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Design and energy consumption research of an integrated air supply device for multi-stack fuel cell systems

Author

Listed:
  • Zhou, Su
  • Xie, Zhengchun
  • Chen, Chunguang
  • Zhang, Gang
  • Guo, Junhua

Abstract

The multi-stack fuel cell system (MFCS) could be widely used in high-power application scenarios because of its higher efficiency, stronger robustness and longer life. For a specific application scenario, an integrated air supply device is designed to meet the air demand of each fuel cell stack by maintaining the air pressure in the buffer. Under different buffer pressure control strategies (for example, constant pressure control and hybrid control), the maximum electrical power and electrical power consumption of the integrated air supply device for the MFCS are analyzed. The results show that compared with the single-stack scheme, the integrated air supply device can significantly reduce the maximum electric power and the electric power consumption. Using the 140 kW, 210 kW, and 280 kW MFCS as examples, with the increase of the power level of the fuel cell system, the benefits of the designed integrated air supply device become increasingly apparent.

Suggested Citation

  • Zhou, Su & Xie, Zhengchun & Chen, Chunguang & Zhang, Gang & Guo, Junhua, 2022. "Design and energy consumption research of an integrated air supply device for multi-stack fuel cell systems," Applied Energy, Elsevier, vol. 324(C).
  • Handle: RePEc:eee:appene:v:324:y:2022:i:c:s0306261922009989
    DOI: 10.1016/j.apenergy.2022.119704
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    References listed on IDEAS

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    1. Li, Yuehua & Pei, Pucheng & Ma, Ze & Ren, Peng & Huang, Hao, 2020. "Analysis of air compression, progress of compressor and control for optimal energy efficiency in proton exchange membrane fuel cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    2. Zaccaria, V. & Tucker, D. & Traverso, A., 2017. "Operating strategies to minimize degradation in fuel cell gas turbine hybrids," Applied Energy, Elsevier, vol. 192(C), pages 437-445.
    3. Othman, Ahmed M. & El-Fergany, Attia A., 2021. "Optimal dynamic operation and modeling of parallel connected multi-stacks fuel cells with improved slime mould algorithm," Renewable Energy, Elsevier, vol. 175(C), pages 770-782.
    4. Sulaiman, N. & Hannan, M.A. & Mohamed, A. & Ker, P.J. & Majlan, E.H. & Wan Daud, W.R., 2018. "Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations," Applied Energy, Elsevier, vol. 228(C), pages 2061-2079.
    5. Zhang, Tong & Wang, Peiqi & Chen, Huicui & Pei, Pucheng, 2018. "A review of automotive proton exchange membrane fuel cell degradation under start-stop operating condition," Applied Energy, Elsevier, vol. 223(C), pages 249-262.
    6. Hou, Junbo & Yang, Min & Ke, Changchun & Zhang, Junliang, 2020. "Control logics and strategies for air supply in PEM fuel cell engines," Applied Energy, Elsevier, vol. 269(C).
    7. Zhou, Su & Fan, Lei & Zhang, Gang & Gao, Jianhua & Lu, Yanda & Zhao, Peng & Wen, Chaokai & Shi, Lin & Hu, Zhe, 2022. "A review on proton exchange membrane multi-stack fuel cell systems: architecture, performance, and power management," Applied Energy, Elsevier, vol. 310(C).
    8. Kwan, Trevor Hocksun & Wu, Xiaofeng & Yao, Qinghe, 2018. "Multi-objective genetic optimization of the thermoelectric system for thermal management of proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 217(C), pages 314-327.
    9. Petrone, Giovanni & Zamboni, Walter & Spagnuolo, Giovanni, 2019. "An interval arithmetic-based method for parametric identification of a fuel cell equivalent circuit model," Applied Energy, Elsevier, vol. 242(C), pages 1226-1236.
    10. Duan, Hao & Zhang, Caizhi & Wang, Gucheng & Chen, Yu'an & Liu, Zhixiang & Xie, Xianshu & Shuai, Qi, 2022. "Experimental study of the dynamic and transient characteristics of sub-health fuel cell multi-stack systems without DC/DC," Energy, Elsevier, vol. 238(PC).
    11. Chen, Huicui & Liu, Zhao & Ye, Xichen & Yi, Liu & Xu, Sichen & Zhang, Tong, 2022. "Air flow and pressure optimization for air supply in proton exchange membrane fuel cell system," Energy, Elsevier, vol. 238(PC).
    12. Feng, Yanbiao & Dong, Zuomin, 2020. "Integrated design and control optimization of fuel cell hybrid mining truck with minimized lifecycle cost," Applied Energy, Elsevier, vol. 270(C).
    13. Zhou, Su & Zhang, Gang & Fan, Lei & Gao, Jianhua & Pei, Fenglai, 2022. "Scenario-oriented stacks allocation optimization for multi-stack fuel cell systems," Applied Energy, Elsevier, vol. 308(C).
    14. Herr, Nathalie & Nicod, Jean-Marc & Varnier, Christophe & Jardin, Louise & Sorrentino, Antonella & Hissel, Daniel & Péra, Marie-Cécile, 2017. "Decision process to manage useful life of multi-stacks fuel cell systems under service constraint," Renewable Energy, Elsevier, vol. 105(C), pages 590-600.
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