Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 15, 2024
|
|
---|---|---|
Article Number | 8 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/smdo/2023024 | |
Published online | 12 April 2024 |
Research article
Performance enhancement of Savonius wind turbine through partially deformable blades
1
LPEA, University of Batna 1, Batna, 05000 Algeria
2
Scientific and Technical Research Centre for Arid Areas (CRSTRA), Biskra, 07000 Algeria
3
LEREESI, Higher National School of Renewable Energy, Environment & Sustainable Development, Batna, Algeria
4
ICB UMR 6303, CNRS, University of Bourgogne Franche-Comté, UTBM, 90010 Belfort, France
* e-mail: nadhir.lebaal@utbm.fr
Received:
9
October
2023
Accepted:
9
December
2023
In this study, we employ partially deformable blades to elevate the performance of Savonius wind turbines. The Bucket is constructed with rigid components equipped with a guidance system, resulting in continuous changes in its shape during turbine rotation. As the trailing edge of the advancing blade expands, it creates an active slot, effectively correcting the Bucket’s pressure distribution and enhancing the positive torque generated by the turbine. We employ a two-dimensional (2D) numerical model, implemented using the commercial software ANSYS-Fluent 23.0, with the governing motion equation executed through a user-defined function (UDF). This investigation explores the mechanism of performance enhancement by varying expansion amplitudes Our results, obtained at a Tip-speed ratio (TSR) of 1, reveal that when the amplitude of deformation exceeds one-quarter of the Bucket radius, the partially deformable blade outperforms the rigid blade, leading to a remarkable 32% improvement in the torque coefficient. These findings signify a promising path toward enhancing Savonius turbine efficiency.
Key words: Savonius turbine / deformable blade / wind turbine efficiency / harvesting wind energy
© A. Zereg et al., Published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.