Optimization of PEMFC Model Parameters Using Meta-Heuristics

Saeideh Mahdinia, Mehrdad Rezaie, Marischa Elveny, Noradin Ghadimi and Navid Razmjooy
Additional contact information
Saeideh Mahdinia: Faculty of Chemistry, Bu-Ali Sina University, Hamadan 6516738695, Iran
Mehrdad Rezaie: Department of Electrical Engineering, Malayer University, Malayer 6571995863, Iran
Marischa Elveny: DS & CI Research Group, Universitas Sumatera Utara, Medan 20155, Indonesia
Noradin Ghadimi: Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil 5615731567, Iran
Navid Razmjooy: Department of Electrical Engineering, Tafresh University, Tafresh 7961139518, Iran

Sustainability, 2021, vol. 13, issue 22, 1-17

Abstract: The present study introduces an economical–functional design for a polymer electrolyte membrane fuel cell system. To do so, after introducing the optimization problem and solving the problem based on the presented equations in the fuel cell, a cost model is presented. The final design is employed for minimizing the construction cost of a 50 kW fuel cell stack, along with the costs of accessories regarding the current density, stoichiometric coefficient of the hydrogen and air, and pressure of the system as well as the temperature of the system as optimization parameters. The functional–economic model is developed for the studied system in which all components of the system are modeled economically as well as electrochemically–mechanically. The objective function is 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 optimizer and genetic algorithm as a popular technique. The results show that the best optimal cost with 0.1061 $ / kWh is achieved by the CCAB. Finally, a sensitivity analysis is provided for analyzing the consistency of the method.

Keywords: fuel cell; electrochemical–mechanical model; collective animal behavior algorithm; improved; sensitivity analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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