Articles | Volume 7, issue 1
https://doi.org/10.5194/wes-7-237-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-237-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Feb 2022
Research article |
| 04 Feb 2022
| 04 Feb 2022
Development of a curled wake of a yawed wind turbine under turbulent and sheared inflow
Paul Hulsman
CORRESPONDING AUTHOR
ForWind, Institute of Physics, University of Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Martin Wosnik
S102 Chase Ocean Engineering Laboratory, Department of Mechanical Engineering, University of New Hampshire, 24 Colovos Road, Durham NH 03824, United States
Vlaho Petrović
ForWind, Institute of Physics, University of Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Michael Hölling
ForWind, Institute of Physics, University of Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Martin Kühn
ForWind, Institute of Physics, University of Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
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Cited
16 citations as recorded by crossref.
- Dynamic induction control for mitigation of wake-induced power losses: a wind tunnel study under different inflow conditions M. Zúñiga Inestroza et al. https://doi.org/10.5194/wes-10-2257-2025
- Impact of free-stream turbulence and thrust coefficient on wind turbine-generated wakes M. Bourhis et al. https://doi.org/10.1017/jfm.2025.10788
- An open-source framework for the development, deployment and testing of wind farm control strategies C. Sucameli et al. https://doi.org/10.1088/1742-6596/2767/9/092043
- Load assessment of a wind farm considering negative and positive yaw misalignment for wake steering R. Thedin et al. https://doi.org/10.5194/wes-10-1033-2025
- Synergising Wake Steering and Dynamic Induction Control to Optimise Wind Farm Power under Varying Wind Directions P. Hulsman et al. https://doi.org/10.1088/1742-6596/3224/3/032115
- Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions P. Hulsman et al. https://doi.org/10.1088/1742-6596/2265/3/032074
- Assessing Closed-Loop Data-Driven Wind Farm Control Strategies within a Wind Tunnel P. Hulsman et al. https://doi.org/10.1088/1742-6596/2767/3/032049
- Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment B. Sengers et al. https://doi.org/10.5194/wes-8-747-2023
- Synchronised WindScanner field measurements of the induction zone between two closely spaced wind turbines A. Kidambi Sekar et al. https://doi.org/10.5194/wes-9-1483-2024
- Large Eddy Simulation of Yawed Wind Turbine Wake Deformation H. Kim & S. Lee https://doi.org/10.3390/en15176125
- Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects M. van den Broek et al. https://doi.org/10.5194/wes-8-1909-2023
- The characteristics of helically deflected wind turbine wakes H. Korb et al. https://doi.org/10.1017/jfm.2023.390
- The aerodynamic imbalance and asymmetric wake of a horizontal-axis wind turbine in the wind shear field X. Han et al. https://doi.org/10.1080/15567036.2026.2683618
- A multi-fidelity framework for power prediction of wind farm under yaw misalignment Y. Tu et al. https://doi.org/10.1016/j.apenergy.2024.124600
- Design of twist-modified lab-scale wind turbine rotors for enhanced wake recovery V. Sellevold et al. https://doi.org/10.1088/1742-6596/3016/1/012006
- On the impact of different static induction control strategies on a wind turbine wake M. Zúñiga Inestroza et al. https://doi.org/10.1088/1742-6596/2767/9/092082
16 citations as recorded by crossref.
- Dynamic induction control for mitigation of wake-induced power losses: a wind tunnel study under different inflow conditions M. Zúñiga Inestroza et al. https://doi.org/10.5194/wes-10-2257-2025
- Impact of free-stream turbulence and thrust coefficient on wind turbine-generated wakes M. Bourhis et al. https://doi.org/10.1017/jfm.2025.10788
- An open-source framework for the development, deployment and testing of wind farm control strategies C. Sucameli et al. https://doi.org/10.1088/1742-6596/2767/9/092043
- Load assessment of a wind farm considering negative and positive yaw misalignment for wake steering R. Thedin et al. https://doi.org/10.5194/wes-10-1033-2025
- Synergising Wake Steering and Dynamic Induction Control to Optimise Wind Farm Power under Varying Wind Directions P. Hulsman et al. https://doi.org/10.1088/1742-6596/3224/3/032115
- Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions P. Hulsman et al. https://doi.org/10.1088/1742-6596/2265/3/032074
- Assessing Closed-Loop Data-Driven Wind Farm Control Strategies within a Wind Tunnel P. Hulsman et al. https://doi.org/10.1088/1742-6596/2767/3/032049
- Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment B. Sengers et al. https://doi.org/10.5194/wes-8-747-2023
- Synchronised WindScanner field measurements of the induction zone between two closely spaced wind turbines A. Kidambi Sekar et al. https://doi.org/10.5194/wes-9-1483-2024
- Large Eddy Simulation of Yawed Wind Turbine Wake Deformation H. Kim & S. Lee https://doi.org/10.3390/en15176125
- Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects M. van den Broek et al. https://doi.org/10.5194/wes-8-1909-2023
- The characteristics of helically deflected wind turbine wakes H. Korb et al. https://doi.org/10.1017/jfm.2023.390
- The aerodynamic imbalance and asymmetric wake of a horizontal-axis wind turbine in the wind shear field X. Han et al. https://doi.org/10.1080/15567036.2026.2683618
- A multi-fidelity framework for power prediction of wind farm under yaw misalignment Y. Tu et al. https://doi.org/10.1016/j.apenergy.2024.124600
- Design of twist-modified lab-scale wind turbine rotors for enhanced wake recovery V. Sellevold et al. https://doi.org/10.1088/1742-6596/3016/1/012006
- On the impact of different static induction control strategies on a wind turbine wake M. Zúñiga Inestroza et al. https://doi.org/10.1088/1742-6596/2767/9/092082
Saved (final revised paper)
Latest update: 11 Jun 2026
Short summary
Due to the possibility of mapping the wake fast at multiple locations with the WindScanner, a thorough understanding of the development of the wake is acquired at different inflow conditions and operational conditions. The lidar velocity data and the energy dissipation rate compared favourably with hot-wire data from previous experiments, lending credibility to the measurement technique and methodology used here. This will aid the process to further improve existing wake models.
Due to the possibility of mapping the wake fast at multiple locations with the WindScanner, a...
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