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

The Science of Making Torque from Wind 2014

Alpman, Emre^1

Mechanical Engineering Department, Marmara University, Goztepe Campus, Kadikoy, Istanbul, 34722, Turkey^1

关键词: Aerodynamic optimization;    Chord length distribution;    Design parameters;    Horizontal axis wind turbines;    Macroevolutionary algorithms;    Micro genetic algorithm;    Standard genetic algorithm;    Wind turbine blades;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/524/1/012044/pdf
DOI  :  10.1088/1742-6596/524/1/012044

来源: IOP

【 摘 要 】

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.