IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i3p762-d1333961.html
   My bibliography  Save this article

Channel-to-Rib Width Ratio Optimization for the Electrical Performance Enhancement in PEMFC Based on Accurate Strain-Stress Simulation

Author

Listed:
  • Xiangyang Chen

    (Guangdong Provincial Key Laboratory on Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China)

  • Xianglong Luo

    (Guangdong Provincial Key Laboratory on Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China)

  • Chao Wang

    (Guangdong Provincial Key Laboratory on Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China)

  • Yingzong Liang

    (Guangdong Provincial Key Laboratory on Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China)

  • Jianyong Chen

    (Guangdong Provincial Key Laboratory on Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China)

  • Zhi Yang

    (Guangdong Provincial Key Laboratory on Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China)

  • Jiacheng He

    (Guangdong Provincial Key Laboratory on Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China)

  • Ying Chen

    (Guangdong Provincial Key Laboratory on Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China)

Abstract

Although a large channel-to-rib width ratio (CRWR) of the bipolar plate (BP) leads to a large electrical performance of PEMFC, an excessive CRWR leads to excessive pressure and destroys the gas diffusion layer (GDL), thus reducing the electrical performance of PEMFC. Revealing the relationship between the CRWR and GDL is of urgent necessity for improving the electrical performance of PEMFC. In this study, a three-dimensional model of PEMFC incorporating the compressed neo-Hookean theory is developed to accurately depict the stress-strain relationship. Compared with the traditional model incorporating the linear-elastic theory, the current density deviation of the proposed model is decreased from 9.81% to 2.55%. The correlation among CRWR of BP, stress, strain, and elastic modulus of GDL is fitted. The average stress deviation of the correlation from the simulated data is 3.41%. Based on the correlation, when the compressive strength of GDL is 2.5 MPa, the peak permissible CRWR is achieved at 2.91, indicating the peak value of CRWR without damaging the GDL structure. A power density enhancement of 29.04% compared to the conventional case is achieved. The strategies of this study can be used to guide the design of the channel of bipolar plates and enhance the power density of PEMFC.

Suggested Citation

  • Xiangyang Chen & Xianglong Luo & Chao Wang & Yingzong Liang & Jianyong Chen & Zhi Yang & Jiacheng He & Ying Chen, 2024. "Channel-to-Rib Width Ratio Optimization for the Electrical Performance Enhancement in PEMFC Based on Accurate Strain-Stress Simulation," Energies, MDPI, vol. 17(3), pages 1-28, February.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:762-:d:1333961
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/3/762/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/3/762/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yan, Xiaohui & Lin, Chen & Zheng, Zhifeng & Chen, Junren & Wei, Guanghua & Zhang, Junliang, 2020. "Effect of clamping pressure on liquid-cooled PEMFC stack performance considering inhomogeneous gas diffusion layer compression," Applied Energy, Elsevier, vol. 258(C).
    2. Kui Jiao & Jin Xuan & Qing Du & Zhiming Bao & Biao Xie & Bowen Wang & Yan Zhao & Linhao Fan & Huizhi Wang & Zhongjun Hou & Sen Huo & Nigel P. Brandon & Yan Yin & Michael D. Guiver, 2021. "Designing the next generation of proton-exchange membrane fuel cells," Nature, Nature, vol. 595(7867), pages 361-369, July.
    3. Song Yan & Mingyang Yang & Chuanyu Sun & Sichuan Xu, 2023. "Liquid Water Characteristics in the Compressed Gradient Porosity Gas Diffusion Layer of Proton Exchange Membrane Fuel Cells Using the Lattice Boltzmann Method," Energies, MDPI, vol. 16(16), pages 1-18, August.
    4. Katie H. Lim & Albert S. Lee & Vladimir Atanasov & Jochen Kerres & Eun Joo Park & Santosh Adhikari & Sandip Maurya & Luis Delfin Manriquez & Jiyoon Jung & Cy Fujimoto & Ivana Matanovic & Jasna Jankovi, 2022. "Protonated phosphonic acid electrodes for high power heavy-duty vehicle fuel cells," Nature Energy, Nature, vol. 7(3), pages 248-259, March.
    5. Xia, Lingchao & Ni, Meng & He, Qijiao & Xu, Qidong & Cheng, Chun, 2021. "Optimization of gas diffusion layer in high temperature PEMFC with the focuses on thickness and porosity," Applied Energy, Elsevier, vol. 300(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahmed Mohmed Dafalla & Lin Wei & Bereket Tsegai Habte & Jian Guo & Fangming Jiang, 2022. "Membrane Electrode Assembly Degradation Modeling of Proton Exchange Membrane Fuel Cells: A Review," Energies, MDPI, vol. 15(23), pages 1-26, December.
    2. Yao, Jing & Wu, Zhen & Wang, Huan & Yang, Fusheng & Xuan, Jin & Xing, Lei & Ren, Jianwei & Zhang, Zaoxiao, 2022. "Design and multi-objective optimization of low-temperature proton exchange membrane fuel cells with efficient water recovery and high electrochemical performance," Applied Energy, Elsevier, vol. 324(C).
    3. Ye, Lingfeng & Qiu, Diankai & Peng, Linfa & Lai, Xinmin, 2024. "Conduction mechanism analysis and modeling of different gas diffusion layers for PEMFC to improve their bulk conductivities via microstructure design," Applied Energy, Elsevier, vol. 362(C).
    4. Chen, Chaogang & Gao, Yuan, 2024. "Using multi-threshold non-local means joint distribution method to analysis the spatial distribution patterns of binder and fibers in gas diffusion layers of fuel cells," Applied Energy, Elsevier, vol. 358(C).
    5. Abdul Ghani Olabi & Tabbi Wilberforce & Abdulrahman Alanazi & Parag Vichare & Enas Taha Sayed & Hussein M. Maghrabie & Khaled Elsaid & Mohammad Ali Abdelkareem, 2022. "Novel Trends in Proton Exchange Membrane Fuel Cells," Energies, MDPI, vol. 15(14), pages 1-35, July.
    6. Keller, Nico & von Unwerth, Thomas, 2022. "Advanced parametric model for analysis of the influence of channel cross section dimensions and clamping pressure on current density distribution in PEMFC," Applied Energy, Elsevier, vol. 307(C).
    7. 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).
    8. Zhiming Zhang & Sai Wu & Kunpeng Li & Jiaming Zhou & Caizhi Zhang & Guofeng Wang & Tong Zhang, 2022. "An Effective Force-Temperature-Humidity Coupled Modeling for PEMFC Performance Parameter Matching by Using CFD and FEA Co-Simulation," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    9. Chen, Dongfang & Pei, Pucheng & Ren, Peng & Song, Xin & Wang, He & Zhang, Lu & Wang, Mingkai, 2022. "Analytical methods for the effect of anode nitrogen concentration on performance and voltage consistency of proton exchange membrane fuel cell stack," Energy, Elsevier, vol. 258(C).
    10. Zhang, Yong & He, Shirong & Jiang, Xiaohui & Xiong, Mu & Ye, Yuntao & Yang, Xi, 2023. "Three-dimensional multi-phase simulation of proton exchange membrane fuel cell performance considering constriction straight channel," Energy, Elsevier, vol. 267(C).
    11. Zhang, Xiaoqing & Yang, Jiapei & Ma, Xiao & Zhuge, Weilin & Shuai, Shijin, 2022. "Modelling and analysis on effects of penetration of microporous layer into gas diffusion layer in PEM fuel cells: Focusing on mass transport," Energy, Elsevier, vol. 254(PA).
    12. Nicolas Muck & Christoph David & Torsten Knöri, 2023. "Integrating Fiber Sensing for Spatially Resolved Temperature Measurement in Fuel Cells," Energies, MDPI, vol. 17(1), pages 1-17, December.
    13. Zhang, Xin & Li, Jingwen & Xiong, Yi & Ang, Yee Sin, 2022. "Efficient harvesting of low-grade waste heat from proton exchange membrane fuel cells via thermoradiative power devices," Energy, Elsevier, vol. 258(C).
    14. Lu, Guolong & Fan, Wenxuan & Lu, Dafeng & Zhao, Taotao & Wu, Qianqian & Liu, Mingxin & Liu, Zhenning, 2024. "Lung-inspired hybrid flow field to enhance PEMFC performance: A case of dual optimization by response surface and artificial intelligence," Applied Energy, Elsevier, vol. 355(C).
    15. Yunjie Yang & Minli Bai & Laisuo Su & Jizu Lv & Chengzhi Hu & Linsong Gao & Yang Li & Yubai Li & Yongchen Song, 2022. "One-Dimensional Numerical Simulation of Pt-Co Alloy Catalyst Aging for Proton Exchange Membrane Fuel Cells," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    16. Venkatesan, Suriya & Mitzel, Jens & Wegner, Karsten & Costa, Remi & Gazdzicki, Pawel & Friedrich, Kaspar Andreas, 2022. "Nanomaterials and films for polymer electrolyte membrane fuel cells and solid oxide cells by flame spray pyrolysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    17. Teng Teng & Xin Zhang & Qicheng Xue & Baodi Zhang, 2024. "Research of Proton Exchange Membrane Fuel Cell Modeling on Concentration Polarization under Variable-Temperature Operating Conditions," Energies, MDPI, vol. 17(3), pages 1-17, February.
    18. Wang, Mingkai & Pei, Pucheng & Xu, Yiming & Fan, Tengbo & Ren, Peng & Zhu, Zijing & Chen, Dongfang & Fu, Xi & Song, Xin & Wang, He, 2024. "CO-tolerance behaviors of proton exchange membrane fuel cell stacks with impure hydrogen fuel," Applied Energy, Elsevier, vol. 366(C).
    19. Su, Chao & Chen, Zhidong & Wu, Zexuan & Zhang, Jing & Li, Kaiyang & Hao, Junhong & Kong, Yanqiang & Zhang, Naiqiang, 2024. "Experimental and numerical study of thermal coupling on catalyst-coated membrane for proton exchange membrane water electrolyzer," Applied Energy, Elsevier, vol. 357(C).
    20. 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).

    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:gam:jeners:v:17:y:2024:i:3:p:762-:d:1333961. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.