Coupling between finite volume method and lattice Boltzmann method and its application to fluid flow and mass transport in proton exchange membrane fuel cell

被引:55
作者
Chen, Li [1 ]
Luan, Huibao [1 ]
Feng, Yongliang [1 ]
Song, Chenxi [1 ]
He, Ya-Ling [1 ]
Tao, Wen-Quan [1 ]
机构
[1] Xi An Jiao Tong Univ, Key Lab Thermofluid Sci & Engn, MOE, Sch Energy & Power Engn, Xian 710049, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Finite volume method; Lattice Boltzmann method; Coupling; Mass transport; Proton exchange membrane fuel cell; HEAT-TRANSFER PROBLEMS; EFFICIENT SEGREGATED ALGORITHM; GAS-DIFFUSION LAYERS; NATURAL-CONVECTION; MATHEMATICAL FORMULATION; RECTANGULAR ENCLOSURE; NUMERICAL-SIMULATION; APPLICATION EXAMPLES; SQUARE CAVITY; 2-PHASE FLOW;
D O I
10.1016/j.ijheatmasstransfer.2012.02.020
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this paper, a concentration distribution function reconstruction operator is derived to lift macroscopic parameter concentration to concentration distribution function in lattice Boltzmann method (LBM). Combined with a density-velocity distribution function reconstruction operator previously derived by the author's group, the coupled finite volume method and LBM scheme (CFVLBM), previously proposed by the authors' group is extended to simulate both fluid flow and mass transport processes. The accuracy of concentration distribution function reconstruction operator and the feasibility of CFVLBM are validated by two numerical examples, diffusion-convection-reaction problem and natural convection in a square cavity induced by concentration gradient. Finally, the CFVLBM is further adopted to simulate fluid flow and mass transport in the gas channel (GC) and gas diffusion layer (GDL) of a proton exchange membrane fuel cell (PEMFC). It is found that the CFVLBM can capture the pore-scale information of fluid flow and species transport in porous GDL and can save the computational resources. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3834 / 3848
页数:15
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