PENGEMBANGAN PERANCANGAN AIRFOIL SUDU TURBIN ANGIN KECEPATAN RENDAH BERBASIS INVERSE DESIGN METHOD MENGGUNAKAN ARTIFICIAL NEURAL NETWORK

Abstract

The technical problems in utilization of wind energy as electric power plant in Indonesia is mainly due to the low of average wind velocity which is in the range of 2,5 - 6 m/s. On the other side, the available windmills in the market so far were suited to the home land manufacturer condition, where the average of wind velocity is high enough (above 8 m/s). Therefore, it is a need to develop wind turbine suitably for climate condition in Indonesia. One of the important aspects in turbine blade design is airfoil selection. In this research a methodology of turbine blade design based on intelligent computation has been developed. Using this method the airfoil geometry is no longer as a limitation (constraint) in a wind turbine blade design, therefore the design process can be conducted more easy. Firstly, several airfoil profiles were generated by complex variable transformation (Joukowski transformation) then lift, drag and aerodynamic moment coefficients were numerically calculated by CFD (Computational Fluid Dynamics). The obtained data were used to train the Artificial Neural Network (ANN). By the trained ANN, airfoil geometry can be determined directly with the given aerodynamic forces and moment coefficients instead of wind tunnel experiment or even numerical computation. The ANN result shows good enough for the level of accuracy for even a variety of different training functions.