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https://hdl.handle.net/20.500.13091/5386
Title: | Investigation of the Generated Energy, Noise and Performance on High Capacity 10 MW Wind Turbines with Two Different NACA 4415-2215 Airfoils Profiles | Authors: | Dwedar, M.E.M. Kose, F. Bayram, M.E.F. Jesser, A. |
Keywords: | Aerodynamics CFD Renewable Energy Airfoils Energy efficiency Lift Noise pollution Offshore oil well production Wind turbines Airfoil profile Design Analysis Energy Energy output High capacity High-capacity MW wind turbine Performance Performances analysis Renewable energies Computational fluid dynamics |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | This paper presents a comprehensive study on the design and performance analysis of large wind turbines using Computational Fluid Dynamics (CFD) approaches, specifically employing Qblade and ANSYS software. The investigation focuses on the comparison between NACA 4415 and NACA 2215 airfoil profiles, emphasizing the need for large, robust wind turbines in the pursuit of sustainable energy sources. The NACA 4415 profile demonstrated superior energy efficiency, a larger swept area, and a higher lift coefficient to drag coefficient ratio (Cl/Cd), making it a desirable choice for maximizing energy output in large turbines. Addressing the issue of noise pollution, the study revealed that the NACA 2215 profile significantly reduced noise by 9% compared to the NACA 4415 profile, making it a recommended option for large turbines in residential areas. Further analysis of different wind turbine capacities highlighted the benefits of the NACA 4415 profile in improving energy output, reducing reverse thrust force, and promoting smoother airflow. The study also considered the impact of blade stress, emphasizing the need for stronger materials in the region 15% away from the hub. The comparison between Q-Blade and Ansys algorithms showed minor differences, mainly attributed to meshing sizing or error checking. Ultimately, the NACA 4415 profile emerged as the preferred option for offshore wind turbine projects, offering higher yearly energy production capability, efficiency, financial benefits, and reduced noise generation. © 2024 IEEE. | Description: | Gazi University;OPAL-RT Technologies;Qatar General Electricity and Water Corporation (KAHRAMAA);Qatar Research Development and Innovation (QRDI);Texas A and M University at Qatar 4th International Conference on Smart Grid and Renewable Energy, SGRE 2024 -- 8 January 2024 through 10 January 2024 -- 197322 |
URI: | https://doi.org/10.1109/SGRE59715.2024.10428983 https://hdl.handle.net/20.500.13091/5386 |
ISBN: | 9798350306262 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections |
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