Articles | Volume 7, issue 3
https://doi.org/10.5194/wes-7-1305-2022
© 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-7-1305-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jun 2022
Research article |
| 28 Jun 2022
| 28 Jun 2022
Experimental analysis of the effect of dynamic induction control on a wind turbine wake
Daan van der Hoek
CORRESPONDING AUTHOR
Delft Center for Systems and Control, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Delft University of Technology, Delft, the Netherlands
Joeri Frederik
Delft Center for Systems and Control, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Delft University of Technology, Delft, the Netherlands
Ming Huang
Department of Aerodynamics, Wind Energy, Flight Performance and Propulsion, Faculty of Aerospace Engineering, Delft University of Technology, Delft, the Netherlands
Fulvio Scarano
Department of Aerodynamics, Wind Energy, Flight Performance and Propulsion, Faculty of Aerospace Engineering, Delft University of Technology, Delft, the Netherlands
Carlos Simao Ferreira
Department of Aerodynamics, Wind Energy, Flight Performance and Propulsion, Faculty of Aerospace Engineering, Delft University of Technology, Delft, the Netherlands
Jan-Willem van Wingerden
Delft Center for Systems and Control, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Delft University of Technology, Delft, the Netherlands
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Cited
27 citations as recorded by crossref.
- Wake dynamics of wind turbines in unsteady streamwise flow conditions N. Wei et al. https://doi.org/10.1017/jfm.2024.999
- Coherent flow structures in the wake of a model floating wind turbine under pitch and roll motions H. Mian et al. https://doi.org/10.1016/j.energy.2025.138212
- Power and wake of a floating wind turbine in surge motion: Theoretical and experimental investigations G. Duan et al. https://doi.org/10.1016/j.enconman.2026.122028
- Phase-parameterised gaussian process for predicting UAV aerodynamic loads in operational turbine wakes Y. Chen et al. https://doi.org/10.1016/j.ast.2026.113293
- Cyclic yaw control for wind farm power optimization: Effects on wake flow in the atmospheric boundary layer G. Duan & F. Porté-Agel https://doi.org/10.1016/j.apenergy.2025.127060
- 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
- Experimental Analysis of Wakes in Floating Wind Turbines Under Dynamic Induction Control A. Fontanella et al. https://doi.org/10.1088/1742-6596/3131/1/012010
- Comparison of wind farm control strategies under realistic offshore wind conditions: turbine quantities of interest J. Frederik et al. https://doi.org/10.5194/wes-10-755-2025
- Time-varying wind-turbine wakes at high Reynolds numbers N. Wei et al. https://doi.org/10.1103/18jm-6bzj
- Volumetric three-dimensional experimental measurement of vortex dynamics in a rotating wake J. Hillestad et al. https://doi.org/10.1103/9pwb-ky8n
- Maximizing wind farm power output with the helix approach: Experimental validation and wake analysis using tomographic particle image velocimetry D. van der Hoek et al. https://doi.org/10.1002/we.2896
- Volumetric visualization of vanishing vortices in wind turbine wakes J. Hillestad et al. https://doi.org/10.1103/PhysRevFluids.9.L052701
- Design, validation, and wind tunnel tests of helium bubble generator for particle image velocimetry S. Cui et al. https://doi.org/10.1007/s12650-026-01118-4
- Experimental validation of synchronized Helix wake mixing control A. van Vondelen et al. https://doi.org/10.1016/j.renene.2025.124768
- Wind farm layout optimization using a novel machine learning approach M. Gholami Anjiraki et al. https://doi.org/10.1063/5.0326424
- Numerical investigation of rotor asymmetry to promote wake recovery A. Abraham et al. https://doi.org/10.1088/1742-6596/2505/1/012032
- Synchronized Dynamic Induction Control: An Experimental Investigation A. Van Vondelen et al. https://doi.org/10.1088/1742-6596/2767/3/032027
- Experimental comparison of induction control methods for wind farm power maximization on a scaled two-turbine setup D. Van Der Hoek et al. https://doi.org/10.1088/1742-6596/2767/9/092064
- Wind tunnel investigation of the aerodynamic response of two 15 MW floating wind turbines A. Fontanella et al. https://doi.org/10.5194/wes-7-1711-2022
- A new coupling of a GPU‐resident large‐eddy simulation code with a multiphysics wind turbine simulation tool E. Taschner et al. https://doi.org/10.1002/we.2844
- Balancing Actuation Penalties and Wake Recovery: The Efficacy of the Helix in Turbulent Inflows T. Dammann et al. https://doi.org/10.1088/1742-6596/3224/3/032002
- Progress in the modelling and management of offshore wind farm wakes: A literature review T. Sant https://doi.org/10.1016/j.oceaneng.2026.124544
- On the scalability of helium-filled soap bubbles for volumetric PIV A. Grille Guerra et al. https://doi.org/10.1007/s00348-024-03760-w
- Evaluation of different power tracking operating strategies considering turbine loading and power dynamics F. Pöschke & H. Schulte https://doi.org/10.5194/wes-7-1593-2022
- On the performance of the helix wind farm control approach in the conventionally neutral atmospheric boundary layer E. Taschner et al. https://doi.org/10.1088/1742-6596/2505/1/012006
- Dynamic wake steering control for maximizing wind farm power based on a physics-guided neural network dynamic wake model B. Li et al. https://doi.org/10.1063/5.0223631
- Helium-filled soap bubbles as flow tracer particles: a review M. Moaven & D. Carter https://doi.org/10.1007/s00348-026-04278-z
27 citations as recorded by crossref.
- Wake dynamics of wind turbines in unsteady streamwise flow conditions N. Wei et al. https://doi.org/10.1017/jfm.2024.999
- Coherent flow structures in the wake of a model floating wind turbine under pitch and roll motions H. Mian et al. https://doi.org/10.1016/j.energy.2025.138212
- Power and wake of a floating wind turbine in surge motion: Theoretical and experimental investigations G. Duan et al. https://doi.org/10.1016/j.enconman.2026.122028
- Phase-parameterised gaussian process for predicting UAV aerodynamic loads in operational turbine wakes Y. Chen et al. https://doi.org/10.1016/j.ast.2026.113293
- Cyclic yaw control for wind farm power optimization: Effects on wake flow in the atmospheric boundary layer G. Duan & F. Porté-Agel https://doi.org/10.1016/j.apenergy.2025.127060
- 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
- Experimental Analysis of Wakes in Floating Wind Turbines Under Dynamic Induction Control A. Fontanella et al. https://doi.org/10.1088/1742-6596/3131/1/012010
- Comparison of wind farm control strategies under realistic offshore wind conditions: turbine quantities of interest J. Frederik et al. https://doi.org/10.5194/wes-10-755-2025
- Time-varying wind-turbine wakes at high Reynolds numbers N. Wei et al. https://doi.org/10.1103/18jm-6bzj
- Volumetric three-dimensional experimental measurement of vortex dynamics in a rotating wake J. Hillestad et al. https://doi.org/10.1103/9pwb-ky8n
- Maximizing wind farm power output with the helix approach: Experimental validation and wake analysis using tomographic particle image velocimetry D. van der Hoek et al. https://doi.org/10.1002/we.2896
- Volumetric visualization of vanishing vortices in wind turbine wakes J. Hillestad et al. https://doi.org/10.1103/PhysRevFluids.9.L052701
- Design, validation, and wind tunnel tests of helium bubble generator for particle image velocimetry S. Cui et al. https://doi.org/10.1007/s12650-026-01118-4
- Experimental validation of synchronized Helix wake mixing control A. van Vondelen et al. https://doi.org/10.1016/j.renene.2025.124768
- Wind farm layout optimization using a novel machine learning approach M. Gholami Anjiraki et al. https://doi.org/10.1063/5.0326424
- Numerical investigation of rotor asymmetry to promote wake recovery A. Abraham et al. https://doi.org/10.1088/1742-6596/2505/1/012032
- Synchronized Dynamic Induction Control: An Experimental Investigation A. Van Vondelen et al. https://doi.org/10.1088/1742-6596/2767/3/032027
- Experimental comparison of induction control methods for wind farm power maximization on a scaled two-turbine setup D. Van Der Hoek et al. https://doi.org/10.1088/1742-6596/2767/9/092064
- Wind tunnel investigation of the aerodynamic response of two 15 MW floating wind turbines A. Fontanella et al. https://doi.org/10.5194/wes-7-1711-2022
- A new coupling of a GPU‐resident large‐eddy simulation code with a multiphysics wind turbine simulation tool E. Taschner et al. https://doi.org/10.1002/we.2844
- Balancing Actuation Penalties and Wake Recovery: The Efficacy of the Helix in Turbulent Inflows T. Dammann et al. https://doi.org/10.1088/1742-6596/3224/3/032002
- Progress in the modelling and management of offshore wind farm wakes: A literature review T. Sant https://doi.org/10.1016/j.oceaneng.2026.124544
- On the scalability of helium-filled soap bubbles for volumetric PIV A. Grille Guerra et al. https://doi.org/10.1007/s00348-024-03760-w
- Evaluation of different power tracking operating strategies considering turbine loading and power dynamics F. Pöschke & H. Schulte https://doi.org/10.5194/wes-7-1593-2022
- On the performance of the helix wind farm control approach in the conventionally neutral atmospheric boundary layer E. Taschner et al. https://doi.org/10.1088/1742-6596/2505/1/012006
- Dynamic wake steering control for maximizing wind farm power based on a physics-guided neural network dynamic wake model B. Li et al. https://doi.org/10.1063/5.0223631
- Helium-filled soap bubbles as flow tracer particles: a review M. Moaven & D. Carter https://doi.org/10.1007/s00348-026-04278-z
Saved (final revised paper)
Latest update: 15 Aug 2026
Short summary
The paper presents a wind tunnel experiment where dynamic induction control was implemented on a small-scale turbine. By periodically changing the pitch angle of the blades, the low-velocity turbine wake is perturbed, and hence it recovers at a faster rate. Small particles were released in the flow and subsequently recorded with a set of high-speed cameras. This allowed us to reconstruct the flow behind the turbine and investigate the effect of dynamic induction control on the wake.
The paper presents a wind tunnel experiment where dynamic induction control was implemented on a...
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