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: 10.4121/22294423

van der Hoek, Daan; van Wingerden, Jan-Willem (2023): Data underlying the publication: Maximizing wind farm power output with the helix approach – experimental validation and wake analysis using tomographic PIV. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/22294423.v1

Dataset

• Renewable Energy
• Energy

dynamic induction control, the helix approach, tomographic piv, 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 , Jan-Willem van Wingerden

This data set contains phase-averaged measurements of a scaled model wind turbine wake, acquired using tomographic piv. Three control settings of the turbine were compared: normal operation (baseline), the clockwise helix approach, and the counter-clockwise helix approach. Measurements of the upstream and downstream turbine are included as well.

• 2023-03-22 first online, published, posted

4TU.ResearchData

zip files containing all the measurement data in .mat format

• This work is part of the Hollandse Kust Noord wind farm innovation program where CrossWind C.V., Shell, Eneco and Siemens Gamesa are teaming up; funding for the PhDs was provided by CrossWind C.V. and Siemens Gamesa.

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