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Parametric optimization of coupled fin-metal foam metal hydride bed towards enhanced hydrogen absorption performance of metal hydride hydrogen storage device

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  • Bai, Xiao-Shuai
  • Yang, Wei-Wei
  • Tang, Xin-Yuan
  • Dai, Zhou-Qiao
  • Yang, Fu-Sheng

Abstract

The optimal arrangement form of a certain amount of high thermal conductivity materials for getting the best heat transfer rate and uniformity in metal hydride reactor needs to be investigated. In this work, the coupled fin-metal foam metal hydride reactor was proposed and investigated using a 3D multi-physical model. Thermal resistance analysis showed that the thermal resistance of fin-metal foam reactor was below 0.0099K/W, which was lower than that of metal foam reactor of 0.01035K/W and fin reactor of 0.0235K/W. Furthermore, Genetic Algorithm was used to optimize the proportions of fin and metal foam in fin-metal foam reactors under a certain amount of high thermal conductivity materials. The comparison results showed that the charging time for 90% saturation of optimized fin-metal foam reactor was decreased by 6.9% and 38% compared with metal foam reactor and fin reactor, respectively. It was indicated that the optimal fin volume ratios of optimized fin-metal foam reactors maintained around 0.4 under different volumetric fractions of high thermal conductivity materials. Besides, considering the trade-off between hydrogen storage rate and hydrogen storage capacity, the optimal volumetric fraction of high thermal conductivity materials for obtaining the best comprehensive hydrogen absorption performance of optimized fin-metal foam reactor approximately equaled 0.08.

Suggested Citation

  • Bai, Xiao-Shuai & Yang, Wei-Wei & Tang, Xin-Yuan & Dai, Zhou-Qiao & Yang, Fu-Sheng, 2022. "Parametric optimization of coupled fin-metal foam metal hydride bed towards enhanced hydrogen absorption performance of metal hydride hydrogen storage device," Energy, Elsevier, vol. 243(C).
    • Handle: RePEc:eee:energy:v:243:y:2022:i:c:s036054422103293x
    DOI: 10.1016/j.energy.2021.123044
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    References listed on IDEAS

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    8. Zhu, Chen & Mou, Xiaofeng & Bao, Zewei, 2024. "Optimization of tree-shaped fin structures towards enhanced discharging performance of metal hydride reactor for thermochemical heat storage based on entransy theory," Renewable Energy, Elsevier, vol. 220(C).
    9. Bai, Xiao-Shuai & Su, Ju-Wen & Liu, Zhao & Qu, Zhi-Guo & Yang, Wei-Wei, 2024. "Heat transfer optimization for MH reactor using combined taguchi design and data-driven optimization method," Energy, Elsevier, vol. 307(C).
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    13. Zheng, Shuaishuai & Wang, Yuqi & Wang, Di & Guan, Sinan & Liu, Ying & Wang, Feng & Zheng, Lan & Wu, Le & Gao, Xiong & Zhang, Zaoxiao, 2023. "Design and performance study on the primary & secondary helical-tube reactor," Energy, Elsevier, vol. 263(PD).
    14. Lanbaran, Davoud Abdi & Kojour, Pouria Farokhi & Wang, Chao & Wen, Chuang & Wu, Zhen & Tian, Mi & Li, Bo, 2025. "Numerical investigation of pulsed heating effects on MgH2 desorption kinetics and thermal efficiency in solid-state hydrogen storage," Applied Energy, Elsevier, vol. 401(PA).
    15. Bai, Xiao-Shuai & Rong, Long & Yang, Wei-Wei & Yang, Fu-Sheng, 2023. "Effective thermal conductivity of metal hydride particle bed: Theoretical model and experimental validation," Energy, Elsevier, vol. 271(C).
    16. Tian, Ying & Han, Jin & Bu, Yu & Qin, Chuan, 2023. "Simulation and analysis of fire and pressure reducing valve damage in on-board liquid hydrogen system of heavy-duty fuel cell trucks," Energy, Elsevier, vol. 276(C).
    17. Nemati, H. & Souriaee, V. & Habibi, M. & Vafai, Kambiz, 2023. "Design and Taguchi-based optimization of the latent heat thermal storage in the form of structured porous-coated pipe," Energy, Elsevier, vol. 263(PD).

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