Kim YJ, Al-Abadi AKK, Delgado A (2016)
Publication Type: Conference contribution
Publication year: 2016
Publisher: American Society of Mechanical Engineers (ASME)
Edited Volumes: Proceedings of the ASME Turbo Expo
Book Volume: 9
Conference Proceedings Title: Proceedings of the ASME Turbo Expo
ISBN: 9780791849873
DOI: 10.1115/GT2016-56836
This study introduces strategic methods for improving the aerodynamic performance of wind turbines. It was completed by combining different optimization methods for each part of the wind turbine rotor. The chord length and pitch angle are optimized by a torque-matched method (TMASO), whereas the airfoil shape is optimized by the genetic algorithm (GA). The TMASO is implemented to produce an improved design of a reference turbine (NREL UAE Phase V). The GA is operated to generate a novel airfoil design that is evaluated by automatic interfacing for the highest gliding ratio (GR). The adopted method produces an optimized wind turbine with an 11% increase of power coefficient (Cp) with 30% less of the corresponding tip speed ratio (TSR). Furthermore, the optimized wind turbine shows reduced tip loss effect.
APA:
Kim, Y.-J., Al-Abadi, A.K.K., & Delgado, A. (2016). Strategic blade shape optimization for aerodynamic performance improvement of wind turbines. In Proceedings of the ASME Turbo Expo. American Society of Mechanical Engineers (ASME).
MLA:
Kim, You-Jin, Ali Kedher Kashin Al-Abadi, and Antonio Delgado. "Strategic blade shape optimization for aerodynamic performance improvement of wind turbines." Proceedings of the ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition, GT 2016 American Society of Mechanical Engineers (ASME), 2016.
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