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    Reduced Order Modeling of Torque on a Vertical Axis Wind Turbine at Varying Tip Speed Ratios

    Source: Journal of Computational and Nonlinear Dynamics:;2015:;volume( 010 ):;issue: 004::page 41012
    Author:
    Khalid, Muhammad Saif Ullah
    ,
    Rabbani, Tariq
    ,
    Akhtar, Imran
    ,
    Durrani, Naveed
    ,
    Salman Siddiqui, M.
    DOI: 10.1115/1.4028064
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Verticalaxis wind turbine (VAWT) has received significant attention due to its application in urban environment. Torque produced by VAWT determines its efficiency and power output. In this paper, we develop a reducedorder model of torque VAWT at different tip speed ratios (TSR). We numerically simulate both 2D and 3D flows past a threebladed Darrieus Htype VAWT and compute overall torque acting on the turbine. We then perform higherorder spectral analysis to identify dominant frequencies and nonlinear couplings. We propose a reducedorder model of torque in the form of modified van der Pol equation with additional quadratic term to allow for even harmonics in addition to odd harmonics present in the system. Using, a perturbation approach of method of multiple scales, we solve the proposed model and compute the coefficients at different TSR. The model not only predicts torque accurately in time domain but also in spectral domain. These reducedorder models provide an accurate and computationally efficient means to predict overall performance and output of the turbine with varying freestream conditions even in predictive setting.
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      Reduced Order Modeling of Torque on a Vertical Axis Wind Turbine at Varying Tip Speed Ratios

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    http://yetl.yabesh.ir/yetl1/handle/yetl/157308
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    • Journal of Computational and Nonlinear Dynamics

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    contributor authorKhalid, Muhammad Saif Ullah
    contributor authorRabbani, Tariq
    contributor authorAkhtar, Imran
    contributor authorDurrani, Naveed
    contributor authorSalman Siddiqui, M.
    date accessioned2017-05-09T01:15:46Z
    date available2017-05-09T01:15:46Z
    date issued2015
    identifier issn1555-1415
    identifier othercnd_010_04_041012.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157308
    description abstractVerticalaxis wind turbine (VAWT) has received significant attention due to its application in urban environment. Torque produced by VAWT determines its efficiency and power output. In this paper, we develop a reducedorder model of torque VAWT at different tip speed ratios (TSR). We numerically simulate both 2D and 3D flows past a threebladed Darrieus Htype VAWT and compute overall torque acting on the turbine. We then perform higherorder spectral analysis to identify dominant frequencies and nonlinear couplings. We propose a reducedorder model of torque in the form of modified van der Pol equation with additional quadratic term to allow for even harmonics in addition to odd harmonics present in the system. Using, a perturbation approach of method of multiple scales, we solve the proposed model and compute the coefficients at different TSR. The model not only predicts torque accurately in time domain but also in spectral domain. These reducedorder models provide an accurate and computationally efficient means to predict overall performance and output of the turbine with varying freestream conditions even in predictive setting.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleReduced Order Modeling of Torque on a Vertical Axis Wind Turbine at Varying Tip Speed Ratios
    typeJournal Paper
    journal volume10
    journal issue4
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4028064
    journal fristpage41012
    journal lastpage41012
    identifier eissn1555-1423
    treeJournal of Computational and Nonlinear Dynamics:;2015:;volume( 010 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian