Publication Date
2019
Document Type
Dissertation/Thesis
First Advisor
Majumdar, Pradip
Degree Name
M.S. (Master of Science)
Legacy Department
Department of Mechanical Engineering
Abstract
Renewable energy resources are likely to be a future energy solution. Among them, the wind has gained a lot of interest. Despite the theoretical limitation in wind energy harnessing efficiency, it is, still, one of the most promising renewable resources with utilizing turbines to extract this energy. Wind turbines, based on their axis of rotation are categorized into vertical axis wind turbine (VAWT) and horizontal axis wind turbine (HAWT), which HAWT’s have shown relatively higher efficiency than VAWT’s. The aim of this thesis is first to develop a scaled-down model of a wind turbine in Computational Fluid Dynamics (CFD) environment with two varied blade angles of attack, and then carry out a comparison performance analysis of these two proposed designs. Angle of attack is one of the major blade geometrical parameters effective on the wind turbine performance characteristics such as flow dynamics, aerodynamic torque generation, wake formation, and turbine energy conversion efficiency. The three-dimensional analysis of the turbine aerodynamic and energy conversion behavior is software.
The aerodynamic performance of wind turbine airfoils is an important foundation for the aerodynamic design and the performance analysis of the wind turbine. Hence, the aerodynamic performance of wind turbine airfoil is analyzed in order to find lift and drag coefficient of the airfoil using Reynolds Average Navier-Stokes (RANS) Equations along with turbulence closure models. Based on airfoil lift and drag data, the performance of the wind turbine under designated characteristic parameters is determined in terms of output power and efficiency. The effect of each parameter is studied and discussed, focusing on design modification and efficiency improvement.
Recommended Citation
Ostovari, Ashkan, "A Computational Fluid Dynamics Analysis of The Aerodynamic Performance of Wind Turbine" (2019). Graduate Research Theses & Dissertations. 7516.
https://huskiecommons.lib.niu.edu/allgraduate-thesesdissertations/7516
Extent
82 pages
Language
eng
Publisher
Northern Illinois University
Rights Statement
In Copyright
Rights Statement 2
NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.
Media Type
Text