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Investigation of the near wake of a horizontal-axis wind turbine model by dynamic mode decomposition

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  • Sun, Chong
  • Tian, Tian
  • Zhu, Xiaocheng
  • Hua, Ouyang
  • Du, Zhaohui

Abstract

The wake flow of a horizontal-axis wind turbine has an important effect on the energy extraction and downstream turbulent flow. In this paper, large eddy simulation is employed to obtain the unsteady flow over a two-blade wind turbine model. The detailed geometry of the blade is resolved in the computational mesh. The wake flow is analyzed using dynamic mode decomposition (DMD). The DMD results for the wake flow in the absolute reference frame indicate that the tip vortices are the dominant unsteady flow features in the near wake. The leading energetic modes illustrate the downstream, swing and rotating motion of the tip vortices. The wake flow in a relative reference frame static to the rotor is also analyzed by DMD. The decomposition results illustrate the traveling wave structures and spatial-growth disturbances on the helical vortex filaments. The mode results suggest that the disturbances are gradually formed from the small-scale turbulences, grow rapidly on the helical vortex filament and eventually contribute to the mutual instability of the tip vortices. The breakdown of the tip vortices will lead to the wake recovery and affect the energy extraction of downstream turbines.

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  • 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).
    • Handle: RePEc:eee:energy:v:227:y:2021:i:c:s0360544221006678
    DOI: 10.1016/j.energy.2021.120418
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    References listed on IDEAS

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    1. Li, Qing'an & Murata, Junsuke & Endo, Masayuki & Maeda, Takao & Kamada, Yasunari, 2016. "Experimental and numerical investigation of the effect of turbulent inflow on a Horizontal Axis Wind Turbine (Part I: Power performance)," Energy, Elsevier, vol. 113(C), pages 713-722.
    2. Eriksen, Pål Egil & Krogstad, Per-Åge, 2017. "Development of coherent motion in the wake of a model wind turbine," Renewable Energy, Elsevier, vol. 108(C), pages 449-460.
    3. Lignarolo, L.E.M. & Ragni, D. & Krishnaswami, C. & Chen, Q. & Simão Ferreira, C.J. & van Bussel, G.J.W., 2014. "Experimental analysis of the wake of a horizontal-axis wind-turbine model," Renewable Energy, Elsevier, vol. 70(C), pages 31-46.
    4. Zhang, Sanxia & Luo, Kun & Yuan, Renyu & Wang, Qiang & Wang, Jianwen & Zhang, Liru & Fan, Jianren, 2018. "Influences of operating parameters on the aerodynamics and aeroacoustics of a horizontal-axis wind turbine," Energy, Elsevier, vol. 160(C), pages 597-611.
    5. Li, Qing'an & Murata, Junsuke & Endo, Masayuki & Maeda, Takao & Kamada, Yasunari, 2016. "Experimental and numerical investigation of the effect of turbulent inflow on a Horizontal Axis Wind Turbine (part II: Wake characteristics)," Energy, Elsevier, vol. 113(C), pages 1304-1315.
    6. Sun, Haiying & Gao, Xiaoxia & Yang, Hongxing, 2019. "Validations of three-dimensional wake models with the wind field measurements in complex terrain," Energy, Elsevier, vol. 189(C).
    7. Ould Moussa, Mohamed, 2020. "Experimental and numerical performances analysis of a small three blades wind turbine," Energy, Elsevier, vol. 203(C).
    8. 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).
    9. 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.
    10. Lignarolo, Lorenzo E.M. & Mehta, Dhruv & Stevens, Richard J.A.M. & Yilmaz, Ali Emre & van Kuik, Gijs & Andersen, Søren J. & Meneveau, Charles & Ferreira, Carlos J. & Ragni, Daniele & Meyers, Johan & v, 2016. "Validation of four LES and a vortex model against stereo-PIV measurements in the near wake of an actuator disc and a wind turbine," Renewable Energy, Elsevier, vol. 94(C), pages 510-523.
    11. 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.
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    Cited by:

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    2. Wang, Tengyuan & Cai, Chang & Liu, Junbo & Peng, Chaoyi & Wang, Yibo & Sun, Xiangyu & Zhong, Xiaohui & Zhang, Jingjing & Li, Qingan, 2024. "Wake characteristics and vortex structure evolution of floating offshore wind turbine under surge motion," Energy, Elsevier, vol. 302(C).
    3. Wen, Jiahao & Zhou, Lei & Zhang, Hongfu, 2023. "Mode interpretation of blade number effects on wake dynamics of small-scale horizontal axis wind turbine," Energy, Elsevier, vol. 263(PA).
    4. Martin Geibel & Galih Bangga, 2022. "Data Reduction and Reconstruction of Wind Turbine Wake Employing Data Driven Approaches," Energies, MDPI, vol. 15(10), pages 1-40, May.
    5. De Cillis, Giovanni & Cherubini, Stefania & Semeraro, Onofrio & Leonardi, Stefano & De Palma, Pietro, 2022. "The influence of incoming turbulence on the dynamic modes of an NREL-5MW wind turbine wake," Renewable Energy, Elsevier, vol. 183(C), pages 601-616.

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