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  4. Data from: Optimal blade pitch control for enhanced vertical-axis wind turbine performance
 
dataset

Data from: Optimal blade pitch control for enhanced vertical-axis wind turbine performance

Le Fouest, Sebastien
•
Mulleners, Karen  
2024
Zenodo

This directory contains open-source data obtained using a single-bladed H-type vertical-axis wind turbine prototype with individual blade pitching. This data results from the optimisation of the blade's pitching kinematics using a genetic algorithm at two tip-speed ratios: 1.5 and 3.2. The aerodynamic forces for all tested individuals and their pitch profiles are shared. A full descripton of the data content and how to use it is given in the readme.txt file. More information can be found at https://doi.org/10.21203/rs.3.rs-3121052

  • Details
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Type
dataset
DOI
10.5281/zenodo.10776725
ACOUA ID

86b74180-b8d1-494c-b521-80017d3ec513

Author(s)
Le Fouest, Sebastien
Mulleners, Karen  
Date Issued

2024

Version

v1

Publisher

Zenodo

Subjects

vertical-axis wind turbine

•

dynamic stall

•

flow control

•

genetic algorithm

•

individual blade pitching

EPFL units
UNFOLD  
FunderGrant NO

FNS

Dynamic stall management for improving aerodynamic robustness of H-type wind turbine (PYAPP2_173652)

RelationURL/DOI

IsSupplementTo

https://infoscience.epfl.ch/record/309354

IsNewVersionOf

https://zenodo.org/doi/10.5281/zenodo.10776724
Available on Infoscience
March 4, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/205772
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