Performance evaluation of three cross flow vertical axis wind turbine configurations.

Colley, Gareth, Mishra, Rakesh, Rao, H.V. and Woolhead, R. (2009) Performance evaluation of three cross flow vertical axis wind turbine configurations. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2009: CEARC’09. University of Huddersfield, Huddersfield, pp. 130-136. ISBN 9781862180857

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Abstract

The performance output of three Vertical Axis Wind Turbine (VAWT) configurations has been evaluated using a two-dimensional Computational Fluid Dynamic (CFD) model. Data has been obtained using a quasi-steady Multi Reference Frame (MRF) approach in which the three variants were subjected to an inlet velocity of 4m/s and rotor blade tip speed ratios (λ) in the range of 0 to 0.6. The results obtained show a clear reduction in torque output as both the number of stator and rotor blades decrease. Furthermore, the power output of for each configuration reduces as a function of a reduction in number of stator/rotor blades.

Item Type:	Book Chapter
Uncontrolled Keywords:	Vertical axis wind turbine, CFD, Performance.
Subjects:	T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery
Schools:	School of Computing and Engineering School of Computing and Engineering > Automotive Engineering Research Group School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC) School of Computing and Engineering > Pedagogical Research Group School of Computing and Engineering > Diagnostic Engineering Research Centre School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group School of Computing and Engineering > High-Performance Intelligent Computing School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Related URLs:	Author
Depositing User:	Sharon Beastall
Date Deposited:	28 Jan 2010 09:40
Last Modified:	29 Mar 2018 09:31
URI:	http://eprints.hud.ac.uk/id/eprint/6881

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