Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-409-2018
© Author(s) 2018. 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-3-409-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Towards practical dynamic induction control of wind farms: analysis of optimally controlled wind-farm boundary layers and sinusoidal induction control of first-row turbines
Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300A, 3001 Leuven, Belgium
Johan Meyers
Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300A, 3001 Leuven, Belgium
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Cited
71 citations as recorded by crossref.
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- The effect of dynamic near-wake modulation on utility-scale wind turbine wake development A. Abraham et al. 10.1088/1742-6596/1618/6/062063
- Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
- Synchronized Dynamic Induction Control: An Experimental Investigation A. Van Vondelen et al. 10.1088/1742-6596/2767/3/032027
- Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
- Vertical wake deflection for floating wind turbines by differential ballast control E. Nanos et al. 10.5194/wes-7-1641-2022
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- 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
- Opportunities for green hydrogen production with land-based wind in the United States C. Clark et al. 10.1016/j.enconman.2023.117595
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- On the load impact of dynamic wind farm wake mixing strategies J. Frederik & J. van Wingerden 10.1016/j.renene.2022.05.110
- Surrogate Models for Wind Turbine Electrical Power and Fatigue Loads in Wind Farm G. Gasparis et al. 10.3390/en13236360
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- Wind tunnel investigations of an individual pitch control strategy for wind farm power optimization F. Mühle et al. 10.5194/wes-9-1251-2024
- Mechanisms of dynamic near-wake modulation of a utility-scale wind turbine A. Abraham et al. 10.1017/jfm.2021.737
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- Dynamic wake modulation induced by utility-scale wind turbine operation A. Abraham & J. Hong 10.1016/j.apenergy.2019.114003
- Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm M. van Beek et al. 10.3390/en14051293
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- Towards real-time optimal control of wind farms using large-eddy simulations N. Janssens & J. Meyers 10.5194/wes-9-65-2024
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- The characteristics of helically deflected wind turbine wakes H. Korb et al. 10.1017/jfm.2023.390
- LES verification of HAWC2Farm aeroelastic wind farm simulations with wake steering and load analysis J. Liew et al. 10.1088/1742-6596/2265/2/022069
- Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model Z. Deng et al. 10.3390/en16093932
- 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
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- Decoupling wind–wave–wake interactions in a fixed-bottom offshore wind turbine O. Ferčák et al. 10.1016/j.apenergy.2021.118358
- Performance assessment of wake mitigation strategies M. Coquelet et al. 10.1088/1742-6596/2265/3/032078
- Periodic dynamic induction control of wind farms: proving the potential in simulations and wind tunnel experiments J. Frederik et al. 10.5194/wes-5-245-2020
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- Wind farm flow control oriented to electricity markets and grid integration: Initial perspective analysis I. Eguinoa et al. 10.1002/adc2.80
- On the Load Impact of Dynamic Wind Farm Wake Mixing Strategies J. Frederik & J. van Wingerden 10.2139/ssrn.3910237
- 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
- Aerodynamic Behavior of a Wind Turbine Under Blade Pitching Motion C. Li et al. 10.2514/1.J063926
- Adjoint optimisation for wind farm flow control with a free-vortex wake model M. van den Broek et al. 10.1016/j.renene.2022.10.120
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- A quantitative review of wind farm control with the objective of wind farm power maximization A. Kheirabadi & R. Nagamune 10.1016/j.jweia.2019.06.015
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- Exploring the application of reinforcement learning to wind farm control H. Korb et al. 10.1088/1742-6596/1934/1/012022
- Physics-informed data-driven reduced-order models for Dynamic Induction Control C. Muscari et al. 10.1016/j.ifacol.2023.10.1036
- A Tutorial on the Control of Floating Offshore Wind Turbines: Stability Challenges and Opportunities for Power Capture D. Stockhouse et al. 10.1109/MCS.2024.3433208
- Optimal dynamic induction control of a pair of inline wind turbines A. Yılmaz & J. Meyers 10.1063/1.5038600
- Prediction and Mitigation of Wind Farm Blockage Losses Considering Mesoscale Atmospheric Response L. Legris et al. 10.3390/en16010386
- The helix approach: Using dynamic individual pitch control to enhance wake mixing in wind farms J. Frederik et al. 10.1002/we.2513
- Fluid-Dynamic Mechanisms Underlying Wind Turbine Wake Control with Strouhal-Timed Actuation L. Cheung et al. 10.3390/en17040865
- 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
- Accelerated Wind-Turbine Wake Recovery Through Actuation of the Tip-Vortex Instability K. Brown et al. 10.2514/1.J060772
- A CFD‐based analysis of dynamic induction techniques for wind farm control applications A. Croce et al. 10.1002/we.2801
- Wake meandering of wind turbines under dynamic yaw control and impacts on power and fatigue M. Lin & F. Porté-Agel 10.1016/j.renene.2024.120003
- On the Potential of Reduced Order Models for Wind Farm Control: A Koopman Dynamic Mode Decomposition Approach N. Cassamo & J. van Wingerden 10.3390/en13246513
- 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
- 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
- Effectiveness of dynamic induction control strategies on the wake of a wind turbine M. Montenegro Montero et al. 10.1088/1742-6596/2265/2/022054
- 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
- Expert Elicitation on Wind Farm Control J. van Wingerden et al. 10.1088/1742-6596/1618/2/022025
- 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
- Optimal dynamic induction and yaw control of wind farms: effects of turbine spacing and layout W. Munters & J. Meyers 10.1088/1742-6596/1037/3/032015
- Instantaneous Response and Mutual Interaction between Wind Turbine and Flow S. Andersen & J. Sørensen 10.1088/1742-6596/1037/7/072011
69 citations as recorded by crossref.
- Stochastic Dynamical Modeling of Wind Farm Turbulence A. Bhatt et al. 10.3390/en16196908
- The effect of dynamic near-wake modulation on utility-scale wind turbine wake development A. Abraham et al. 10.1088/1742-6596/1618/6/062063
- Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
- Synchronized Dynamic Induction Control: An Experimental Investigation A. Van Vondelen et al. 10.1088/1742-6596/2767/3/032027
- Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
- Vertical wake deflection for floating wind turbines by differential ballast control E. Nanos et al. 10.5194/wes-7-1641-2022
- Effects of dynamic induction control on power and loads, by LES-ALM simulations and wind tunnel experiments C. Wang et al. 10.1088/1742-6596/1618/2/022036
- 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
- Opportunities for green hydrogen production with land-based wind in the United States C. Clark et al. 10.1016/j.enconman.2023.117595
- Impact of Turbulent Time Scales on Wake Recovery and Operation E. Hodgson et al. 10.1088/1742-6596/2265/2/022022
- A wind tunnel study on cyclic yaw control: Power performance and wake characteristics G. Duan et al. 10.1016/j.enconman.2023.117445
- On the load impact of dynamic wind farm wake mixing strategies J. Frederik & J. van Wingerden 10.1016/j.renene.2022.05.110
- Surrogate Models for Wind Turbine Electrical Power and Fatigue Loads in Wind Farm G. Gasparis et al. 10.3390/en13236360
- Experimental analysis of the effect of dynamic induction control on a wind turbine wake D. van der Hoek et al. 10.5194/wes-7-1305-2022
- Wind tunnel investigations of an individual pitch control strategy for wind farm power optimization F. Mühle et al. 10.5194/wes-9-1251-2024
- Mechanisms of dynamic near-wake modulation of a utility-scale wind turbine A. Abraham et al. 10.1017/jfm.2021.737
- Wind turbine rotor design under wind farm control laws L. Sartori et al. 10.1088/1742-6596/1618/4/042027
- Dynamic wake modulation induced by utility-scale wind turbine operation A. Abraham & J. Hong 10.1016/j.apenergy.2019.114003
- Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm M. van Beek et al. 10.3390/en14051293
- Effects of turbulent inflow time scales on wind turbine wake behavior and recovery E. Hodgson et al. 10.1063/5.0162311
- Wake impact of constructing a new offshore wind farm zone on an existing downwind cluster: a case study of the Belgian Princess Elisabeth zone using FLORIS W. Munters et al. 10.1088/1742-6596/2265/2/022049
- Design, steady performance and wake characterization of a scaled wind turbine with pitch, torque and yaw actuation E. Nanos et al. 10.5194/wes-7-1263-2022
- Turbulence and Control of Wind Farms C. Shapiro et al. 10.1146/annurev-control-070221-114032
- Evaluation of the impact of active wake control techniques on ultimate loads for a 10 MW wind turbine A. Croce et al. 10.5194/wes-7-1-2022
- Towards real-time optimal control of wind farms using large-eddy simulations N. Janssens & J. Meyers 10.5194/wes-9-65-2024
- Physics informed DMD for periodic Dynamic Induction Control of Wind Farms C. Muscari et al. 10.1088/1742-6596/2265/2/022057
- Evaluation of different power tracking operating strategies considering turbine loading and power dynamics F. Pöschke & H. Schulte 10.5194/wes-7-1593-2022
- Wind farm control ‐ Part I: A review on control system concepts and structures L. Andersson et al. 10.1049/rpg2.12160
- On wind farm wake mixing strategies using dynamic individual pitch control J. Frederik et al. 10.1088/1742-6596/1618/2/022050
- The characteristics of helically deflected wind turbine wakes H. Korb et al. 10.1017/jfm.2023.390
- LES verification of HAWC2Farm aeroelastic wind farm simulations with wake steering and load analysis J. Liew et al. 10.1088/1742-6596/2265/2/022069
- Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model Z. Deng et al. 10.3390/en16093932
- 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
- On the dynamic response of a pitch/torque controlled wind turbine in a pulsating dynamic wake S. Cacciola et al. 10.1088/1742-6596/1618/6/062033
- Decoupling wind–wave–wake interactions in a fixed-bottom offshore wind turbine O. Ferčák et al. 10.1016/j.apenergy.2021.118358
- Performance assessment of wake mitigation strategies M. Coquelet et al. 10.1088/1742-6596/2265/3/032078
- Periodic dynamic induction control of wind farms: proving the potential in simulations and wind tunnel experiments J. Frederik et al. 10.5194/wes-5-245-2020
- Optimal Control for Wind Turbine Wake Mixing on Floating Platforms M. Broek et al. 10.1016/j.ifacol.2023.10.1165
- Wind farm flow control oriented to electricity markets and grid integration: Initial perspective analysis I. Eguinoa et al. 10.1002/adc2.80
- On the Load Impact of Dynamic Wind Farm Wake Mixing Strategies J. Frederik & J. van Wingerden 10.2139/ssrn.3910237
- 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
- Aerodynamic Behavior of a Wind Turbine Under Blade Pitching Motion C. Li et al. 10.2514/1.J063926
- Adjoint optimisation for wind farm flow control with a free-vortex wake model M. van den Broek et al. 10.1016/j.renene.2022.10.120
- Large eddy simulation and linear stability analysis of active sway control for wind turbine array wake Z. Li et al. 10.1063/5.0216602
- A quantitative review of wind farm control with the objective of wind farm power maximization A. Kheirabadi & R. Nagamune 10.1016/j.jweia.2019.06.015
- Decentralized yaw optimization for maximizing wind farm production based on deep reinforcement learning Z. Deng et al. 10.1016/j.enconman.2023.117031
- 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
- 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
- Model-based wind turbine control design with power tracking capability: A wind-tunnel validation F. Pöschke et al. 10.1016/j.conengprac.2021.105014
- 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
- Enhancing Wind Farm Performance through Axial Induction and Tilt Control: Insights from Wind Tunnel Experiments G. Armengol Barcos & F. Porté-Agel 10.3390/en17010203
- Exploring the application of reinforcement learning to wind farm control H. Korb et al. 10.1088/1742-6596/1934/1/012022
- Physics-informed data-driven reduced-order models for Dynamic Induction Control C. Muscari et al. 10.1016/j.ifacol.2023.10.1036
- A Tutorial on the Control of Floating Offshore Wind Turbines: Stability Challenges and Opportunities for Power Capture D. Stockhouse et al. 10.1109/MCS.2024.3433208
- Optimal dynamic induction control of a pair of inline wind turbines A. Yılmaz & J. Meyers 10.1063/1.5038600
- Prediction and Mitigation of Wind Farm Blockage Losses Considering Mesoscale Atmospheric Response L. Legris et al. 10.3390/en16010386
- The helix approach: Using dynamic individual pitch control to enhance wake mixing in wind farms J. Frederik et al. 10.1002/we.2513
- Fluid-Dynamic Mechanisms Underlying Wind Turbine Wake Control with Strouhal-Timed Actuation L. Cheung et al. 10.3390/en17040865
- 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
- Accelerated Wind-Turbine Wake Recovery Through Actuation of the Tip-Vortex Instability K. Brown et al. 10.2514/1.J060772
- A CFD‐based analysis of dynamic induction techniques for wind farm control applications A. Croce et al. 10.1002/we.2801
- Wake meandering of wind turbines under dynamic yaw control and impacts on power and fatigue M. Lin & F. Porté-Agel 10.1016/j.renene.2024.120003
- On the Potential of Reduced Order Models for Wind Farm Control: A Koopman Dynamic Mode Decomposition Approach N. Cassamo & J. van Wingerden 10.3390/en13246513
- 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
- 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
- Effectiveness of dynamic induction control strategies on the wake of a wind turbine M. Montenegro Montero et al. 10.1088/1742-6596/2265/2/022054
- 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
- Expert Elicitation on Wind Farm Control J. van Wingerden et al. 10.1088/1742-6596/1618/2/022025
- 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
2 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
Wake interactions in wind farms result in power losses for downstream turbines. We aim to mitigate these losses through coordinated control of the induced slowdown of the wind by each turbine. We further analyze results from earlier work towards the utilization of such control strategies in practice. Coherent vortex shedding is identified and mimicked by a sinusoidal control. The latter is shown to increase power in downstream turbines and is robust to turbine spacing and turbulence intensity.
Wake interactions in wind farms result in power losses for downstream turbines. We aim to...
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