New technology to produce hydrogen from Renewable Energy Sources based on AI with optimized costs for environmental applications

The main objective of the HydroG(re)EnergY-Env project is to develop and validate an efficient hydrogen production technology where hydrogen is generated from renewable energy sources, such as solar and wind for the energy sector. To this end, a specialized integrated artificial intelligence (AI) control system with a purpose to automatically manage and optimize the hydrogen production process will be developed. It will be demonstrated on low, medium, and high hydrogen production capacity prototypes. Among other functionalities, the proposed AI system, rooted in deep learning, will encompass optimization of hydrogen production parameters and monitoring of water quality for the electrolyser used in hydrogen production. In similar projects, the AI models had been used to optimize storage and injection of hydrogen, but not for automatic management of its production. Furthermore, the classic optimization solutions are less efficient due to the fluctuations of power and availability of electricity obtained from the renewable energy sources. The technology will be calibrated and validated in real-time operation mode adapted for solar and wind energy production. The successful implementation of the project will result in increased levels of digitalization in the Green Energy sector, which is in accordance with European Green Deal policy for CO 2 production neutrality by 2050.