Effect of gradient porosity and catalyst loading on the performance of direct methanol fuel cell with ordered electrode

Constructing the ordered catalyst layer is one of the most effective strategies to maximize the catalyst utilization in direct methanol fuel cells. To gain insight into the mass and charge transports in ordered catalyst layer, herein, a 2D two-phase mass-transport model involving Knudsen diffusion was proposed. It is found that the simulation results of the model with Knudsen diffusion are more consistent with the experimental results than that of the model without Knudsen diffusion. It has been demonstrated that higher porosity near the oxygen diffusion layer facilitates the oxygen transport, and the optimal porosity is obtained by balancing mass and charge transport resistances in the ordered catalyst layer. In contrast, higher catalyst loading near membrane improves the cell performance significantly. The highest peak power density of 56.5 mW cm-2 is achieved, when the catalyst loading of the outer and inner layer is 0.15 mg cm-2 and 0.85 mg cm-2, respectively.

Comparison of Finite Difference and Finite Volume Simulations for a Sc-Drying Mass Transport Model

Different numerical solutions of a previously developed mass transport model for supercritical drying of aerogel particles in a packed bed [Part 1: Selmer et al. 2018, Part 2: Selmer et al. 2019] are compared. Two finite difference discretizations and a finite volume method were used. The finite volume method showed a higher overall accuracy, in the form of lower overall Euclidean norm (l2) and maximum norm (l∞) errors, as well as lower mole balance errors compared to the finite difference methods. Additionally, the finite volume method was more efficient when the condition numbers of the linear systems to be solved were considered. In case of fine grids, the computation time of the finite difference methods was slightly faster but for 16 or fewer nodes the finite volume method was superior. Overall, the finite volume method is preferable for the numerical solution of the described drying model for aerogel particles in a packed bed.