Issue |
E3S Web Conf.
Volume 581, 2024
Empowering Tomorrow: Clean Energy, Climate Action, and Responsible Production
|
|
---|---|---|
Article Number | 01004 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/e3sconf/202458101004 | |
Published online | 21 October 2024 |
Enhancing Wind Turbine Performance using Computational Fluid Dynamics
1 Department of CSE, GRIET, Bachupally, Hyderabad,Telangana, India.
2 Department of MBA, KG Reddy College of Engineering and Technology, Chilkur(Vil), Moinabad(M), Ranga Reddy(Dist), Hyderabad, 500075,Telangana, India.
3 Centre of Research Impact and Outcome, Chitkara University,Rajpura- 140417, Punjab, India
4 Uttaranchal University, Dehradun - 248007, India
5 Lovely Professional University, Phagwara, Punjab, India,
6 Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh-174103 India
7 Department of Mechanical Engineering, GLA University, Mathura-281406 (U.P.), India
8 Department of computers Techniques engineering, College of technical engineering, The Islamic University, Najaf, Iraq
* Corresponding Author: ravanthi1743@grietcollege.com
This study explores the potential of Computational Fluid Dynamics (CFD) to enhance wind turbine performance by analyzing fluid flow and aerodynamic behavior. By applying CFD simulations to optimize blade designs and predict wake interactions, significant improvements in turbine efficiency and power output were achieved. The study focuses on the effects of different blade geometries, wind speeds, and turbulence models. Results show a 15% increase in aerodynamic efficiency through optimized blade angles, with a 10% reduction in turbulence-induced losses. This research provides insights into using CFD to improve turbine design and performance, making wind energy more efficient and sustainable.
Key words: Wind Turbine Performance / Computational Fluid Dynamics (CFD) / Blade Optimization / Aerodynamics / Turbulence Models
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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