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Numerical modeling of a proton exchange membrane fuel cell with tree-like flow field channels based on an entropy generation analysis

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  • Damian-Ascencio, Cesar E.
  • Saldaña-Robles, Adriana
  • Hernandez-Guerrero, Abel
  • Cano-Andrade, Sergio

Abstract

This paper presents a three-dimensional numerical modeling of a PEM fuel cell with tree-like flow field channels. Four different tree-like configurations are considered for the study based on a statistical analysis of the veins of the leaves of different trees. The number of bifurcations of the vein and their inclination are considered as parameters for the characterization. Four different configurations are the most recurrent, corresponding to one level of bifurcation at 37° and 74° and two levels of bifurcation at 37° and 74°. The model considers a complete solution of the mass, momentum, energy, and electrochemical equations. An entropy generation analysis is developed as a post processing once the solution of the models is obtained. Because new geometries for the channel configuration in the bipolar plates are introduced, special attention is considered for the entropy generation due to mass flow. Results indicate that the configuration with two levels of bifurcation at 37° is efficient at removing water from the cathode channels, resulting in a good current density production. In addition, a better performance of the PEM fuel cell (higher current density production and lower entropy production) is obtained by increasing the number of bifurcations.

Suggested Citation

  • Damian-Ascencio, Cesar E. & Saldaña-Robles, Adriana & Hernandez-Guerrero, Abel & Cano-Andrade, Sergio, 2017. "Numerical modeling of a proton exchange membrane fuel cell with tree-like flow field channels based on an entropy generation analysis," Energy, Elsevier, vol. 133(C), pages 306-316.
    • Handle: RePEc:eee:energy:v:133:y:2017:i:c:p:306-316
    DOI: 10.1016/j.energy.2017.05.139
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    Cited by:

    1. Li, Haowen & Yang, Huachao & Xu, Chenxuan & Yan, Jianhua & Cen, Kefa & Ostrikov, Kostya (Ken) & Bo, Zheng, 2022. "Entropy generation analysis in supercapacitor modules based on a three-dimensional coupled thermal model," Energy, Elsevier, vol. 244(PB).
    2. Li, Haowen & Yang, Huachao & Yan, Jianhua & Cen, Kefa & Ostrikov, Kostya (Ken) & Bo, Zheng, 2022. "Energy and entropy generation analysis in a supercapacitor for different operating conditions," Energy, Elsevier, vol. 260(C).
    3. Dabiri, Soroush & Hashemi, Mohammadreza & Rahimi, Mohammadfazel & Bahiraei, Mehdi & Khodabandeh, Erfan, 2018. "Design of an innovative distributor to improve flow uniformity using cylindrical obstacles in header of a fuel cell," Energy, Elsevier, vol. 152(C), pages 719-731.
    4. Sadiq T. Bunyan & Hayder A. Dhahad & Dhamyaa S. Khudhur & Talal Yusaf, 2023. "The Effect of Flow Field Design Parameters on the Performance of PEMFC: A Review," Sustainability, MDPI, vol. 15(13), pages 1-62, June.
    5. Machado, Bruno S. & Mamlouk, Mohamed & Chakraborty, Nilanjan, 2020. "Entropy generation analysis based on a three-dimensional agglomerate model of an anion exchange membrane fuel cell," Energy, Elsevier, vol. 193(C).
    6. Xiong, Kangning & Wu, Wei & Wang, Shuangfeng & Zhang, Lin, 2021. "Modeling, design, materials and fabrication of bipolar plates for proton exchange membrane fuel cell: A review," Applied Energy, Elsevier, vol. 301(C).
    7. Wang, Yulin & Wang, Xiaoai & Fan, Yuanzhi & He, Wei & Guan, Jinglei & Wang, Xiaodong, 2022. "Numerical Investigation of Tapered Flow Field Configurations for Enhanced Polymer Electrolyte Membrane Fuel Cell Performance," Applied Energy, Elsevier, vol. 306(PA).
    8. 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).
    9. Marco Mariani & Andrea Basso Peressut & Saverio Latorrata & Riccardo Balzarotti & Maurizio Sansotera & Giovanni Dotelli, 2021. "The Role of Fluorinated Polymers in the Water Management of Proton Exchange Membrane Fuel Cells: A Review," Energies, MDPI, vol. 14(24), pages 1-17, December.
    10. Iranzo, A. & Arredondo, C.H. & Kannan, A.M. & Rosa, F., 2020. "Biomimetic flow fields for proton exchange membrane fuel cells: A review of design trends," Energy, Elsevier, vol. 190(C).
    11. Miao, Di & Chen, Wei & Zhao, Wei & Demsas, Tekle, 2020. "Parameter estimation of PEM fuel cells employing the hybrid grey wolf optimization method," Energy, Elsevier, vol. 193(C).
    12. Bai, Xingying & Luo, Lizhong & Huang, Bi & Huang, Zhe & Jian, Qifei, 2021. "Flow characteristics analysis for multi-path hydrogen supply within proton exchange membrane fuel cell stack," Applied Energy, Elsevier, vol. 301(C).
    13. Yu, Zhongshuai & Liu, Fang & Li, Chengzhang, 2023. "Numerical study on effects of hydrogen ejector on PEMFC performances," Energy, Elsevier, vol. 285(C).
    14. Chowdhury, Mohammad Ziauddin & Timurkutluk, Bora, 2018. "Transport phenomena of convergent and divergent serpentine flow fields for PEMFC," Energy, Elsevier, vol. 161(C), pages 104-117.
    15. Rahmani, Ebrahim & Moradi, Tofigh & Ghandehariun, Samane & Naterer, Greg F. & Ranjbar, Amirhossein, 2023. "Enhanced mass transfer and water discharge in a proton exchange membrane fuel cell with a raccoon channel flow field," Energy, Elsevier, vol. 264(C).
    16. Li, Hong-Wei & Liu, Jun-Nan & Yang, Yue & Fan, Wenxuan & Lu, Guo-Long, 2022. "Research on mass transport characteristics and net power performance under different flow channel streamlined imitated water-drop block arrangements for proton exchange membrane fuel cell," Energy, Elsevier, vol. 251(C).

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