• Login
    • Login
    Advanced Search
    View Item 
    •   Maseno IR Home
    • Journal Articles
    • School of Biological and Physical Science
    • Department of Physics & Materials Science
    • View Item
    •   Maseno IR Home
    • Journal Articles
    • School of Biological and Physical Science
    • Department of Physics & Materials Science
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Mathematical modelling of wind turbine in a wind energy conversion system: Power coefficient analysis

    Thumbnail
    View/Open
    manyonge5.pdf (169.3Kb)
    Publication Date
    2012-01
    Author
    Alfred Wanyama Manyonge, RM Ochieng, FN Onyango, JM Shichikha
    Metadata
    Show full item record
    Abstract/Overview
    The world is increasingly going green in its energy use. Wind power is a green renewable source of energy that can compete effectively with fossil fuel as a generator of power in the electricity market. For this effective competion, the production cost must be comparable to that of fossil fuels or other sources of energy. The initial capital investment in wind power goes to machine and the supporting infrastructure. Any factors that lead to decrease in cost of energy such as turbine design, construction and operation are key to making wind power competitive as an alternative source of energy. A mathematical model of wind turbine is essential in the understanding of the behaviour of the wind turbine over its region of operation because it allows for the development of comprehensive control algorithms that aid in optimal operation of a wind turbine. Modelling enables control of wind turbine’s performance. This paper attempts to address part or whole of these general objectives of wind turbine modelling through examination of power coefficient parameter. Model results will be beneficial to designers and researchers of new generation turbines who can utilize the information to optimize the design of turbines and minimize generation costs leading
    Permalink
    https://repository.maseno.ac.ke/handle/123456789/1781
    Collections
    • Department of Physics & Materials Science [164]

    Maseno University. All rights reserved | Copyright © 2022 
    Contact Us | Send Feedback

     

     

    Browse

    All of Maseno IRCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    Maseno University. All rights reserved | Copyright © 2022 
    Contact Us | Send Feedback