Power output prediction for LM wind turbine blade using blade element momentum theory and GH bladed software

• Main Authors: Augusto, Gerardo L., Culaba, Alvin B., Chen, W.
• Format: text
• Published: Animo Repository 2019
• Subjects: Wind turbines; Thermal electromotive force; Turbines—Parts; Green technology; Energy conservation; Mechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3701; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4703/type/native/viewcontent/012098.html
• Institution: De La Salle University

The blade element momentum theory with Prandtl's tip loss and Glauert's correction factors was utilized to compute the power coefficient and to predict the power output of LM rotor blade as a function of hub wind speed ranging from 3 m/s to 25 m/s. The blade length is 43.8 m and consists o...