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Comparison of Blade Aeroelastic Responses between Upwind and Downwind of 10 MW Wind Turbines under the Shear Wind Condition

Author

Listed:
  • Haojie Kang

    (Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 210098, China)

  • Bofeng Xu

    (Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 210098, China
    Jiangsu Province Engineering Research Center of Wind Turbine Structures, Hohai University, Nanjing 210098, China)

  • Xiang Shen

    (Department of Mechanical and Construction Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK)

  • Zhen Li

    (Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 210098, China)

  • Xin Cai

    (Jiangsu Province Engineering Research Center of Wind Turbine Structures, Hohai University, Nanjing 210098, China)

  • Zhiqiang Hu

    (School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

Abstract

This paper examines the potential for reducing the cost of energy for super-scale wind turbines through the use of a downwind configuration. Using nonlinear aeroelastic modeling, the responses of 10 MW upwind and downwind wind turbine blades are simulated and compared under shear wind conditions. The study evaluates the impact of both nonlinear and linear aeroelastic models on the dynamic response of different blade sizes, highlighting the need for a nonlinear approach. Results indicate that the linear model overestimates blade deformations (18.14%) and the nonlinear model is more accurate for predicting the aeroelastic response of ultra-long blades of 86.35 m. The study also finds that the downwind turbine blade experiences smaller flapwise moment (17.53%), and blade tip flapwise deformation (33.97%) than the upwind turbine blade, with increased load and deformation fluctuation as wind shear increases.

Suggested Citation

  • Haojie Kang & Bofeng Xu & Xiang Shen & Zhen Li & Xin Cai & Zhiqiang Hu, 2023. "Comparison of Blade Aeroelastic Responses between Upwind and Downwind of 10 MW Wind Turbines under the Shear Wind Condition," Energies, MDPI, vol. 16(6), pages 1-13, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2567-:d:1091652
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    References listed on IDEAS

    as
    1. Wang, Lin & Liu, Xiongwei & Kolios, Athanasios, 2016. "State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 195-210.
    2. Zhenye Sun & Wei Jun Zhu & Wen Zhong Shen & Wei Zhong & Jiufa Cao & Qiuhan Tao, 2020. "Aerodynamic Analysis of Coning Effects on the DTU 10 MW Wind Turbine Rotor," Energies, MDPI, vol. 13(21), pages 1-19, November.
    3. Qin, Chao (Chris) & Loth, Eric & Zalkind, Daniel S. & Pao, Lucy Y. & Yao, Shulong & Griffith, D. Todd & Selig, Michael S. & Damiani, Rick, 2020. "Downwind coning concept rotor for a 25 MW offshore wind turbine," Renewable Energy, Elsevier, vol. 156(C), pages 314-327.
    4. Koh, J.H. & Ng, E.Y.K., 2016. "Downwind offshore wind turbines: Opportunities, trends and technical challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 797-808.
    5. Wang, Lin & Liu, Xiongwei & Renevier, Nathalie & Stables, Matthew & Hall, George M., 2014. "Nonlinear aeroelastic modelling for wind turbine blades based on blade element momentum theory and geometrically exact beam theory," Energy, Elsevier, vol. 76(C), pages 487-501.
    6. Yu, Dong Ok & Kwon, Oh Joon, 2014. "Predicting wind turbine blade loads and aeroelastic response using a coupled CFD–CSD method," Renewable Energy, Elsevier, vol. 70(C), pages 184-196.
    7. Kress, C. & Chokani, N. & Abhari, R.S., 2015. "Downwind wind turbine yaw stability and performance," Renewable Energy, Elsevier, vol. 83(C), pages 1157-1165.
    8. Noyes, Carlos & Qin, Chao & Loth, Eric, 2018. "Pre-aligned downwind rotor for a 13.2 MW wind turbine," Renewable Energy, Elsevier, vol. 116(PA), pages 749-754.
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