Biography
Dr Xiaosheng Chen is currently a PDRA in the Wind and Tidal Energy research group at University of Oxford, working with Prof. Richard Willden in wind and tidal energy since 2019. He has more than 15 years of experience in computational fluid dynamics (CFD) and have been leading and participating in renewable energy projects for more than 5 years. He graduated from the University of Science and Technology of China with BEng in Thermal Energy and Power Engineering in 2012. He then obtained an MSc degree with distinction in Advanced Mechanical Engineering in 2013 from University of Sussex.
He later moved to the National Centre for Combustion and Aerothermal Technology (former Rolls-Royce University Technology Centre) based at the Department of Aeronautical and Automotive Engineering, Loughborough University to pursue a PhD degree. After graduating in 2018, hestarted a secondment job in the Combustion Aerothermal Methods Team at Rolls-Royce plc., helping the design of the next generation lean-burn jet engine combustor.
Awards & Prizes
- 2022 - 2nd Prize, Best Poster Award, Early Career Researcher (ECR) Network, SupergenORE Hub Annual Assembly.
- 2022 - Best Poster Award for 4th Year Individual Project, Civil Engineering Sector, Department of Engineering Science, University of Oxford, (as supervisor).
Research Interests
Dr. Xiaosheng Chen is an expert in fluid mechanics and heat transfer. His research interests lies in the development of high fidelity CFD modelling technologies, design, evaluation and optimisation on turbomachinery applications (i.e. jet engines, wind and tidal turbines). His current research focuses on tidal turbine hydrodynamics, hydro-elasticity and hydro-acoustics, and multi-scale turbulence modelling for wind and tidal turbine/farm wakes.
Some of the interests include:
- Eddy-resolving methods for high Reynolds number flows
- Turbine modelling methods (e.g. low-order blade representation, fluid-structure interaction, blade elasticity)
- Tidal turbine hydrodynamics and hydro-acoustics
- Multi-scale turbulence modelling for turbine and farm wakes (including interaction with atmospheric boundary layer and surface waves)
Current Projects
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HEC-WSI Code Development Fund, CFD method development for turbine with waves on a current, Principal Investigator.
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WaveTide: Wave effects on a benchmark tidal energy device, Supergen ORE Hub ECR research fund, Principal Investigator.
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Collaboration project with QED Naval, Numerical investigation of the QED Naval tidal turbine with sub-hub, Lead Researcher.
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CoTide: Co-design to deliver Scalable Tidal Stream Energy with new design concepts and optimisation methods, Lead Researcher in work stream.
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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, Lead Researcher in CFD.
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Consultancy project with Orbital Marine Power Ltd., RANS-AL investigation of the Orbital tidal turbine in shallow water column with shear profile and side-by-side arrangement, Lead Researcher.
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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, PDRA in sub-project.
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EPSRC Advanced Fellowship: Tidal Stream Energy - Designing for Performance, PDRA.
Research Groups
Related Academics
The Effect of Flow Sampling on the Robustness of the Actuator Line Method
Zormpa M, Zilic de Arcos F, Chen X, Vogel CR & Willden RHJ (2024), Wind Energy, 28(1)
Tidal turbine benchmarking project: stage I – steady flow experiments
Tucker Harvey S, Chen X, Rowe D, McNaughton J, Vogel C et al. (2023), Proceedings of the 15th European Wave and Tidal Energy Conference (EWTEC 2023), 15(3)
Tidal turbine benchmarking project: stage I - steady flow blind predictions
Willden R, Chen X, Tucker Harvey SW, Edwards H, Vogel C et al. (2023), Proceedings of the 15th European Wave and Tidal Energy Conference (EWTEC 2023), 15(3)
Tidal Benchmarking Project Dataset - Stage I Steady Flow Experiments: Exp_001
Chen X, Tucker Harvey S, McNaughton J, Rowe D, Vogel C et al. (2023)
BibTeX
@misc{tidalbenchmarki-2023/1,
title={Tidal Benchmarking Project Dataset - Stage I Steady Flow Experiments: Exp_001},
author={Chen X, Tucker Harvey S, McNaughton J, Rowe D, Vogel C et al.},
year = "2023"
}
Tidal Benchmarking Project Dataset: R001_2
Harvey S, Chen X, Bhavsar K, Allsop T, Benson I et al. (2022)
BibTeX
@misc{tidalbenchmarki-2022/1,
title={Tidal Benchmarking Project Dataset: R001_2},
author={Harvey S, Chen X, Bhavsar K, Allsop T, Benson I et al.},
year = "2022"
}
Study of an effusion-cooled plate with high level of upstream fluctuation
Chen X, Krawciw J, Xia H, Denman PA, Bonham C et al. (2021), Applied Thermal Engineering, 184, 116126
Flow and surface heat transfer analysis of a square cylinder in turbulent cross-flow
Chen X & Xia H (2019), Numerical Heat Transfer Part A Applications, 75(12), 795-823
Hybrid LES-RANS study of an effusion cooling array with circular holes
Chen X & Xia H (2019), International Journal of Heat and Fluid Flow, 77, 171-185
A hybrid LES-RANS study on square cylinder unsteady heat transfer
Chen X & Xia H (2017), International Journal of Heat and Mass Transfer, 108, 1237-1254