Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic Algorithm

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="864210.fig.0010a" src="https://static.hindawi.com/articles/ijae/volume-2014/864210/figures/864210.fig.0010a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>23% span airfoil</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="864210.fig.0010b" src="https://static.hindawi.com/articles/ijae/volume-2014/864210/figures/864210.fig.0010b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>58% span airfoil</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="864210.fig.0010c" src="https://static.hindawi.com/articles/ijae/volume-2014/864210/figures/864210.fig.0010c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>98% span airfoil</td></tr></table></td></tr></table>

<table>Dominated solutions in Pareto front approximation for airfoils at 23%, 58%, and 98% span locations.</table>

International Journal of Aerospace Engineering

fig10

Figure 10

Figure 10: Shape Optimization of NREL S809 Airfoil for Wind Turbine Blades Using a Multiobjective Genetic Algorithm 