3D multi-physics modeling of a gas diffusion electrode for oxygen reduction reaction for electrochemical energy conversion in PEM fuel cells

被引：22

作者：

Vasile, Nicolo S. ^{[1
]}

Doherty, Ronan ^{[2
]}

Videla, Alessandro H. A. Monteverde ^{[1
]}

Specchia, Stefania ^{[1
]}

机构：

[1] Politecn Torino, Dept Appl Sci & Technol, Corso Duca Abruzzi 24, I-10129 Turin, Italy

[2] Univ Strathclyde, Dept Chem & Proc Engn, 75 Montrose St, Glasgow G1 1XJ, Lanark, Scotland

来源：

APPLIED ENERGY | 2016年 / 175卷

关键词：

3D multi-physics modeling; Gas diffusion electrode; Oxygen reduction reaction; Pt catalyst; Fe-N-C catalyst; Electrochemical energy conversion; CATHODE CATALYST LAYER; ROTATING-DISK ELECTRODE; METHANOL CROSS-OVER; TEMPERATURE-DEPENDENCE; POROUS-ELECTRODES; NUMERICAL-SIMULATION; FLOW CHANNEL; PERFORMANCE; TRANSPORT; SURFACE;

D O I：

10.1016/j.apenergy.2016.04.030

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

A 3D multi-physics, multi-component and not isothermal model is developed to analyze the effects of catalyst structures on the performance of a gas diffusion electrode (GDE) cell toward the oxygen reduction reaction using dry oxygen as a reactant. The model includes Stokes-Brinkman, Maxwell-Stefan, and modified Butler-Volmer equations for simulating the performance of the GDE cell, solved by Comsol (R) Multiphysics v4.4a platform. The model is validated against experimental data, showing congruent and convergent responses for different electrodes based on noble and non-noble metals catalysts, confirming the accuracy of the model and the equations applied. The use of a 3D model incorporating porous materials can be used for evaluating mass transport and diffusivity parameters of the electrocatalyst, identifying the controlling variable in the process. The model can be used as an optimization tool for further improvement of catalyst synthesis, suggesting which properties can be tuned to improve the overall performance in the catalyst design.phase. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：435 / 450

页数：16

共 73 条

[21] Thermal modelling of the cathode in air-breathing PEM fuel cells [J].

Ismail, M. S. ;

Ingham, D. B. ;

Hughes, K. J. ;

Ma, L. ;

Pourkashanian, M. .

APPLIED ENERGY, 2013, 111 :529-537

[22] Effects of anisotropic permeability and electrical conductivity of gas diffusion layers on the performance of proton exchange membrane fuel cells [J].

Ismail, M. S. ;

Hughes, K. J. ;

Ingham, D. B. ;

Ma, L. ;

Pourkashanian, M. .

APPLIED ENERGY, 2012, 95 :50-63

[23] Oxygen reduction activities compared in rotating-disk electrode and proton exchange membrane fuel cells for highly active Fe-N-C catalysts [J].

Jaouen, F. ;

Goellner, V. ;

Lefevre, M. ;

Herranz, J. ;

Proietti, E. ;

Dodelet, J. P. .

ELECTROCHIMICA ACTA, 2013, 87 :619-628

[24] Recent advances in non-precious metal catalysis for oxygen-reduction reaction in polymer electrolyte fuel cells [J].

Jaouen, Frederic ;

Proietti, Eric ;

Lefevre, Michel ;

Chenitz, Regis ;

Dodelet, Jean-Pol ;

Wu, Gang ;

Chung, Hoon Taek ;

Johnston, Christina Marie ;

Zelenay, Piotr .

ENERGY & ENVIRONMENTAL SCIENCE, 2011, 4 (01) :114-130

[25]

Kinoshita K., 1992, ELECTROCHEMICAL OXYG, P19

[26] Direct methanol-hydrogen fuel cell: The mechanism of functioning [J].

Kulikovsky, A. A. .

ELECTROCHEMISTRY COMMUNICATIONS, 2008, 10 (09) :1415-1418

[27] Porous electrodes in the presence of a concentration gradient [J].

Lasia, A .

JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 1997, 428 (1-2) :155-164

[28] Modeling of Low-Temperature Fuel Cell Electrodes Using Non-Precious Metal Catalysts [J].

Leonard, Nathaniel D. ;

Artyushkova, Kateryna ;

Halevi, Barr ;

Serov, Alexey ;

Atanassov, Plamen ;

Barton, Scott Calabrese .

JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2015, 162 (10) :F1253-F1261

[29] Temperature dependence of the oxygen reduction kinetics on RuxSey/C catalysts [J].

Leveratto, D. ;

Racz, A. ;

Savinova, E. R. ;

Stimming, U. .

FUEL CELLS, 2006, 6 (3-4) :203-207

[30] Morphological Analyses of Polymer Electrolyte Fuel Cell Electrodes with Nano-Scale Computed Tomography Imaging [J].

Litster, S. ;

Epting, W. K. ;

Wargo, E. A. ;

Kalidindi, S. R. ;

Kumbur, E. C. .

FUEL CELLS, 2013, 13 (05) :935-945

← 1 2 3 4 5 6 7 8 →