Digital Solutions for Optimizing the Hydrogen Supply Chain
In plain English
AI plain-English summaryHydrogen supply chains are currently fragmented and inefficient, with no single digital system to manage production, storage, and delivery from a power plant to a home boiler. This research builds digital twins—virtual replicas of the entire hydrogen supply network—to model how hydrogen moves from production facilities through pipelines and trucks to factories, homes, and power stations. The problem is that hydrogen is difficult to handle: it leaks easily, requires high-pressure storage, and demand fluctuates unpredictably across different sectors. Without a coordinated system, suppliers either overproduce wastefully or underdeliver at critical moments. The project will identify where bottlenecks occur, what resources are available, and how to match supply with demand in real time. If successful, these digital tools could allow energy companies to simulate disruptions—a plant shutdown, a sudden spike in industrial demand—and adjust distribution before problems arise. The broader impact is making hydrogen a reliable, cost-competitive alternative to fossil fuels for heating, transport, and heavy industry, accelerating the UK’s transition away from natural gas without requiring every user to install new infrastructure blindly.
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