Our Team

A multidisciplinary group of researchers working across energy storage, AI, and sustainable systems — based at Edinburgh Napier University with global collaborators.

Dr Zuansi Cai

Principal Investigator — Associate Professor in Energy & Environmental Engineering

Dr Zuansi Cai is an Associate Professor in Energy & Environmental Engineering at Edinburgh Napier University and a Royal Academy of Engineering Industrial Fellow. He has over 20 years of international research experience across the UK, EU, and China, with expertise spanning large-scale energy storage, hydrogen systems, AI-driven optimisation, and subsurface energy technologies.

Royal Academy of Engineering Industrial Fellow EPSRC Peer Review College Member Fellow of the Geological Society (FGS) Fellow of the Higher Education Academy (FHEA)
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Research Team
Gayan M Jayasooriya
Research Assistant in Renewables and Data Science
Edinburgh Napier University
ResearchGate
Research Associates
Dr Keni Zhang
Associate
Lawrence Berkeley National Laboratory, USA
ResearchGate
Dr Xuan-Kai Zhang
Associate
Shandong University, China
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Dave Pearson
Visiting Professor
Star Refrigeration Ltd / Edinburgh Napier University
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Former Lab Members
Name Role / Project Links
Dr Juan C Padrino Postdoctoral Researcher — Underground Hydrogen Storage Google Scholar
Richard Louis Wallace PhD — Modelling of Subsurface Hydrogen and Gas Mixtures LinkedIn
Licao Yang PhD — Compressed Air Energy Storage
Keith M. Alcock PhD — Thermal Monitoring of Lithium-Ion Batteries Profile
Cornelia Fjelkestam Research — Machine Learning & Solar Energy Forecasting Publication
Collaborators

Academic

  • Imperial College London
  • UCL (University College London)
  • Wuhan University, China
  • Lawrence Berkeley National Laboratory, USA

Industry

  • Centrica Storage Ltd
  • Star Refrigeration Ltd
  • Brain Innovation Ltd
  • Scene Connect Ltd
  • TNB Research

Join the Group

We welcome applications from motivated PhD students and postdoctoral researchers with backgrounds in energy engineering, applied mathematics, computational modelling, or machine learning. Prospective members are encouraged to contact Dr Cai directly.

Contact Dr Cai