Towards a better understanding of yawed turbine wake for efficient wake steering in tidal arrays

被引:25
作者
Modali, Pranav K. [1 ]
Vinod, Ashwin [1 ]
Banerjee, Arindam [1 ]
机构
[1] Lehigh Univ, Mech Engn & Mech, Bethlehem, PA 18015 USA
关键词
Tidal turbine yaw; Near-wake turbulence; Energy recovery; Wake-steering; MARINE CURRENT TURBINES; WIND-TUNNEL EXPERIMENTS; HORIZONTAL-AXIS WIND; HYDRODYNAMIC PERFORMANCE; TURBULENCE INTENSITY; HYDROKINETIC TURBINE; SIMULATION; INFLOW; DESIGN; IMPACT;
D O I
10.1016/j.renene.2021.05.152
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Tidal stream turbines (TST) deployed in open-water energetic sites are often unintentionally at yaw to the incoming flow that causes performance degradation and deflection of the wake. Wake steering is a popular concept in wind arrays where the upstream turbine is operated intentionally at yaw to steer the wake away from a downstream turbine. To explore such arrangements for TST arrays, a synergistic experimental and numerical campaign was undertaken to characterize a TST performance and wake deflection subjected to +/- 15 degrees yawed inflow. The near-wake characterization study was performed using complementary acoustic Doppler velocimetry measurements and 3D computational fluid dynamics. The experiments show a similar to 10% reduction in the maximum power coefficient. In the near field, the deflected wake morphed into an elliptical shape due to the formation of two counter-rotating vortices. The wake deflection results in enhanced momentum transfer and dissipation, leading to accelerated energy recovery. When the upstream turbine is yawed, available kinetic energy in the flow for the downstream turbine is at least 50% higher with the turbine array in a staggered configuration compared to the inline configuration. Our results provide guidance in reducing the cross-stream and downstream spacing between turbine units in an array. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码:482 / 494
页数:13
相关论文
共 50 条
  • [31] An Investigation of Tidal Stream Turbine Wake Development Using Modified BEM-AD Model
    Pang, Chee M.
    Kennedy, David M.
    O'Rourke, Fergal
    [J]. ENERGIES, 2024, 17 (05)
  • [32] Unsteady Loading on a Tidal Turbine Due to the Turbulent Wake of an Upstream Turbine Interacting with a Seabed Ridge
    Hurubi, Sulaiman
    Mullings, Hannah
    Ouro, Pablo
    Stansby, Peter
    Stallard, Tim
    [J]. ENERGIES, 2025, 18 (01)
  • [33] Near wake evolution of a tidal stream turbine due to asymmetric sheared turbulent inflow with different integral length scales
    Han, Cong
    Banerjee, Arindam
    [J]. RENEWABLE ENERGY, 2024, 237
  • [34] Evolution mechanism of wind turbine wake structure in yawed condition by actuator line method and theoretical analysis
    Wang, Tengyuan
    Cai, Chang
    Wang, Xinbao
    Wang, Zekun
    Chen, Yewen
    Hou, Chengyu
    Zhou, Shuni
    Xu, Jianzhong
    Zhang, Yuning
    Li, Qingan
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2023, 281
  • [35] Experimental and numerical investigations on the performance and wake characteristics of a tidal turbine under yaw
    Qian, Yaoru
    Zhang, Yuquan
    Sun, Yukun
    Zhang, Haihui
    Zhang, Zhi
    Li, Chengyi
    [J]. OCEAN ENGINEERING, 2023, 289
  • [36] Experimental study of the turbulent flow in the wake of a horizontal axis tidal current turbine
    Di Felice, Fabio
    Capone, Alessandro
    Romano, Giovanni Paolo
    Pereira, Francisco Alves
    [J]. RENEWABLE ENERGY, 2023, 212 : 17 - 34
  • [37] Comparison of Actuator Line Method and Full Rotor Geometry Simulations of the Wake Field of a Tidal Stream Turbine
    Lin, Xiang-feng
    Zhang, Ji-sheng
    Zhang, Yu-quan
    Zhang, Jing
    Liu, Sheng
    [J]. WATER, 2019, 11 (03):
  • [38] Performance and near-wake characterization of a tidal current turbine in elevated levels of free stream turbulence
    Vinod, Ashwin
    Banerjee, Arindam
    [J]. APPLIED ENERGY, 2019, 254
  • [39] Investigation of wake characteristics of a yawed HAWT and its impacts on the inline downstream wind turbine using unsteady CFD
    Miao, Weipao
    Li, Chun
    Pavesi, Giorgio
    Yang, Jun
    Xie, Xiaoyun
    [J]. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2017, 168 : 60 - 71
  • [40] Optimization of wind turbine yaw angles in a wind farm using a three-dimensional yawed wake model
    Dou, Bingzheng
    Qu, Timing
    Lei, Liping
    Zeng, Pan
    [J]. ENERGY, 2020, 209