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In recent years, wind energy has become an increasingly popular form of renewable energy. For this reason, research on the optimization of wind turbines is also receiving great amounts of attention. This thesis aims to propose a comprehensive optimization technique for horizontal wind turbines’ aerofoils. Genetic algorithm (GA) included in MATLAB Global Optimization Toolbox is chosen as the optimization algorithm. To evaluate the aerodynamic performance of the aerofoils, XFOIL is utilized. A detailed workflow is built using MATLAB programming language. To validate the results, two aerofoil optimization problems are solved using the proposed optimization technique. The validation results show that the technique has successfully optimized the baseline aerofoils. Compared to the references, the optimized aerofoils show similar geometry and aerodynamic performance. Further improvement can be made to the formulation of constraints and post-optimization evaluation, so that the process can be more streamlined.

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An Optimization Technique for Horizontal Axis Wind Turbines’ Airfoils Using XFOIL and Genetic Algorithm

  • 会议论文

  • 发表日期：

    2026年

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  • Thi Tuyet Nhung Le,
  • Dinh Quy Vu,
  • Anh Duy Truong

摘要

In recent years, wind energy has become an increasingly popular form of renewable energy. For this reason, research on the optimization of wind turbines is also receiving great amounts of attention. This thesis aims to propose a comprehensive optimization technique for horizontal wind turbines’ aerofoils. Genetic algorithm (GA) included in MATLAB Global Optimization Toolbox is chosen as the optimization algorithm. To evaluate the aerodynamic performance of the aerofoils, XFOIL is utilized. A detailed workflow is built using MATLAB programming language. To validate the results, two aerofoil optimization problems are solved using the proposed optimization technique. The validation results show that the technique has successfully optimized the baseline aerofoils. Compared to the references, the optimized aerofoils show similar geometry and aerodynamic performance. Further improvement can be made to the formulation of constraints and post-optimization evaluation, so that the process can be more streamlined.