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Aerodynamic shape optimization of wind turbine blades using a 2-D panel method with a boundary layer solver and a Genetic Algorithm
Date
2012-12-01
Author
Polat, Ozge
Sezer-uzol, Nilay
Tuncer, İsmail Hakkı
Metadata
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This paper presents an aerodynamic shape optimization methodology for rotor blades of horizontal axis wind turbines. Genetic Algorithm and Blade Element Momentum (BEM) Theory are implemented for maximization of the power production at a given wind speed, rotor speed and rotor diameter. The potential flow solver with a boundary layer model, XFOIL, provides sectional aerodynamic loads. Optimization variables are selected as the sectional chord length, the sectional twist and the blade profiles at root, mid and tip regions of the blade. The blade sections may be defined by the NACA four digit airfoil series or by arbitrary airfoil profiles defined by a Bezier curve. Firstly, validation studies are performed for the method developed. Then, several optimization studies are performed on the Risoe wind turbine. Finally, a design optimization for a 1 MW wind turbine is performed.
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84871637227&origin=inward
https://hdl.handle.net/11511/85137
Conference Name
6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012, (10 - 14 Eylül 2012)
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Department of Aerospace Engineering, Conference / Seminar
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Genetic algorithm based aerodynamic shape optimization of wind turbine rotor blades using a 2-d panel method with a boundary layer solver
Polat, Özge; Tuncer, İsmail Hakkı; Sezer Uzol, Nilay; Department of Aerospace Engineering (2011)
This thesis presents an aerodynamic shape optimization methodology for rotor blades of horizontal axis wind turbines. Genetic Algorithm and Blade Element Momentum Theory are implemented in order to find maximum power production at a specific wind speed, rotor speed and rotor diameter. The potential flow solver, XFOIL, provides viscous aerodynamic data of the airfoils. Optimization variables are selected as the sectional chord length, the sectional twist and the blade profiles at root, mid and tip regions of...
Aerodynamic shape optimization of wind turbine blades using a parallel genetic algorithm
Polat, Ozge; Tuncer, İsmail Hakkı (2013-12-31)
An aerodynamic shape optimization methodology based on Genetic Algorithm and Blade Element Momentum theory is developed for rotor blades of horizontal axis wind turbines Optimization studies are performed for the maximization of power production at a specific wind speed, rotor speed and rotor diameter. The potential flow solver with a boundary layer model, XFOIL, provides sectional aerodynamic loads. The sectional chord length, the sectional twist and the blade profiles at root, mid and tip regions of the b...
Aerodynamic design and optimization of horizontal axis wind turbines by using bem theory and genetic algorithm
Ceyhan, Özlem; Tuncer, İsmail Hakkı; Department of Aerospace Engineering (2008)
An aerodynamic design and optimization tool for wind turbines is developed by using both Blade Element Momentum (BEM) Theory and Genetic Algorithm. Turbine blades are optimized for the maximum power production for a given wind speed, a rotational speed, a number of blades and a blade radius. The optimization variables are taken as a fixed number of sectional airfoil profiles, chord lengths, and twist angles along the blade span. The airfoil profiles and their aerodynamic data are taken from an airfoil datab...
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In this thesis, an aerodynamic design and optimization study for rotor airfoils and blades of Horizontal Axis Wind Turbines (HAWTs) is performed by using different airfoil representations and genetic algorithm. Two airfoil representations, the Class-Shape Transformation (CST) method and the Parametric Section (PARSEC) method, are used for the airfoil geometry designs. Their aerodynamic data is obtained by a potential flow solver software, XFOIL. The Blade Element Momentum (BEM) theory is used to calculate t...
Aerodynamic optimization of turbomachinery cascades using Euler/boundary-layer coupled genetic algorithms
Oksuz, O; Akmandor, IS; Kavsaoglu, MS (American Institute of Aeronautics and Astronautics (AIAA), 2002-05-01)
A new methodology is developed to find the optimal aerodynamic performance of a turbine cascade. A boundary-layer coupled Euler algorithm and a genetic algorithm are linked within an automated optimization loop. The multiparameter objective function is based on the blade loading. For a given inlet Mach number and baseline cascade geometry, the flow inlet and exit angles, the blade thickness and the solidity are optimized by a robust genetic algorithm. First, the Sanz subcritical turbine cascade is selected ...
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O. Polat, N. Sezer-uzol, and İ. H. Tuncer, “Aerodynamic shape optimization of wind turbine blades using a 2-D panel method with a boundary layer solver and a Genetic Algorithm,” Vienna, Avusturya, 2012, p. 6263, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84871637227&origin=inward.