Digitalization Pathways for Green Hydrogen Production

This research article reviews the advancements in digitalization pathways for green hydrogen production, focusing on the integration of technologies such as artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), digital twin (DT), and blockchain. The objective is to explore how these digital technologies enhance the efficiency and scalability of hydrogen production systems, particularly through data-driven optimization, predictive diagnostics, and autonomous operations. The paper discusses the significance of green hydrogen as a sustainable energy source, highlighting its role in decarbonizing various sectors. It details the methods of green hydrogen production, including electrolysis and biomass-based approaches, while addressing the operational challenges faced in large-scale implementations. The review emphasizes the necessity of digitalization in overcoming these challenges and establishing a low-emission hydrogen economy. Furthermore, it outlines the diverse applications of digital technologies across different scales, underscoring their importance in the future of sustainable energy systems.