Abstract: The aerodynamic design of wind turbine blades is carried out by means of evolutionary techniques within an automatic design environment. A simple, fast, and robust aerodynamic simulator is embedded in the design environment to predict the performance of any turbine blade produced as an intermediate individual of the evolutionary process. The aerodynamic simulator is based on blade element theory in which a panel method is combined with an integral boundary layer code to calculate the blade airfoils ’ characteristics. In order to reduce computations some simplifications have been applied and the results corrected by means of the application of neural network based approximations. Results of the simulations obtained using this techn...
Wind energy plays a vital role in the quest for renewable and sustainable energy as well as in reduc...
This study presents a methodology first built up for the aerodynamic shape optimization for wind tur...
This paper demonstrates the applicability of Artificial Neural Networks (ANNs) that use Multiple Bac...
Abstract-A new approach to high-fidelity aerodynamic design optimization of a wind turbine blade con...
An aerodynamic shape optimization methodology based on Genetic Algorithm and Blade Element Momentum ...
Abstract- In this research, an optimization of a wind turbine airfoil is performed by Genetic Algori...
This paper deals with an alternative design method of airfoil for wind turbine blade for low wind s...
© 1997-2012 IEEE. The production of renewable and sustainable energy is one of the most important ch...
An advanced design algorithm for the AOC 15/50 wind turbine is hereby presented: both aerodynamic an...
This paper presents an aerodynamic shape optimization methodology for rotor blades of horizontal axi...
The process of designing a wind turbine blade involves many disciplines and is of an iterative chara...
In this study, a novel optimization technique called the Artificial Bee Colony Algorithm based on Bl...
Abstract—Renewable and sustainable energy is one of the most important challenges currently facing m...
To achieve the highest energy level from a wind turbine, the prediction of its performance is essent...
AbstractAn aerodynamic shape optimization methodology based on Genetic Algorithm and Blade Element M...
Wind energy plays a vital role in the quest for renewable and sustainable energy as well as in reduc...
This study presents a methodology first built up for the aerodynamic shape optimization for wind tur...
This paper demonstrates the applicability of Artificial Neural Networks (ANNs) that use Multiple Bac...
Abstract-A new approach to high-fidelity aerodynamic design optimization of a wind turbine blade con...
An aerodynamic shape optimization methodology based on Genetic Algorithm and Blade Element Momentum ...
Abstract- In this research, an optimization of a wind turbine airfoil is performed by Genetic Algori...
This paper deals with an alternative design method of airfoil for wind turbine blade for low wind s...
© 1997-2012 IEEE. The production of renewable and sustainable energy is one of the most important ch...
An advanced design algorithm for the AOC 15/50 wind turbine is hereby presented: both aerodynamic an...
This paper presents an aerodynamic shape optimization methodology for rotor blades of horizontal axi...
The process of designing a wind turbine blade involves many disciplines and is of an iterative chara...
In this study, a novel optimization technique called the Artificial Bee Colony Algorithm based on Bl...
Abstract—Renewable and sustainable energy is one of the most important challenges currently facing m...
To achieve the highest energy level from a wind turbine, the prediction of its performance is essent...
AbstractAn aerodynamic shape optimization methodology based on Genetic Algorithm and Blade Element M...
Wind energy plays a vital role in the quest for renewable and sustainable energy as well as in reduc...
This study presents a methodology first built up for the aerodynamic shape optimization for wind tur...
This paper demonstrates the applicability of Artificial Neural Networks (ANNs) that use Multiple Bac...