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    Robust Design of Horizontal Axis Wind Turbines Using Taguchi Method

    Source: Journal of Mechanical Design:;2011:;volume( 133 ):;issue: 011::page 111009
    Author:
    Yi Hu
    ,
    Singiresu S. Rao
    DOI: 10.1115/1.4004989
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The robust design of horizontal axis wind turbines, including both parameter design and tolerance design, is presented. A simple way of designing robust horizontal axis wind turbine systems under realistic conditions is outlined with multiple design parameters (variables), multiple objectives, and multiple constraints simultaneously by using the traditional Taguchi method and its extensions. The performance of the turbines is predicted using the axial momentum theory and the blade element momentum theory. In the parameter design stage, the energy output of the turbine is maximized using the Taguchi method and an extended penalty-based Taguchi method is proposed to solve constrained parameter design problems. The results of the unconstrained and constrained parameter design problems, in terms of the objective function and constraints are compared. Using an appropriate set of tolerance settings of the parameters, the tolerance design problem is formulated so as to yield an economical design, while ensuring a minimal variability in the performance of the wind turbine. The resulting multi-objective tolerance design problem is solved using the traditional Taguchi method. The present work provides a simple and economical approach for the robust optimal design of horizontal axis wind turbines.
    keyword(s): Design , Taguchi methods , Blades , Horizontal axis wind turbines AND Wind velocity ,
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      Robust Design of Horizontal Axis Wind Turbines Using Taguchi Method

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/146965
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    contributor authorYi Hu
    contributor authorSingiresu S. Rao
    date accessioned2017-05-09T00:45:39Z
    date available2017-05-09T00:45:39Z
    date copyrightNovember, 2011
    date issued2011
    identifier issn1050-0472
    identifier otherJMDEDB-27955#111009_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/146965
    description abstractThe robust design of horizontal axis wind turbines, including both parameter design and tolerance design, is presented. A simple way of designing robust horizontal axis wind turbine systems under realistic conditions is outlined with multiple design parameters (variables), multiple objectives, and multiple constraints simultaneously by using the traditional Taguchi method and its extensions. The performance of the turbines is predicted using the axial momentum theory and the blade element momentum theory. In the parameter design stage, the energy output of the turbine is maximized using the Taguchi method and an extended penalty-based Taguchi method is proposed to solve constrained parameter design problems. The results of the unconstrained and constrained parameter design problems, in terms of the objective function and constraints are compared. Using an appropriate set of tolerance settings of the parameters, the tolerance design problem is formulated so as to yield an economical design, while ensuring a minimal variability in the performance of the wind turbine. The resulting multi-objective tolerance design problem is solved using the traditional Taguchi method. The present work provides a simple and economical approach for the robust optimal design of horizontal axis wind turbines.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRobust Design of Horizontal Axis Wind Turbines Using Taguchi Method
    typeJournal Paper
    journal volume133
    journal issue11
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.4004989
    journal fristpage111009
    identifier eissn1528-9001
    keywordsDesign
    keywordsTaguchi methods
    keywordsBlades
    keywordsHorizontal axis wind turbines AND Wind velocity
    treeJournal of Mechanical Design:;2011:;volume( 133 ):;issue: 011
    contenttypeFulltext
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