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Surrogate modelling for spatially distributed fuel cell models with applications to uncertainty quantification
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Shah, Akeel A. (2017) Surrogate modelling for spatially distributed fuel cell models with applications to uncertainty quantification. Journal of Electrochemical Energy Conversion and Storage, 14 (1). 011006. doi:10.1115/1.4036491 ISSN 2381-6872 .
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Official URL: http://doi.org/10.1115/1.4036491
Abstract
Detailed physics-based computer models of fuel cells can
be computationally prohibitive for applications such as optimization
and uncertainty quantification. Such applications
can require a very high number of runs in order to extract
reliable results. Approximate models based on spatial homogeneity
or data-driven techniques can serve as surrogates
when scalar quantities such as the cell voltage are of interest.
When more detailed information is required, e.g., the
potential or temperature field, computationally inexpensive
surrogate models are difficult to construct. In this paper we
use dimensionality reduction to develop a surrogate model
approach for high-fidelity fuel cell codes in cases where the
target is a field. A detailed 3-d model of a high-temperature
PEM fuel cell is used to test the approach. We develop a
framework for using such surrogate models to quantify the
uncertainty in a scalar/functional output, using the field output
results. We propose a number of alternative methods
including a semi-analytical approach requiring only limited
computational resources.
Item Type: | Journal Article | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Journal or Publication Title: | Journal of Electrochemical Energy Conversion and Storage | ||||||
Publisher: | The American Society of Mechanical Engineers | ||||||
ISSN: | 2381-6872 | ||||||
Official Date: | 30 May 2017 | ||||||
Dates: |
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Volume: | 14 | ||||||
Number: | 1 | ||||||
Number of Pages: | 15 | ||||||
Article Number: | 011006 | ||||||
DOI: | 10.1115/1.4036491 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 3 April 2017 | ||||||
Adapted As: | Paper No: JEECS-16-1115 |
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