Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)

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Numeric Analysis of Blades Curvation of Savonius Wind Turbine

Authors
Delffika Canra1, *, Muhammad Luthfi1, Ruzita Sumiati2, Yusup Rohmat1
1Politeknik Negeri Indramayu, Indramayu, Indonesia
2Politeknik Negeri Padang, Padang, Indonesia
*Corresponding author. Email: delffika.canra@polindra.ac.id
Corresponding Author
Delffika Canra
Available Online 17 February 2024.
DOI
10.2991/978-94-6463-364-1_47How to use a DOI?
Keywords
Savonius turbine; Coefficient of Power; Torque; and Rotational Speed
Abstract

One promising source of renewable energy is wind energy. Wind energy is an abundant source of renewable energy to produce clean energy. A wind turbine is a device used to convert wind energy into kinetic energy. The average wind speed is 3m/s to 7m/s in Indonesia, classified as low wind speed. Savonius wind turbines can produce high torque values at low wind speeds. Making curvature variations in savonius wind turbine blades is one form of development to improve the performance of these wind turbines. This study aims to determine the effect of blade curvature from 0% to 100% blade curvature variations and wind speeds from 3m/s to 10m/s on the value of Coefficient of Power, Torque, and Rotational Speed. The method used is Numerical using CFD (Computational Fluid Dynamic) Solidworks software. As a result, the largest Coefficient of Power value is in the 10% blade curvature variation which is 52.0224% at 5.5m/s wind speed. The largest torque value is in the 20% blade curvature variation which is 0.1399 Nm at a wind speed of 10m/s. Then, the largest rotation speed value is in the 10% blade curvature variation which is 713.3005 Rpm at 10m/s wind speed.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
Series
Advances in Engineering Research
Publication Date
17 February 2024
ISBN
10.2991/978-94-6463-364-1_47
ISSN
2352-5401
DOI
10.2991/978-94-6463-364-1_47How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Delffika Canra
AU  - Muhammad Luthfi
AU  - Ruzita Sumiati
AU  - Yusup Rohmat
PY  - 2024
DA  - 2024/02/17
TI  - Numeric Analysis of Blades Curvation of Savonius Wind Turbine
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2023 (iCAST-ES 2023)
PB  - Atlantis Press
SP  - 506
EP  - 517
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-364-1_47
DO  - 10.2991/978-94-6463-364-1_47
ID  - Canra2024
ER  -