Fuzzy-based multi-objective optimization of DMFC system efficiencies

W. Wu; Y. T. Lin

doi:10.1016/j.ijhydene.2010.06.047

Fuzzy-based multi-objective optimization of DMFC system efficiencies

W. Wu, Y. T. Lin

Department of Chemical Engineering

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

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.

Original language	English
Pages (from-to)	9701-9708
Number of pages	8
Journal	International Journal of Hydrogen Energy
Volume	35
Issue number	18
DOIs	https://doi.org/10.1016/j.ijhydene.2010.06.047
Publication status	Published - 2010 Sep 1

All Science Journal Classification (ASJC) codes

Renewable Energy, Sustainability and the Environment
Fuel Technology
Condensed Matter Physics
Energy Engineering and Power Technology

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