The Green Hydrogen industry, recognised as a pivotal solution for achieving global net-zero targets, is rapidly evolving. As the world shifts towards more sustainable energy sources, the need for innovation in the production, storage, and distribution of Green Hydrogen has never been more urgent. In this transformative journey, Artificial Intelligence (AI) and Machine Learning (ML) are emerging as powerful tools that can revolutionise the sector.
AI and ML are playing crucial roles in optimising complex processes, improving efficiency, and reducing costs throughout the Hydrogen value chain. From predicting renewable energy inputs for Hydrogen production to enhancing the performance of electrolysers and refining storage techniques, these technologies are transforming
challenges into opportunities. Moreover, their ability to analyse vast amounts of data in real time offers the potential to accelerate research and development, scale-up solutions, and contribute significantly to a more efficient and resilient Green Hydrogen ecosystem.
This report explores the intersection of AI, ML, and the Green Hydrogen industry, offering insights into current applications, potential breakthroughs, and future opportunities. It highlights case studies, examines ongoing research, and discusses how these technologies can be leveraged to overcome existing barriers and unlock the full potential of Green Hydrogen as a clean, sustainable energy source.
As the world continues to grapple with the challenges of climate change and energy transition, the role of AI and ML in the Green Hydrogen industry cannot be understated. By integrating cuttingedge technology with sustainable energy systems, we stand at the threshold of a cleaner, more resilient future. This report is a step towards understanding that future and paving the way for a new era in energy innovation.
