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Distance Optimisation for Linear Arrangement of Vertical Axis Wind Turbines

Mohamed, Fajer (2018) Distance Optimisation for Linear Arrangement of Vertical Axis Wind Turbines. Masters thesis, University of Huddersfield.

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Abstract

For many centuries, researchers and scholars have been effortlessly trying to harvest natural energy resources, such as wind energy, solar energy and geothermal energy, due to the diminution of fossil fuels and their harmful effects on the surrounding environment. The wind has been shown to possess an incredible amount of power, which can be harnessed using wind turbines. Wind turbines transform the kinetic energy available in the free stream wind into mechanical energy by a rotor, from which power can be generated.

Wind turbines can be broadly classified into two main categories, depending on the orientation of their axis of rotation; Horizontal Axis Wind Turbines (HAWT) and Vertical Axis Wind Turbines (VAWT). VAWTs are more suitable for the urban environment due to their low start-up torque.
Extensive research has been carried out in improving the design and performance of a VAWT. However, a number of key issues have been highlighted after conducting an extensive literature; these key issues form the scope of this research.

The current study focuses on optimising the distance between VAWT’s placed side by side linearly, by analysing the flow around a single VAWT using advanced numerical modelling tools. This study is carried out by analysing the wake region formed by the flow field under various free stream wind velocities. Furthermore, maximum wake region will be identified to measure the maximum distance the free stream wind velocity can occupy in the VAWT vicinity.

Finally, a novel mathematical model that predicts the optimal distance required to place a side by side VAWT under various flow conditions will be developed. It is expected that this study will be able to optimise the spacing between VAWTs in a wind farm.

Item Type: Thesis (Masters)
Subjects: T Technology > T Technology (General)
Schools: School of Computing and Engineering
Depositing User: Andrew Strike
Date Deposited: 13 Sep 2018 13:48
Last Modified: 11 Oct 2018 11:31
URI: http://eprints.hud.ac.uk/id/eprint/34681

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