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

Qiang Ma, Zhenqian Chen, and Hao Liu
Phys. Rev. E 96, 013313 – Published 21 July 2017

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.

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  • Received 11 October 2016
  • Revised 5 June 2017

DOI:https://doi.org/10.1103/PhysRevE.96.013313

©2017 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

Qiang Ma1,2,3, Zhenqian Chen3,*, and Hao Liu2,†

  • 1Institute for Energy Research, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, People's Republic of China
  • 2Faculty of Engineering, University of Nottingham, University Park, Nottingham NG72RD, United Kingdom
  • 3Jiangsu Provincial Key Laboratory of Solar Energy Science and Technology, School of Energy and Environment, Nanjing 210096, People's Republic of China

  • *zqchen@seu.edu.cn
  • liu.hao@nottingham.ac.uk

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Vol. 96, Iss. 1 — July 2017

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