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Condition Based Monitoring of Vertical Axis Wind Turbines using Computational Fluid Dynamics

Park, Kyooseon, Asim, Taimoor, Mishra, Rakesh and Pradhan, Suman (2012) Condition Based Monitoring of Vertical Axis Wind Turbines using Computational Fluid Dynamics. In: Thirty Ninth National Conference on Fluid Mechanics and Fluid Power, 13th-15th December 2012, Surat, India. (Submitted)

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    Abstract

    Scarcity of fossil fuels and a rapid escalation in the fuel prices around the world recently has lead the search for alternative energy sources. Out of the available energy sources, wind is being considered as the prime next generation energy source. The fundamental principle of wind turbines is to convert the wind energy into first mechanical and then into electrical form. The relatively simple operation of such turbines has stirred the researchers to come up with innovative designs for global acceptance and to make these turbines commercially viable. Furthermore, the maintenance of wind turbines has long been a topic of interest. On-line health monitoring of wind turbines is essential to maintain continuous operation of wind turbines. The present work focuses on the difference in the outputs of a vertical axis wind turbine (VAWT) under different operational conditions. A Computational Fluid Dynamics (CFD) technique has been used to monitor various blade conditions of a VAWT. The results indicate that there is significant degradation in the performance output of wind turbines as the number of blades broken or missing from the VAWT increases. The study predicts the faults in the blades of VAWTs by monitoring its output.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > TJ Mechanical engineering and machinery
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
    Related URLs:
    Depositing User: Taimoor Asim
    Date Deposited: 30 Oct 2012 15:41
    Last Modified: 16 Jul 2014 15:53
    URI: http://eprints.hud.ac.uk/id/eprint/15451

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