![Ruiyang He BEng, MSc, PhD](https://profiles-cardiff.imgix.net/attachments/6759?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Ruiyang He
(he/him)
BEng, MSc, PhD
Teams and roles for Ruiyang He
Postdoctoral Research Associate
Publication
2026
- He, G. , Sun, H. and He, R. 2026. A novel analytical wake model for floating offshore wind turbines with pitch motion effects. Renewable Energy 256 (Part D) 124090. (10.1016/j.renene.2025.124090)
2025
- Chen, J. et al., 2025. Prediction of wind farm wake and output power using generative adversarial network and convolutional neural network. Physics of Fluids 37 (8) 085255. (10.1063/5.0284856)
- Tao, S. et al., 2025. A two-stage optimization model for floating offshore wind farm layout and control. Renewable Energy 253 123614. (10.1016/j.renene.2025.123614)
- Tu, Y. et al., 2025. A multi-fidelity framework for power prediction of wind farm under yaw misalignment. Applied Energy 377 (C) 124600. (10.1016/j.apenergy.2024.124600)
2024
- He, R. et al. 2024. Site-specific wake steering strategy for combined power enhancement and fatigue mitigation within wind farms. Renewable Energy 225 120324. (10.1016/j.renene.2024.120324)
- Zhang, S. et al., 2024. Quantification of three-dimensional added turbulence intensity for the horizontal-axis wind turbine considering the wake anisotropy. Energy 294 130843. (10.1016/j.energy.2024.130843)
2023
- He, R. , Yang, H. and Lu, L. 2023. Optimal yaw strategy and fatigue analysis of wind turbines under the combined effects of wake and yaw control. Applied Energy 337 120878. (10.1016/j.apenergy.2023.120878)
2022
- He, R. et al. 2022. Wind tunnel tests for wind turbines: a state-of-the-art review. Renewable and Sustainable Energy Reviews 166 112675. (10.1016/j.rser.2022.112675)
- He, R. et al. 2022. A machine learning-based fatigue loads and power prediction method for wind turbines under yaw control. Applied Energy 326 120013. (10.1016/j.apenergy.2022.120013)
2021
- He, R. et al. 2021. A novel three-dimensional wake model based on anisotropic Gaussian distribution for wind turbine wakes. Applied Energy 296 117059. (10.1016/j.apenergy.2021.117059)
2020
- Zhang, L. et al., 2020. A review of rotating stall in vaneless diffuser of centrifugal compressor. Journal of Thermal Science 29 (2), pp.323-342. (10.1007/s11630-020-1261-y)
2019
- Zhang, L. et al., 2019. Study on static and dynamic characteristics of an axial fan with abnormal blade under rotating stall conditions. Energy 170 , pp.305-325. (10.1016/j.energy.2018.12.125)
2017
- Zhang, L. et al., 2017. Numerical study on the acoustic characteristics of a axial fan under rotating stall condition. Energies 10 (12) 1945. (10.3390/en10121945)
Articles
- Chen, J. et al., 2025. Prediction of wind farm wake and output power using generative adversarial network and convolutional neural network. Physics of Fluids 37 (8) 085255. (10.1063/5.0284856)
- He, G. , Sun, H. and He, R. 2026. A novel analytical wake model for floating offshore wind turbines with pitch motion effects. Renewable Energy 256 (Part D) 124090. (10.1016/j.renene.2025.124090)
- He, R. et al. 2022. Wind tunnel tests for wind turbines: a state-of-the-art review. Renewable and Sustainable Energy Reviews 166 112675. (10.1016/j.rser.2022.112675)
- He, R. , Yang, H. and Lu, L. 2023. Optimal yaw strategy and fatigue analysis of wind turbines under the combined effects of wake and yaw control. Applied Energy 337 120878. (10.1016/j.apenergy.2023.120878)
- He, R. et al. 2024. Site-specific wake steering strategy for combined power enhancement and fatigue mitigation within wind farms. Renewable Energy 225 120324. (10.1016/j.renene.2024.120324)
- He, R. et al. 2021. A novel three-dimensional wake model based on anisotropic Gaussian distribution for wind turbine wakes. Applied Energy 296 117059. (10.1016/j.apenergy.2021.117059)
- He, R. et al. 2022. A machine learning-based fatigue loads and power prediction method for wind turbines under yaw control. Applied Energy 326 120013. (10.1016/j.apenergy.2022.120013)
- Tao, S. et al., 2025. A two-stage optimization model for floating offshore wind farm layout and control. Renewable Energy 253 123614. (10.1016/j.renene.2025.123614)
- Tu, Y. et al., 2025. A multi-fidelity framework for power prediction of wind farm under yaw misalignment. Applied Energy 377 (C) 124600. (10.1016/j.apenergy.2024.124600)
- Zhang, L. et al., 2020. A review of rotating stall in vaneless diffuser of centrifugal compressor. Journal of Thermal Science 29 (2), pp.323-342. (10.1007/s11630-020-1261-y)
- Zhang, L. et al., 2019. Study on static and dynamic characteristics of an axial fan with abnormal blade under rotating stall conditions. Energy 170 , pp.305-325. (10.1016/j.energy.2018.12.125)
- Zhang, L. et al., 2017. Numerical study on the acoustic characteristics of a axial fan under rotating stall condition. Energies 10 (12) 1945. (10.3390/en10121945)
- Zhang, S. et al., 2024. Quantification of three-dimensional added turbulence intensity for the horizontal-axis wind turbine considering the wake anisotropy. Energy 294 130843. (10.1016/j.energy.2024.130843)
Contact Details
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Queen's Buildings - South Building, Floor 3, Room S/3.27b, 5 The Parade, Newport Road, Cardiff, CF24 3AA
Queen's Buildings - South Building, Floor 3, Room S/3.27b, 5 The Parade, Newport Road, Cardiff, CF24 3AA