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Analysis of a Nature-Inspired Shape for a Vertical Axis Wind Turbine

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http://hdl.handle.net/2183/38325
Creative Commons License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Except where otherwise noted, this item's license is described as Creative Commons License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
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Title
Analysis of a Nature-Inspired Shape for a Vertical Axis Wind Turbine
Author(s)
Blanco Damota, Javier
Rodríguez-García, JuanDeDios
Couce-Casanova, Antonio
Telmo Miranda, Javier
Caccia, Claudio Giovanni
Lamas, M.I.
Date
2022-07-12
Citation
Damota, Javier & Rodriguez, Juan de Dios. (2022). Analysis of a Nature-Inspired Shape for a Vertical Axis Wind Turbine. Applied Sciences. 10.3390/app12147018.
Abstract
[Abstract] Wind energy is gaining special interest worldwide due to the necessity of reducing pollutant emissions and employ renewable resources. Traditionally, horizontal axis wind turbines have been employed but certain situations require vertical axis wind turbines. With a view to improve the efficiency of a vertical axis wind turbine Savonius type, the present work proposes a bioinspired design blade profile relying on the Fibonacci spiral. This shape is repeatedly presented in nature and thus it leads to a bio-inspired blade profile. A numerical model was carried out and it was found that the Fibonacci shape improves the performance of the original Savonius shape, based on semicircular blade profiles. Particularly, the Fibonacci blade profile increases around 14% the power in comparison with the Savonius blade profile. Besides this comparison between Savonius and Fibonacci, a research study was carried out to improve the efficiency of the Fibonacci turbine. To this end, the effect of several parameters was analyzed: number of blades, aspect ratio, overlap, separation gap, and twist angle. Improvements on the average power greater than 30% were obtained.
Keywords
Wind turbine
VAWT
CFD
Savonius
Fibonacci
 
Editor version
https://doi.org/10.3390/app12147018
Rights
Creative Commons License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
ISSN
2076-3417

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