Data underlying the PhD Dissertation: Towards Hybrid Modeling of Hybrid VAWT: Power Performance and Flow Fields

DOI:10.4121/a6302113-3bd4-430c-96d4-4c405c5be470.v1
The DOI displayed 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/a6302113-3bd4-430c-96d4-4c405c5be470
Datacite citation style:
Pan, Jingna (2024): Data underlying the PhD Dissertation: Towards Hybrid Modeling of Hybrid VAWT: Power Performance and Flow Fields. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a6302113-3bd4-430c-96d4-4c405c5be470.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This data set contains the data underlying the figures presented in the chapters 5 and 6 of the dissertation: Towards Hybrid Modeling of Hybrid VAWT: Power Performance and Flow Fields. Data is provided in the form of .txt/.csv files that can be read and postprocessed with Python/Matlab.

History

  • 2024-05-02 first online, published, posted

Publisher

4TU.ResearchData

Format

txt/csv

Funding

  • China Scholarship Council

Organizations

TU Delft, Faculty of Aerospace Engineering, Department of Flow Physics Technology

DATA

Files (2)