Preprints
https://doi.org/10.5194/wes-2023-57
https://doi.org/10.5194/wes-2023-57
01 Jun 2023
 | 01 Jun 2023
Status: a revised version of this preprint is currently under review for the journal WES.

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

Abstract. Near-wake effects of wind turbine models using the free-vortex wake have been extensively studied, but there is a lack of validation for such predictions in the mid to far wake. This paper presents a novel validation study using three free-vortex wake models of increasing complexity: an actuator disc, an actuator disc with rotation, and an actuator-line model. We emphasise the application for dynamic wind farm flow control optimisation with a focus on wake redirection using yaw misalignment. For that purpose, surrogate wake models should provide sufficiently accurate power predictions at low computational expense. Three sets of wind tunnel data are used for validation: flow measurements under steady yaw misalignment, time-resolved flow measurements for a step change in yaw, and turbine output measurements with yaw control and simulated wind direction variation. Results indicate that the actuator-disc model provides the best balance of computational cost and accuracy in power predictions for the mid to far wake, which is not significantly improved upon by the addition of rotation. In the near wake, the added complexity of the actuator-line model may provide value as it models blade loading and individual tip vortices. Altogether, this study conclusively demonstrates that the actuator-disc model is suitable for yaw control optimisation and provides important validation for further studies into optimisation of wake steering under time-varying conditions.

Maarten J. van den Broek et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-57', Anonymous Referee #1, 10 Jul 2023
  • RC2: 'Comment on wes-2023-57', Anonymous Referee #2, 19 Jul 2023
  • AC1: 'Comment on wes-2023-57', Maarten van den Broek, 22 Aug 2023

Maarten J. van den Broek et al.

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, Maarten J. van den Broek, Jan-WIllem van Wingerden 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, Martin Wosbik, Vlaho Petrovic, Michaul Hölling, Martin Kühn https://doi.org/10.5281/zenodo.5734877

Model code and software

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

Maarten J. van den Broek et al.

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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.