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April 3, 2026Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy0 citations

Passive control of boundary layer flow separation on wind turbine blade using flow deflector

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JZJunwei ZhongQZQiqi ZhangYGYufeng Gan

Key Points

  • The aim is to explore a passive control method using a flow deflector to reduce flow separation on wind turbine blades and improve performance.
  • Conducted numerical simulations using the transition SST model.
  • Investigated the flow control mechanism of a flow deflector on blade flow structure.
  • Evaluated the effects of flow deflector geometric parameters on performance.
  • Flow deflector significantly reduces flow separation, improving shaft torque and power coefficient.
  • Achieved over 38.8% enhancement in sectional power output within specific radius range.
  • Optimal configurations led to increases in torque and coefficient by 18.24% to 20.82% at various wind speeds.

Abstract

Flow separation frequently occurs in the inboard region of wind turbine blades, leading to degraded aerodynamic performance. A flow deflector (FD) is proposed as a passive flow control approach for wind turbines. The FD consists of a column of small flat plates mounted near the blade leading edge. Numerical simulations based on the transition SST model are conducted to investigate the flow control mechanism and its effects on blade flow structure and aerodynamic performance. The results show that the FD effectively deflects the local inflow toward the blade surface, guiding high-speed flow to energize the boundary layer. Therefore, flow separation is substantially suppressed, and both shaft torque and power coefficient are improved. The FD enhances sectional power output over 38.8% < r / R < 80.0%, extending beyond its installation region in the spanwise direction due to three-dimensional rotational effects. In addition, FD geometric parameters strongly influence blade aerodynamic performance. With an optimal FD configuration, the shaft torque and power coefficient increase by 18.24%, 20.77%, 7.90%, and 20.82% at wind speeds of 10, 11, 13, and 15 m/s, respectively.

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Cite This Study

Zhong et al. (2026) studied this question.

synapsesocial.com/papers/69cf5ebd5a333a821460d537https://doi.org/10.1177/09576509261441025
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