; NE0008573

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: International Journal of Energy Research

Additional Journal Information:: Journal Name: International Journal of Energy Research; Journal ID: ISSN 0363-907X

Publisher:: Wiley Blackwell (John Wiley & Sons)

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Radaideh, Majdi I., and Kozlowski, Tomasz. Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling.  United Kingdom: N. p., 2019. 
        Web.  doi:10.1002/er.4698.

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                    Radaideh, Majdi I., & Kozlowski, Tomasz. Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling.  United Kingdom.  doi:10.1002/er.4698.

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                    Radaideh, Majdi I., and Kozlowski, Tomasz. Fri .  
        "Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling".  United Kingdom.  doi:10.1002/er.4698.

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@article{osti_1563010,

  title        = {Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling},

  author       = {Radaideh, Majdi I. and Kozlowski, Tomasz},

  abstractNote = {},

  doi          = {10.1002/er.4698},

  journal      = {International Journal of Energy Research},

  number       = ,

  volume       = ,

  place        = {United Kingdom},

  year         = {2019},

  month        = {8}

}

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Similar Records

This content will become publicly available on August 15, 2020

Title: Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling

Citation Formats

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Factorial Sampling Plans for Preliminary Computational Experiments journal, May 1991

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Polynomial Theory of Complex Systems journal, October 1971

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A study of double functions and load matching of a phosphoric acid fuel cell/heat-driven refrigerator hybrid system journal, April 2016

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Estimating Sobol sensitivity indices using correlations journal, November 2012

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Validation and Uncertainty Quantification for Wall Boiling Closure Relations in Multiphase-CFD Solver journal, September 2018

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Integrated framework for model assessment and advanced uncertainty quantification of nuclear computer codes under Bayesian statistics journal, September 2019

Data-Driven and Precursor-Group Uncertainty Propagation of Lattice Kinetic Parameters in UAM Benchmark journal, May 2019

Advanced BWR criticality safety part I: Model development, model benchmarking, and depletion with uncertainty analysis journal, May 2019

A Bayesian approach for quantification of model uncertainty journal, July 2010

Verification, validation, and predictive capability in computational engineering and physics journal, September 2004

Data-driven modeling for boiling heat transfer: Using deep neural networks and high-fidelity simulation results journal, November 2018

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Thermal-Hydraulic System Codes in Nulcear Reactor Safety and Qualification Procedures journal, January 2008

Modern Nuclear Data Evaluation with the TALYS Code System journal, December 2012

Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory journal, August 2018

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Review of Metamodeling Techniques in Support of Engineering Design Optimization journal, May 2006

Efficient Subspace Methods-Based Algorithms for Performing Sensitivity, Uncertainty, and Adaptive Simulation of Large-Scale Computational Models journal, July 2008

Use of Kriging Models to Approximate Deterministic Computer Models journal, April 2005

Shapley effect application for variance-based sensitivity analysis of the few-group cross-sections journal, July 2019

Delayed-Neutron Data for Reactor-Physics Analysis journal, January 1975

Nuclide Composition Benchmark Data Set for Verifying Burnup Codes on Spent Light Water Reactor Fuels journal, February 2002

Bayesian calibration of computer models journal, August 2001

ENDF/B-VII.1 Nuclear Data for Science and Technology: Cross Sections, Covariances, Fission Product Yields and Decay Data journal, December 2011

PSI Methodologies for Nuclear Data Uncertainty Propagation with CASMO-5M and MCNPX: Results for OECD/NEA UAM Benchmark Phase I journal, January 2013

A roe-type numerical solver for the two-phase two-fluid six-equation model with realistic equation of state journal, January 2018

Aleatory or epistemic? Does it matter? journal, March 2009

Delayed Neutrons from Fissionable Isotopes of Uranium, Plutonium, and Thorium journal, August 1957

An effective screening design for sensitivity analysis of large models journal, October 2007

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Surrogate-based methods for black-box optimization: Surrogate-based methods for black-box optimization journal, April 2016

A new framework for sampling-based uncertainty quantification of the six-group reactor kinetic parameters journal, May 2019

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Hybrid reduced order modeling applied to nonlinear models: HYBRID APPLICATION OF ORDER REDUCTION METHODS
journal, July 2012

Coupled neutronic thermo-hydraulic analysis of full PWR core with Monte-Carlo based BGCore system
journal, September 2011

Multidimensional multiphysics simulation of nuclear fuel behavior
journal, April 2012

Nuclear data sensitivity, uncertainty and target accuracy assessment for future nuclear systems
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Dimensionality reducibility for multi-physics reduced order modeling
journal, December 2017

Factorial Sampling Plans for Preliminary Computational Experiments
journal, May 1991

NUPEC BWR Full-size Fine-mesh Bundle Test (BFBT) Benchmark
journal, November 2006

David Draper and E. I. George, and a rejoinder by the authors
journal, November 1999

Polynomial Theory of Complex Systems
journal, October 1971

Application of implicit Roe-type scheme and Jacobian-Free Newton-Krylov method to two-phase flow problems
journal, September 2018

Loss of coolant accident analysis under restriction of reverse flow
journal, September 2019

A study of double functions and load matching of a phosphoric acid fuel cell/heat-driven refrigerator hybrid system
journal, April 2016

A generalized adjoint framework for sensitivity and global error estimation in time-dependent nuclear reactor simulations
journal, February 2013

Global sensitivity analysis using polynomial chaos expansions
journal, July 2008

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journal, October 2004

Adaptive sparse polynomial chaos expansion based on least angle regression
journal, March 2011

Multi-objective optimisation analysis and load matching of a phosphoric acid fuel cell system
journal, February 2012

SCALE 6: Comprehensive Nuclear Safety Analysis Code System
journal, May 2011

Rod Internal Pressure Distribution and Uncertainty Analysis Using FRAPCON
journal, January 2017

Challenges in coupled thermal–hydraulics and neutronics simulations for LWR safety analysis
journal, June 2007

Coupling of system thermal–hydraulics and Monte-Carlo code: Convergence criteria and quantification of correlation between statistical uncertainty and coupled error
journal, January 2015

Advanced BWR criticality safety part II: Cask criticality, burnup credit, sensitivity, and uncertainty analyses
journal, August 2019

Estimating Sobol sensitivity indices using correlations
journal, November 2012

A Statistical Sampling Method for Uncertainty Analysis with SCALE and XSUSA
journal, September 2013

Validation and Uncertainty Quantification for Wall Boiling Closure Relations in Multiphase-CFD Solver
journal, September 2018

The Serpent Monte Carlo code: Status, development and applications in 2013
journal, August 2015

Integrated framework for model assessment and advanced uncertainty quantification of nuclear computer codes under Bayesian statistics
journal, September 2019

Data-Driven and Precursor-Group Uncertainty Propagation of Lattice Kinetic Parameters in UAM Benchmark
journal, May 2019

Advanced BWR criticality safety part I: Model development, model benchmarking, and depletion with uncertainty analysis
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A Bayesian approach for quantification of model uncertainty
journal, July 2010

Verification, validation, and predictive capability in computational engineering and physics
journal, September 2004

Data-driven modeling for boiling heat transfer: Using deep neural networks and high-fidelity simulation results
journal, November 2018

Verification and validation of simulation models
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Thermal-Hydraulic System Codes in Nulcear Reactor Safety and Qualification Procedures
journal, January 2008

Modern Nuclear Data Evaluation with the TALYS Code System
journal, December 2012

Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory
journal, August 2018

Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian Process, Part 2: Application to TRACE
journal, August 2018

Review of Metamodeling Techniques in Support of Engineering Design Optimization
journal, May 2006

Efficient Subspace Methods-Based Algorithms for Performing Sensitivity, Uncertainty, and Adaptive Simulation of Large-Scale Computational Models
journal, July 2008

Use of Kriging Models to Approximate Deterministic Computer Models
journal, April 2005

Shapley effect application for variance-based sensitivity analysis of the few-group cross-sections
journal, July 2019

Delayed-Neutron Data for Reactor-Physics Analysis
journal, January 1975

Nuclide Composition Benchmark Data Set for Verifying Burnup Codes on Spent Light Water Reactor Fuels
journal, February 2002

Bayesian calibration of computer models
journal, August 2001

ENDF/B-VII.1 Nuclear Data for Science and Technology: Cross Sections, Covariances, Fission Product Yields and Decay Data
journal, December 2011

PSI Methodologies for Nuclear Data Uncertainty Propagation with CASMO-5M and MCNPX: Results for OECD/NEA UAM Benchmark Phase I
journal, January 2013

A roe-type numerical solver for the two-phase two-fluid six-equation model with realistic equation of state
journal, January 2018

Aleatory or epistemic? Does it matter?
journal, March 2009

Delayed Neutrons from Fissionable Isotopes of Uranium, Plutonium, and Thorium
journal, August 1957

An effective screening design for sensitivity analysis of large models
journal, October 2007

Quantification of model-form and parametric uncertainty using evidence theory
journal, November 2012

Surrogate-based methods for black-box optimization: Surrogate-based methods for black-box optimization
journal, April 2016

A new framework for sampling-based uncertainty quantification of the six-group reactor kinetic parameters
journal, May 2019

Nuclear Data Uncertainty Quantification: Past, Present and Future
journal, January 2015

Deep learning in neural networks: An overview
journal, January 2015

A machine learning approach for efficient uncertainty quantification using multiscale methods
journal, February 2018

Uncertainty quantification and sensitivity analysis with CASL Core Simulator VERA-CS
journal, September 2016