AI Empowering Green Hydrogen: Innovating for A Sustainable Energy Future

Haqqi, Mehdi; Benmamoun, Zoubida; Hachimi, Hanaa

doi:10.22034/abec.2025.724928

AI Empowering Green Hydrogen: Innovating for A Sustainable Energy Future

Document Type : Review

Authors

Mehdi Haqqi ¹

Zoubida Benmamoun ²

Hanaa Hachimi ³

¹ Laboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

² College of Engineering and Computing, Liwa University, Abu Dhabi, 31009, United Arab Emirates

³ Laboratory of Advanced Systems Engineering, National School of Applied Sciences, Ibn Tofail Uni-versity, Kenitra, Morocco

10.22034/abec.2025.724928

Abstract

Finding green hydrogen has become essential in the request for a cleaner energy source and as a means of achieving a net-zero carbon economy. The following concepts for enhancing green generation have been spread due to the current study focuses on offering suggestions for a literature evaluation in AI and RE (renewable energy). Therefore, based on the proportion and potential to modify specific phases of hydrogen production, such as water cleaving, or to enhance the dependability and efficiency of systems that use renewable energy, including solar, wind, and so on. The current literature review includes an examination of AI technologies. The proposed model also describes primary neural networks and machine learning approaches, as well as the primary predictive maintenance-based application domains for them. These insights also have significance for improving the use of sustainable energy, addressing ambiguous prior energies, and presenting AI’s approach to the revival of green hydrogen technology.

Keywords

Artificial intelligence

Green hydrogen production

Renewable energy sources

Sustainable energy technologies

Water electrolysis

Subjects