Performance Analysis of Proton Exchange Membrane Fuel Cell During Transient Operations Using Artificial Intelligence

Abstract

Fuel cells are now being employed as a source of energy and heat in industrial, transportation, and residential applications. This article presents the real-time implementations and functioning of the proton exchange membrane (PEM) fuel cells. The analysis had been carried out on PEM fuel cells to test the performance systematically and smoothly under transient operations. A change in the current and the resistance of the appliance had been considered for the load variations on PEMFC. This study examined the fuel cell system's efficiency and the time it taken to reach the steady-state without additional means using Artificial intelligence based back propagation network. The proposed analysis proves that the PEM fuel cells which are used for the installations with quickly changing load profiles can provide the improving the system's performance and efficiency.