Optimization of Proton Exchange Membrane Fuel Cell at Different operating and design Variables Using Genetic Algorithm

摘要

In Proton Exchange Membrane fuel cell the operating condition and design variable plays very important role for improving the performance. This work focused on numerical simulation of the effects operating conditions and design variables, especially temperature, pressure, sticheometry of the reactant gases, area of the cell and membrane thickness. To investigate the effect of the operating conditions and design variables on the fuel cell performance, in this study we have set temperature;313K