Dr Wei Sun

Research Associate



+44(0)131 6505575


4.115 Faraday Building

Social Media: 

Research Institute: 

  • Energy Systems

Research Theme: 

  • Energy and Climate Change
  • Energy Policy, Economics and Innovation
  • Energy Storage and Carbon Capture
  • Offshore Renewable Energy
  • Power Systems
Dr Wei SUN


Dr Sun is Research Associate on Multi-vector energy system in the School of Engineering. His research focuses on smart energy system with high renewable penetration, using applied data science and advanced optimization techniques. Dr Sun is currently working on building a multi-scale energy system integration architecture for National Centre for Energy Systems Integration (CESI) and previously as a lead researcher on Hydrogen’s Value in the Energy system (HYVE). 

Dr Sun has also contributed to Realising Energy Storage Technologies in Low-carbon Energy Systems (RESTLESS) and Adaptation and Resilience In Energy Systems (ARIES).

Dr Sun is holding a visiting reserach fellowship at UCL.

Latest Press Coverage: Climate Prediction Market Competition Winner

Academic Qualifications: 

  • PhD Electrical Power Engineering, University of Edinburgh, 2015

Professional Qualifications and Memberships: 

  • Member of the Institution of Engineering & Technology (IET)
  • Member of the Institute of Electrical and Electronic Engineers (IEEE)


  • Hydropower Interdisciplinary Group Design Project [MEng]
  • MSc Sustainable Energy Systems - Dissertation supervision
  • MSc Advanced Power Engineering - Dissertation supervision

Research Interests: 

My research activity covers several energy themes including:

  • Grid integration of renewable energy
  • Multi-vector energy systems integration, including electricity, heat and alternative fuel systems
  • Renewable resource assessment
  • Climate change impacts on electricity systems


  • Network Integration of DER
  • Electricity Network Modelling
  • Gas/Hydrogen Network Modelling
  • Climate Change Impacts on Renewable Energy
  • Optimisation Modelling
  • Statistic analysis 
  • Data Science applications in Power Systems