Advances in Generation and Modeling of Green Hydrogen and its Conversion to Electrical Energy through Intelligent Systems

Green hydrogen stands as a clean alternative to traditional storage methods. However, it poses a greater implementation challenge; hence, the development of pilot projects for its control, generation, storage, and applications becomes imperative. The TITAN system was deployed, an expansion of a previously developed framework. Experiments were conducted using a higher-power electrolyzer, achieving flow rates of 83ml/min under nominal conditions. Furthermore, an intelligent system based on neural networks was also incorporated, capable of modeling the non-linear dynamic behavior of a PEM fuel cell with a mean absolute error of 0.05179, which facilitates the implementation of future control systems.