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Title: Applying uncertainty quantification to multiphase flow computational fluid dynamics

Abstract

Multiphase computational fluid dynamics plays a major role in design and optimization of fossil fuel based reactors. There is a growing interest in accounting for the influence of uncertainties associated with physical systems to increase the reliability of computational simulation based engineering analysis. The U.S. Department of Energy's National Energy Technology Laboratory (NETL) has recently undertaken an initiative to characterize uncertainties associated with computer simulation of reacting multiphase flows encountered in energy producing systems such as a coal gasifier. The current work presents the preliminary results in applying non-intrusive parametric uncertainty quantification and propagation techniques with NETL's open-source multiphase computational fluid dynamics software MFIX. For this purpose an open-source uncertainty quantification toolkit, PSUADE developed at the Lawrence Livermore National Laboratory (LLNL) has been interfaced with MFIX software. In this study, the sources of uncertainty associated with numerical approximation and model form have been neglected, and only the model input parametric uncertainty with forward propagation has been investigated by constructing a surrogate model based on data-fitted response surface for a multiphase flow demonstration problem. Monte Carlo simulation was employed for forward propagation of the aleatory type input uncertainties. Several insights gained based on the outcome of these simulations are presented suchmore » as how inadequate characterization of uncertainties can affect the reliability of the prediction results. Also a global sensitivity study using Sobol' indices was performed to better understand the contribution of input parameters to the variability observed in response variable.« less

Authors:
; ; ; ;
Publication Date:
Research Org.:
National Energy Technology Lab. (NETL), Pittsburgh, PA, and Morgantown, WV (United States). In-house Research
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1129849
Report Number(s):
A-CONTR-PUB-030
DOE Contract Number:  
DE-FE0004000
Resource Type:
Journal Article
Journal Name:
POWDER TECHNOLOGY
Additional Journal Information:
Journal Volume: 242
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; Multiphase flow; Computational fluid dynamics (CFD); Non-intrusive parametric uncertainty quantification and propagation; Surrogate models; Data-fitted response surface

Citation Formats

Gel, A, Garg, R, Tong, C, Shahnam, M, and Guenther, C. Applying uncertainty quantification to multiphase flow computational fluid dynamics. United States: N. p., 2013. Web. doi:10.1016/j.powtec.2013.01.045.
Gel, A, Garg, R, Tong, C, Shahnam, M, & Guenther, C. Applying uncertainty quantification to multiphase flow computational fluid dynamics. United States. doi:10.1016/j.powtec.2013.01.045.
Gel, A, Garg, R, Tong, C, Shahnam, M, and Guenther, C. Mon . "Applying uncertainty quantification to multiphase flow computational fluid dynamics". United States. doi:10.1016/j.powtec.2013.01.045.
@article{osti_1129849,
title = {Applying uncertainty quantification to multiphase flow computational fluid dynamics},
author = {Gel, A and Garg, R and Tong, C and Shahnam, M and Guenther, C},
abstractNote = {Multiphase computational fluid dynamics plays a major role in design and optimization of fossil fuel based reactors. There is a growing interest in accounting for the influence of uncertainties associated with physical systems to increase the reliability of computational simulation based engineering analysis. The U.S. Department of Energy's National Energy Technology Laboratory (NETL) has recently undertaken an initiative to characterize uncertainties associated with computer simulation of reacting multiphase flows encountered in energy producing systems such as a coal gasifier. The current work presents the preliminary results in applying non-intrusive parametric uncertainty quantification and propagation techniques with NETL's open-source multiphase computational fluid dynamics software MFIX. For this purpose an open-source uncertainty quantification toolkit, PSUADE developed at the Lawrence Livermore National Laboratory (LLNL) has been interfaced with MFIX software. In this study, the sources of uncertainty associated with numerical approximation and model form have been neglected, and only the model input parametric uncertainty with forward propagation has been investigated by constructing a surrogate model based on data-fitted response surface for a multiphase flow demonstration problem. Monte Carlo simulation was employed for forward propagation of the aleatory type input uncertainties. Several insights gained based on the outcome of these simulations are presented such as how inadequate characterization of uncertainties can affect the reliability of the prediction results. Also a global sensitivity study using Sobol' indices was performed to better understand the contribution of input parameters to the variability observed in response variable.},
doi = {10.1016/j.powtec.2013.01.045},
journal = {POWDER TECHNOLOGY},
number = ,
volume = 242,
place = {United States},
year = {2013},
month = {7}
}