MW_RESS_2019_accepted.pdf (1.43 MB)
Simulation of polymer electrolyte membrane fuel cell degradation using an integrated petri net and 0D model
journal contribution
posted on 2019-11-14, 13:41 authored by M Whiteley, Sarah DunnettSarah Dunnett, Lisa JacksonLisa JacksonEstablishing accurate predictions for the reliability of fuel cell operation is critical for
comparative performance evaluation of these new with existing power generation mechanisms.
Fuel cells, in particular polymer electrolyte fuel cells (PEMFCs), are an emerging technology to
potential replace internal combustion engines with the benefits of reducing carbon emissions.
Current issues relate to modelling of the degradation mechanisms limiting subsequent
accurate reliability prediction. Though common reliability techniques such as Failure Mode
and Effect Analysis (FMEA) have been used to further the understanding of the failure modes
within the fuel cell system and Fault Tree Analysis (FTA) used to quantify the likelihood of a
reduction in performance via voltage drop due to failures, modelling system level reliability and
degradation still needs more research. The inherent complexity of a PEMFC system
assembly, harbouring dependencies between multiple failure modes, limits the accuracy of
FTA. This paper presents a comprehensive Petri-Net model integrated with a 0-D fuel cell
performance model of the fuel cell system to develop a more accurate degradation model.
The results show the applicability of this novel hybrid method for reliability analysis, in this
instance with application to PEMFCs, but with merit for application in other degradation
domains.
Funding
Engineering and Physical Sciences Research Council (EPSRC) (EP/G037116/1)
Doctoral Training Centre in Hydrogen Fuel Cells and Their Applications
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
Reliability Engineering & System SafetyVolume
196Publisher
Elsevier BVVersion
- AM (Accepted Manuscript)
Rights holder
© Elsevier LtdPublisher statement
This paper was accepted for publication in the journal Reliability Engineering & System Safety and the definitive published version is available at https://doi.org/10.1016/j.ress.2019.106741Acceptance date
2019-11-10Publication date
2019-11-12ISSN
0951-8320Publisher version
Language
- en
Depositor
Prof Lisa Jackson Deposit date: 13 November 2019Article number
106741Usage metrics
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