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    k‐ϵ Model for the Atmospheric Boundary Layer Under Various Thermal Stratifications

    Source: Journal of Solar Energy Engineering:;2005:;volume( 127 ):;issue: 004::page 438
    Author:
    Cédric Alinot
    ,
    Christian Masson
    DOI: 10.1115/1.2035704
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a numerical method for predicting the atmospheric boundary layer under stable, neutral, or unstable thermal stratifications. The flow field is described by the Reynolds’ averaged Navier-Stokes equations complemented by the k‐ϵ turbulence model. Density variations are introduced into the momentum equation using the Boussinesq approximation, and appropriate buoyancy terms are included in the k and ϵ equations. An original expression for the closure coefficient related to the buoyancy production term is proposed in order to improve the accuracy of the simulations. The resulting mathematical model has been implemented in FLUENT . The results presented in this paper include comparisons with respect to the Monin-Obukhov similarity theory, measurements, and earlier numerical solutions based on k‐ϵ turbulence models available in the literature. It is shown that the proposed version of the k‐ϵ model significantly improves the accuracy of the simulations for the stable atmospheric boundary layer. In neutral and unstable thermal stratifications, it is shown that the version of the k‐ϵ models available in the literature also produce accurate simulations.
    keyword(s): Flow (Dynamics) , Turbulence , Boundary layers , Equations AND Engineering simulation ,
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      k‐ϵ Model for the Atmospheric Boundary Layer Under Various Thermal Stratifications

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    https://yetl.yabesh.ir/yetl1/handle/yetl/132552
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    contributor authorCédric Alinot
    contributor authorChristian Masson
    date accessioned2017-05-09T00:17:39Z
    date available2017-05-09T00:17:39Z
    date copyrightNovember, 2005
    date issued2005
    identifier issn0199-6231
    identifier otherJSEEDO-28381#438_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132552
    description abstractThis paper presents a numerical method for predicting the atmospheric boundary layer under stable, neutral, or unstable thermal stratifications. The flow field is described by the Reynolds’ averaged Navier-Stokes equations complemented by the k‐ϵ turbulence model. Density variations are introduced into the momentum equation using the Boussinesq approximation, and appropriate buoyancy terms are included in the k and ϵ equations. An original expression for the closure coefficient related to the buoyancy production term is proposed in order to improve the accuracy of the simulations. The resulting mathematical model has been implemented in FLUENT . The results presented in this paper include comparisons with respect to the Monin-Obukhov similarity theory, measurements, and earlier numerical solutions based on k‐ϵ turbulence models available in the literature. It is shown that the proposed version of the k‐ϵ model significantly improves the accuracy of the simulations for the stable atmospheric boundary layer. In neutral and unstable thermal stratifications, it is shown that the version of the k‐ϵ models available in the literature also produce accurate simulations.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlek‐ϵ Model for the Atmospheric Boundary Layer Under Various Thermal Stratifications
    typeJournal Paper
    journal volume127
    journal issue4
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.2035704
    journal fristpage438
    journal lastpage443
    identifier eissn1528-8986
    keywordsFlow (Dynamics)
    keywordsTurbulence
    keywordsBoundary layers
    keywordsEquations AND Engineering simulation
    treeJournal of Solar Energy Engineering:;2005:;volume( 127 ):;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