Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects

van den Broek, Maarten J.; De Tavernier, Delphine; Hulsman, Paul; van der Hoek, Daan; Sanderse, Benjamin; van Wingerden, Jan-Willem

doi:https://doi.org/10.5194/wes-8-1909-2023

Articles | Volume 8, issue 12

https://doi.org/10.5194/wes-8-1909-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-8-1909-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 8, issue 12

Research article

|

20 Dec 2023

Research article |

| 20 Dec 2023

Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects

Maarten J. van den Broek, Delphine De Tavernier, Paul Hulsman, Daan van der Hoek, Benjamin Sanderse, and Jan-Willem van Wingerden

Data sets

Data underlying the publication: Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects Daan van der Hoek et al. https://doi.org/10.4121/70ae7f4c-f87f-45f1-8360-f4958a60249f.v1

Data Supplement for ’Curled Wake Development of a Yawed Wind Turbine at Turbulent and Sheared Inflow’ – Wind Energy Science Journal Paul Hulsman et al. https://doi.org/10.5281/zenodo.5734877

Simulation data and code underlying the publication: Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects Maarten J. van den Broek https://doi.org/10.4121/e32a9868-c5ea-43d3-8969-b1908662b2b2

Model code and software

Simulation data and code underlying the publication: Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects Maarten J. van den Broek https://doi.org/10.4121/e32a9868-c5ea-43d3-8969-b1908662b2b2

Short summary

As wind turbines produce power, they leave behind wakes of slow-moving air. We analyse three different models to predict the effects of these wakes on downstream wind turbines. The models are validated with experimental data from wind tunnel studies for steady and time-varying conditions. We demonstrate that the models are suitable for optimally controlling wind turbines to improve power production in large wind farms.