Research article
05 Mar 2019
Research article
| 05 Mar 2019
The aerodynamics of the curled wake: a simplified model in view of flow control
Luis A. Martínez-Tossas et al.
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Cited
49 citations as recorded by crossref.
- The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows L. Martínez-Tossas et al. 10.5194/wes-6-555-2021
- Design and analysis of a wake steering controller with wind direction variability E. Simley et al. 10.5194/wes-5-451-2020
- 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
- Parametric dependencies of the yawed wind‐turbine wake development E. Kleusberg et al. 10.1002/we.2395
- 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
- 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
- Modelling Yawed Wind Turbine Wakes: Extension of a Gaussian-Based Wake Model D. Wei et al. 10.3390/en14154494
- Power Maximization and Fatigue-Load Mitigation in a Wind-turbine Array by Active Yaw Control: an LES Study M. Lin & F. Porté-Agel 10.1088/1742-6596/1618/4/042036
- Pseudo-2D RANS: A LiDAR-driven mid-fidelity model for simulations of wind farm flows S. Letizia & G. Iungo 10.1063/5.0076739
- Wind Farm Modeling with Interpretable Physics-Informed Machine Learning M. Howland & J. Dabiri 10.3390/en12142716
- 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
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Comparison of the Gaussian Wind Farm Model with Historical Data of Three Offshore Wind Farms B. Doekemeijer et al. 10.3390/en15061964
- A new method for simulating multiple wind turbine wakes under yawed conditions D. Wei et al. 10.1016/j.oceaneng.2021.109832
- Large-Eddy Simulation of Yawed Wind-Turbine Wakes: Comparisons with Wind Tunnel Measurements and Analytical Wake Models M. Lin & F. Porté-Agel 10.3390/en12234574
- Generation and decay of counter-rotating vortices downstream of yawed wind turbines in the atmospheric boundary layer C. Shapiro et al. 10.1017/jfm.2020.717
- 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
- 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 partial wake merging description and quantification R. Scott et al. 10.1002/we.2504
- Mechanisms of dynamic near-wake modulation of a utility-scale wind turbine A. Abraham et al. 10.1017/jfm.2021.737
- Wake steering of multirotor wind turbines G. Speakman et al. 10.1002/we.2633
- A Wake Modeling Paradigm for Wind Farm Design and Control C. Shapiro et al. 10.3390/en12152956
- 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
- Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load J. De Kooning et al. 10.3390/pr9122224
- A new method to characterize the curled wake shape under yaw misalignment B. Sengers et al. 10.1088/1742-6596/1618/6/062050
- The Effect of Using Different Wake Models on Wind Farm Layout Optimization: A Comparative Study P. Yang & H. Najafi 10.1115/1.4052775
- Improving wind farm flow models by learning from operational data J. Schreiber et al. 10.5194/wes-5-647-2020
- Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines J. Bossuyt et al. 10.1017/jfm.2021.237
- Large eddy simulations of curled wakes from tilted wind turbines H. Johlas et al. 10.1016/j.renene.2022.02.018
- Wind Farm Simulation and Layout Optimization in Complex Terrain J. Allen et al. 10.1088/1742-6596/1452/1/012066
- Wind farm blockage effects: comparison of different engineering models E. Branlard et al. 10.1088/1742-6596/1618/6/062036
- 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
- Comparison of modular analytical wake models to the Lillgrund wind plant N. Hamilton et al. 10.1063/5.0018695
- Incoming flow measurements of a utility-scale wind turbine using super-large-scale particle image velocimetry C. Li et al. 10.1016/j.jweia.2019.104074
- A point vortex transportation model for yawed wind turbine wakes H. Zong & F. Porté-Agel 10.1017/jfm.2020.123
- Experimental results of wake steering using fixed angles P. Fleming et al. 10.5194/wes-6-1521-2021
- Optimizing wind farm control through wake steering using surrogate models based on high-fidelity simulations P. Hulsman et al. 10.5194/wes-5-309-2020
- The curled wake model: equivalence of shed vorticity models L. Martínez-Tossas & E. Branlard 10.1088/1742-6596/1452/1/012069
- A vortex sheet based analytical model of the curled wake behind yawed wind turbines M. Bastankhah et al. 10.1017/jfm.2021.1010
- Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2 P. Fleming et al. 10.5194/wes-5-945-2020
- Design and analysis of a wake model for spatially heterogeneous flow A. Farrell et al. 10.5194/wes-6-737-2021
- Development of a curled wake of a yawed wind turbine under turbulent and sheared inflow P. Hulsman et al. 10.5194/wes-7-237-2022
- Control-oriented model for secondary effects of wake steering J. King et al. 10.5194/wes-6-701-2021
- Wind farm power optimization through wake steering M. Howland et al. 10.1073/pnas.1903680116
- Highlighting the impact of yaw control by parsing atmospheric conditions based on total variation N. Hamilton 10.1088/1742-6596/1452/1/012006
- An adaptation of the super-Gaussian wake model for yawed wind turbines F. Blondel et al. 10.1088/1742-6596/1618/6/062031
- Evaluation of the potential for wake steering for U.S. land-based wind power plants D. Bensason et al. 10.1063/5.0039325
- 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
- Engineering models for turbine wake velocity deficit and wake deflection. A new proposed approach for onshore and offshore applications R. Ruisi & E. Bossanyi 10.1088/1742-6596/1222/1/012004
48 citations as recorded by crossref.
- The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows L. Martínez-Tossas et al. 10.5194/wes-6-555-2021
- Design and analysis of a wake steering controller with wind direction variability E. Simley et al. 10.5194/wes-5-451-2020
- 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
- Parametric dependencies of the yawed wind‐turbine wake development E. Kleusberg et al. 10.1002/we.2395
- 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
- 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
- Modelling Yawed Wind Turbine Wakes: Extension of a Gaussian-Based Wake Model D. Wei et al. 10.3390/en14154494
- Power Maximization and Fatigue-Load Mitigation in a Wind-turbine Array by Active Yaw Control: an LES Study M. Lin & F. Porté-Agel 10.1088/1742-6596/1618/4/042036
- Pseudo-2D RANS: A LiDAR-driven mid-fidelity model for simulations of wind farm flows S. Letizia & G. Iungo 10.1063/5.0076739
- Wind Farm Modeling with Interpretable Physics-Informed Machine Learning M. Howland & J. Dabiri 10.3390/en12142716
- 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
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Comparison of the Gaussian Wind Farm Model with Historical Data of Three Offshore Wind Farms B. Doekemeijer et al. 10.3390/en15061964
- A new method for simulating multiple wind turbine wakes under yawed conditions D. Wei et al. 10.1016/j.oceaneng.2021.109832
- Large-Eddy Simulation of Yawed Wind-Turbine Wakes: Comparisons with Wind Tunnel Measurements and Analytical Wake Models M. Lin & F. Porté-Agel 10.3390/en12234574
- Generation and decay of counter-rotating vortices downstream of yawed wind turbines in the atmospheric boundary layer C. Shapiro et al. 10.1017/jfm.2020.717
- 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
- 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 partial wake merging description and quantification R. Scott et al. 10.1002/we.2504
- Mechanisms of dynamic near-wake modulation of a utility-scale wind turbine A. Abraham et al. 10.1017/jfm.2021.737
- Wake steering of multirotor wind turbines G. Speakman et al. 10.1002/we.2633
- A Wake Modeling Paradigm for Wind Farm Design and Control C. Shapiro et al. 10.3390/en12152956
- 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
- Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load J. De Kooning et al. 10.3390/pr9122224
- A new method to characterize the curled wake shape under yaw misalignment B. Sengers et al. 10.1088/1742-6596/1618/6/062050
- The Effect of Using Different Wake Models on Wind Farm Layout Optimization: A Comparative Study P. Yang & H. Najafi 10.1115/1.4052775
- Improving wind farm flow models by learning from operational data J. Schreiber et al. 10.5194/wes-5-647-2020
- Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines J. Bossuyt et al. 10.1017/jfm.2021.237
- Large eddy simulations of curled wakes from tilted wind turbines H. Johlas et al. 10.1016/j.renene.2022.02.018
- Wind Farm Simulation and Layout Optimization in Complex Terrain J. Allen et al. 10.1088/1742-6596/1452/1/012066
- Wind farm blockage effects: comparison of different engineering models E. Branlard et al. 10.1088/1742-6596/1618/6/062036
- 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
- Comparison of modular analytical wake models to the Lillgrund wind plant N. Hamilton et al. 10.1063/5.0018695
- Incoming flow measurements of a utility-scale wind turbine using super-large-scale particle image velocimetry C. Li et al. 10.1016/j.jweia.2019.104074
- A point vortex transportation model for yawed wind turbine wakes H. Zong & F. Porté-Agel 10.1017/jfm.2020.123
- Experimental results of wake steering using fixed angles P. Fleming et al. 10.5194/wes-6-1521-2021
- Optimizing wind farm control through wake steering using surrogate models based on high-fidelity simulations P. Hulsman et al. 10.5194/wes-5-309-2020
- The curled wake model: equivalence of shed vorticity models L. Martínez-Tossas & E. Branlard 10.1088/1742-6596/1452/1/012069
- A vortex sheet based analytical model of the curled wake behind yawed wind turbines M. Bastankhah et al. 10.1017/jfm.2021.1010
- Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2 P. Fleming et al. 10.5194/wes-5-945-2020
- Design and analysis of a wake model for spatially heterogeneous flow A. Farrell et al. 10.5194/wes-6-737-2021
- Development of a curled wake of a yawed wind turbine under turbulent and sheared inflow P. Hulsman et al. 10.5194/wes-7-237-2022
- Control-oriented model for secondary effects of wake steering J. King et al. 10.5194/wes-6-701-2021
- Wind farm power optimization through wake steering M. Howland et al. 10.1073/pnas.1903680116
- Highlighting the impact of yaw control by parsing atmospheric conditions based on total variation N. Hamilton 10.1088/1742-6596/1452/1/012006
- An adaptation of the super-Gaussian wake model for yawed wind turbines F. Blondel et al. 10.1088/1742-6596/1618/6/062031
- Evaluation of the potential for wake steering for U.S. land-based wind power plants D. Bensason et al. 10.1063/5.0039325
- 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
Latest update: 25 Jun 2022
Short summary
A new control-oriented model is developed to compute the wake of a wind turbine under yaw. The model uses a simplified version of the Navier–Stokes equation with assumptions. Good agreement is found between the model-proposed and large eddy simulations of a wind turbine in yaw.
A new control-oriented model is developed to compute the wake of a wind turbine under yaw. The...