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: 10.4121/20153054

Pan, Jingna; Simao Ferreira, Carlos; Zuijlen, Alexander van (2024): Data underlying the publication: Estimation of power performances and flow characteristics for a Savonius rotor by vortex particle method. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20153054.v1

Dataset

• Renewable Energy
• Energy

double-trailing-edge-wake-modeling, flow characteristics, power performance, Savonius rotor, vortex particle method

CC BY-NC-ND 4.0

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

by Jingna Pan , Carlos Simao Ferreira , Alexander van Zuijlen

This dataset refers to the publication entitled "Estimation of power performances and flow characteristics for a Savonius rotor by vortex particle method" by Jingna Pan. This work conducts numerical simulations to assess the flow features and power performance of Savonius using vortex particle method. Data is provided in the form of .txt/.csv files that can be read and postprocessed with Python/Matlab.

• 2024-05-01 first online, published, posted

4TU.ResearchData

txt/csv

Estimation of power performances and flow characteristics for a Savonius rotor by vortex particle method

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