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/c3957db1-55b9-448a-95d6-8ad5b6c7494d

Schelbergen, Mark (2024): Prevalent Wind Profile Shapes and Magnitude Probability Distributions for an On- and Offshore Location in the Netherlands. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c3957db1-55b9-448a-95d6-8ad5b6c7494d.v1

Dataset

• Aerospace Engineering
• Engineering

Airborne wind energy, Annual energy production, Vertical wind profile, Wind profile clusters

MIT

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

by Mark Schelbergen

This dataset contains the onshore and offshore wind profile shapes identified in the doctoral thesis "Power to the Airborne Wind Energy Performance Model". These wind profile shapes are published so that other researchers can utilize them to quantify the effect of wind profile variability on the performance of AWE systems of various types and sizes different from those used in the thesis.

• 2024-06-11 first online, published, posted

4TU.ResearchData

text/csv, text/x-python, text/markdown

Power to the Airborne Wind Energy Performance Model

• https://github.com/markschelbergen/wind-profile-shape-clusters/

• European Commission, info:eu-repo/grantAgreement/EC/H2020/691173
• European Commission, info:eu-repo/grantAgreement/EC/H2020/642682

TU Delft, Faculty of Aerospace Engineering, Department of Flow Physics and Technology, Section Wind Energy