Articles | Volume 5, issue 1
https://doi.org/10.5194/wes-5-427-2020
© Author(s) 2020. 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-5-427-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Mar 2020
Research article |
| 31 Mar 2020
| 31 Mar 2020
Analytical model for the power–yaw sensitivity of wind turbines operating in full wake
Department of Wind Energy, Technical University of Denmark (DTU), Frederiksborgvej 399, 4000 Roskilde, Denmark
Albert M. Urbán
Department of Wind Energy, Technical University of Denmark (DTU), Frederiksborgvej 399, 4000 Roskilde, Denmark
Søren Juhl Andersen
Department of Wind Energy, Technical University of Denmark (DTU), Anker Engelunds Vej 1, 2800 Lyngby, Denmark
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Cited
24 citations as recorded by crossref.
- 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
- The revised FLORIDyn model: implementation of heterogeneous flow and the Gaussian wake M. Becker et al. 10.5194/wes-7-2163-2022
- Providing power reserve for secondary grid frequency regulation of offshore wind farms through yaw control Y. Oudich et al. 10.1002/we.2845
- Wind plant power maximization via extremum seeking yaw control: A wind tunnel experiment D. Kumar et al. 10.1002/we.2799
- Experimental Study on the Influence of Incoming Flow on Wind Turbine Power and Wake Based on Wavelet Analysis H. Niu et al. 10.3390/en16166003
- Analytical model for the power production of a yaw-misaligned wind turbine J. Lu et al. 10.1063/5.0174267
- Virtual fatigue diagnostics of wake-affected wind turbine via Gaussian Process Regression L. Avendaño-Valencia et al. 10.1016/j.renene.2021.02.003
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Modelling the induction, thrust and power of a yaw-misaligned actuator disk K. Heck et al. 10.1017/jfm.2023.129
- A data-driven reduced-order model for rotor optimization N. Peters et al. 10.5194/wes-8-1201-2023
- Layout and yaw optimisation of an offshore wind farm through analytical modelling D. Sukhman et al. 10.1088/1742-6596/2626/1/012058
- 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
- Aerodynamic characterization of two tandem wind turbines under yaw misalignment control using actuator line model Y. Tu et al. 10.1016/j.oceaneng.2023.114992
- Optimal closed-loop wake steering – Part 1: Conventionally neutral atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-5-1315-2020
- Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm M. van Beek et al. 10.3390/en14051293
- Large-eddy simulation on the similarity between wakes of wind turbines with different yaw angles Z. Li & X. Yang 10.1017/jfm.2021.495
- Data-driven yaw misalignment correction for utility-scale wind turbines L. Gao & J. Hong 10.1063/5.0056671
- FarmConners wind farm flow control benchmark – Part 1: Blind test results T. Göçmen et al. 10.5194/wes-7-1791-2022
- Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions P. Hulsman et al. 10.1088/1742-6596/2265/3/032074
- Dynamic wind farm flow control using free-vortex wake models M. van den Broek et al. 10.5194/wes-9-721-2024
- A Data-Mining Compensation Approach for Yaw Misalignment on Wind Turbine Y. Bao & Q. Yang 10.1109/TII.2021.3065702
- Optimal closed-loop wake steering – Part 2: Diurnal cycle atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-7-345-2022
- Wind turbine wake control strategies: A review and concept proposal R. Nash et al. 10.1016/j.enconman.2021.114581
- 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
23 citations as recorded by crossref.
- 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
- The revised FLORIDyn model: implementation of heterogeneous flow and the Gaussian wake M. Becker et al. 10.5194/wes-7-2163-2022
- Providing power reserve for secondary grid frequency regulation of offshore wind farms through yaw control Y. Oudich et al. 10.1002/we.2845
- Wind plant power maximization via extremum seeking yaw control: A wind tunnel experiment D. Kumar et al. 10.1002/we.2799
- Experimental Study on the Influence of Incoming Flow on Wind Turbine Power and Wake Based on Wavelet Analysis H. Niu et al. 10.3390/en16166003
- Analytical model for the power production of a yaw-misaligned wind turbine J. Lu et al. 10.1063/5.0174267
- Virtual fatigue diagnostics of wake-affected wind turbine via Gaussian Process Regression L. Avendaño-Valencia et al. 10.1016/j.renene.2021.02.003
- Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
- Modelling the induction, thrust and power of a yaw-misaligned actuator disk K. Heck et al. 10.1017/jfm.2023.129
- A data-driven reduced-order model for rotor optimization N. Peters et al. 10.5194/wes-8-1201-2023
- Layout and yaw optimisation of an offshore wind farm through analytical modelling D. Sukhman et al. 10.1088/1742-6596/2626/1/012058
- 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
- Aerodynamic characterization of two tandem wind turbines under yaw misalignment control using actuator line model Y. Tu et al. 10.1016/j.oceaneng.2023.114992
- Optimal closed-loop wake steering – Part 1: Conventionally neutral atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-5-1315-2020
- Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm M. van Beek et al. 10.3390/en14051293
- Large-eddy simulation on the similarity between wakes of wind turbines with different yaw angles Z. Li & X. Yang 10.1017/jfm.2021.495
- Data-driven yaw misalignment correction for utility-scale wind turbines L. Gao & J. Hong 10.1063/5.0056671
- FarmConners wind farm flow control benchmark – Part 1: Blind test results T. Göçmen et al. 10.5194/wes-7-1791-2022
- Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions P. Hulsman et al. 10.1088/1742-6596/2265/3/032074
- Dynamic wind farm flow control using free-vortex wake models M. van den Broek et al. 10.5194/wes-9-721-2024
- A Data-Mining Compensation Approach for Yaw Misalignment on Wind Turbine Y. Bao & Q. Yang 10.1109/TII.2021.3065702
- Optimal closed-loop wake steering – Part 2: Diurnal cycle atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-7-345-2022
- Wind turbine wake control strategies: A review and concept proposal R. Nash et al. 10.1016/j.enconman.2021.114581
Latest update: 18 Apr 2024
Short summary
In wind farms, the interaction between neighboring turbines can cause notable power losses. The focus of the paper is on how the combination of turbine yaw misalignment and wake effects influences the power loss in a wind turbine. The results of the paper show a more notable power loss due to turbine misalignment when turbines are closely spaced. The presented conclusions enable better predictions of a turbine's power production, which can assist the wind farm design process.
In wind farms, the interaction between neighboring turbines can cause notable power losses. The...
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