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/a8555119-db46-4ecd-9138-8785b9080ff0

van den Berg, Daniel; van der Hoek, Daan (2024): Wind Tunnel Data accompanying the publication: Phase-controlling the motion of floating wind turbines to reduce wake interactions. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a8555119-db46-4ecd-9138-8785b9080ff0.v1

Dataset

• Mechanical Engineering
• Renewable Energy
• Climate and Climate Change
• Engineering
• Energy
• Environment

Floating Turbine, Hexapod, PIV Data, The Helix Wake Mixing Method, VolturnUS Floater, Wind Energy, Wind Tunnel Experiments

CC BY-NC-SA 4.0

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

by Daniel van den Berg , Daan van der Hoek

This dataset contains the post-processed data gathered during wind tunnel experiments. The results are too be published in a Nature Energy publication, if accepted for review. We would refer to the read-me for a more detailed description of the data as well as an explanation on the structure of the scripts.

The data set contains the post-processed data and scripts that, when run, will create the same figures as seen in the publication. The data set is 90 GB large, please be aware of this!

• 2024-09-09 first online, published, posted

4TU.ResearchData

Matlab Files and Scripts

• Optimization of floating wind turbines using innovative control techniques and fully coupled open source engineering tool (grant code 101007142) [more info...] European Union
• Developing the Next Generation of Environmentally-Friendly Floating Wind Farms with Innovative Technologies and Sustainable Solutions (grant code 101136091) [more info...] European Commission

TU Delft, Faculty of Mechanical Engineering (ME);
Delft Centre for Systems and Control (DCSC)