Effect of Selection of Design Parameters on the Optimization of a Horizontal Axis Wind Turbine via Genetic Algorithm


Alpman E.

5th Science of Making Torque from Wind Conference, Copenhagen, Danimarka, 18 - 20 Haziran 2014, cilt.524 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 524
  • Doi Numarası: 10.1088/1742-6596/524/1/012044
  • Basıldığı Şehir: Copenhagen
  • Basıldığı Ülke: Danimarka
  • Marmara Üniversitesi Adresli: Evet

Özet

The effect of selecting the twist angle and chord length distributions on the wind turbine blade design was investigated by performing aerodynamic optimization of a two-bladed stall regulated horizontal axis wind turbine. Twist angle and chord length distributions were defined using Bezier curve using 3, 5, 7 and 9 control points uniformly distributed along the span. Optimizations performed using a micro-genetic algorithm with populations composed of 5, 10, 15, 20 individuals showed that, the number of control points clearly affected the outcome of the process; however the effects were different for different population sizes. The results also showed the superiority of micro-genetic algorithm over a standard genetic algorithm, for the selected population sizes. Optimizations were also performed using a macroevolutionary algorithm and the resulting best blade design was compared with that yielded by micro-genetic algorithm.