Fuzzy-based multi-objective optimization of DMFC system efficiencies |
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Authors: | W. Wu Y.-T. Lin |
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Affiliation: | Department of Chemical and Materials Engineering, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, Taiwan, R.O.C |
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Abstract: | To improve the fuel efficiency and total exergetic efficiency of a non-isothermal direct methanol fuel cell (DMFC) system, the multi-objective optimization problem is addressed in this article. Under incommensurable multiple goals, the fuzzy inference with two-phase procedures is applied for finding the locally Pareto-optimal solution. Through an iterative optimization programming, a piecewise optimal control action is effectively generated at each time period. Finally, the optimal operating manner by manipulating anode inlet temperature is successfully demonstrated by the dynamic simulation. |
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Keywords: | Multi-objective optimization Fuzzy Exergy Direct methanol fuel cell Simulation |
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