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Analysis of the kinetics of methanol oxidation in a porous Pt-Ru anode

Lookup NU author(s): Professor Yan-Ping Sun, Emeritus Professor Keith Scott

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Abstract

A kinetic model of a porous Pt-Ru anode for methanol oxidation is presented. It was based on the dual-site mechanism for methanol oxidation and used to predict anode performance and the influence of species adsorption on the overall oxidation (macro-) kinetics. The performance of the porous Pt-Ru anode depended on the parameters of the intrinsic chemical kinetics of methanol oxidation and physical parameters such as electrode thickness, surface area, effective diffusion and charge transfer coefficients and concentration of methanol and temperature. The model was solved by using the finite difference method with a subroutine for solving a set of nonlinear algebraic equations in each step. Surface coverage ratio distributions of adsorbed species, effectiveness of the porous electrode and macro-polarisation curves were obtained. The simulated polarisation curves were compared to experimental polarisation data for methanol oxidation on Pt-Ru porous anodes at different temperatures and methanol concentrations. The intrinsic kinetic parameters were regressed from the corresponding experimental data. The predicted polarisation curves calculated by the model, were consistent with experimental polarisation data at lower current densities. The departure of experimental data from the predicted polarisation curves at high concentration and high apparent current densities was believed to be due to two-phase flow in the electrode. (C) 2009 Elsevier B. V. All rights reserved.


Publication metadata

Author(s): Sun YP, Xing L, Scott K

Publication type: Article

Publication status: Published

Journal: Journal of Power Sources

Year: 2010

Volume: 195

Issue: 1

Pages: 1-10

Print publication date: 01/01/2010

ISSN (print): 0378-7753

ISSN (electronic): 1873-2755

Publisher: Elsevier

URL: http://dx.doi.org/10.1016/j.jpowsour.2009.07.028

DOI: 10.1016/j.jpowsour.2009.07.028


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Funding

Funder referenceFunder name
20776091China National Natural Science foundation

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