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

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

Energy, 2022, vol. 243, issue C

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.

Keywords: Metal hydride hydrogen storage reactor; Hydrogen absorption; Fin-metal foam; Genetic algorithm; High thermal conductivity materials (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054422103293X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:243:y:2022:i:c:s036054422103293x

DOI: 10.1016/j.energy.2021.123044

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().