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Computational fluid dynamics modelling of expanded metal porous matrix heat exchangers for intensified carbon capture applications

Lookup NU author(s): Dr James HendryORCiD, Emeritus Dr David Reay, Dr Jonathan LeeORCiD



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Expanded Metal Porous Matrix Heat Exchangers (EM-PMHE) use a fin structure based on stacked sheets of expanded metal. This fin structure creates a three-dimensional flow that also enhances heat transfer. EM-PMHEs are of interest for potential applications in carbon-capture processes. Their compact design could intensify heat exchange processes in the amine absorption cycle. The transport properties of EM-PMHEs are also of interest for applications in rotating packed beds, where expanded metal can make an effective packing material. This work examines a EM-PMHE using computational fluid dynamics. The heat transfer prediction of the model is validated against experimental data from literature. A simple 1D model is also presented for comparison. The model is used to evaluate the potential of EM-PMHEs in amine-based carbon-capture applications. The modelling results indicate that EM-PMHEs could be used to achieve intercooling in the rotating packed bed absorber. This would allow amine concentrations to be increased to 70wt% in the carbon-capture process, achieving 2x volume reduction in comparison to conventional amine concentrations. Elsewhere in the carbon-capture process, EM-PMHEs could also achieve an 10x size reduction in the lean/rich heat exchanger, a major item of plant equipment in the carbon capture process.

Publication metadata

Author(s): Hendry J, Reay D, Lee J

Publication type: Article

Publication status: Published

Journal: Thermal Science and Engineering Progress

Year: 2022

Volume: 33

Print publication date: 01/08/2022

Online publication date: 14/06/2022

Acceptance date: 10/06/2022

Date deposited: 10/06/2022

ISSN (print): 2451-9049

Publisher: Elsevier BV


DOI: 10.1016/j.tsep.2022.101373

ePrints DOI: 10.57711/j36r-kd60


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