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Dynamic Reliability Assessment of PEM Fuel Cell Systems

Vasilyev, A.; Andrews, J.; Dunnet, S.J.; Jackson, L.M.

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Authors

A. Vasilyev

JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management

S.J. Dunnet

L.M. Jackson



Abstract

In this paper, a novel model for the dynamic reliability analysis of a polymer electrolyte membrane fuel cell system is developed to account for multi-state dynamics and ageing. The modelling approach involves the combination of physical and stochastic sub-models with shared variables. The physical model consists of deterministic calculations of the system state described by variables such as temperature, pressure, mass flow rates and voltage output. Additionally, estimated component degradation rates are also taken into account. The non-deterministic model is implemented with stochastic Petri nets which model the failures of the balance of plant components within the fuel cell system. Using this approach, the effects of the operating conditions on the reliability of the system were investigated. Monte Carlo simulations of the process highlighted a clear influence of both purging and load cycles on the longevity of the fuel cell system.

Citation

Vasilyev, A., Andrews, J., Dunnet, S., & Jackson, L. (2021). Dynamic Reliability Assessment of PEM Fuel Cell Systems. Reliability Engineering and System Safety, 210, Article 107539. https://doi.org/10.1016/j.ress.2021.107539

Journal Article Type Article
Acceptance Date Feb 7, 2021
Online Publication Date Feb 9, 2021
Publication Date 2021-06
Deposit Date Feb 8, 2021
Publicly Available Date Feb 10, 2022
Journal Reliability Engineering and System Safety
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 210
Article Number 107539
DOI https://doi.org/10.1016/j.ress.2021.107539
Public URL https://nottingham-repository.worktribe.com/output/5311382
Publisher URL https://www.sciencedirect.com/science/article/abs/pii/S0951832021000971

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