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Simulation of Morphing Blades for Vertical Axis WInd Turbines


Simulation of Morphing Blades for Vertical Axis WInd Turbines

Tan, Jennifer (2017) Simulation of Morphing Blades for Vertical Axis WInd Turbines. Masters thesis, Concordia University.

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The simulation of flow through vertical axis wind turbine (VAWT) is characterized by unsteady flow where the blade experiences varying angles of attack and Reynolds number as it completes a cycle. Therefore, the lift generated also varies as a function of its rotational position relative to the incoming freestream velocity. In order to improve the performance of these turbines the blade can take advantage of smart materials developed for control surface actuation. The aim of this paper is to investigate the effect of morphing blades on the aerodynamic performance of the turbine blades. The study uses commercial software Ansys Fluent pressure-based solver to investigate the flow past the turbine blades by solving the 2D Unsteady Reynolds-Averaged Navier-Stokes (URANS) equations. In order to simulate the morphing blade for VAWT, a sliding mesh method is used to simulate the VAWT rotation while a user-defined function (UDF) is written for the blade morphing flexure motion. This entails the use of dynamic mesh smoothing to prevent the mesh from having negative cell volumes. Although the dynamic mesh strategy has been successful in preserving the cell quality, it has been shown that the proposed method of simulating the morphing blade on VAWT is inadequate due to unphysical solutions. Finally, the effect of morphing the blade is tested on a static airfoil case instead, where it is shown that stall is alleviated by morphing the blade trailing edge.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Tan, Jennifer
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Mechanical Engineering
Date:August 2017
Thesis Supervisor(s):Paraschivoiu, Marius
ID Code:982850
Deposited By: JENNIFER TAN
Deposited On:10 Nov 2017 21:31
Last Modified:18 Jan 2018 17:55
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