This paper presents a new multi-objective evolutionary algorithm (MOEA) for optimum aerodynamic design of horizontal-axis wind turbines (HAWT). The design problem is set to find the blade shape such that optimizing multi-objective at different airfoil profiles. Combined Blade Element Momentum (BEM) theory and two different algorithms (Genetic (GA) and Enumeration) are used. Flow around subsonic airfoils is analyzed using XFOIL software. WINDMEL III wind turbine is selected to improve its aerodynamic performance with different airfoil profiles technique of National Renewable Energy Laboratory (NREL) family. Employing Genetic Algorithm embodied in Blade Element Momentum theory to calculate power, thrust and starting torque coefficients that are the fitness function. Another method, Enumeration method, is used to enhance evolutionary method results. The optimum solution acquired from combination of Genetic Algorithm and Blade Element Momentum theory of three blades configuration increased power coefficient by (25.8 %) and thrust coefficient by (16.6%). Enumeration method results increased power coefficient by (13.8%), while thrust coefficient decreased by (0.2%) from the original design. In general, the evolutionary method of combined GA and BEM theory with different airfoil profiles technique improved the turbine aerodynamic performance, and the results are in good agreement with other published papers.
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ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis
July 25–27, 2014
Copenhagen, Denmark
Conference Sponsors:
- International
ISBN:
978-0-7918-4584-4
PROCEEDINGS PAPER
A New Multi-Objective Evolutionary Algorithm for Optimizing the Aerodynamic Design of HAWT Rotor Available to Purchase
Ekhlas M. Alfayyadh,
Ekhlas M. Alfayyadh
University of Technology, Baghdad, Iraq
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Sadeq H. Bakhy,
Sadeq H. Bakhy
University of Technology, Baghdad, Iraq
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Yasir M. Shkara
Yasir M. Shkara
University of Technology, Baghdad, Iraq
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Ekhlas M. Alfayyadh
University of Technology, Baghdad, Iraq
Sadeq H. Bakhy
University of Technology, Baghdad, Iraq
Yasir M. Shkara
University of Technology, Baghdad, Iraq
Paper No:
ESDA2014-20355, V002T09A015; 11 pages
Published Online:
October 23, 2014
Citation
Alfayyadh, EM, Bakhy, SH, & Shkara, YM. "A New Multi-Objective Evolutionary Algorithm for Optimizing the Aerodynamic Design of HAWT Rotor." Proceedings of the ASME 2014 12th Biennial Conference on Engineering Systems Design and Analysis. Volume 2: Dynamics, Vibration and Control; Energy; Fluids Engineering; Micro and Nano Manufacturing. Copenhagen, Denmark. July 25–27, 2014. V002T09A015. ASME. https://doi.org/10.1115/ESDA2014-20355
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