Effective thermal conductivity of metal hydride particle bed: Theoretical model and experimental validation

Xiao-Shuai Bai, Long Rong, Wei-Wei Yang and Fu-Sheng Yang

Energy, 2023, vol. 271, issue C

Abstract: It is essential to accurately predict the effective thermal conductivities of metal hydride (MH) beds for simulating the dynamic hydrogen storage of MH reactors. In this study, a 3-D analysis model was established to detailedly analyze the contributions of different heat transfer pathways on overall heat transfer of particle bed. The results indicate more than 95% heat quantity is transferred through the particle-gas film-particle pathway. Besides, taking the LaNi5 particle bed (λs equals 12.5 Wm−1K−1) as an example, only 26.2% gas volume contributes to transferring 90% heat quantity, proving the existence of heat transfer concentrating (HTC). Thus, a heat transfer concentrating model for predicting effective thermal conductivities of particle beds was established. The predicted thermal conductivities of HTC model were compared with six different models and the experimental data in references. The prediction accuracy and applicability of HTC model are the best. Then, the thermal conductivities of LaNi5 and Fe particle beds were experimentally measured. The predicted thermal conductivities by HTC model agree great with the experimental data, and the mean prediction errors are less than 7%. Finally, the HTC model is applicable within the porosity and thermal conductivity ratio from 0.33 to 0.68 and 1 to 8915, respectively.

Keywords: Thermal conductivity model; Metal hydride; Particle bed; LaNi5; Experiment (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:271:y:2023:i:c:s0360544223004796

DOI: 10.1016/j.energy.2023.127085

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