4.7 Article

Thermal design and heat transfer optimisation of a liquid organic hydrogen carrier batch reactor for hydrogen storage

期刊

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
卷 48, 期 96, 页码 37625-37636

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2023.08.200

关键词

LOHC; Hydrogen storage; Lumped-parameter model; Batch reactor; Design optimisation; Heat transfer

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Liquid organic hydrogen carriers (LOHCs) are considered a promising hydrogen storage technology. This paper describes a procedure to optimize the thermal design of a reactor based on a lumped-parameter model for improved heat transfer performance and minimum power consumption. Heat transfer performance is evaluated using a newly defined dimensionless parameter, the Heat Transfer Ratio (HTR).
Liquid organic hydrogen carriers (LOHCs) are considered a promising hydrogen storage technology. Heat must be exchanged with an external medium, such as a heat transfer fluid, for the required chemical reactions to occur. Batch reactors are simple but useful solutions for small-scale storage applications, which can be modelled with a lumped parameter approach, adequately reproducing their dynamic performance. For such reactors, power is consumed to circulate the external heat transfer fluid and stir the organic liquid inside the reactor, and heat transfer performance and power consumption are two key parameters in reactor optimisation. Therefore, with reference to the hydrogen release phase, this paper describes a procedure to optimise the reactor thermal design, based on a lumped-parameter model, in terms of heat transfer performance and minimum power consumption. Two batch reactors are analysed: a conventional jacketed reactor with agitation nozzles and a half-pipe coil reactor. Heat transfer performance is evaluated by introducing a newly defined dimensionless parameter, the Heat Transfer Ratio (HTR), whose value directly correlates to the heat rate required by the carrier's dehydrogenation reaction. The resulting model is a valid tool for adequately reproducing the hydrogen storage behaviour within dynamic models of complex and detailed energy systems.(c) 2023 The Author(s). Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).

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