Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Aerodynamic optimization of horizontal axis wind turbine blades by using CST method, BEM theory and genetic algorithm
Download
index.pdf
Date
2019
Author
Oğuz, Keriman
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
466
views
227
downloads
Cite This
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 the rotor power production. Genetic Algorithm (GA) is used to optimize the airfoils, chord length and twist angle along the blade span for maximum rotor power production objective. For selected rotors, the validation cases are performed. The design and optimization studies and the calculations of the aerodynamic performance characteristics are compared with the selected test wind turbine data available in the literature. By using the optimized airfoil profiles, new blades are designed, analyzed and their aerodynamic performance enhancements are examined.
Subject Keywords
Wind turbines.
,
Keywords: Class-Shape Transformation (CST)
,
Parametric Section (PARSEC)
,
Blade Element Momentum (BEM) Theory
,
Horizontal Axis Wind Turbine
,
Genetic Algorithm.
URI
http://etd.lib.metu.edu.tr/upload/12624517/index.pdf
https://hdl.handle.net/11511/44610
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Dynamic modelling and simulation of a wind turbine
Altuğ, Ayşe Hazal; Yavrucuk, İlkay; Department of Aerospace Engineering (2015)
In this thesis, a dynamic model for a horizontal axis wind turbine is developed for an upwind configuration using the MATLAB/Simulink environment. Blade Element Momentum Theory is used to model the rotor. It is assumed that the rotor blades are rigid and wind speed is uniform. Aerodynamic and gravitational forces are calculated as distributed loads. Verification of the model is done by using the LMS Samtech, Samcef for Wind Turbines software. Aerodynamic properties of the blades, sectional loads and moments...
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 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...
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...
Horizontal axis wind turbine rotor blade: winglet and twist aerodynamic design and optimization using CFD
Elfarra, Monier Ali; Akmandor, İbrahim Sinan; Sezer Uzol, Nilay; Department of Aerospace Engineering (2011)
The main purpose of this study is to aerodynamically design and optimize winglet, twist angle distribution and pitch angle for a wind turbine blade using CFD to produce more power. The RANS solver of Numeca Fine/Turbo was validated by two test cases, the NREL II and NREL VI blades. The results have shown a considerable agreement with measurements for both cases. Two different preconditioners have been implemented for the low Mach number flow. The results have shown the superiority of Merkle preconditioner o...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
K. Oğuz, “Aerodynamic optimization of horizontal axis wind turbine blades by using CST method, BEM theory and genetic algorithm,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Aerospace Engineering., Middle East Technical University, 2019.
