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/e32a9868-c5ea-43d3-8969-b1908662b2b2

van den Broek, Maarten (2023): Simulation data and code 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/e32a9868-c5ea-43d3-8969-b1908662b2b2.v1

Dataset

• Renewable Energy
• Energy

free-vortex wake, wake steering, wind farm flow control, wind turbine

CC BY 4.0

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

by Maarten van den Broek

Code and simulation results for a validation study comparing three free-vortex wake models for wind turbine control optimisation.

The free-vortex wake models for simulating the wind turbine wake are provided as Julia code. The associated data is presented in the publication demonstrating the validation of the models for predicting downwind dynamics of wind turbine wakes under yaw misalignment.

Model code and simulation data supporting the paper "Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects"

• 2023-05-23 first online, published, posted

4TU.ResearchData

julia code and csv data 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, Delft Centre for Systems and Control