Articles | Volume 7, issue 6
https://doi.org/10.5194/wes-7-2271-2022
© 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-7-2271-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
25 Nov 2022
Review article |
| 25 Nov 2022
| 25 Nov 2022
Wind farm flow control: prospects and challenges
KU Leuven, Mechanical Engineering, Celestijnenlaan 300A, B3001 Leuven, Belgium
Carlo Bottasso
Chair of Wind Energy, Technische Universität München, Boltzmannstr. 15, 85748 Garching b. München, Germany
Katherine Dykes
DTU Wind Energy, Frederiksborgvej 399, 4000 Roskilde, Denmark
Paul Fleming
National Renewable Energy Laboratory, Boulder, Colorado, USA
Pieter Gebraad
Siemens Gamesa Renewable Energy, Tonsbakken 16, 2740 Skovlunde, Denmark
Gregor Giebel
DTU Wind Energy, Frederiksborgvej 399, 4000 Roskilde, Denmark
Tuhfe Göçmen
DTU Wind Energy, Frederiksborgvej 399, 4000 Roskilde, Denmark
Jan-Willem van Wingerden
Delft University of Technology, Delft Center for Systems and Control, Mekelweg 2, 2628 CD Delft, the Netherlands
Viewed
Total article views: 13,422 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Mar 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 9,943 | 3,361 | 118 | 13,422 | 209 | 104 |
- HTML: 9,943
- PDF: 3,361
- XML: 118
- Total: 13,422
- BibTeX: 209
- EndNote: 104
Total article views: 10,757 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Nov 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 8,527 | 2,136 | 94 | 10,757 | 171 | 93 |
- HTML: 8,527
- PDF: 2,136
- XML: 94
- Total: 10,757
- BibTeX: 171
- EndNote: 93
Total article views: 2,665 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Mar 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,416 | 1,225 | 24 | 2,665 | 38 | 11 |
- HTML: 1,416
- PDF: 1,225
- XML: 24
- Total: 2,665
- BibTeX: 38
- EndNote: 11
Viewed (geographical distribution)
Total article views: 13,422 (including HTML, PDF, and XML)
Thereof 12,750 with geography defined
and 672 with unknown origin.
Total article views: 10,757 (including HTML, PDF, and XML)
Thereof 10,212 with geography defined
and 545 with unknown origin.
Total article views: 2,665 (including HTML, PDF, and XML)
Thereof 2,538 with geography defined
and 127 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
118 citations as recorded by crossref.
- From wind conditions to operational strategy: optimal planning of wind turbine damage progression over its lifetime N. Requate et al. 10.5194/wes-8-1727-2023
- Wind-farm power prediction using a turbulence-optimized Gaussian wake model N. Zehtabiyan-Rezaie et al. 10.1016/j.weer.2024.100007
- Sensitivity analysis of computational domain height for semi-infinite and finite-sized wind farms W. Chanprasert et al. 10.1088/1742-6596/3016/1/012052
- Experimental comparison of induction control methods for wind farm power maximization on a scaled two-turbine setup D. Van Der Hoek et al. 10.1088/1742-6596/2767/9/092064
- A Data-Driven Model Predictive Control for Wind Farm Power Maximization M. Kim et al. 10.1109/ACCESS.2024.3420872
- Grand challenges of wind energy science – meeting the needs and services of the power system M. O'Malley et al. 10.5194/wes-9-2087-2024
- The Influence of Floating Turbine Dynamics on the Helix Wake Mixing Method D. Van Den Berg et al. 10.1088/1742-6596/2767/3/032012
- Evolution of eddy viscosity in the wake of a wind turbine R. Scott et al. 10.5194/wes-8-449-2023
- Floating Platform and Mooring Line Optimization for Wake Loss Mitigation in Offshore Wind Farms Through Wake Mixing Strategy G. Lazzerini et al. 10.3390/en18112813
- Exploring cooperation between wind farms: a wake steering optimization study of the Belgian offshore wind farm cluster B. Foloppe et al. 10.1088/1742-6596/2505/1/012055
- Tailoring anisotropic synthetic inflow turbulence generator for wind turbine wake simulations N. Ali et al. 10.1063/5.0217802
- On the power and control of a misaligned rotor – beyond the cosine law S. Tamaro et al. 10.5194/wes-9-1547-2024
- Synchronized Dynamic Induction Control: An Experimental Investigation A. Van Vondelen et al. 10.1088/1742-6596/2767/3/032027
- Recovering Corrupted Data in Wind Farm Measurements: A Matrix Completion Approach M. Silei et al. 10.3390/en16041674
- A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes M. Amiri et al. 10.1016/j.rser.2024.114279
- Hyperparameter tuning framework for calibrating analytical wake models using SCADA data of an offshore wind farm D. van Binsbergen et al. 10.5194/wes-9-1507-2024
- Integrated Design and Experimental Validation of a Fixed-Pitch Rotor for Wind Tunnel Testing A. Fontanella et al. 10.3390/en16052205
- Physics informed neural networks for wind field modeling in wind farms P. Cobelli et al. 10.1088/1742-6596/2505/1/012051
- Fluid-Dynamic Mechanisms Underlying Wind Turbine Wake Control with Strouhal-Timed Actuation L. Cheung et al. 10.3390/en17040865
- Wake asymmetry of yaw state wind turbines induced by interference with wind towers K. Shibuya & T. Uchida 10.1016/j.energy.2023.128091
- The dynamic coupling between the pulse wake mixing strategy and floating wind turbines D. van den Berg et al. 10.5194/wes-8-849-2023
- Combining wake redirection and derating strategies in a load-constrained wind farm power maximization A. Croce et al. 10.5194/wes-9-1211-2024
- Dynamic interaction of inflow and rotor time scales and impact on single turbine wake recovery S. Andersen et al. 10.1088/1742-6596/2767/9/092002
- Mimicking the Helix with a porous disc for wind tunnel testing B. De Vos et al. 10.1088/1742-6596/2767/9/092063
- Prediction and Mitigation of Wind Farm Blockage Losses Considering Mesoscale Atmospheric Response L. Legris et al. 10.3390/en16010386
- On the importance of wind predictions in wake steering optimization E. Kadoche et al. 10.5194/wes-9-1577-2024
- Wind Tunnel Testing of Combined Derating and Wake Steering F. Campagnolo et al. 10.1016/j.ifacol.2023.10.1034
- Control-oriented modelling of wind direction variability S. Dallas et al. 10.5194/wes-9-841-2024
- Dynamic wake conditions tailored by an active grid in the wind tunnel D. Onnen et al. 10.1088/1742-6596/2767/4/042038
- Wake Mixing Control For Floating Wind Farms: Analysis of the Implementation of the Helix Wake Mixing Strategy on the IEA 15-MW Floating Wind Turbine D. van den Berg et al. 10.1109/MCS.2024.3432341
- Analysis of wake recovery effects using small-diameter-ratio wind turbines for vertically staggered wind farms H. Yang et al. 10.1063/5.0191884
- The value of wake steering wind farm flow control in US energy markets E. Simley et al. 10.5194/wes-9-219-2024
- Large eddy simulation and linear stability analysis of active sway control for wind turbine array wake Z. Li et al. 10.1063/5.0216602
- Evaluating the potential of a wake steering co-design for wind farm layout optimization through a tailored genetic algorithm M. Baricchio et al. 10.5194/wes-9-2113-2024
- Inverse reinforcement learning for objective discovery in collective behavior of artificial swimmers D. Wälchli et al. 10.1103/646f-dt2k
- Investigation of far-wake models coupled with yaw-induction control for power optimization K. Heck et al. 10.1088/1742-6596/2767/9/092103
- Modelling of Wind Turbines as Porous Disks for Wind Farm Flow Studies M. Catania et al. 10.1088/1742-6596/2767/5/052049
- Structural motion control of waked floating offshore wind farms H. del Pozo Gonzalez et al. 10.1016/j.oceaneng.2024.116709
- Simulating the helix wake within an actuator disk framework: verification against discrete-blade type simulations M. Coquelet et al. 10.1088/1742-6596/2505/1/012017
- Wind pattern clustering of high frequent field measurements for dynamic wind farm flow control M. Becker et al. 10.1088/1742-6596/2767/3/032028
- A control-oriented load surrogate model based on sector-averaged inflow quantities: capturing damage for unwaked, waked, wake-steering and curtailed wind turbines A. Guilloré et al. 10.1088/1742-6596/2767/3/032019
- Experimental investigation of blade tip vortex behavior in the wake of asymmetric rotors A. Abraham & T. Leweke 10.1007/s00348-023-03646-3
- Offshore wind turbine tower design and optimization: A review and AI-driven future directions J. Alves Ribeiro et al. 10.1016/j.apenergy.2025.126294
- Advancements in Wind Farm Control: Modelling and Multi-Objective Optimization Through Yaw-Based Wake Steering T. Lucas Frutuoso et al. 10.3390/en18092247
- Influence of platform motion on the energy production of a floating wind farm M. De Pascali et al. 10.1088/1742-6596/2767/9/092046
- The impact of coherent large-scale vortices generated by helix active wake control on the recovery process of wind turbine wakes J. Gutknecht et al. 10.1063/5.0278687
- Assessment of loads and power generation for a wind farm utilizing Helix control strategy M. Mohammadi et al. 10.1088/1742-6596/3016/1/012022
- A low-computational physics-guided deep learning model for wind farm flow control under time-varying wind conditions S. He et al. 10.1016/j.energy.2025.137048
- Scalable SCADA-Based Calibration for Analytical Wake Models Across an Offshore Cluster D. Binsbergen et al. 10.1088/1742-6596/2745/1/012014
- Comparison of wind farm control strategies under realistic offshore wind conditions: turbine quantities of interest J. Frederik et al. 10.5194/wes-10-755-2025
- Analytical solutions for yawed wind-turbine wakes with application to wind-farm power optimization by active yaw control Z. Zhang et al. 10.1016/j.oceaneng.2024.117691
- A database of hourly wind speed and modeled generation for US wind plants based on three meteorological models D. Millstein et al. 10.1038/s41597-023-02804-w
- Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects M. van den Broek et al. 10.5194/wes-8-1909-2023
- LES-based validation of a dynamic wind farm flow model under unsteady inflow and yaw misalignment J. Bohrer et al. 10.1088/1742-6596/2767/3/032041
- Control co-design of a large offshore wind farm considering the effect of wind extractability M. Pahus et al. 10.1088/1742-6596/2767/9/092026
- Stochastic Dynamical Modeling of Wind Farm Turbulence A. Bhatt et al. 10.3390/en16196908
- Design of a robotic platform for hybrid wind tunnel experiments of floating wind farms A. Fontanella et al. 10.1088/1742-6596/2767/4/042008
- Phase Synchronization for Helix Enhanced Wake Mixing in Downstream Wind Turbines A. van Vondelen et al. 10.1016/j.ifacol.2023.10.1039
- Potential of Wake Scaling Techniques for Vertical-Axis Wind Turbine Wake Prediction D. Vahidi & F. Porté-Agel 10.3390/en17174527
- Modular deep learning approach for wind farm power forecasting and wake loss prediction S. Ally et al. 10.5194/wes-10-779-2025
- A multi-fidelity approach for wind farm simulations and comparison with field data W. Yu et al. 10.1088/1742-6596/2767/5/052039
- An open-source framework for the development, deployment and testing of wind farm control strategies C. Sucameli et al. 10.1088/1742-6596/2767/9/092043
- Validation of induction/steering reserve-boosting active power control by a wind tunnel experiment with dynamic wind direction changes S. Tamaro et al. 10.1088/1742-6596/2767/9/092067
- Measurement-driven large-eddy simulations of a diurnal cycle during a wake-steering field campaign E. Quon 10.5194/wes-9-495-2024
- A Supervisory Control Framework for Fatigue-Aware Wake Steering in Wind Farms Y. Shen et al. 10.3390/en18133452
- Evaluation of wind resource uncertainty on energy production estimates for offshore wind farms K. Klemmer et al. 10.1063/5.0166830
- On the performance of the helix wind farm control approach in the conventionally neutral atmospheric boundary layer E. Taschner et al. 10.1088/1742-6596/2505/1/012006
- Deep Reinforcement Learning Applied to Wake Steering C. Ros Perez et al. 10.1002/adts.202500199
- Unified momentum model for rotor aerodynamics across operating regimes J. Liew et al. 10.1038/s41467-024-50756-5
- On the impact of different static induction control strategies on a wind turbine wake M. Zúñiga Inestroza et al. 10.1088/1742-6596/2767/9/092082
- Surrogate Modeling and Aeroelastic Analysis of a Wind Turbine with Down-Regulation, Power Boosting, and IBC Capabilities V. Pettas & P. Cheng 10.3390/en17061284
- Experimental and numerical investigation on the potential of wake mixing by dynamic yaw for wind farm power optimization F. Mühle et al. 10.1088/1742-6596/2767/9/092068
- 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. 10.1002/we.2896
- Increased power gains from wake steering control using preview wind direction information B. Sengers et al. 10.5194/wes-8-1693-2023
- Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability N. Zehtabiyan-Rezaie et al. 10.1103/PRXEnergy.2.013009
- Study on the yaw-based wake steering control considering dynamic flow characteristics for wind farm power improvement X. Yu et al. 10.1088/1742-6596/2505/1/012010
- Comparison of helix and wake steering control for varying turbine spacing and wind direction E. Taschner et al. 10.1088/1742-6596/2767/3/032023
- Comparison of steady-state analytical wake models implemented in wind farm analysis software R. Mudafort et al. 10.1088/1742-6596/2767/5/052066
- Wind Farm Power Maximisation via Wake Steering: A Gaussian Process‐Based Yaw‐Dependent Parameter Tuning Approach F. Gori et al. 10.1002/we.2953
- Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. 10.1063/5.0141683
- Optimal control of wind farm power output with delay compensated nested-loop extreme seeking control Z. Wu & Y. Li 10.1063/5.0134878
- Self-consistent model for active control of wind turbine wakes Z. Li & X. Yang 10.1017/jfm.2025.10263
- Dynamic wind farm flow control using free-vortex wake models M. van den Broek et al. 10.5194/wes-9-721-2024
- Deep reinforcement learning-driven wind farm flow control considering dynamic wind H. Wang et al. 10.1016/j.enconman.2025.119888
- A blind test on wind turbine wake modelling: Benchmark results and Phase II announcement I. Chondromatidis et al. 10.1088/1742-6596/3016/1/012035
- The rotor as a sensor – observing shear and veer from the operational data of a large wind turbine M. Bertelè et al. 10.5194/wes-9-1419-2024
- Modern Strategies for Controlling Wind Power Plants: Technologies, Challenges and Prospects N. Kurylko & R. Fedoryshyn 10.23939/jeecs2024.01.056
- Field validation of a yaw misalignment observer for wind farm control M. Bertelè et al. 10.1088/1742-6596/2767/9/092013
- Large-Eddy Simulation of Wind Turbine Wakes in Forest Terrain Y. Li et al. 10.3390/su15065139
- The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data R. Braunbehrens et al. 10.5194/wes-8-691-2023
- Wind farm power optimization using system identification Y. Zhu et al. 10.1016/j.compchemeng.2024.108877
- On the robustness of a blade-load-based wind speed estimator to dynamic pitch control strategies M. Coquelet et al. 10.5194/wes-9-1923-2024
- Field measurement and analysis of near-ground wind field characteristics and wind pressure on tracking photovoltaic panels T. Bao et al. 10.1016/j.energy.2025.135400
- Resolvent-based motion-to-wake modelling of wind turbine wakes under dynamic rotor motion Z. Li & X. Yang 10.1017/jfm.2023.1097
- Uncertainty of toggling in wake steering experiments under diurnal cycle atmospheric conditions: an LES study E. Hodgson et al. 10.1088/1742-6596/3016/1/012026
- Exploring the Power & Loads Paradigm: Tocha Farm Case Study T. Lucas Frutuoso et al. 10.1088/1742-6596/2767/9/092102
- Positive effect of wind farm control on energy production and revenue in European markets F. Wasilczuk et al. 10.1016/j.energy.2025.136159
- Characterization of wind turbine flow through nacelle-mounted lidars: a review S. Letizia et al. 10.3389/fmech.2023.1261017
- Multi-row extremum seeking for wind farm power maximization M. Rotea et al. 10.1088/1742-6596/2767/3/032043
- Wake turbulence modeling in stratified atmospheric flows using a novel k−ℓ model K. Klemmer & M. Howland 10.1063/5.0249278
- Towards real-time optimal control of wind farms using large-eddy simulations N. Janssens & J. Meyers 10.5194/wes-9-65-2024
- Dynamic individual pitch control for wake mitigation: Why does the helix handedness in the wake matter? M. Coquelet et al. 10.1088/1742-6596/2767/9/092084
- Winds of Progress: An In-Depth Exploration of Offshore, Floating, and Onshore Wind Turbines as Cornerstones for Sustainable Energy Generation and Environmental Stewardship S. Khan Afridi et al. 10.1109/ACCESS.2024.3397243
- Wake dynamics of wind turbines in unsteady streamwise flow conditions N. Wei et al. 10.1017/jfm.2024.999
- Aerodynamic effects of leading-edge erosion in wind farm flow modeling J. Visbech et al. 10.5194/wes-9-1811-2024
- Reinforcement learning for wind-farm flow control: Current state and future actions M. Abkar et al. 10.1016/j.taml.2023.100475
- A meso–micro atmospheric perturbation model for wind farm blockage K. Devesse et al. 10.1017/jfm.2024.868
- Secondary flows in the actuator-disk simulation of wind-turbine wakes N. Zehtabiyan-Rezaie et al. 10.1063/5.0203068
- Model predictive control of wakes for wind farm power tracking A. Sterle et al. 10.1088/1742-6596/2767/3/032005
- Understanding wind farm power densities R. Stevens 10.1017/jfm.2023.113
- Wind plant wake losses: Disconnect between turbine actuation and control of plant wakes with engineering wake models R. Scott et al. 10.1063/5.0207013
- Wind tunnel investigations of an individual pitch control strategy for wind farm power optimization F. Mühle et al. 10.5194/wes-9-1251-2024
- Development and validation of a hybrid data-driven model-based wake steering controller and its application at a utility-scale wind plant P. Bachant et al. 10.5194/wes-9-2235-2024
- A new coupling of a GPU‐resident large‐eddy simulation code with a multiphysics wind turbine simulation tool E. Taschner et al. 10.1002/we.2844
- FarmConners wind farm flow control benchmark – Part 1: Blind test results T. Göçmen et al. 10.5194/wes-7-1791-2022
- FarmConners market showcase results: wind farm flow control considering electricity prices K. Kölle et al. 10.5194/wes-7-2181-2022
- Wind tunnel investigation of the aerodynamic response of two 15 MW floating wind turbines A. Fontanella et al. 10.5194/wes-7-1711-2022
- A Probabilistic Learning Approach Applied to the Optimization of Wake Steering in Wind Farms J. Almeida & F. Rochinha 10.1115/1.4054501
113 citations as recorded by crossref.
- From wind conditions to operational strategy: optimal planning of wind turbine damage progression over its lifetime N. Requate et al. 10.5194/wes-8-1727-2023
- Wind-farm power prediction using a turbulence-optimized Gaussian wake model N. Zehtabiyan-Rezaie et al. 10.1016/j.weer.2024.100007
- Sensitivity analysis of computational domain height for semi-infinite and finite-sized wind farms W. Chanprasert et al. 10.1088/1742-6596/3016/1/012052
- Experimental comparison of induction control methods for wind farm power maximization on a scaled two-turbine setup D. Van Der Hoek et al. 10.1088/1742-6596/2767/9/092064
- A Data-Driven Model Predictive Control for Wind Farm Power Maximization M. Kim et al. 10.1109/ACCESS.2024.3420872
- Grand challenges of wind energy science – meeting the needs and services of the power system M. O'Malley et al. 10.5194/wes-9-2087-2024
- The Influence of Floating Turbine Dynamics on the Helix Wake Mixing Method D. Van Den Berg et al. 10.1088/1742-6596/2767/3/032012
- Evolution of eddy viscosity in the wake of a wind turbine R. Scott et al. 10.5194/wes-8-449-2023
- Floating Platform and Mooring Line Optimization for Wake Loss Mitigation in Offshore Wind Farms Through Wake Mixing Strategy G. Lazzerini et al. 10.3390/en18112813
- Exploring cooperation between wind farms: a wake steering optimization study of the Belgian offshore wind farm cluster B. Foloppe et al. 10.1088/1742-6596/2505/1/012055
- Tailoring anisotropic synthetic inflow turbulence generator for wind turbine wake simulations N. Ali et al. 10.1063/5.0217802
- On the power and control of a misaligned rotor – beyond the cosine law S. Tamaro et al. 10.5194/wes-9-1547-2024
- Synchronized Dynamic Induction Control: An Experimental Investigation A. Van Vondelen et al. 10.1088/1742-6596/2767/3/032027
- Recovering Corrupted Data in Wind Farm Measurements: A Matrix Completion Approach M. Silei et al. 10.3390/en16041674
- A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes M. Amiri et al. 10.1016/j.rser.2024.114279
- Hyperparameter tuning framework for calibrating analytical wake models using SCADA data of an offshore wind farm D. van Binsbergen et al. 10.5194/wes-9-1507-2024
- Integrated Design and Experimental Validation of a Fixed-Pitch Rotor for Wind Tunnel Testing A. Fontanella et al. 10.3390/en16052205
- Physics informed neural networks for wind field modeling in wind farms P. Cobelli et al. 10.1088/1742-6596/2505/1/012051
- Fluid-Dynamic Mechanisms Underlying Wind Turbine Wake Control with Strouhal-Timed Actuation L. Cheung et al. 10.3390/en17040865
- Wake asymmetry of yaw state wind turbines induced by interference with wind towers K. Shibuya & T. Uchida 10.1016/j.energy.2023.128091
- The dynamic coupling between the pulse wake mixing strategy and floating wind turbines D. van den Berg et al. 10.5194/wes-8-849-2023
- Combining wake redirection and derating strategies in a load-constrained wind farm power maximization A. Croce et al. 10.5194/wes-9-1211-2024
- Dynamic interaction of inflow and rotor time scales and impact on single turbine wake recovery S. Andersen et al. 10.1088/1742-6596/2767/9/092002
- Mimicking the Helix with a porous disc for wind tunnel testing B. De Vos et al. 10.1088/1742-6596/2767/9/092063
- Prediction and Mitigation of Wind Farm Blockage Losses Considering Mesoscale Atmospheric Response L. Legris et al. 10.3390/en16010386
- On the importance of wind predictions in wake steering optimization E. Kadoche et al. 10.5194/wes-9-1577-2024
- Wind Tunnel Testing of Combined Derating and Wake Steering F. Campagnolo et al. 10.1016/j.ifacol.2023.10.1034
- Control-oriented modelling of wind direction variability S. Dallas et al. 10.5194/wes-9-841-2024
- Dynamic wake conditions tailored by an active grid in the wind tunnel D. Onnen et al. 10.1088/1742-6596/2767/4/042038
- Wake Mixing Control For Floating Wind Farms: Analysis of the Implementation of the Helix Wake Mixing Strategy on the IEA 15-MW Floating Wind Turbine D. van den Berg et al. 10.1109/MCS.2024.3432341
- Analysis of wake recovery effects using small-diameter-ratio wind turbines for vertically staggered wind farms H. Yang et al. 10.1063/5.0191884
- The value of wake steering wind farm flow control in US energy markets E. Simley et al. 10.5194/wes-9-219-2024
- Large eddy simulation and linear stability analysis of active sway control for wind turbine array wake Z. Li et al. 10.1063/5.0216602
- Evaluating the potential of a wake steering co-design for wind farm layout optimization through a tailored genetic algorithm M. Baricchio et al. 10.5194/wes-9-2113-2024
- Inverse reinforcement learning for objective discovery in collective behavior of artificial swimmers D. Wälchli et al. 10.1103/646f-dt2k
- Investigation of far-wake models coupled with yaw-induction control for power optimization K. Heck et al. 10.1088/1742-6596/2767/9/092103
- Modelling of Wind Turbines as Porous Disks for Wind Farm Flow Studies M. Catania et al. 10.1088/1742-6596/2767/5/052049
- Structural motion control of waked floating offshore wind farms H. del Pozo Gonzalez et al. 10.1016/j.oceaneng.2024.116709
- Simulating the helix wake within an actuator disk framework: verification against discrete-blade type simulations M. Coquelet et al. 10.1088/1742-6596/2505/1/012017
- Wind pattern clustering of high frequent field measurements for dynamic wind farm flow control M. Becker et al. 10.1088/1742-6596/2767/3/032028
- A control-oriented load surrogate model based on sector-averaged inflow quantities: capturing damage for unwaked, waked, wake-steering and curtailed wind turbines A. Guilloré et al. 10.1088/1742-6596/2767/3/032019
- Experimental investigation of blade tip vortex behavior in the wake of asymmetric rotors A. Abraham & T. Leweke 10.1007/s00348-023-03646-3
- Offshore wind turbine tower design and optimization: A review and AI-driven future directions J. Alves Ribeiro et al. 10.1016/j.apenergy.2025.126294
- Advancements in Wind Farm Control: Modelling and Multi-Objective Optimization Through Yaw-Based Wake Steering T. Lucas Frutuoso et al. 10.3390/en18092247
- Influence of platform motion on the energy production of a floating wind farm M. De Pascali et al. 10.1088/1742-6596/2767/9/092046
- The impact of coherent large-scale vortices generated by helix active wake control on the recovery process of wind turbine wakes J. Gutknecht et al. 10.1063/5.0278687
- Assessment of loads and power generation for a wind farm utilizing Helix control strategy M. Mohammadi et al. 10.1088/1742-6596/3016/1/012022
- A low-computational physics-guided deep learning model for wind farm flow control under time-varying wind conditions S. He et al. 10.1016/j.energy.2025.137048
- Scalable SCADA-Based Calibration for Analytical Wake Models Across an Offshore Cluster D. Binsbergen et al. 10.1088/1742-6596/2745/1/012014
- Comparison of wind farm control strategies under realistic offshore wind conditions: turbine quantities of interest J. Frederik et al. 10.5194/wes-10-755-2025
- Analytical solutions for yawed wind-turbine wakes with application to wind-farm power optimization by active yaw control Z. Zhang et al. 10.1016/j.oceaneng.2024.117691
- A database of hourly wind speed and modeled generation for US wind plants based on three meteorological models D. Millstein et al. 10.1038/s41597-023-02804-w
- Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects M. van den Broek et al. 10.5194/wes-8-1909-2023
- LES-based validation of a dynamic wind farm flow model under unsteady inflow and yaw misalignment J. Bohrer et al. 10.1088/1742-6596/2767/3/032041
- Control co-design of a large offshore wind farm considering the effect of wind extractability M. Pahus et al. 10.1088/1742-6596/2767/9/092026
- Stochastic Dynamical Modeling of Wind Farm Turbulence A. Bhatt et al. 10.3390/en16196908
- Design of a robotic platform for hybrid wind tunnel experiments of floating wind farms A. Fontanella et al. 10.1088/1742-6596/2767/4/042008
- Phase Synchronization for Helix Enhanced Wake Mixing in Downstream Wind Turbines A. van Vondelen et al. 10.1016/j.ifacol.2023.10.1039
- Potential of Wake Scaling Techniques for Vertical-Axis Wind Turbine Wake Prediction D. Vahidi & F. Porté-Agel 10.3390/en17174527
- Modular deep learning approach for wind farm power forecasting and wake loss prediction S. Ally et al. 10.5194/wes-10-779-2025
- A multi-fidelity approach for wind farm simulations and comparison with field data W. Yu et al. 10.1088/1742-6596/2767/5/052039
- An open-source framework for the development, deployment and testing of wind farm control strategies C. Sucameli et al. 10.1088/1742-6596/2767/9/092043
- Validation of induction/steering reserve-boosting active power control by a wind tunnel experiment with dynamic wind direction changes S. Tamaro et al. 10.1088/1742-6596/2767/9/092067
- Measurement-driven large-eddy simulations of a diurnal cycle during a wake-steering field campaign E. Quon 10.5194/wes-9-495-2024
- A Supervisory Control Framework for Fatigue-Aware Wake Steering in Wind Farms Y. Shen et al. 10.3390/en18133452
- Evaluation of wind resource uncertainty on energy production estimates for offshore wind farms K. Klemmer et al. 10.1063/5.0166830
- On the performance of the helix wind farm control approach in the conventionally neutral atmospheric boundary layer E. Taschner et al. 10.1088/1742-6596/2505/1/012006
- Deep Reinforcement Learning Applied to Wake Steering C. Ros Perez et al. 10.1002/adts.202500199
- Unified momentum model for rotor aerodynamics across operating regimes J. Liew et al. 10.1038/s41467-024-50756-5
- On the impact of different static induction control strategies on a wind turbine wake M. Zúñiga Inestroza et al. 10.1088/1742-6596/2767/9/092082
- Surrogate Modeling and Aeroelastic Analysis of a Wind Turbine with Down-Regulation, Power Boosting, and IBC Capabilities V. Pettas & P. Cheng 10.3390/en17061284
- Experimental and numerical investigation on the potential of wake mixing by dynamic yaw for wind farm power optimization F. Mühle et al. 10.1088/1742-6596/2767/9/092068
- 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. 10.1002/we.2896
- Increased power gains from wake steering control using preview wind direction information B. Sengers et al. 10.5194/wes-8-1693-2023
- Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability N. Zehtabiyan-Rezaie et al. 10.1103/PRXEnergy.2.013009
- Study on the yaw-based wake steering control considering dynamic flow characteristics for wind farm power improvement X. Yu et al. 10.1088/1742-6596/2505/1/012010
- Comparison of helix and wake steering control for varying turbine spacing and wind direction E. Taschner et al. 10.1088/1742-6596/2767/3/032023
- Comparison of steady-state analytical wake models implemented in wind farm analysis software R. Mudafort et al. 10.1088/1742-6596/2767/5/052066
- Wind Farm Power Maximisation via Wake Steering: A Gaussian Process‐Based Yaw‐Dependent Parameter Tuning Approach F. Gori et al. 10.1002/we.2953
- Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. 10.1063/5.0141683
- Optimal control of wind farm power output with delay compensated nested-loop extreme seeking control Z. Wu & Y. Li 10.1063/5.0134878
- Self-consistent model for active control of wind turbine wakes Z. Li & X. Yang 10.1017/jfm.2025.10263
- Dynamic wind farm flow control using free-vortex wake models M. van den Broek et al. 10.5194/wes-9-721-2024
- Deep reinforcement learning-driven wind farm flow control considering dynamic wind H. Wang et al. 10.1016/j.enconman.2025.119888
- A blind test on wind turbine wake modelling: Benchmark results and Phase II announcement I. Chondromatidis et al. 10.1088/1742-6596/3016/1/012035
- The rotor as a sensor – observing shear and veer from the operational data of a large wind turbine M. Bertelè et al. 10.5194/wes-9-1419-2024
- Modern Strategies for Controlling Wind Power Plants: Technologies, Challenges and Prospects N. Kurylko & R. Fedoryshyn 10.23939/jeecs2024.01.056
- Field validation of a yaw misalignment observer for wind farm control M. Bertelè et al. 10.1088/1742-6596/2767/9/092013
- Large-Eddy Simulation of Wind Turbine Wakes in Forest Terrain Y. Li et al. 10.3390/su15065139
- The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data R. Braunbehrens et al. 10.5194/wes-8-691-2023
- Wind farm power optimization using system identification Y. Zhu et al. 10.1016/j.compchemeng.2024.108877
- On the robustness of a blade-load-based wind speed estimator to dynamic pitch control strategies M. Coquelet et al. 10.5194/wes-9-1923-2024
- Field measurement and analysis of near-ground wind field characteristics and wind pressure on tracking photovoltaic panels T. Bao et al. 10.1016/j.energy.2025.135400
- Resolvent-based motion-to-wake modelling of wind turbine wakes under dynamic rotor motion Z. Li & X. Yang 10.1017/jfm.2023.1097
- Uncertainty of toggling in wake steering experiments under diurnal cycle atmospheric conditions: an LES study E. Hodgson et al. 10.1088/1742-6596/3016/1/012026
- Exploring the Power & Loads Paradigm: Tocha Farm Case Study T. Lucas Frutuoso et al. 10.1088/1742-6596/2767/9/092102
- Positive effect of wind farm control on energy production and revenue in European markets F. Wasilczuk et al. 10.1016/j.energy.2025.136159
- Characterization of wind turbine flow through nacelle-mounted lidars: a review S. Letizia et al. 10.3389/fmech.2023.1261017
- Multi-row extremum seeking for wind farm power maximization M. Rotea et al. 10.1088/1742-6596/2767/3/032043
- Wake turbulence modeling in stratified atmospheric flows using a novel k−ℓ model K. Klemmer & M. Howland 10.1063/5.0249278
- Towards real-time optimal control of wind farms using large-eddy simulations N. Janssens & J. Meyers 10.5194/wes-9-65-2024
- Dynamic individual pitch control for wake mitigation: Why does the helix handedness in the wake matter? M. Coquelet et al. 10.1088/1742-6596/2767/9/092084
- Winds of Progress: An In-Depth Exploration of Offshore, Floating, and Onshore Wind Turbines as Cornerstones for Sustainable Energy Generation and Environmental Stewardship S. Khan Afridi et al. 10.1109/ACCESS.2024.3397243
- Wake dynamics of wind turbines in unsteady streamwise flow conditions N. Wei et al. 10.1017/jfm.2024.999
- Aerodynamic effects of leading-edge erosion in wind farm flow modeling J. Visbech et al. 10.5194/wes-9-1811-2024
- Reinforcement learning for wind-farm flow control: Current state and future actions M. Abkar et al. 10.1016/j.taml.2023.100475
- A meso–micro atmospheric perturbation model for wind farm blockage K. Devesse et al. 10.1017/jfm.2024.868
- Secondary flows in the actuator-disk simulation of wind-turbine wakes N. Zehtabiyan-Rezaie et al. 10.1063/5.0203068
- Model predictive control of wakes for wind farm power tracking A. Sterle et al. 10.1088/1742-6596/2767/3/032005
- Understanding wind farm power densities R. Stevens 10.1017/jfm.2023.113
- Wind plant wake losses: Disconnect between turbine actuation and control of plant wakes with engineering wake models R. Scott et al. 10.1063/5.0207013
- Wind tunnel investigations of an individual pitch control strategy for wind farm power optimization F. Mühle et al. 10.5194/wes-9-1251-2024
- Development and validation of a hybrid data-driven model-based wake steering controller and its application at a utility-scale wind plant P. Bachant et al. 10.5194/wes-9-2235-2024
5 citations as recorded by crossref.
- A new coupling of a GPU‐resident large‐eddy simulation code with a multiphysics wind turbine simulation tool E. Taschner et al. 10.1002/we.2844
- FarmConners wind farm flow control benchmark – Part 1: Blind test results T. Göçmen et al. 10.5194/wes-7-1791-2022
- FarmConners market showcase results: wind farm flow control considering electricity prices K. Kölle et al. 10.5194/wes-7-2181-2022
- Wind tunnel investigation of the aerodynamic response of two 15 MW floating wind turbines A. Fontanella et al. 10.5194/wes-7-1711-2022
- A Probabilistic Learning Approach Applied to the Optimization of Wake Steering in Wind Farms J. Almeida & F. Rochinha 10.1115/1.4054501
Latest update: 07 Jul 2025
Download
- Article
(5817 KB) - Full-text XML
Short summary
We provide a comprehensive overview of the state of the art and the outstanding challenges in wind farm flow control, thus identifying the key research areas that could further enable commercial uptake and success. To this end, we have structured the discussion on challenges and opportunities into four main areas: (1) insight into control flow physics, (2) algorithms and AI, (3) validation and industry implementation, and (4) integrating control with system design
(co-design).
We provide a comprehensive overview of the state of the art and the outstanding challenges in...
Altmetrics
Final-revised paper
Preprint