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Numerical simulations on the wake effect of H-type vertical axis wind turbines

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  • Zuo, Wei
  • Wang, Xiaodong
  • Kang, Shun

Abstract

The wake of a wind turbine has substantial influence on the aerodynamic performance of downstream wind turbine. Unsteady numerical simulations are performed in this paper to investigate the wake structure of a three-bladed H-type VAWT (vertical axis wind turbine) and the influence on the aerodynamic performance of downstream wind turbine. A simplified two-dimensional model is used considering the blades are straight. Unsteady Reynolds Averaged Navier–Stokes equations are solved using FlowVision software, which uses dynamic grid method to handle the blade rotation. The SST turbulence model is used for turbulence modeling. The distance between two wind turbines is from 5D to 17D with 2D intervals, where D denotes the wind turbine diameter. The wind speed is 5.07 m/s, corresponding to a tip speed ratio of 2.15. The power coefficients of two wind turbines are compared in detail. The discussions focus on the periodic variations of the aerodynamic performance and flow variables of two turbines with two typical distances, i.e., 7D and 15D, respectively. The simulation results show that the velocity recovery distance needed for a VAWT is usually larger than 15D.

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  • Zuo, Wei & Wang, Xiaodong & Kang, Shun, 2016. "Numerical simulations on the wake effect of H-type vertical axis wind turbines," Energy, Elsevier, vol. 106(C), pages 691-700.
    • Handle: RePEc:eee:energy:v:106:y:2016:i:c:p:691-700
    DOI: 10.1016/j.energy.2016.02.127
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    References listed on IDEAS

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    1. Howell, Robert & Qin, Ning & Edwards, Jonathan & Durrani, Naveed, 2010. "Wind tunnel and numerical study of a small vertical axis wind turbine," Renewable Energy, Elsevier, vol. 35(2), pages 412-422.
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    2. Jianfeng Dai & Yi Tang & Jun Yi, 2019. "Adaptive Gains Control Scheme for PMSG-Based Wind Power Plant to Provide Voltage Regulation Service," Energies, MDPI, vol. 12(4), pages 1-20, February.
    3. Lei, Hang & Su, Jie & Bao, Yan & Chen, Yaoran & Han, Zhaolong & Zhou, Dai, 2019. "Investigation of wake characteristics for the offshore floating vertical axis wind turbines in pitch and surge motions of platforms," Energy, Elsevier, vol. 166(C), pages 471-489.
    4. Peng, H.Y. & Han, Z.D. & Liu, H.J. & Lin, K. & Lam, H.F., 2020. "Assessment and optimization of the power performance of twin vertical axis wind turbines via numerical simulations," Renewable Energy, Elsevier, vol. 147(P1), pages 43-54.
    5. Lei, Hang & Zhou, Dai & Lu, Jiabao & Chen, Caiyong & Han, Zhaolong & Bao, Yan, 2017. "The impact of pitch motion of a platform on the aerodynamic performance of a floating vertical axis wind turbine," Energy, Elsevier, vol. 119(C), pages 369-383.
    6. Qasemi, Keyhan & Azadani, Leila N., 2020. "Optimization of the power output of a vertical axis wind turbine augmented with a flat plate deflector," Energy, Elsevier, vol. 202(C).
    7. Zhang, Baoshou & Song, Baowei & Mao, Zhaoyong & Tian, Wenlong, 2017. "A novel wake energy reuse method to optimize the layout for Savonius-type vertical axis wind turbines," Energy, Elsevier, vol. 121(C), pages 341-355.
    8. Tahani, Mojtaba & Rabbani, Ali & Kasaeian, Alibakhsh & Mehrpooya, Mehdi & Mirhosseini, Mojtaba, 2017. "Design and numerical investigation of Savonius wind turbine with discharge flow directing capability," Energy, Elsevier, vol. 130(C), pages 327-338.
    9. Lu Ma & Xiaodong Wang & Jian Zhu & Shun Kang, 2019. "Dynamic Stall of a Vertical-Axis Wind Turbine and Its Control Using Plasma Actuation," Energies, MDPI, vol. 12(19), pages 1-18, September.
    10. Cheng, Youliang & Xue, Zhanpu & Jiang, Tuo & Wang, Wenyang & Wang, Yuekun, 2018. "Numerical simulation on dynamic response of flexible multi-body tower blade coupling in large wind turbine," Energy, Elsevier, vol. 152(C), pages 601-612.
    11. Kuang, Limin & Katsuchi, Hiroshi & Zhou, Dai & Chen, Yaoran & Han, Zhaolong & Zhang, Kai & Wang, Jiaqi & Bao, Yan & Cao, Yong & Liu, Yijie, 2023. "Strategy for mitigating wake interference between offshore vertical-axis wind turbines: Evaluation of vertically staggered arrangement," Applied Energy, Elsevier, vol. 351(C).
    12. Peng, H.Y. & Liu, M.N. & Liu, H.J. & Lin, K., 2022. "Optimization of twin vertical axis wind turbines through large eddy simulations and Taguchi method," Energy, Elsevier, vol. 240(C).
    13. Bundi, Josephat Machoka & Ban, Xiaojun & Wekesa, David Wafula & Ding, Shuchen, 2020. "Pitch control of small H-type Darrieus vertical axis wind turbines using advanced gain scheduling techniques," Renewable Energy, Elsevier, vol. 161(C), pages 756-765.
    14. Peng, H.Y. & Liu, H.J. & Yang, J.H., 2021. "A review on the wake aerodynamics of H-rotor vertical axis wind turbines," Energy, Elsevier, vol. 232(C).
    15. Zheng Yuan & Jin Jiang & Jun Zang & Qihu Sheng & Ke Sun & Xuewei Zhang & Renwei Ji, 2020. "A Fast Two-Dimensional Numerical Method for the Wake Simulation of a Vertical Axis Wind Turbine," Energies, MDPI, vol. 14(1), pages 1-21, December.
    16. Ji Hao Zhang & Fue-Sang Lien & Eugene Yee, 2022. "Investigations of Vertical-Axis Wind-Turbine Group Synergy Using an Actuator Line Model," Energies, MDPI, vol. 15(17), pages 1-22, August.

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