A site-specific design of a fixed-pitch fixed-speed wind turbine blade for energy optimization using surrogate models


We optimized a turbine blade based on the Phase VI experiment.

Variation of chord, twist and three airfoils improved the original design.

The modeling of the Energy production was calculated using BEM theory.

A surrogate model of energy production was performed using Kriging functions.

The coefficients of lifts’ plots of the optimized airfoils are above the S809’s, but aerodynamic efficiency is lower.


This work seeks to add a new approach to optimize a wind turbine blade’s performance by implementing a surrogate model using the Kriging function with the chord, twist and the use of 3 different airfoils as design variables for the maximization of the Annual Energy Production. A combination of Genetic Algorithms and the SQP method for Local Search are used to exploit the model. A baseline design of the blade starts with a replica of the Phase VI blade utilized in a NASA-Ames experiment and a MatLab script utilizes the Blade Element Momentum Theory (BEM) for the aerodynamic analysis. Results show a 23% improvement in energy production by using this method.


  • BEM;
  • Kriging;
  • Optimization;
  • HAWT;
  • Wind energy

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