The improves energetic yield of high temperature fuel cell (MCFC) using advance techniques in modeling and optimization analysis

The present paper, deal with energy modeling and optimization of developed mathematical of high temperature fuel cell, e.g. Molten Carbonate Fuel Cell (MCFC). In the present w o r k d e v e l o p e d mathematical model of molten carbonate fuel [1]. Codes for the MCFC single cell stack model have been generated using the MATLAB software. Using the developed Mathematical model, various parameters of fuel cell have been optimized by two optimization techniques; that is Genetic and PSO Algorithm [1, 6]. Obtained simulated and optimized results have been compared with standards references [7,8,9] available open literature and also compare well with the Feed Forward Neural Network (FFNN) analysis [2,3].In the FFNN analysis tries to attempts the practical utility of the developed model [4]. The simulated and optimized results can be utilized in designing and improve the performances of MCFC single cell model. The results have been appeared in the previous papers, here summary and future scope of the work presented.