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    Microscale Computational Fluid Dynamics Simulation for Wind Mapping Over Complex Topographic Terrains

    Source: Journal of Solar Energy Engineering:;2013:;volume( 135 ):;issue: 004::page 41005
    Author:
    Rasouli, Ashkan
    ,
    Hangan, Horia
    DOI: 10.1115/1.4024124
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Wind mapping is of utmost importance in various wind energy and wind engineering applications. The available wind atlases usually provide wind data with low spatial resolution relative to the wind turbine height and usually neglect the effect of topographic features with relatively large or sudden changes in elevation. Two benchmark cases are studied for computational fluid dynamics (CFD) model evaluation on smooth twodimensional (2D) and threedimensional (3D) hills. Thereafter, a procedure is introduced to build CFD model of a complex terrain with high terrain roughness heights (dense urban area with skyscrapers) starting from existing topography maps in order to properly extend the wind atlas data over complex terrains. CFD simulations are carried out on a 1:3000 scale model of complex topographic area using Reynolds averaged Navier–Stokes (RANS) equations along with shear stress transport (SST) kد‰ turbulence model and the results are compared with the wind tunnel measurements on the same model. The study shows that CFD simulations can be successfully used in qualifying and quantifying the flow over complex topography consisting of a wide range of roughness heights, enabling to map the flow structure with very high spatial resolution.
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      Microscale Computational Fluid Dynamics Simulation for Wind Mapping Over Complex Topographic Terrains

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/153204
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    • Journal of Solar Energy Engineering

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    contributor authorRasouli, Ashkan
    contributor authorHangan, Horia
    date accessioned2017-05-09T01:02:43Z
    date available2017-05-09T01:02:43Z
    date issued2013
    identifier issn0199-6231
    identifier othersol_135_04_041005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/153204
    description abstractWind mapping is of utmost importance in various wind energy and wind engineering applications. The available wind atlases usually provide wind data with low spatial resolution relative to the wind turbine height and usually neglect the effect of topographic features with relatively large or sudden changes in elevation. Two benchmark cases are studied for computational fluid dynamics (CFD) model evaluation on smooth twodimensional (2D) and threedimensional (3D) hills. Thereafter, a procedure is introduced to build CFD model of a complex terrain with high terrain roughness heights (dense urban area with skyscrapers) starting from existing topography maps in order to properly extend the wind atlas data over complex terrains. CFD simulations are carried out on a 1:3000 scale model of complex topographic area using Reynolds averaged Navier–Stokes (RANS) equations along with shear stress transport (SST) kد‰ turbulence model and the results are compared with the wind tunnel measurements on the same model. The study shows that CFD simulations can be successfully used in qualifying and quantifying the flow over complex topography consisting of a wide range of roughness heights, enabling to map the flow structure with very high spatial resolution.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMicroscale Computational Fluid Dynamics Simulation for Wind Mapping Over Complex Topographic Terrains
    typeJournal Paper
    journal volume135
    journal issue4
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.4024124
    journal fristpage41005
    journal lastpage41005
    identifier eissn1528-8986
    treeJournal of Solar Energy Engineering:;2013:;volume( 135 ):;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