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A novel modeling scheme of SOFC anodes based on the stochastic reconstruction technique and the Lattice Boltzmann method (LBM) is proposed and evaluated for the performance assessment and optimization of anode microstructures. Cross-sectional microscopy images are processed to obtain two-dimensional phase maps (i.e., Ni, YSZ and pore), of which two-point correlation functions are used to reconstruct a three-dimensional model microstructure. Then, the diffusivity, electrical conductivity and polarization resistance of the reconstructed anode are obtained through the LBM simulation. The predicted tortuosity factors of Ni phase are slightly larger than the experimental result. However, the predicted anodic polarization resistance is in good agreement with the literature data. Thus, the proposed method predicts the anode performance for a given microstructure, and is considered as a promising tool for designing SOFC anodes.

Modeling of Solid Oxide Fuel Cell Anode Using Stochastic Reconsutruction and Lattice Boltzmann Method