IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v129y2014icp135-146.html
   My bibliography  Save this article

Designed experiments to characterize PEMFC material properties and performance

Author

Listed:
  • Flick, Sarah
  • Schwager, Maximilian
  • McCarthy, Edward
  • Mérida, Walter

Abstract

We report on using Design of Experiments (DoE) methods to study the influence of the gas diffusion layer (GDL) material on Polymer Electrolyte Membrane Fuel Cell (PEMFC) performance. We applied DoE methods to discern and quantify the effect of a micro-porous layer (MPL) for the first time. Two full factorial split-plot designs were used based on six operating parameters, namely anode stoichiometry, cathode stoichiometry, temperature, anode inlet relative humidity and cathode inlet relative humidity and gas pressure and a categorical factor, the GDL type. The cell voltage and cathode pressure drop are the responses, measured and modeled under galvanostatic control at current densities of 1.0Acm−2, 1.4Acm−2 and 1.6Acm−2. The results of this work demonstrate the use of DoE to assess the differences and parameter dependencies of different materials in the GDL of PEMFC. Statistical tests to identify the performance-determining parameters and parameter dependencies were conducted. For all current densities the type of GDL material, temperature, and the interaction between these two factors had the most impact on the voltage. The cell with an MPL showed voltage changes of 0.1V when navigating the design space of temperatures from 40°C to 75°C and cathode stoichiometries from 1.5 to 3. The voltage of the cell without MPL had a strong dependence on temperature indicated by large voltage changes of 0.4V over the temperature range of 40–75°C.

Suggested Citation

  • Flick, Sarah & Schwager, Maximilian & McCarthy, Edward & Mérida, Walter, 2014. "Designed experiments to characterize PEMFC material properties and performance," Applied Energy, Elsevier, vol. 129(C), pages 135-146.
    • Handle: RePEc:eee:appene:v:129:y:2014:i:c:p:135-146
    DOI: 10.1016/j.apenergy.2014.05.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261914005005
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2014.05.009?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hasheminasab, M. & Kermani, M.J. & Nourazar, S.S. & Khodsiani, M.H., 2020. "A novel experimental based statistical study for water management in proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 264(C).
    2. Liu, Ze & Xu, Sichuan & Zhao, Honghui & Wang, Yupeng, 2022. "Durability estimation and short-term voltage degradation forecasting of vehicle PEMFC system: Development and evaluation of machine learning models," Applied Energy, Elsevier, vol. 326(C).
    3. Giugno, Andrea & Mantelli, Luca & Cuneo, Alessandra & Traverso, Alberto, 2020. "Performance analysis of a fuel cell hybrid system subject to technological uncertainties," Applied Energy, Elsevier, vol. 279(C).
    4. Shahgaldi, Samaneh & Alaefour, Ibrahim & Li, Xianguo, 2018. "The impact of short side chain ionomer on polymer electrolyte membrane fuel cell performance and durability," Applied Energy, Elsevier, vol. 217(C), pages 295-302.
    5. Zuo, Jian & Lv, Hong & Zhou, Daming & Xue, Qiong & Jin, Liming & Zhou, Wei & Yang, Daijun & Zhang, Cunman, 2021. "Deep learning based prognostic framework towards proton exchange membrane fuel cell for automotive application," Applied Energy, Elsevier, vol. 281(C).
    6. Boyacı San, Fatma Gül & İyigün Karadağ, Çiğdem & Okur, Osman & Okumuş, Emin, 2016. "Optimization of the catalyst loading for the direct borohydride fuel cell," Energy, Elsevier, vol. 114(C), pages 214-224.
    7. Laoun, Brahim & Kasat, Harshal A. & Ahmad, Riaz & Kannan, Arunachala M., 2018. "Gas diffusion layer development using design of experiments for the optimization of a proton exchange membrane fuel cell performance," Energy, Elsevier, vol. 151(C), pages 689-695.
    8. Vasile, Nicolò S. & Doherty, Ronan & Monteverde Videla, Alessandro H.A. & Specchia, Stefania, 2016. "3D multi-physics modeling of a gas diffusion electrode for oxygen reduction reaction for electrochemical energy conversion in PEM fuel cells," Applied Energy, Elsevier, vol. 175(C), pages 435-450.
    9. Tzelepis, Stefanos & Kavadias, Kosmas A. & Marnellos, George E. & Xydis, George, 2021. "A review study on proton exchange membrane fuel cell electrochemical performance focusing on anode and cathode catalyst layer modelling at macroscopic level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).

    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:appene:v:129:y:2014:i:c:p:135-146. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.