Abstract
The main objective in the design of wind turbine blades is the use of suitable airfoils to increase the aerodynamic performance and decrease the cost of energy. The objective of this research is to employ numerical optimization techniques to develop airfoils for wind turbines. To achieve this objective, a mathematical model is formulated by combining genetic algorithms with the XFOIL flow solver. Three different airfoils with different characteristics are created using the genetic algorithm. Throughout the optimization procedure, XFOIL software is used to determine the lift and drag coefficients. This study confirms the feasibility and effectiveness of the innovative design approach. Furthermore, it provides a valuable design concept that can be effectively applied to the airfoils of medium-thickness wind turbines.
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Acknowledgments
This work has been partially supported by the Spanish Ministry of Science and Innovation under project MCI/AEI/FEDER number PID2021-123543OBC21.
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Radi, J., Djebli, A., Sierra-Garcia, J.E., Santos, M. (2023). Glide Ratio Optimization for Wind Turbine Airfoils Based on Genetic Algorithms. In: Quaresma, P., Camacho, D., Yin, H., Gonçalves, T., Julian, V., Tallón-Ballesteros, A.J. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2023. IDEAL 2023. Lecture Notes in Computer Science, vol 14404. Springer, Cham. https://doi.org/10.1007/978-3-031-48232-8_47
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