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February 12, 2026Processes0 citationsOpen Access

Numerical Simulation and Parametric Optimization for Enhanced Hydrogen Adsorption/Desorption in Metal Hydride Tanks

JFJie FanXGXiaomei GuoYHYanzhong Huang

Key Points

  • The study aims to identify and optimize parameters affecting hydrogen adsorption and desorption in metal hydride systems.
  • Developed a two-dimensional axisymmetric numerical model
  • Validated model against previous experimental data
  • Analyzed parameter sensitivity and coupling effects on performance
  • Initial temperature of 303 K reduces adsorption time by 30% compared to 323 K
  • Desorption time decreases by 50% at 323 K
  • Optimal adsorption pressure identified as 8–10 bar
  • 0.4 bar outlet pressure shortens desorption time by 37%
  • Improved heat transfer significantly enhances reaction times; porosity has lesser effects

Abstract

This study aims to clarify the influence mechanisms of core operating and structural parameters and provide targeted theoretical support for the optimized design and industrial application of metal hydride (MH) hydrogen storage systems. For this purpose, a two-dimensional axisymmetric numerical model was established to characterize the MH adsorption/desorption processes, which was validated by its consistency with previous experimental data. The innovation lies in clarifying the optimization sensitivity and priority of each parameter in the hydrogen adsorption and desorption processes and further revealing the intrinsic mechanism of parameter coupling on the system’s reaction and thermal performance. Results show that the initial temperature is most critical: 303 K shortens adsorption time by 30% (vs. 323 K), while 323 K cuts desorption time by 50%. Optimal adsorption pressure is 8–10 bar; 0.4 bar outlet pressure reduces desorption time by 37%. Enhancing heat transfer and thermal conductivity significantly shortens reaction times, while porosity has a limited impact. These findings advance the fundamental understanding of metal hydride systems and facilitate their transition from laboratory-scale research to industrial implementation.

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Cite This Study

Fan et al. (2026) studied this question.

synapsesocial.com/papers/698d6f5f5be6419ac0d55313https://doi.org/10.3390/pr14040611
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