Evaluation and modeling of performance of anode-supported solid oxide fuel cell

Low-Temperature, Anode-Supported High Power Density Solid Oxide Fuel Cells With Nanostructured Electrodes

“…This also suggests that Ni + YSZ is not a very good anode for CO as the fuel. Indeed, it has been reported in the literature that the electrochemical reaction rate of CO is slower than that of H 2 by at least a factor of two [21]. Comparison of performance curves for H 2 -H 2 O mixtures with CO-CO 2 mixtures from Figures 5 and 6 shows that the lower performance with CO-CO 2 mixtures cannot be attributed entirely to concentration polarization.…”

Comparison of humidified hydrogen and partly pre-reformed natural gas as fuel for solid oxide fuel cells applying computational fluid dynamics

“…The Knudsen diffusion is only relevant in the electrodes. Moreover, molecular diffusion in the cathode is usually binary (because the oxidant is oxygen from air (assumed to be made up of only O 2 and N 2 )), while in the anode it may be binary or multicomponent, depending on the fuel mixture (for humidified [7] compared in 1D and 2D, the Dusty Gas model and the Stefan-Maxwell model, and found that at high hydrogen utilization and high current densities the Dusty Gas model was the most accurate in terms of validation against experimental results by Yakabe et al [31] in both 1D and 2D. As the average current density increased, the differences between the 2D Dusty Gas model and the other models became more prominent.…”

Numerical modelling of a microreactor for thermocatalytic decomposition of toxic compounds

“…In the case of a multicomponent mixture flowing through a microchannel, an effective diffusion coefficient should include molecular and Knudsen effects, by using a Bosanquet-type approximation (Yakabe et al, 2000;Mu et al, 2008):…”

“…The molecular diffusion coefficient is derived from a binary diffusion coefficient D kl through the simplified formula (Yakabe et al, 2000):…”