13th European Conference on Turbomachinery Fluid dynamics & Thermodynamics

Paper ID:


Main Topic:

Wind Turbines



Audrey Gaymann - Imperial College of London
Giorgio Schiaffini - Imperial College of London/Universita' di Roma la Sapienza
Michela Massini - UQuant
Francesco Montomoli - Imperial College of London
Alessandro Corsini - Università di Roma La Sapienza


In this work Artificial Neural Networks (ANN) are used for a multi-target optimization of the aerodynamics of a wind turbine blade. The Artificial Neural Network is used to build a meta-model of the blade, which is then optimized according to the imposed criteria. The neural networks are trained with a data set built by a series of CFD simulations and their configuration (number of neurons and layers) selected to improve performances and avoid over-fitting. The basic configuration of the airfoil is the profile S809, which is commonly used in horizontal axis wind turbines (HAWT), equipped with a Coanda jet. The design position and momentum of the jet are optimized to maximize aerodynamic efficiency and minimize the power required to activate the Coanda Jet.


Download it! Paper is available for download