AI Predictive Simulation for Low-Cost Hydrogen Production

Green hydrogen, produced via renewable-powered electrolysis, has the potential to revolutionize energy systems, but its widespread adoption hinges on achieving competitive production costs. A critical challenge lies in optimising the hydrogen production process to address solar and wind energy's high variability and intermittency. This paper explores the role of artificial intelligence (AI) in reducing and streamlining hydrogen production costs by enabling advanced process optimisation, focusing on electricity cost management and system-wide efficiency improvements.