A novel engineering wake model for helix-actuated wind turbine wakes

Journal Article (2026)
Author(s)

Tim Dammann (TU Delft - Team Jan-Willem van Wingerden)

Daan van der Hoek (TU Delft - Team Jan-Willem van Wingerden)

Wei Yu (TU Delft - Wind Energy)

Jan Willem van Wingerden (TU Delft - Team Jan-Willem van Wingerden)

Research Group
Team Jan-Willem van Wingerden
DOI related publication
https://doi.org/10.1016/j.apenergy.2026.127808 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Team Jan-Willem van Wingerden
Journal title
Applied Energy
Volume number
414
Article number
127808
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14
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Abstract

Engineering wake models are essential tools in wind farm design and operation. Their computational efficiency enables rapid layout optimization, energy calculation, and turbine control setpoint design. As wind farms grow in scale and density, wake interactions between turbines limit overall energy capture and increase structural loading. Wind Farm Control strategies have become critical for mitigating these effects. While wake steering, the intentional yaw misalignment of upstream turbines, has consistently demonstrated power gains, new dynamic control strategies are emerging. Among these, the Helix approach has shown particular promise in accelerating wake recovery and improving downstream power production. While engineering models for wake steering are well established, dedicated models for the Helix approach remain unavailable. This study presents a novel steady-state engineering model for predicting the velocity deficit and added turbulence of wind turbines operating under Helix actuation. The proposed model extends double-Gaussian velocity deficit and bell-curve– shaped turbulence intensity formulations to account for Helix-specific effects of actuation amplitude and ambient turbulence. Calibration and validation against high-fidelity large-eddy simulations demonstrate strong agreement across a wide range of operating conditions. The model accurately reproduces wake recovery trends, variations in the velocity-deficit profile, turbulence distributions, and the resulting downstream power availability. Finally, a case study on a large offshore wind farm illustrates that, under typical offshore atmospheric conditions, Helix control and wake steering yield individual power gains of up to 2.5% and 6.1%, respectively, while their combined application achieves total power gains of up to 7.1%.