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        Design Optimization of Wind Energy Conversion Systems with Applications

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        Contributor(s)
        Maalawi, Karam Y. (editor)
        Collection
        Knowledge Unlatched (KU); IntechOpen Engineering 2019 - 2021
        Number
        105984
        Language
        English
        Show full item record
        Abstract
        Modern and larger horizontal-axis wind turbines with power capacity reaching 15 MW and rotors of more than 235-meter diameter are under continuous development for the merit of minimizing the unit cost of energy production (total annual cost/annual energy produced). Such valuable advances in this competitive source of clean energy have made numerous research contributions in developing wind industry technologies worldwide. This book provides important information on the optimum design of wind energy conversion systems (WECS) with a comprehensive and self-contained handling of design fundamentals of wind turbines. Section I deals with optimal production of energy, multi-disciplinary optimization of wind turbines, aerodynamic and structural dynamic optimization and aeroelasticity of the rotating blades. Section II considers operational monitoring, reliability and optimal control of wind turbine components.
        URI
        https://library.oapen.org/handle/20.500.12657/43839
        Keywords
        Technology & Engineering; Environmental; General
        DOI
        http://dx.doi.org/10.5772/intechopen.82111
        ISBN
        9781838803292
        Publisher
        InTechOpen
        Publisher website
        https://www.intechopen.com/
        Publication date and place
        2020
        Grantor
        • Knowledge Unlatched
        Imprint
        IntechOpen
        Classification
        Environmental science, engineering and technology
        Rights
        https://creativecommons.org/licenses/by-nc/4.0/legalcode
        • Harvested from KU

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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