
Dr Xiaosheng (Shaun) Chen
Tutor in Engineering Science
Dr Xiaosheng (Shaun) Chen
Tutor in Engineering Science
Dr Xiaosheng Chen is currently a research associate in the Wind and Tidal Energy research group at University of Oxford as a CFD specialist. He graduated from the University of Science and Technology of China with BEng in Thermal Energy and Power Engineering in July 2012. He was then awarded an MSc degree with distinction in Advanced Mechanical Engineering in Oct 2013 by University of Sussex. Later, he obtained a PhD degree in aeronautical engineering in 2018 from the National Centre for Combustion and Aerothermal Technology (former Rolls-Royce University Technology Centre) based at Loughborough University.
Following the graduation, he started a secondment job in the Combustion Aerothermal Methods Team of Rolls-Royce plc., helping them to design the next generation lean-burn jet engine combustor. In July 2019, he joined the University of Oxford as a research assistant, working with Prof. Richard Willden and Dr. Christopher Vogel in wind and tidal energy.
Research interests
Research Interests
Dr. Xiaosheng Chen is an expert in fluid mechanics and heat transfer. His focus is on high fidelity CFD modelling techniques and their applications to help solving engineering problems, especially turbomachinery applications like jet engines, wind and tidal turbines. His current research interest lies in renewable energy devices, including but not limited to tidal stream turbines, on-shore and off-shore wind turbines. He is also an expert in developing and utilising CFD software packages, especially for RANS, LES and hybrid LES methods.
Research Projects
Supergen ORE Hub: Providing research leadership to connect academia, industry, policy and public stakeholders, inspire innovation and maximise societal value in offshore wind, wave and tidal energy.
CoTide: Co-design to deliver Scalable Tidal Stream Energy with new design concepts and optimisation methods.
Tidal Turbine Benchmark Project: The first benchmark project in the tidal energy community for improving the modelling techniques, quantifying and understanding modelling errors, as well as improving accuracy and confidence of the prediction.
WaveTide – An ECR project for developing high fidelity tidal turbine modelling method that lively reacting to incoming waves.