Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/25658
Title: Research on wind turbine rotor models using NACA profiles
Authors: Uludağ Üniversitesi/Ziraat Fakültesi/Tarım Makinaları Bölümü.
0000-0002-1898-8390
0000-0001-6349-9687
Vardar, Ali
Alibaş, İlknur
AAH-5008-2021
AAH-4263-2021
15049958800
15050151200
Keywords: Power coefficient
Rotation number
Rotor
Tip speed ratio
Wind turbine
Computation theory
Mathematical models
Turbomachine blades
Rotors
Wind turbines
Computation theory
Mathematical models
Rotors
Turbomachine blades
Dicotyledon
Model
Rotation
Tree
Wind power
Wind turbine
Wind velocity
Power coefficient
Rotation number
Tip speed ratio
Wind turbines
Science & technology - other topics
Energy & fuels
Issue Date: Jul-2008
Publisher: Pergamon-Elsevier Science
Citation: Vardar, A. ve Alibaş, İ. (2008). "Research on wind turbine rotor models using NACA profiles". Renewable Energy, 33(7), 1721-1732.
Abstract: In this study, rotation rates and power coefficients of miniature wind turbine rotor models manufactured using NACA profiles were investigated. For this purpose, miniature rotor models with 310 mm diameter were made from "Balsa" wood. When all properties of rotor models were taken into account, a total of 180 various combinations were obtained. Each combination was coded with rotor form code. These model rotors were tested in a wind tunnel measurement system. Rotation rates for each rotor form were determined based on wind speed. Power coefficient values were calculated using power and tip speed rates of wind. Rotor models produced a rotation rate up to 3077 rpm, with a power coefficient rate up to 0.425. Rotor models manufactured by using NACA 4412 profiles with 0 grade twisting angle, 5 grade blade angle, double blades had the highest rotation rate, while those manufactured by using NACA 4415 profiles with 0 grade twisting angle, 18 grade blade angle, 4 blades had the highest power coefficient.
URI: https://doi.org/10.1016/j.renene.2007.07.009
https://www.sciencedirect.com/science/article/pii/S0960148107002443
http://hdl.handle.net/11452/25658
ISSN: 960-1481
Appears in Collections:Scopus
Web of Science

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