The present study introduces an economical–functional design for a polymer electrolytemembrane fuel cell system. To do so, after introducing the optimization problem and solving theproblem based on the presented equations in the fuel cell, a cost model is presented. The final designis employed for minimizing the construction cost of a 50 kW fuel cell stack, along with the costsof accessories regarding the current density, stoichiometric coefficient of the hydrogen and air, andpressure of the system as well as the temperature of the system as optimization parameters. Thefunctional–economic model is developed for the studied system in which all components of thesystem are modeled economically as well as electrochemically–mechanically. The objective functionis solved by a newly improved metaheuristic technique, called converged collective animal behavior(CCAB) optimizer. The final results of the method are compared with the standard CAB optimizerand genetic algorithm as a popular technique. The results show that the best optimal cost with0.1061 $/kWh is achieved by the CCAB. Finally, a sensitivity analysis is provided for analyzing theconsistency of the method.
کلید واژگان :fuel cell; electrochemical–mechanical model; collective animal behavior algorithm; improved; sensitivity analysis
ارزش ریالی : 600000 ریال
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