IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v255y2019ics0306261919315363.html
   My bibliography  Save this article

Influencing sensitivities of critical operating parameters on PEMFC output performance and gas distribution quality under different electrical load conditions

Author

Listed:
  • Chen, Huicui
  • Liu, Biao
  • Zhang, Tong
  • Pei, Pucheng

Abstract

Proton exchange membrane fuel cell has certain requirements on operating conditions. Suitable operating parameters can not only improve the output performance, but also prolong the life duration of fuel cells. Existing studies on the effects of operating parameters on fuel cell performance are often qualitative and lack quantitative indicator of influencing sensitivity. Moreover, there is currently almost no research on impacts of operating parameters on fuel cell internal reactant gas distribution, but local gas starvation caused by uneven gas distribution is one of the crucial reasons for fuel cell lifetime degradation. In this paper, a three-dimensional model of a three-channel serpentine flow field fuel cell is established to study the impacts of seven critical operating parameters on fuel cell output performance and internal gas concentration distribution under different load conditions. By calculating the influential proportion of each operating parameter, its influencing sensitivity on fuel cell performance is quantitatively evaluated. The changing trends of each operating parameter’s impact and influencing sensitivity on the output voltage, the mean value and standard deviation of internal gas molar concentration distribution under different load conditions are also analyzed. Besides, the optimal operating parameters combinations at various loads have been summarized based on simulation and calculation results. The research content of this paper can make up for the current vacancy research on impacts of operating parameters on fuel cell internal gas distribution, the quantitative evaluation method of influential sensitivity proposed in this paper can be reference for the operational parameters studies, and the conclusions of this paper can provide more specific guidance for fuel cell performance improvement and control optimization.

Suggested Citation

  • Chen, Huicui & Liu, Biao & Zhang, Tong & Pei, Pucheng, 2019. "Influencing sensitivities of critical operating parameters on PEMFC output performance and gas distribution quality under different electrical load conditions," Applied Energy, Elsevier, vol. 255(C).
    • Handle: RePEc:eee:appene:v:255:y:2019:i:c:s0306261919315363
    DOI: 10.1016/j.apenergy.2019.113849
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919315363
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2019.113849?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. Masli Irwan Rosli & Bee Huah Lim & Edy Herianto Majlan & Teuku Husaini & Wan Ramli Wan Daud & Soh Fong Lim, 2022. "Performance Analysis of PEMFC with Single-Channel and Multi-Channels on the Impact of the Geometrical Model," Energies, MDPI, vol. 15(21), pages 1-14, October.
    2. Chen, Huicui & Zhang, Ruirui & Xia, Zhifeng & Weng, Qianyao & Zhang, Tong & Pei, Pucheng, 2023. "Experimental investigation on PEM fuel cell flooding mitigation under heavy loading condition," Applied Energy, Elsevier, vol. 349(C).
    3. Zeng, Tao & Xiao, Long & Chen, Jinrui & Li, Yu & Yang, Yi & Huang, Shulong & Deng, Chenghao & Zhang, Caizhi, 2023. "Feedforward-based decoupling control of air supply for vehicular fuel cell system: Methodology and experimental validation," Applied Energy, Elsevier, vol. 335(C).
    4. Zhang, Yuqi & Li, Yu & Zhang, Caizhi & Yang, Yunzi & Yu, Xingzi & Niu, Tong & Wang, Lei & Wang, Gucheng, 2024. "Intelligent diagnosis of proton exchange membrane fuel cell water states based on flooding-specificity experiment and deep learning method," Renewable Energy, Elsevier, vol. 222(C).
    5. Feng, ShengSen & Huang, WenTao & Huang, Zhe & Jian, Qifei, 2022. "Optimization of maximum power density output for proton exchange membrane fuel cell based on a data-driven surrogate model," Applied Energy, Elsevier, vol. 317(C).
    6. Luo, Lizhong & Huang, Bi & Bai, Xingying & Cheng, Zongyi & Jian, Qifei, 2020. "Temperature uniformity improvement of a proton exchange membrane fuel cell stack with ultra-thin vapor chambers," Applied Energy, Elsevier, vol. 270(C).
    7. Chen, Ke & Luo, Zongkai & Zou, Guofu & He, Dandi & Xiong, Zhongzhuang & Zhou, Yu & Chen, Ben, 2024. "Multi-objective optimization of gradient gas diffusion layer structures for enhancing proton exchange membrane fuel cell performance based on response surface methodology and non-dominated sorting gen," Energy, Elsevier, vol. 288(C).
    8. Wang, Xuechao & Chen, Jinzhou & Quan, Shengwei & Wang, Ya-Xiong & He, Hongwen, 2020. "Hierarchical model predictive control via deep learning vehicle speed predictions for oxygen stoichiometry regulation of fuel cells," Applied Energy, Elsevier, vol. 276(C).
    9. Pandu Ranga Tirumalasetti & Fang-Bor Weng & Mangaliso Menzi Dlamini & Chia-Hung Chen, 2024. "Numerical Simulation of Double Layered Wire Mesh Integration on the Cathode for a Proton Exchange Membrane Fuel Cell (PEMFC)," Energies, MDPI, vol. 17(2), pages 1-15, January.
    10. Zhang, Xiaojie & Zhang, Tong & Chen, Huicui & Cao, Yinliang, 2021. "A review of online electrochemical diagnostic methods of on-board proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 286(C).
    11. Zhang, Qinguo & Tong, Zheming & Tong, Shuiguang & Cheng, Zhewu, 2021. "Self-humidifying effect of air self-circulation system for proton exchange membrane fuel cell engines," Renewable Energy, Elsevier, vol. 164(C), pages 1143-1155.
    12. Mingzhang Pan & Chengjie Pan & Jinyang Liao & Chao Li & Rong Huang & Qiwei Wang, 2021. "Assessment of Sensitivity to Evaluate the Impact of Operating Parameters on Stability and Performance in Proton Exchange Membrane Fuel Cells," Energies, MDPI, vol. 14(14), pages 1-23, July.
    13. Quan, Shengwei & Wang, Ya-Xiong & Xiao, Xuelian & He, Hongwen & Sun, Fengchun, 2021. "Feedback linearization-based MIMO model predictive control with defined pseudo-reference for hydrogen regulation of automotive fuel cells," Applied Energy, Elsevier, vol. 293(C).
    14. Zhou, Yu & Chen, Ben, 2023. "Investigation of optimization and evaluation criteria for flow field in proton exchange membrane fuel cell: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    15. Lu Zhang & Yongfeng Liu & Pucheng Pei & Xintong Liu & Long Wang & Yuan Wan, 2022. "Variation Characteristic Analysis of Water Content at the Flow Channel of Proton Exchange Membrane Fuel Cell," Energies, MDPI, vol. 15(9), pages 1-20, April.
    16. Chen, Dongfang & Pei, Pucheng & Meng, Yining & Ren, Peng & Li, Yuehua & Wang, Mingkai & Wang, Xizhong, 2022. "Novel extraction method of working condition spectrum for the lifetime prediction and energy management strategy evaluation of automotive fuel cells," Energy, Elsevier, vol. 255(C).
    17. Qian, Zhang & Hongwei, Wang & Chunlei, Liu & Yi, An, 2024. "Establishment and identification of MIMO fractional Hammerstein model with colored noise for PEMFC system," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    18. Meng, Kai & Chen, Ben & Zhou, Haoran & Shen, Jun & Shen, Zuguo & Tu, Zhengkai, 2022. "Investigation on degradation mechanism of hydrogen–oxygen proton exchange membrane fuel cell under current cyclic loading," Energy, Elsevier, vol. 242(C).
    19. Zhang, Zhuo & Wang, Qi-yao & Bai, Fan & Chen, Li & Tao, Wen-quan, 2023. "Performance simulation and key parameters in-plane distribution analysis of a commercial-size PEMFC," Energy, Elsevier, vol. 263(PC).
    20. Deng, Shutong & Zhang, Jun & Zhang, Caizhi & Luo, Mengzhu & Ni, Meng & Li, Yu & Zeng, Tao, 2022. "Prediction and optimization of gas distribution quality for high-temperature PEMFC based on data-driven surrogate model," Applied Energy, Elsevier, vol. 327(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:255:y:2019:i:c:s0306261919315363. 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.