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/a6302113-3bd4-430c-96d4-4c405c5be470

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

Dataset

• Aerospace Engineering
• Renewable Energy
• Engineering
• Energy

Computational accuracy, Computational efficiency, Computational fluid dynamics, Darrieus-Savonius combined vertical axis wind turbine, Flow fields, Force fields, Power performance, Vortex particle method

CC BY-NC-ND 4.0

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

by Jingna Pan

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.

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

4TU.ResearchData

txt/csv

• China Scholarship Council

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