Comparative performance evaluation of self-humidifying PEMFCs with short-side-chain and long-side-chain membranes under various operating conditions
Dowon Cha,
Seung Won Jeon,
Wonseok Yang,
Dongwoo Kim and
Yongchan Kim
Energy, 2018, vol. 150, issue C, 320-328
Abstract:
The performance of a proton electrolyte membrane fuel cell (PEMFC) with a perfluorosulfonic-acid-based membrane is strongly dependent on the water content in the membrane. In this study, comparative performance evaluation of self-humidifying PEMFCs with short-side-chain (SSC) and long-side-chain (LSC) membranes is conducted under various operating temperatures, air stoichiometries, back pressures, and voltages. The optimal operating conditions at each voltage are determined by using response surface methodology. The self-humidifying PEMFC with the SSC membrane exhibits higher power density than that with the LSC membrane owing to higher water retention. The dominant operating parameter for the system performance changes from the back pressure to air stoichiometry with a decrease in the voltage. Moreover, based on the dynamic response tests, the self-humidifying PEMFC with the SSC membrane exhibits better reliability and settling time than that with the LSC membrane.
Keywords: PEMFC; Short-side-chain; Self-humidification; Performance (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544218303670
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:150:y:2018:i:c:p:320-328
DOI: 10.1016/j.energy.2018.02.133
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().