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Optimization Design of Rib Width and Performance Analysis of Solid Oxide Electrolysis Cell

Author

Listed:
  • Meiting Guo

    (Department of Physics, University of Science and Technology of China, No. 96, JinZhai Road, Hefei 230026, China)

  • Xiao Ru

    (Hefei National Laboratory for Physical Sciences at Microscale, University of Science and Technology of China, No. 96, JinZhai Road, Hefei 230026, China)

  • Zijing Lin

    (Department of Physics, University of Science and Technology of China, No. 96, JinZhai Road, Hefei 230026, China
    Hefei National Laboratory for Physical Sciences at Microscale, University of Science and Technology of China, No. 96, JinZhai Road, Hefei 230026, China
    CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics, University of Science and Technology of China, No. 96, JinZhai Road, Hefei 230026, China)

  • Guoping Xiao

    (Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China)

  • Jianqiang Wang

    (Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China)

Abstract

Structure design is of great value for the performance improvement of solid oxide electrolysis cells (SOECs) to diminish the gap between scientific research and industrial application. A comprehensive multi-physics coupled model is constructed to conduct parameter sensitivity analysis to reveal the primary and secondary factors on the SOEC performance and optimal rib width. It is found that the parameters of the O 2 electrode have almost no influence on the optimal rib width at the H 2 electrode side and vice versa. The optimized rib width is not sensitive to the electrode porosity, thickness, electrical conductivity and gas composition. The optimal rib width at the H 2 electrode side is sensitive to the contact resistance at the interface between the electrode and interconnect rib, while the extremely small concentration loss at the O 2 electrode leads to the insensitivity of optimal rib width to the parameters influencing the O 2 diffusion. In addition to the contact resistance, the applied cell voltage and pitch width also has a dramatic influence on the optimal rib width of the fuel electrode. An analytical expression considering the influence of total cell polarization loss, the pitch width and the contact resistance is further developed for the benefit of the engineering society. The maximum error in the cell performance between the numerically obtained and analytically acquired optimal rib width is only 0.14% and the predictive power of the analytical formula is fully verified.

Suggested Citation

  • Meiting Guo & Xiao Ru & Zijing Lin & Guoping Xiao & Jianqiang Wang, 2020. "Optimization Design of Rib Width and Performance Analysis of Solid Oxide Electrolysis Cell," Energies, MDPI, vol. 13(20), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5468-:d:431420
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    References listed on IDEAS

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    1. Wei Kong & Xiang Gao & Shixue Liu & Shichuan Su & Daifen Chen, 2014. "Optimization of the Interconnect Ribs for a Cathode-Supported Solid Oxide Fuel Cell," Energies, MDPI, vol. 7(1), pages 1-19, January.
    2. Shixue Liu & Wei Kong & Zijing Lin, 2009. "A Microscale Modeling Tool for the Design and Optimization of Solid Oxide Fuel Cells," Energies, MDPI, vol. 2(2), pages 1-18, June.
    3. Baldinelli, Arianna & Barelli, Linda & Bidini, Gianni, 2015. "Performance characterization and modelling of syngas-fed SOFCs (solid oxide fuel cells) varying fuel composition," Energy, Elsevier, vol. 90(P2), pages 2070-2084.
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    Cited by:

    1. Zheng Li & Guogang Yang & Qiuwan Shen & Shian Li & Hao Wang & Jiadong Liao & Ziheng Jiang & Guoling Zhang, 2022. "Transient Multi-Physics Modeling and Performance Degradation Evaluation of Direct Internal Reforming Solid Oxide Fuel Cell Focusing on Carbon Deposition Effect," Energies, MDPI, vol. 16(1), pages 1-20, December.
    2. Liu, Hongwei & Shuai, Wei & Yao, Zhen & Xuan, Jin & Ni, Meng & Xiao, Gang & Xu, Haoran, 2025. "Optimization of solid oxide electrolysis cells using concentrated solar-thermal energy storage: A hybrid deep learning approach," Applied Energy, Elsevier, vol. 377(PC).
    3. Shangzhe Yu & Shidong Zhang & Dominik Schäfer & Roland Peters & Felix Kunz & Rüdiger-A. Eichel, 2023. "Numerical Modeling and Simulation of the Solid Oxide Cell Stacks and Metal Interconnect Oxidation with OpenFOAM," Energies, MDPI, vol. 16(9), pages 1-22, April.

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