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 |
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Pages (from-to) | 9701-9708 |
Number of pages | 8 |
Journal | International Journal of Hydrogen Energy |
Volume | 35 |
Issue number | 18 |
DOIs | |
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