Cross Validation of Optimize Results Using  Genetic and Particle Swarm Optimization (PSO)  Algorithms, for the Single Cell Model of Molten  Carbonate Fuel Cell (MCFC)

S. K. Dhakad; Dr. S.C. Soni; Dr.  Pankaj Agarwal

Volume : II, Issue : IV, April - 2013

Cross Validation of Optimize Results Using Genetic and Particle Swarm Optimization (PSO) Algorithms, for the Single Cell Model of Molten Carbonate Fuel Cell (MCFC)

S. K. Dhakad, Dr. S. C. Soni , Dr. Pankaj Agarwal

Abstract :

This paper deals with the energy modeling and simulation analysis of high temperature fuel cell, e.g. Molten Carbonate Fuel Cell (MCFC). In the present work a new mathematical model of molten carbonate fuel cell has been developed using basic governing equations and chemical reactions base. Those have been applied in experiment and numerical simulation of molten carbonate fuel cell stack, to be generated power up to kilowatt [1, 2]. Using the Genetic algorithm optimized results obtained appeared in previous research paper [3], here simulated and optimized results compared with Genetic and PSO algorithm with each other. In the simulation and modeling MATLAB software has been used. The compared results has been shown in the tables 1& 2.