Suitable porous electrode design may play a significant role in the performance enhancement of solid oxide fuel cells (SOFCs). In this paper a genetic algorithm optimization method is employed to design electrodes based on a 2D planar SOFC model development. The objective is to find suitable porosities and particle sizes distributions for both anode and cathode electrodes so that the cell performance can be maximized. The results indicate that the optimized heterogeneous morphology may better improve SOFC performance than the homogeneous counterpart, particularly under relatively high current density conditions. The optimization results are dependent on the operating conditions. The effects of inlet mass flow rates and fuel compositions are investigated. The proposed approach provides a systematical method for electrode microstructure designs of high performance SOFCs.
Skip Nav Destination
xue@cec.sc.edu
Article navigation
December 2011
This article was originally published in
Journal of Fuel Cell Science and Technology
Research Papers
Microstructure Optimization Designs for Anode-Supported Planar Solid Oxide Fuel Cells
Junxiang Shi,
Junxiang Shi
Department of Mechanical Engineering,
University of South Carolina
, Columbia, SC 29208
Search for other works by this author on:
Xingjian Xue
Xingjian Xue
Department of Mechanical Engineering,
xue@cec.sc.edu
University of South Carolina
, Columbia, SC 29208
Search for other works by this author on:
Junxiang Shi
Department of Mechanical Engineering,
University of South Carolina
, Columbia, SC 29208
Xingjian Xue
Department of Mechanical Engineering,
University of South Carolina
, Columbia, SC 29208xue@cec.sc.edu
J. Fuel Cell Sci. Technol. Dec 2011, 8(6): 061006 (8 pages)
Published Online: September 26, 2011
Article history
Received:
October 20, 2010
Revised:
July 1, 2011
Online:
September 26, 2011
Published:
September 26, 2011
Citation
Shi, J., and Xue, X. (September 26, 2011). "Microstructure Optimization Designs for Anode-Supported Planar Solid Oxide Fuel Cells." ASME. J. Fuel Cell Sci. Technol. December 2011; 8(6): 061006. https://doi.org/10.1115/1.4004642
Download citation file:
Get Email Alerts
Cited By
Synthesis of Proton Conducting and Highly Stable PWA-ZRP-Doped Composite Membrane for Proton Exchange Membrane Fuel Cell
J. Electrochem. En. Conv. Stor (May 2023)
Physicochemical Properties of N,N-Diethylethanolammonium Chloride/Ethylene Glycol-Based Deep Eutectic Solvent for Replacement of Ionic Liquid
J. Electrochem. En. Conv. Stor (May 2023)
Analysis on Electrochemical CO2 Reduction by Diamond Doping Technology
J. Electrochem. En. Conv. Stor (May 2023)
Related Articles
Microscale Correlations Adoption in Solid Oxide Fuel Cell
J. Fuel Cell Sci. Technol (August,2015)
Monte Carlo Investigation of Particle Properties Affecting TPB Formation and Conductivity in Composite Solid Oxide Fuel Cell Electrode-Electrolyte Interfaces
J. Fuel Cell Sci. Technol (October,2011)
Adjoint-Based Sensitivity Analysis and Error Correction Methods Applied to Solid Oxide Fuel Cells
J. Fuel Cell Sci. Technol (May,2009)
Application of an Anode Model to Investigate Physical Parameters in an Internal Reforming Solid-Oxide Fuel Cell
J. Fuel Cell Sci. Technol (May,2005)
Related Proceedings Papers
Related Chapters
An Easy-to-Approach Comprehensive Model and Computation for SOFC Performance and Design Optimization
Inaugural US-EU-China Thermophysics Conference-Renewable Energy 2009 (UECTC 2009 Proceedings)
Optimization of Fuzzy Inference System Using Modified Genetic Algorithm
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)
The Research of Improved Genetic Algorithm Applied in Optimization of Delivery Route with Single Distribution Center and Single-Type Vehicle
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)