Review of hydrogen storage modeling and simulations

Authors

  • Junming Lao School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China
  • Zhenhuan Xie School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China
  • Yiyang Zhou School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China
  • Shuyi Du School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China
  • Weiyao Zhu School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China
  • Hongqing Song School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, P. R. China

Keywords:

Modeling and simulation, underground hydrogen storage, graphene and MOF, metal hydride, high pressure and material damage, hybrid energy system

Abstract

Hydrogen storage is pivotal in the hydrogen industry chain by buffering the extensive hydrogen production from upstream and stabilizing the downstream hydrogen supply, underpinning the global efforts against global warming and extreme climate. Modeling and simulation are imperative approaches to evaluate and predict the reliability of hydrogen storage schemes and prevent repeated costly experiments. Therefore, we perform a critical review on the developments and explorations of hydrogen storage modeling and simulation in the last decade. The review is divided into two themes, where first we review the hydrogen storage schemes, specifically underground hydrogen storage, solid material hydrogen storage, high pressure compression storage and fuel cell on-board storage. Then we review modeling and simulation methods, including hybrid energy system assessments, thermodynamics, molecular dynamics and machine learning. Last but not least, we summarize the research focuses of modeling and simulation in hydrogen storage, clarify the current challenges and propose the future research topics. We undertake this work to advance the explorations of hydrogen storage modeling and simulation and drive the creativity on addressing the current hydrogen storage shortages.

Cited as: Lao, J., Xie, Z., Zhou, Y., Du, S., Zhu, W., Song, H. Review of hydrogen storage modeling and simulations. Computational Energy Science, 2024, 1(1): 28-45. https://doi.org/10.46690/compes.2024.01.04

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2024-03-20

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