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Investigation of wake effects on a Horizontal Axis Wind Turbine in field experiments (Part I: Horizontal axis direction)

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  • Li, Qing’an
  • Maeda, Takao
  • Kamada, Yasunari
  • Mori, Naoya

Abstract

In order to investigate the effects of turbulence intensity and wind shear on the wind turbine wake characteristics, this paper presented the wind velocity distribution of Horizontal Axis Wind Turbine (HAWT) in the horizontal axis direction by field experiments. The test wind turbine had a generator capacity of 30 kW, a rotor diameter of 10.0 m and a hub height of 13.4 m. The reference wind velocity was measured with an ultrasonic anemometer. In the upstream wind measurement mast, the three-cup type anemometers and arrowhead type wind vane were installed. An ultrasonic current meter (SAT-550) which was mounted on the after-stream measuring device equipped which was used for the measurement of the wake at multiple points. Furthermore, the experimental condition of the wake measurement was set at the different inflow velocities and the tip speed ratios. As a result, the maximum velocity deficit in the wake was reduced with the increase of the turbulence intensity. Moreover, as the wind shear index increased, the maximum velocity deficit in the wake was increased. The maximum deficit amount of the non-dimensional wind velocity ratio UNR in the wake increased with the increase of the tip speed ratio.

Suggested Citation

  • Li, Qing’an & Maeda, Takao & Kamada, Yasunari & Mori, Naoya, 2017. "Investigation of wake effects on a Horizontal Axis Wind Turbine in field experiments (Part I: Horizontal axis direction)," Energy, Elsevier, vol. 134(C), pages 482-492.
    • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:482-492
    DOI: 10.1016/j.energy.2017.05.187
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    References listed on IDEAS

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    Cited by:

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    3. Torres Garcia, E. & Aubrun, S. & Coupiac, O. & Girard, N. & Boquet, M., 2019. "Statistical characteristics of interacting wind turbine wakes from a 7-month LiDAR measurement campaign," Renewable Energy, Elsevier, vol. 130(C), pages 1-11.
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    5. Wei Li & Shinai Xu & Baiyun Qian & Xiaoxia Gao & Xiaoxun Zhu & Zeqi Shi & Wei Liu & Qiaoliang Hu, 2022. "Large-Scale Wind Turbine’s Load Characteristics Excited by the Wind and Grid in Complex Terrain: A Review," Sustainability, MDPI, vol. 14(24), pages 1-29, December.
    6. Li, Qing'an & Wang, Ye & Kamada, Yasunari & Maeda, Takao & Xu, Jianzhong & Zhou, Shuni & Zhang, Fanghong & Cai, Chang, 2022. "Diagonal inflow effect on the wake characteristics of a horizontal axis wind turbine with Gaussian model and field measurements," Energy, Elsevier, vol. 238(PB).
    7. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Mori, Naoya, 2017. "Investigation of wake characteristics of a Horizontal Axis Wind Turbine in vertical axis direction with field experiments," Energy, Elsevier, vol. 141(C), pages 262-272.
    8. Wang, Tengyuan & Cai, Chang & Wang, Xinbao & Wang, Zekun & Chen, Yewen & Song, Juanjuan & Xu, Jianzhong & Zhang, Yuning & Li, Qingan, 2023. "A new Gaussian analytical wake model validated by wind tunnel experiment and LiDAR field measurements under different turbulent flow," Energy, Elsevier, vol. 271(C).
    9. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Hiromori, Yuto, 2018. "Investigation of wake characteristic of a 30 kW rated power Horizontal Axis Wind Turbine with wake model and field measurement," Applied Energy, Elsevier, vol. 225(C), pages 1190-1204.
    10. Li, Qing’an & Xu, Jianzhong & Kamada, Yasunari & Takao, Maeda & Nishimura, Shogo & Wu, Guangxing & Cai, Chang, 2020. "Experimental investigations of airfoil surface flow of a horizontal axis wind turbine with LDV measurements," Energy, Elsevier, vol. 191(C).
    11. Li, Qing'an & Kamada, Yasunari & Maeda, Takao & Nishida, Yusuke, 2017. "Experimental investigations of boundary layer impact on the airfoil aerodynamic forces of Horizontal Axis Wind Turbine in turbulent inflows," Energy, Elsevier, vol. 135(C), pages 799-810.
    12. Monjardín-Gámez, José de Jesús & Campos-Amezcua, Rafael & Gómez-Martínez, Roberto & Sánchez-García, Raúl & Campos-Amezcua, Alfonso & Trujillo-Franco, Luis G. & Abundis-Fong, Hugo F., 2023. "Large eddy simulation and experimental study of the turbulence on wind turbines," Energy, Elsevier, vol. 273(C).
    13. Li, Qing'an & Cai, Chang & Kamada, Yasunari & Maeda, Takao & Hiromori, Yuto & Zhou, Shuni & Xu, Jianzhong, 2021. "Prediction of power generation of two 30 kW Horizontal Axis Wind Turbines with Gaussian model," Energy, Elsevier, vol. 231(C).
    14. Sun, Chong & Tian, Tian & Zhu, Xiaocheng & Hua, Ouyang & Du, Zhaohui, 2021. "Investigation of the near wake of a horizontal-axis wind turbine model by dynamic mode decomposition," Energy, Elsevier, vol. 227(C).
    15. Sun, Haiying & Gao, Xiaoxia & Yang, Hongxing, 2020. "A review of full-scale wind-field measurements of the wind-turbine wake effect and a measurement of the wake-interaction effect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    16. Fei Zhao & Yihan Gao & Tengyuan Wang & Jinsha Yuan & Xiaoxia Gao, 2020. "Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    17. Syed Ahmed Kabir, Ijaz Fazil & Safiyullah, Ferozkhan & Ng, E.Y.K. & Tam, Vivian W.Y., 2020. "New analytical wake models based on artificial intelligence and rivalling the benchmark full-rotor CFD predictions under both uniform and ABL inflows," Energy, Elsevier, vol. 193(C).
    18. Haojun Tang & Kit-Ming Lam & Kei-Man Shum & Yongle Li, 2019. "Wake Effect of a Horizontal Axis Wind Turbine on the Performance of a Downstream Turbine," Energies, MDPI, vol. 12(12), pages 1-18, June.
    19. Wu, Zhenlong & Bangga, Galih & Cao, Yihua, 2019. "Effects of lateral wind gusts on vertical axis wind turbines," Energy, Elsevier, vol. 167(C), pages 1212-1223.
    20. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Ogasawara, Tatsuhiko & Nakai, Alisa & Kasuya, Takuji, 2017. "Investigation of power performance and wake on a straight-bladed vertical axis wind turbine with field experiments," Energy, Elsevier, vol. 141(C), pages 1113-1123.

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