IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v241y2025ics0960148125000102.html
   My bibliography  Save this article

Nanoscale modelling of compressive stress on oxygen transfer characteristics in catalyst layer of proton exchange membrane fuel cells

Author

Listed:
  • Wang, Hao
  • Yang, Xiaoxing
  • Jia, Qingrong
  • Yang, Guogang
  • Zhang, Guoling
  • Li, Zheng
  • Li, Lingquan
  • Huang, Naibao

Abstract

In proton exchange membrane fuel cells (PEMFCs), the compressive stresses lead to changes in the CL morphology, which in turn influence the oxygen transfer characteristics and electrochemical reaction processes within CL. In this work, the nanoscale LB model of the catalyst layer is developed and the effects of Pt-C mass ratio, ionomer content and Pt loading coupled compression ratio on the oxygen transport within the CL pores and ionomer as well as on the electrochemical reaction process are analyzed. The results show that oxygen transfer and electrochemical reaction are dependent on the pore size distribution and active reaction area, and that decreasing the Pt-C mass ratio, increasing the ionomer content and Pt loading increases the active reaction area, but also results in decreasing the pore size and making oxygen transfer more difficult. Compression results in a shorter oxygen transport path and the Pt particles are distributed in a thinner CL, resulting in an increase in the number of active reaction sites and increasing the mean oxygen concentration within the ionomer. There are optimal values of ionomer content and Pt loading that result in the fastest oxygen consumption rate, and CL performance is not simply directly related to Pt loading.

Suggested Citation

  • Wang, Hao & Yang, Xiaoxing & Jia, Qingrong & Yang, Guogang & Zhang, Guoling & Li, Zheng & Li, Lingquan & Huang, Naibao, 2025. "Nanoscale modelling of compressive stress on oxygen transfer characteristics in catalyst layer of proton exchange membrane fuel cells," Renewable Energy, Elsevier, vol. 241(C).
  • Handle: RePEc:eee:renene:v:241:y:2025:i:c:s0960148125000102
    DOI: 10.1016/j.renene.2025.122348
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125000102
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.122348?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:241:y:2025:i:c:s0960148125000102. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.