Optimization of FX, DU and NACA airfoils for wind turbine blades using a multi-objective genetic algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The FX, DU and NACA 64 series airfoils are thick airfoils widely used for wind turbine blade application. They have several advantages in meeting the intrinsic requirements for wind turbines in terms of design point, off-design capabilities and structural properties. In this paper, we employ a multi-objective genetic algorithm (MOGA) for shape optimization of FX, DU and NACA 64 series airfoils to achieve two objectives, namely the generation of maximum lift as well as the maximum lift to drag ratio. The commercially available software FLUENT is employed for calculation of the flow field using the Reynolds-Averaged Navier-Stokes (RANS) equations in conjunction with a three equation k-kl-ω turbulence model. It is shown that the multiobjective GA optimization can generate superior airfoils compared to the original airfoils.

Original languageEnglish
Title of host publication51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013
StatePublished - 2013
Event51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013 - Grapevine, TX, United States
Duration: Jan 7 2013Jan 10 2013

Publication series

Name51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013

Conference

Conference51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition 2013
Country/TerritoryUnited States
CityGrapevine, TX
Period01/7/1301/10/13

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