TY - DATA T1 - Data underlying the PhD Dissertation: Towards Hybrid Modeling of Hybrid VAWT: Power Performance and Flow Fields PY - 2024/05/02 AU - Jingna Pan UR - DO - 10.4121/a6302113-3bd4-430c-96d4-4c405c5be470.v1 KW - Darrieus-Savonius combined vertical axis wind turbine KW - Vortex particle method KW - Computational fluid dynamics KW - Power performance KW - Flow fields KW - Force fields KW - Computational accuracy KW - Computational efficiency N2 -
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.
ER -