Study of CO2 desublimation during cryogenic carbon capture using the lattice Boltzmann method

Timan Lei, Kai H. Luo, Francisco Hernandez Perez, Geng Wang, Zhen Wang, Juan Restrepo-Cano, Hong G. Im

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Cryogenic carbon capture (CCC) can preferentially desublimate CO2 out of the flue gas. A widespread application of CCC requires a comprehensive understanding of CO2 desublimation properties. This is, however, highly challenging due to the multiphysics behind it. This study proposes a lattice Boltzmann (LB) model to study CO2 desublimation on a cooled cylinder surface during CCC. In two-dimensional (2-D) simulations, various CO2 desublimation and capture behaviours are produced in response to different operation conditions, namely, gas velocity (Péclet number Pe) and cylinder temperature (subcooling degree ΔTsub). As Pe increases or ΔTsub decreases, the desublimation rate gradually becomes insufficient compared with the CO2 supply via convection/diffusion. Correspondingly, the desublimated solid CO2 layer (SCL) transforms from a loose (i.e. cluster-like, dendritic or incomplete) structure to a dense one. Four desublimation regimes are thus classified as diffusion-controlled, joint-controlled, convection-controlled and desublimation-controlled regimes. The joint-controlled regime shows quantitatively a desirable CO2 capture performance: fast desublimation rate, high capture capacity, and full cylinder utilization. Regime distributions are summarized on a Pe – ΔTsub space to determine operation parameters for the joint-controlled regime. Moreover, three-dimensional simulations demonstrate four similar desublimation regimes, verifying the reliability of 2-D results. Under regimes with loose SCLs, however, the desublimation process shows an improved CO2 capture performance in three dimensions. This is attributed to the enhanced availability of gas–solid interface and flow paths. This work develops a reliable LB model to study CO2 desublimation, which can facilitate applications of CCC for mitigating climate change.
Original languageEnglish (US)
JournalJournal of Fluid Mechanics
Volume964
DOIs
StatePublished - May 23 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-05-26
Acknowledgements: This work was supported by the UK Engineering and Physical Sciences Research Council under the grant nos EP/T015233/1 and EP/W026260/1, as well as by King Abdullah University of Science and Technology (KAUST). The supercomputing time was provided by the UK Consortium on Mesoscale Engineering Sciences (UKCOMES) (EPSRC grant nos EP/R029598/1 and EP/X035875/1). This work made use of computational support by CoSeC, the Computational Science Centre for Research Communities, through UKCOMES.

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Condensed Matter Physics

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