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Using an ILU/Deflation Preconditioner for Simulation of a PEM Fuel Cell Cathode Catalyst Layer

Published online by Cambridge University Press:  03 June 2015

Kyle J. Lange ,
Pang-Chieh Sui  and
Ned Djilali
Kyle J. Lange*
Affiliation:
Institute of Integrated Energy Systems, University of Victoria, BC, Canada Currently at Lawrence Livermore National Laboratory, Livermore, CA, USA
Pang-Chieh Sui*
Affiliation:
Institute of Integrated Energy Systems, University of Victoria, BC, Canada
Ned Djilali*
Affiliation:
Institute of Integrated Energy Systems, University of Victoria, BC, Canada Department of Mechanical Engineering, University of Victoria, BC, Canada
*
Corresponding author.Email:lange9@llnl.gov
Email:jsui@uvic.ca
Email:ndjilali@uvic.ca
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Abstract

Numerical aspects of a pore scale model are investigated for the simulation of catalyst layers of polymer electrolyte membrane fuel cells. Coupled heat, mass and charged species transport together with reaction kinetics are taken into account using parallelized finite volume simulations for a range of nanostructured, computationally reconstructed catalyst layer samples. The effectiveness of implementing deflation as a second stage preconditioner generally improves convergence and results in better convergence behavior than more sophisticated first stage pre-conditioners. This behavior is attributed to the fact that the two stage preconditioner updates the preconditioning matrix at every GMRES restart, reducing the stalling effects that are commonly observed in restarted GMRES when a single stage preconditioner is used. In addition, the effectiveness of the deflation preconditioner is independent of the number of processors, whereas the localized block ILU preconditioner deteriorates in quality as the number of processors is increased. The total number of GMRES search directions required for convergence varies considerably depending on the preconditioner, but also depends on the catalyst layer microstructure, with low porosity microstructures requiring a smaller number of iterations. The improved model and numerical solution strategy should allow simulations for larger computational domains and improve the reliability of the predicted transport parameters. The preconditioning strategies presented in the paper are scalable and should prove effective for massively parallel simulations of other problems involving nonlinear equations.

Keywords

65F0865F1065F1565F50DeflationPEM fuel cellcatalyst layerpore scale modelporous mediapreconditioner

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Type
Research Article
Information
Communications in Computational Physics , Volume 14 , Issue 3 , September 2013 , pp. 537 - 573
Copyright
Copyright © Global Science Press Limited 2013

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