Fuzzy-based multi-objective optimization of DMFC system efficiencies

被引：12
作者：
Wu, W. [1 ]
Lin, Y. -T. [1 ]
机构：
[1] Natl Yunlin Univ Sci & Technol, Dept Chem & Mat Engn, Touliu 64002, Yunlin, Taiwan
来源：
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2010年 / 35卷 / 18期
关键词：
Multi-objective optimization; Fuzzy; Exergy; Direct methanol fuel cell; Simulation; METHANOL FUEL-CELL; EXERGY ANALYSIS; FEED DMFC; OPTIMUM; MODEL;
D O I：
10.1016/j.ijhydene.2010.06.047
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
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. (C) 2010 Professor T. Nejat Veziroglu. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：9701 / 9708
页数：8
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