Prevalent Wind Profile Shapes and Magnitude Probability Distributions for an On- and Offshore Location in the Netherlands

doi:10.4121/c3957db1-55b9-448a-95d6-8ad5b6c7494d.v1
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
Datacite citation style:
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

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.

history
  • 2024-06-11 first online, published, posted
publisher
4TU.ResearchData
format
text/csv, text/x-python, text/markdown
associated peer-reviewed publication
Power to the Airborne Wind Energy Performance Model
funding
  • European Commission, info:eu-repo/grantAgreement/EC/H2020/691173
  • European Commission, info:eu-repo/grantAgreement/EC/H2020/642682
organizations
TU Delft, Faculty of Aerospace Engineering, Department of Flow Physics and Technology, Section Wind Energy

DATA

files (1)