Research article
08 May 2017
Research article
| 08 May 2017
Field test of wake steering at an offshore wind farm
Paul Fleming et al.
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Cited
103 citations as recorded by crossref.
- Local turbulence parameterization improves the Jensen wake model and its implementation for power optimization of an operating wind farm T. Duc et al. 10.5194/wes-4-287-2019
- Blade planform design optimization to enhance turbine wake control J. Allen et al. 10.1002/we.2699
- Evaluation of the potential for wake steering for U.S. land-based wind power plants D. Bensason et al. 10.1063/5.0039325
- Large eddy simulations of curled wakes from tilted wind turbines H. Johlas et al. 10.1016/j.renene.2022.02.018
- Real-time relocation of floating offshore wind turbine platforms for wind farm efficiency maximization: An assessment of feasibility and steady-state potential A. Kheirabadi & R. Nagamune 10.1016/j.oceaneng.2020.107445
- Adjoint-based model predictive control for optimal energy extraction in waked wind farms M. Vali et al. 10.1016/j.conengprac.2018.11.005
- 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
- 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
- Wind Turbine Power Curve Upgrades: Part II D. Astolfi & F. Castellani 10.3390/en12081503
- Real-time identification of clusters of turbines F. Bernardoni et al. 10.1088/1742-6596/1618/2/022032
- Wake Management in Wind Farms: An Adaptive Control Approach H. Dhiman et al. 10.3390/en12071247
- Wake steering of multirotor wind turbines G. Speakman et al. 10.1002/we.2633
- Wind farm power maximization through wake steering with a new multiple wake model for prediction of turbulence intensity G. Qian & T. Ishihara 10.1016/j.energy.2020.119680
- An active power control approach for wake-induced load alleviation in a fully developed wind farm boundary layer M. Vali et al. 10.5194/wes-4-139-2019
- A review of full-scale wind-field measurements of the wind-turbine wake effect and a measurement of the wake-interaction effect H. Sun et al. 10.1016/j.rser.2020.110042
- Wind plants can impact long-term local atmospheric conditions N. Bodini et al. 10.1038/s41598-021-02089-2
- Multiobjective model predictive control design for wind turbines and farms L. Buccafusca & C. Beck 10.1063/5.0039707
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control B. Doekemeijer et al. 10.5194/wes-3-749-2018
- Joint optimization of wind farm layout considering optimal control K. Chen et al. 10.1016/j.renene.2021.10.032
- Wind turbine drivetrains: state-of-the-art technologies and future development trends A. Nejad et al. 10.5194/wes-7-387-2022
- A low-fidelity dynamic wind farm model for simulating time-varying wind conditions and floating platform motion A. Kheirabadi & R. Nagamune 10.1016/j.oceaneng.2021.109313
- Design and analysis of a wake steering controller with wind direction variability E. Simley et al. 10.5194/wes-5-451-2020
- A point vortex transportation model for yawed wind turbine wakes H. Zong & F. Porté-Agel 10.1017/jfm.2020.123
- Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data L. Andersson et al. 10.1088/1742-6596/1618/2/022043
- The helix approach: Using dynamic individual pitch control to enhance wake mixing in wind farms J. Frederik et al. 10.1002/we.2513
- Wind tunnel testing of wake steering with dynamic wind direction changes F. Campagnolo et al. 10.5194/wes-5-1273-2020
- Mechanical behaviour of wind turbines operating above design conditions F. Castellani et al. 10.1016/j.prostr.2020.02.045
- Optimising yaw control at wind farm level E. Bossanyi 10.1088/1742-6596/1222/1/012023
- Analysis of control-oriented wake modeling tools using lidar field results J. Annoni et al. 10.5194/wes-3-819-2018
- Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms T. Ahmad et al. 10.3390/en12071266
- Improving wind farm flow models by learning from operational data J. Schreiber et al. 10.5194/wes-5-647-2020
- On the Robustness of Active Wake Control to Wind Turbine Downtime S. Kanev 10.3390/en12163152
- Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. 10.5194/wes-3-257-2018
- Wind Turbine Yaw Control Optimization and Its Impact on Performance D. Astolfi et al. 10.3390/machines7020041
- A new method to characterize the curled wake shape under yaw misalignment B. Sengers et al. 10.1088/1742-6596/1618/6/062050
- Dynamic wake steering and its impact on wind farm power production and yaw actuator duty S. Kanev 10.1016/j.renene.2019.06.122
- Numerical and Experimental Methods for the Assessment of Wind Turbine Control Upgrades D. Astolfi et al. 10.3390/app8122639
- Tilted wind turbines in farm configuration for improved global efficiency F. Trigaux et al. 10.1088/1742-6596/1618/6/062035
- Floating platform effects on power generation in spar and semisubmersible wind turbines H. Johlas et al. 10.1002/we.2608
- U.S. East Coast Lidar Measurements Show Offshore Wind Turbines Will Encounter Very Low Atmospheric Turbulence N. Bodini et al. 10.1029/2019GL082636
- A review of applications of artificial intelligent algorithms in wind farms Y. Wang et al. 10.1007/s10462-019-09768-7
- Real-time optimization of wind farms using modifier adaptation and machine learning L. Andersson & L. Imsland 10.5194/wes-5-885-2020
- Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm M. van Beek et al. 10.3390/en14051293
- Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines J. Bossuyt et al. 10.1017/jfm.2021.237
- Experimental investigation of wind turbine wake and load dynamics during yaw maneuvers S. Macrí et al. 10.5194/wes-6-585-2021
- Wind Farm Modeling with Interpretable Physics-Informed Machine Learning M. Howland & J. Dabiri 10.3390/en12142716
- A simulation study demonstrating the importance of large-scale trailing vortices in wake steering P. Fleming et al. 10.5194/wes-3-243-2018
- Large-eddy simulation study of wind farm active power control with a coordinated load distribution M. Vali et al. 10.1088/1742-6596/1037/3/032018
- Exploring the complexities associated with full-scale wind plant wake mitigation control experiments J. Duncan Jr. et al. 10.5194/wes-5-469-2020
- Experimental investigation and analytical modelling of active yaw control for wind farm power optimization H. Zong & F. Porté-Agel 10.1016/j.renene.2021.02.059
- An Application of Nested Control Synthesis for Wind Farms L. Buccafusca et al. 10.1016/j.ifacol.2019.12.158
- Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models P. Brugger et al. 10.5194/wes-5-1253-2020
- Expert Elicitation on Wind Farm Control J. van Wingerden et al. 10.1088/1742-6596/1618/2/022025
- A Review of Recent Advancements in Offshore Wind Turbine Technology T. Asim et al. 10.3390/en15020579
- Closely spaced corotating helical vortices: General solutions A. Castillo-Castellanos et al. 10.1103/PhysRevFluids.6.114701
- Field experiment for open-loop yaw-based wake steering at a commercial onshore wind farm in Italy B. Doekemeijer et al. 10.5194/wes-6-159-2021
- Effects of axial induction control on wind farm energy production - A field test D. van der Hoek et al. 10.1016/j.renene.2019.03.117
- Wind turbine power modelling and optimization using artificial neural network with wind field experimental data H. Sun et al. 10.1016/j.apenergy.2020.115880
- A Study of the Impact of Pitch Misalignment on Wind Turbine Performance D. Astolfi 10.3390/machines7010008
- Validation of a lookup-table approach to modeling turbine fatigue loads in wind farms under active wake control H. Mendez Reyes et al. 10.5194/wes-4-549-2019
- Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance E. Simley et al. 10.5194/wes-6-1427-2021
- Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 P. Fleming et al. 10.5194/wes-4-273-2019
- Joint state-parameter estimation for a control-oriented LES wind farm model B. Doekemeijer et al. 10.1088/1742-6596/1037/3/032013
- Experimental characterisation of the wake behind paired vertical-axis wind turbines A. Vergaerde et al. 10.1016/j.jweia.2020.104353
- Dynamic wake tracking using a cost-effective LiDAR and Kalman filtering: Design, simulation and full-scale validation W. Lio et al. 10.1016/j.renene.2021.03.081
- Comparison of the Gaussian Wind Farm Model with Historical Data of Three Offshore Wind Farms B. Doekemeijer et al. 10.3390/en15061964
- A Study on the Effect of Closed-Loop Wind Farm Control on Power and Tower Load in Derating the TSO Command Condition H. Kim et al. 10.3390/en12102004
- Wind farm flow control oriented to electricity markets and grid integration: Initial perspective analysis I. Eguinoa et al. 10.1002/adc2.80
- Modulation of turbulence scales passing through the rotor of a wind turbine N. Tobin & L. Chamorro 10.1080/14685248.2018.1547387
- Wind farm yaw control set-point optimization under model parameter uncertainty M. Howland 10.1063/5.0051071
- Power increases using wind direction spatial filtering for wind farm control: Evaluation using FLORIS, modified for dynamic settings M. Sinner et al. 10.1063/5.0039899
- Dynamic Strategies for Yaw and Induction Control of Wind Farms Based on Large-Eddy Simulation and Optimization W. Munters & J. Meyers 10.3390/en11010177
- Wind farm power optimization through wake steering M. Howland et al. 10.1073/pnas.1903680116
- Wind Farm Power Optimization and Fault Ride-Through under Inter-Turn Short-Circuit Fault K. Ma et al. 10.3390/en14113072
- Study of wind farm control potential based on SCADA data J. Schreiber et al. 10.1088/1742-6596/1037/3/032012
- Robust active wake control in consideration of wind direction variability and uncertainty A. Rott et al. 10.5194/wes-3-869-2018
- Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
- Coplanar lidar measurement of a single wind energy converter wake in distinct atmospheric stability regimes at the Perdigão 2017 experiment N. Wildmann et al. 10.1088/1742-6596/1037/5/052006
- Toward flow control: An assessment of the curled wake model in the FLORIS framework C. Bay et al. 10.1088/1742-6596/1618/2/022033
- Observability of the ambient conditions in model‐based estimation for wind farm control: A focus on static models B. Doekemeijer & J. van Wingerden 10.1002/we.2495
- Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes M. Bromm et al. 10.1002/we.2210
- Field Validation of Wake Steering Control with Wind Direction Variability E. Simley et al. 10.1088/1742-6596/1452/1/012012
- Optimal closed-loop wake steering – Part 1: Conventionally neutral atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-5-1315-2020
- Analysis of Wind-Turbine Main Bearing Loads Due to Constant Yaw Misalignments over a 20 Years Timespan M. Cardaun et al. 10.3390/en12091768
- Offshore Wind Turbines Will Encounter Very Low Atmospheric Turbulence N. Bodini et al. 10.1088/1742-6596/1452/1/012023
- Wind Farm Loads under Wake Redirection Control S. Kanev et al. 10.3390/en13164088
- On wind farm wake mixing strategies using dynamic individual pitch control J. Frederik et al. 10.1088/1742-6596/1618/2/022050
- Wind direction estimation using SCADA data with consensus-based optimization J. Annoni et al. 10.5194/wes-4-355-2019
- LSTM-NN Yaw Control of Wind Turbines Based on Upstream Wind Information W. Chen et al. 10.3390/en13061482
- Experimental results of wake steering using fixed angles P. Fleming et al. 10.5194/wes-6-1521-2021
- Predicting the benefit of wake steering on the annual energy production of a wind farm using large eddy simulations and Gaussian process regression D. Hoek et al. 10.1088/1742-6596/1618/2/022024
- Investigation into the shape of a wake of a yawed full-scale turbine P. Fleming et al. 10.1088/1742-6596/1037/3/032010
- Wake steering optimization under uncertainty J. Quick et al. 10.5194/wes-5-413-2020
- Wind farm control ‐ Part I: A review on control system concepts and structures L. Andersson et al. 10.1049/rpg2.12160
- Field testing of a local wind inflow estimator and wake detector J. Schreiber et al. 10.5194/wes-5-867-2020
- The Yawing Behavior of Horizontal-Axis Wind Turbines: A Numerical and Experimental Analysis F. Castellani et al. 10.3390/machines7010015
- Design and analysis of a wake model for spatially heterogeneous flow A. Farrell et al. 10.5194/wes-6-737-2021
- Influence of Wake Model Superposition and Secondary Steering on Model-Based Wake Steering Control with SCADA Data Assimilation M. Howland & J. Dabiri 10.3390/en14010052
- Lidar-based closed-loop wake redirection in high-fidelity simulation S. Raach et al. 10.1088/1742-6596/1037/3/032016
- Lidar assisted wake redirection in wind farms: A data driven approach H. Dhiman et al. 10.1016/j.renene.2020.01.027
- Data-Driven Methods for the Analysis of Wind Turbine Yaw Control Optimization D. Astolfi et al. 10.1115/1.4047413
- Full-Scale Field Test of Wake Steering P. Fleming et al. 10.1088/1742-6596/854/1/012013
102 citations as recorded by crossref.
- Local turbulence parameterization improves the Jensen wake model and its implementation for power optimization of an operating wind farm T. Duc et al. 10.5194/wes-4-287-2019
- Blade planform design optimization to enhance turbine wake control J. Allen et al. 10.1002/we.2699
- Evaluation of the potential for wake steering for U.S. land-based wind power plants D. Bensason et al. 10.1063/5.0039325
- Large eddy simulations of curled wakes from tilted wind turbines H. Johlas et al. 10.1016/j.renene.2022.02.018
- Real-time relocation of floating offshore wind turbine platforms for wind farm efficiency maximization: An assessment of feasibility and steady-state potential A. Kheirabadi & R. Nagamune 10.1016/j.oceaneng.2020.107445
- Adjoint-based model predictive control for optimal energy extraction in waked wind farms M. Vali et al. 10.1016/j.conengprac.2018.11.005
- 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
- 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
- Wind Turbine Power Curve Upgrades: Part II D. Astolfi & F. Castellani 10.3390/en12081503
- Real-time identification of clusters of turbines F. Bernardoni et al. 10.1088/1742-6596/1618/2/022032
- Wake Management in Wind Farms: An Adaptive Control Approach H. Dhiman et al. 10.3390/en12071247
- Wake steering of multirotor wind turbines G. Speakman et al. 10.1002/we.2633
- Wind farm power maximization through wake steering with a new multiple wake model for prediction of turbulence intensity G. Qian & T. Ishihara 10.1016/j.energy.2020.119680
- An active power control approach for wake-induced load alleviation in a fully developed wind farm boundary layer M. Vali et al. 10.5194/wes-4-139-2019
- A review of full-scale wind-field measurements of the wind-turbine wake effect and a measurement of the wake-interaction effect H. Sun et al. 10.1016/j.rser.2020.110042
- Wind plants can impact long-term local atmospheric conditions N. Bodini et al. 10.1038/s41598-021-02089-2
- Multiobjective model predictive control design for wind turbines and farms L. Buccafusca & C. Beck 10.1063/5.0039707
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control B. Doekemeijer et al. 10.5194/wes-3-749-2018
- Joint optimization of wind farm layout considering optimal control K. Chen et al. 10.1016/j.renene.2021.10.032
- Wind turbine drivetrains: state-of-the-art technologies and future development trends A. Nejad et al. 10.5194/wes-7-387-2022
- A low-fidelity dynamic wind farm model for simulating time-varying wind conditions and floating platform motion A. Kheirabadi & R. Nagamune 10.1016/j.oceaneng.2021.109313
- Design and analysis of a wake steering controller with wind direction variability E. Simley et al. 10.5194/wes-5-451-2020
- A point vortex transportation model for yawed wind turbine wakes H. Zong & F. Porté-Agel 10.1017/jfm.2020.123
- Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data L. Andersson et al. 10.1088/1742-6596/1618/2/022043
- The helix approach: Using dynamic individual pitch control to enhance wake mixing in wind farms J. Frederik et al. 10.1002/we.2513
- Wind tunnel testing of wake steering with dynamic wind direction changes F. Campagnolo et al. 10.5194/wes-5-1273-2020
- Mechanical behaviour of wind turbines operating above design conditions F. Castellani et al. 10.1016/j.prostr.2020.02.045
- Optimising yaw control at wind farm level E. Bossanyi 10.1088/1742-6596/1222/1/012023
- Analysis of control-oriented wake modeling tools using lidar field results J. Annoni et al. 10.5194/wes-3-819-2018
- Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms T. Ahmad et al. 10.3390/en12071266
- Improving wind farm flow models by learning from operational data J. Schreiber et al. 10.5194/wes-5-647-2020
- On the Robustness of Active Wake Control to Wind Turbine Downtime S. Kanev 10.3390/en12163152
- Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. 10.5194/wes-3-257-2018
- Wind Turbine Yaw Control Optimization and Its Impact on Performance D. Astolfi et al. 10.3390/machines7020041
- A new method to characterize the curled wake shape under yaw misalignment B. Sengers et al. 10.1088/1742-6596/1618/6/062050
- Dynamic wake steering and its impact on wind farm power production and yaw actuator duty S. Kanev 10.1016/j.renene.2019.06.122
- Numerical and Experimental Methods for the Assessment of Wind Turbine Control Upgrades D. Astolfi et al. 10.3390/app8122639
- Tilted wind turbines in farm configuration for improved global efficiency F. Trigaux et al. 10.1088/1742-6596/1618/6/062035
- Floating platform effects on power generation in spar and semisubmersible wind turbines H. Johlas et al. 10.1002/we.2608
- U.S. East Coast Lidar Measurements Show Offshore Wind Turbines Will Encounter Very Low Atmospheric Turbulence N. Bodini et al. 10.1029/2019GL082636
- A review of applications of artificial intelligent algorithms in wind farms Y. Wang et al. 10.1007/s10462-019-09768-7
- Real-time optimization of wind farms using modifier adaptation and machine learning L. Andersson & L. Imsland 10.5194/wes-5-885-2020
- Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm M. van Beek et al. 10.3390/en14051293
- Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines J. Bossuyt et al. 10.1017/jfm.2021.237
- Experimental investigation of wind turbine wake and load dynamics during yaw maneuvers S. Macrí et al. 10.5194/wes-6-585-2021
- Wind Farm Modeling with Interpretable Physics-Informed Machine Learning M. Howland & J. Dabiri 10.3390/en12142716
- A simulation study demonstrating the importance of large-scale trailing vortices in wake steering P. Fleming et al. 10.5194/wes-3-243-2018
- Large-eddy simulation study of wind farm active power control with a coordinated load distribution M. Vali et al. 10.1088/1742-6596/1037/3/032018
- Exploring the complexities associated with full-scale wind plant wake mitigation control experiments J. Duncan Jr. et al. 10.5194/wes-5-469-2020
- Experimental investigation and analytical modelling of active yaw control for wind farm power optimization H. Zong & F. Porté-Agel 10.1016/j.renene.2021.02.059
- An Application of Nested Control Synthesis for Wind Farms L. Buccafusca et al. 10.1016/j.ifacol.2019.12.158
- Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models P. Brugger et al. 10.5194/wes-5-1253-2020
- Expert Elicitation on Wind Farm Control J. van Wingerden et al. 10.1088/1742-6596/1618/2/022025
- A Review of Recent Advancements in Offshore Wind Turbine Technology T. Asim et al. 10.3390/en15020579
- Closely spaced corotating helical vortices: General solutions A. Castillo-Castellanos et al. 10.1103/PhysRevFluids.6.114701
- Field experiment for open-loop yaw-based wake steering at a commercial onshore wind farm in Italy B. Doekemeijer et al. 10.5194/wes-6-159-2021
- Effects of axial induction control on wind farm energy production - A field test D. van der Hoek et al. 10.1016/j.renene.2019.03.117
- Wind turbine power modelling and optimization using artificial neural network with wind field experimental data H. Sun et al. 10.1016/j.apenergy.2020.115880
- A Study of the Impact of Pitch Misalignment on Wind Turbine Performance D. Astolfi 10.3390/machines7010008
- Validation of a lookup-table approach to modeling turbine fatigue loads in wind farms under active wake control H. Mendez Reyes et al. 10.5194/wes-4-549-2019
- Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance E. Simley et al. 10.5194/wes-6-1427-2021
- Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 P. Fleming et al. 10.5194/wes-4-273-2019
- Joint state-parameter estimation for a control-oriented LES wind farm model B. Doekemeijer et al. 10.1088/1742-6596/1037/3/032013
- Experimental characterisation of the wake behind paired vertical-axis wind turbines A. Vergaerde et al. 10.1016/j.jweia.2020.104353
- Dynamic wake tracking using a cost-effective LiDAR and Kalman filtering: Design, simulation and full-scale validation W. Lio et al. 10.1016/j.renene.2021.03.081
- Comparison of the Gaussian Wind Farm Model with Historical Data of Three Offshore Wind Farms B. Doekemeijer et al. 10.3390/en15061964
- A Study on the Effect of Closed-Loop Wind Farm Control on Power and Tower Load in Derating the TSO Command Condition H. Kim et al. 10.3390/en12102004
- Wind farm flow control oriented to electricity markets and grid integration: Initial perspective analysis I. Eguinoa et al. 10.1002/adc2.80
- Modulation of turbulence scales passing through the rotor of a wind turbine N. Tobin & L. Chamorro 10.1080/14685248.2018.1547387
- Wind farm yaw control set-point optimization under model parameter uncertainty M. Howland 10.1063/5.0051071
- Power increases using wind direction spatial filtering for wind farm control: Evaluation using FLORIS, modified for dynamic settings M. Sinner et al. 10.1063/5.0039899
- Dynamic Strategies for Yaw and Induction Control of Wind Farms Based on Large-Eddy Simulation and Optimization W. Munters & J. Meyers 10.3390/en11010177
- Wind farm power optimization through wake steering M. Howland et al. 10.1073/pnas.1903680116
- Wind Farm Power Optimization and Fault Ride-Through under Inter-Turn Short-Circuit Fault K. Ma et al. 10.3390/en14113072
- Study of wind farm control potential based on SCADA data J. Schreiber et al. 10.1088/1742-6596/1037/3/032012
- Robust active wake control in consideration of wind direction variability and uncertainty A. Rott et al. 10.5194/wes-3-869-2018
- Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
- Coplanar lidar measurement of a single wind energy converter wake in distinct atmospheric stability regimes at the Perdigão 2017 experiment N. Wildmann et al. 10.1088/1742-6596/1037/5/052006
- Toward flow control: An assessment of the curled wake model in the FLORIS framework C. Bay et al. 10.1088/1742-6596/1618/2/022033
- Observability of the ambient conditions in model‐based estimation for wind farm control: A focus on static models B. Doekemeijer & J. van Wingerden 10.1002/we.2495
- Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes M. Bromm et al. 10.1002/we.2210
- Field Validation of Wake Steering Control with Wind Direction Variability E. Simley et al. 10.1088/1742-6596/1452/1/012012
- Optimal closed-loop wake steering – Part 1: Conventionally neutral atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-5-1315-2020
- Analysis of Wind-Turbine Main Bearing Loads Due to Constant Yaw Misalignments over a 20 Years Timespan M. Cardaun et al. 10.3390/en12091768
- Offshore Wind Turbines Will Encounter Very Low Atmospheric Turbulence N. Bodini et al. 10.1088/1742-6596/1452/1/012023
- Wind Farm Loads under Wake Redirection Control S. Kanev et al. 10.3390/en13164088
- On wind farm wake mixing strategies using dynamic individual pitch control J. Frederik et al. 10.1088/1742-6596/1618/2/022050
- Wind direction estimation using SCADA data with consensus-based optimization J. Annoni et al. 10.5194/wes-4-355-2019
- LSTM-NN Yaw Control of Wind Turbines Based on Upstream Wind Information W. Chen et al. 10.3390/en13061482
- Experimental results of wake steering using fixed angles P. Fleming et al. 10.5194/wes-6-1521-2021
- Predicting the benefit of wake steering on the annual energy production of a wind farm using large eddy simulations and Gaussian process regression D. Hoek et al. 10.1088/1742-6596/1618/2/022024
- Investigation into the shape of a wake of a yawed full-scale turbine P. Fleming et al. 10.1088/1742-6596/1037/3/032010
- Wake steering optimization under uncertainty J. Quick et al. 10.5194/wes-5-413-2020
- Wind farm control ‐ Part I: A review on control system concepts and structures L. Andersson et al. 10.1049/rpg2.12160
- Field testing of a local wind inflow estimator and wake detector J. Schreiber et al. 10.5194/wes-5-867-2020
- The Yawing Behavior of Horizontal-Axis Wind Turbines: A Numerical and Experimental Analysis F. Castellani et al. 10.3390/machines7010015
- Design and analysis of a wake model for spatially heterogeneous flow A. Farrell et al. 10.5194/wes-6-737-2021
- Influence of Wake Model Superposition and Secondary Steering on Model-Based Wake Steering Control with SCADA Data Assimilation M. Howland & J. Dabiri 10.3390/en14010052
- Lidar-based closed-loop wake redirection in high-fidelity simulation S. Raach et al. 10.1088/1742-6596/1037/3/032016
- Lidar assisted wake redirection in wind farms: A data driven approach H. Dhiman et al. 10.1016/j.renene.2020.01.027
- Data-Driven Methods for the Analysis of Wind Turbine Yaw Control Optimization D. Astolfi et al. 10.1115/1.4047413
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Latest update: 01 Jul 2022
Short summary
In this paper, a field test of wake-steering control is presented. In the campaign, an array of turbines within an operating commercial offshore wind farm have the normal yaw controller modified to implement wake steering according to a yaw control strategy. Results indicate that, within the certainty afforded by the data, the wake-steering controller was successful in increasing power capture.
In this paper, a field test of wake-steering control is presented. In the campaign, an array of...