The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/70ae7f4c-f87f-45f1-8360-f4958a60249f

van der Hoek, Daan; van den Broek, Maarten; van Wingerden, Jan-Willem (2023): Data underlying the publication: Free-vortex models for wind turbine wakes under yaw misalignment - a validation study on far wake effects. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/70ae7f4c-f87f-45f1-8360-f4958a60249f.v1

Dataset

• Renewable Energy
• Energy

PIV, Wake model validation, Wake steering, Wind farm control, Wind farm power maximization, Wind tunnel experiment

CC BY-NC-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Daan van der Hoek, Maarten van den Broek , Jan-Willem van Wingerden

This data set contains time-resolved measurements of a scaled model wind turbine wake, acquired using tomographic PIV, undergoing a step change in yaw angle. The measurements consist of 4 volumes, centered around 1D, 2D, 3D and 4D downstream of the turbine. Here, distance is expressed by the size of the rotor diameter D. The measurements include the three-dimensional locations and velocity components.

• 2023-03-27 first online, published, posted

4TU.ResearchData

Zip files containing the wake measurements in .txt format. The turbine measurements are given as .mat files.

• Robust closed-loop wake steering for large densely space wind farms (grant code 17512) Dutch Research Council (NWO)

TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Delft Center for Systems and Control (DCSC)