READ ME File For 'Dataset for my PhD Thesis'

Dataset DOI:  https://doi.org/10.5258/SOTON/D2159

ReadMe Author: ThankGod Enatimi Boye, University of Southampton ORCID ID

This dataset supports the thesis entitled  "Aerodynamics of a Pitching Wind Turbine Blade and the Large-Scale Turbulence Impact"
AWARDED BY: University of Southampton
DATE OF AWARD: March 2022.

DESCRIPTION OF THE DATA
This dataset were generated from running large-eddy simulation (LES) in OpenFoam v2.3.0 and inflow synthetic turbulence condition for LES.

This dataset contains:
All data use for the calculations, analysis and  plots are included here. 
The dataset contains MS Excel files for chapters 4, 5, and 6 of the thesis, which the are only presented in the thesis. Each of the MS Excel file bears the name of the figure(s) (x-y plot) in each of the chapters in the thesis.
All contour data are generated from simulation cases of which each case dataset size is approximately 100 GB (using LES) and 40 difference cases were studied. This constrain my ability to provide raw data for the contours figures in Chapters 4, 5, and 6 of the thesis.  

To best of my knowledge all data presented in the thesis are contained in the compressed folder called TBoye_PhD_Thesis_data.zip. 

Date of data collection: January 2018 - December 2021

Information about geographic location of data collection: University of Southampton.

Licence: CC BY 4.0

Related projects/Funders: PhD scholarship, funded by Petroleum Technology Development Fund (PTFD), Nigeria.

Related publication:
T. E. Boye and Z.T. Xie, “Aerodynamics of a pitching wind turbine blade at high reduced frequencies”.
Journal of Wind Engineering and Industrial Aerodynamics, vol. 223, p. 104935, 2022.


Date that the file was created: March 2022.