Multiple-relaxation-time lattice Boltzmann simulation for flow, mass transfer, and adsorption in porous media

Ma, Qiang, Chen, Zhenqian and Liu, Hao (2017) Multiple-relaxation-time lattice Boltzmann simulation for flow, mass transfer, and adsorption in porous media. Physical Review E, 96 (1). 013313/1-013313/14. ISSN 2470-0045

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Abstract

In this paper, to predict the dynamics behaviors of flow and mass transfer with adsorption phenomena in porous media at the representative elementary volume (REV) scale, a multiple-relaxation-time (MRT) lattice Boltzmann (LB) model for the convection-diffusion equation is developed to solve the transfer problem with an unsteady source term in porous media. Utilizing the Chapman-Enskog analysis, the modified MRT-LB model can recover the macroscopic governing equations at the REV scale. The coupled MRT-LB model for momentum and mass transfer is validated by comparing with the finite-difference method and the analytical solution. Moreover, using the MRT-LB method coupled with the linear driving force model, the fluid transfer and adsorption behaviors of the carbon dioxide in a porous fixed bed are explored. The breakthrough curve of adsorption from MRT-LB simulation is compared with the experimental data and the finite-element solution, and the transient concentration distributions of the carbon dioxide along the porous fixed bed are elaborated upon in detail. In addition, the MRT-LB simulation results show that the appearance time of the breakthrough point in the breakthrough curve is advanced as the mass transfer resistance in the linear driving force model increases; however, the saturation point is prolonged inversely.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/873475
Additional Information: Qiang Ma, Zhenqian Chen, and Hao Liu, Multiple-relaxation-time lattice Boltzmann simulation for flow, mass transfer, and adsorption in porous media. Phys. Rev. E 96, 013313
Schools/Departments: University of Nottingham, UK > Faculty of Engineering
Identification Number: 10.1103/PhysRevE.96.013313
Depositing User: Eprints, Support
Date Deposited: 16 Aug 2017 10:44
Last Modified: 04 May 2020 18:56
URI: https://eprints.nottingham.ac.uk/id/eprint/44940

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