Reliability Assessment of Fuel Cell System - A Framework for Quantitative Approach

Shinae Lee, Dao Zhou, Huai Wang

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

6 Citations (Scopus)

Abstract

Hydrogen Fuel Cell (FC) technologies have been developed to overcome the operational and environmental challenges associated with using conventional power sources. Telecommunication industry, in particular, has implemented FC systems for the backup power function. The designers and manufacturers of such FC systems have great interest in verifying the performance and safety of their systems. Reliability assessment is designated to support decision-making about the optimal design and the operation strategies for FC systems to be commercial viable. This involves the properties of the system such as component failures, the system architecture, and operational strategies. This paper suggests an approach that includes Failure Modes and Effects Analysis (FMEA), Fault Tree Analysis (FTA), and Reliability Block Diagram (RBD). For a case study, and the service lifetime of a commercial 5 kW Proton Exchange Membrane Fuel Cell (PEMFC) system is estimated for backup power applications, in terms of the critical components, subsystems and the whole system.
Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE Energy Conversion Congress and Exposition (ECCE)
Number of pages5
PublisherIEEE Press
Publication dateSept 2016
ISBN (Electronic)978-1-5090-0737-0
DOIs
Publication statusPublished - Sept 2016
Event 8th Annual IEEE Energy Conversion Congress & Exposition: ECCE 2016 - Milwaukee, WI, United States
Duration: 18 Sept 201622 Sept 2016
http://www.ieee-ecce.org/

Conference

Conference 8th Annual IEEE Energy Conversion Congress & Exposition
Country/TerritoryUnited States
CityMilwaukee, WI
Period18/09/201622/09/2016
SponsorIEEE, IEEE Industry Applications Society (IAS), IEEE Power Electronics and Industry Applications Societies (PELS)
Internet address

Keywords

  • Power converter
  • Reliality assessment
  • Fuel cell system

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