Articles | Volume 9, issue 9
https://doi.org/10.5194/wes-9-1827-2024
© Author(s) 2024. 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-9-1827-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Investigating the interactions between wakes and floating wind turbines using FAST.Farm
National Renewable Energy Laboratory, Golden, CO 80401, USA
Jason Jonkman
National Renewable Energy Laboratory, Golden, CO 80401, USA
Regis Thedin
National Renewable Energy Laboratory, Golden, CO 80401, USA
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Cited
21 citations as recorded by crossref.
- Fully coupled aero–hydro–mooring–aeroelastic responses of tandem floating offshore wind turbines under wake interference R. Liang et al. https://doi.org/10.1016/j.oceaneng.2026.125129
- Numerical modelling of offshore wind-farm cluster wakes P. Ouro et al. https://doi.org/10.1016/j.rser.2025.115526
- Investigation of wake steering control effects on the dynamic responses of 15 MW semi-submersible floating wind farms T. Zhang et al. https://doi.org/10.1016/j.renene.2025.123704
- Parametric assessment of downstream aerodynamic response under coupled wake effects and platform motions in floating wind turbines G. Xiaoxia et al. https://doi.org/10.1016/j.oceaneng.2026.126274
- Impact of surge motion on wake characteristics, power performance and fatigue loads of two tandem floating wind turbines X. Hu et al. https://doi.org/10.1016/j.apenergy.2026.127999
- Hardware-in-the-loop wind-tunnel testing of wake interactions between two floating wind turbines A. Fontanella et al. https://doi.org/10.1088/1742-6596/3224/8/082005
- Calibration and validation of FAST.Farm against LES for floating offshore wind farms B. Iacono et al. https://doi.org/10.1088/1742-6596/3224/3/032130
- Platform Mass Reduction for Floating Offshore Wind Turbines: Effects on Static Pitch and Farm Energy Production I. Baptista et al. https://doi.org/10.1088/1742-6596/3224/8/082017
- Machine learning-based Bi-objective optimization of offshore turbine sets considering yaw control J. Li et al. https://doi.org/10.1016/j.marstruc.2026.104111
- Transfer Learning for Centralized Deep Reinforcement Learning Wind Farm Control with FLORIS and FAST.Farm M. Ebrahimi et al. https://doi.org/10.1088/1742-6596/3224/3/032133
- Experimental investigation of the effects of floating wind turbine motion on a downstream turbine performance and loads A. Fontanella et al. https://doi.org/10.5194/wes-11-1821-2026
- Improving Floating Offshore Wind Farm Flow Control With Scalable Model-Based Deep Reinforcement Learning M. Mei et al. https://doi.org/10.1109/TASE.2025.3585016
- Study on Yaw Control of the Semi-Submersible Wind Turbine Array Under Misaligned Wind-Wave Conditions X. Zhang et al. https://doi.org/10.3390/modelling7010002
- Evolution of Aerodynamic Performance and Wake Interference Characteristics of Tandem Floating Wind Turbines H. Liu et al. https://doi.org/10.1007/s13369-026-11395-8
- Wind Farm Design with 15 MW Floating Offshore Wind Turbines in Typhoon Regions K. Ma et al. https://doi.org/10.3390/jmse13040687
- Unsteady aerodynamic loads and wake dynamics of twin floating vertical axis wind turbines under asynchronous phase rolling excitation H. Yang et al. https://doi.org/10.1063/5.0304504
- Effects of wake-added turbulence on extreme loads and fatigue damage of floating offshore wind turbines X. Xu et al. https://doi.org/10.1063/5.0294356
- A review on modeling, simulation and experiment of dynamic wake effect of floating offshore wind turbines Z. He et al. https://doi.org/10.1016/j.apenergy.2025.127283
- Main bearing response in a waked 15-MW floating wind turbine in below-rated conditions V. Krathe et al. https://doi.org/10.1007/s10010-025-00808-z
- Wind Tunnel Evaluation of Aerodynamic Loads in FAST.Farm Under Controlled Wake Conditions A. Fontanella et al. https://doi.org/10.1002/we.70026
- Numerical study on the impact of structural flexibility and platform motions on the dynamic behaviors and wake characteristics of floating offshore wind turbine S. Liu et al. https://doi.org/10.1063/5.0272108
21 citations as recorded by crossref.
- Fully coupled aero–hydro–mooring–aeroelastic responses of tandem floating offshore wind turbines under wake interference R. Liang et al. https://doi.org/10.1016/j.oceaneng.2026.125129
- Numerical modelling of offshore wind-farm cluster wakes P. Ouro et al. https://doi.org/10.1016/j.rser.2025.115526
- Investigation of wake steering control effects on the dynamic responses of 15 MW semi-submersible floating wind farms T. Zhang et al. https://doi.org/10.1016/j.renene.2025.123704
- Parametric assessment of downstream aerodynamic response under coupled wake effects and platform motions in floating wind turbines G. Xiaoxia et al. https://doi.org/10.1016/j.oceaneng.2026.126274
- Impact of surge motion on wake characteristics, power performance and fatigue loads of two tandem floating wind turbines X. Hu et al. https://doi.org/10.1016/j.apenergy.2026.127999
- Hardware-in-the-loop wind-tunnel testing of wake interactions between two floating wind turbines A. Fontanella et al. https://doi.org/10.1088/1742-6596/3224/8/082005
- Calibration and validation of FAST.Farm against LES for floating offshore wind farms B. Iacono et al. https://doi.org/10.1088/1742-6596/3224/3/032130
- Platform Mass Reduction for Floating Offshore Wind Turbines: Effects on Static Pitch and Farm Energy Production I. Baptista et al. https://doi.org/10.1088/1742-6596/3224/8/082017
- Machine learning-based Bi-objective optimization of offshore turbine sets considering yaw control J. Li et al. https://doi.org/10.1016/j.marstruc.2026.104111
- Transfer Learning for Centralized Deep Reinforcement Learning Wind Farm Control with FLORIS and FAST.Farm M. Ebrahimi et al. https://doi.org/10.1088/1742-6596/3224/3/032133
- Experimental investigation of the effects of floating wind turbine motion on a downstream turbine performance and loads A. Fontanella et al. https://doi.org/10.5194/wes-11-1821-2026
- Improving Floating Offshore Wind Farm Flow Control With Scalable Model-Based Deep Reinforcement Learning M. Mei et al. https://doi.org/10.1109/TASE.2025.3585016
- Study on Yaw Control of the Semi-Submersible Wind Turbine Array Under Misaligned Wind-Wave Conditions X. Zhang et al. https://doi.org/10.3390/modelling7010002
- Evolution of Aerodynamic Performance and Wake Interference Characteristics of Tandem Floating Wind Turbines H. Liu et al. https://doi.org/10.1007/s13369-026-11395-8
- Wind Farm Design with 15 MW Floating Offshore Wind Turbines in Typhoon Regions K. Ma et al. https://doi.org/10.3390/jmse13040687
- Unsteady aerodynamic loads and wake dynamics of twin floating vertical axis wind turbines under asynchronous phase rolling excitation H. Yang et al. https://doi.org/10.1063/5.0304504
- Effects of wake-added turbulence on extreme loads and fatigue damage of floating offshore wind turbines X. Xu et al. https://doi.org/10.1063/5.0294356
- A review on modeling, simulation and experiment of dynamic wake effect of floating offshore wind turbines Z. He et al. https://doi.org/10.1016/j.apenergy.2025.127283
- Main bearing response in a waked 15-MW floating wind turbine in below-rated conditions V. Krathe et al. https://doi.org/10.1007/s10010-025-00808-z
- Wind Tunnel Evaluation of Aerodynamic Loads in FAST.Farm Under Controlled Wake Conditions A. Fontanella et al. https://doi.org/10.1002/we.70026
- Numerical study on the impact of structural flexibility and platform motions on the dynamic behaviors and wake characteristics of floating offshore wind turbine S. Liu et al. https://doi.org/10.1063/5.0272108
Saved (final revised paper)
Latest update: 13 Jun 2026
Short summary
As floating wind turbines progress to arrays with multiple units, it becomes important to understand how the wake of a floating turbine affects the performance of other units in the array. Due to the compliance of the floating substructure, the wake of a floating wind turbine may behave differently from that of a fixed turbine. In this work, we present an investigation of the mutual interaction between the motions of floating wind turbines and wakes.
As floating wind turbines progress to arrays with multiple units, it becomes important to...
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