Explore how AI-driven decision tools can transform hydrogen supply chains, unlocking smarter planning, greater efficiency, and faster pathways to scale.
About the session
This session will explore how data-driven decision tools can improve efficiency and coordination across emerging hydrogen supply chains. It will be delivered by Shuya Zhong, Senior Lecturer (Associate Professor) in Logistics and Supply Chain Management at the University of Bath, who has recently been awarded a SPRINT research project to further develop the HyChain platform – an AI-driven hydrogen optimisation tool designed to support planning and decision-making across hydrogen networks.
As the hydrogen economy expands, supply chains are becoming increasingly complex, involving production, storage, transport, and end-use coordination across multiple stakeholders. Digital tools and AI-based optimisation are emerging as critical enablers for making these systems efficient, resilient, and investment-ready.
This session will introduce the HyChain platform and examine how AI-driven modelling can support better hydrogen infrastructure and supply chain decisions. It will address questions such as:
How can AI improve hydrogen supply chain design and operational planning?
What types of data and modelling approaches are most useful for hydrogen optimisation?
How can decision-support tools reduce risk and improve investment confidence?
What role can digital platforms play in accelerating hydrogen deployment at scale?
Agenda
12:00 – 12:10 – Welcome and introduction
12:10 – 12:45 – Keynote presentation – Shuya Zhong
12:45 – 13:00 – Q&A session – discussion on AI, hydrogen systems, and supply chain optimisation
Meet the speaker:
Shuya Zhong, Senior Lecturer (Associate Professor) in Logistics and Supply Chain Management, University of Bath
Shuya joined the University of Bath in 2023. Her research focuses on enhancing the logistics and supply chain systems using operations research methods, particularly mathematical modelling and optimisation, with the aim of enhancing efficiency, sustainability, and resilience.
Her work spans two main areas. The first is warehousing and transportation in both business-to-consumer (B2C) and business-to-business (B2B) markets, where she explores how to make smarter decisions for logistics operations under evolving conditions.
The second is in renewable energy systems, including offshore wind and hydrogen, where she investigates how supply chains can be reshaped to enable cheaper, cleaner, and more scalable energy transitions. Her work bridges advances optimisation techniques with real-world energy and logistics challenges to support more sustainable system design.
Who should attend?
Energy systems researchers and engineers
Hydrogen developers and infrastructure planners
Policymakers and regulators
Investors and analysts in clean energy
Digital and AI practitioners in energy applications
Register now to secure your place and explore how AI-driven tools like HyChain can support smarter hydrogen system design and deployment.