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    Evaluating the Accuracy of RANS Wind Flow Modeling Over Forested Terrain—Part 1: Canopy Model Validation

    Source: Journal of Solar Energy Engineering:;2019:;volume( 141 ):;issue: 004::page 41009
    Author:
    Morales Garza, Viridiana G.
    ,
    Sumner, Jonathon
    ,
    Nathan, Jörn
    ,
    Masson, Christian
    DOI: 10.1115/1.4042242
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study uses the Reynolds-averaged Navier–Stokes (RANS) equations to validate a canopy model by computing a fully developed wind flow within and above a horizontally homogeneous dense forest as in the work of Dalpé and Masson. The model is paired with a modified k–ε turbulence closure. A set of boundary conditions (BCs) that rely on the law of the wall for a sustainable atmospheric boundary layer (ABL) is used. All simulations are conducted in the open source software OpenFOAM v.2.4.0 (OpenCFD Ltd (ESI Group)). Two practical aspects are considered in the validation process. First, an accurate leaf area index (LAI) integration to exactly fit the wind shear is evaluated. Since the physical foliage parameters may not be accessible for all type of forests, a generic leaf area density α distribution is tested. The results of this test show that a generic distribution is sufficient for preliminary analyses to improve accuracy of wind flow predictions over forested terrain. Second, the approach of Dalpé and Masson is limited to cyclic BCs which are not practical for real sites. For cases without cyclic BCs, imposing a proper slope on the inlet velocity profile is of high importance. This condition can be achieved through adjustment of the roughness length at the inlet.
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      Evaluating the Accuracy of RANS Wind Flow Modeling Over Forested Terrain—Part 1: Canopy Model Validation

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4255901
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    contributor authorMorales Garza, Viridiana G.
    contributor authorSumner, Jonathon
    contributor authorNathan, Jörn
    contributor authorMasson, Christian
    date accessioned2019-03-17T10:05:27Z
    date available2019-03-17T10:05:27Z
    date copyright2/19/2019 12:00:00 AM
    date issued2019
    identifier issn0199-6231
    identifier othersol_141_04_041009.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4255901
    description abstractThis study uses the Reynolds-averaged Navier–Stokes (RANS) equations to validate a canopy model by computing a fully developed wind flow within and above a horizontally homogeneous dense forest as in the work of Dalpé and Masson. The model is paired with a modified k–ε turbulence closure. A set of boundary conditions (BCs) that rely on the law of the wall for a sustainable atmospheric boundary layer (ABL) is used. All simulations are conducted in the open source software OpenFOAM v.2.4.0 (OpenCFD Ltd (ESI Group)). Two practical aspects are considered in the validation process. First, an accurate leaf area index (LAI) integration to exactly fit the wind shear is evaluated. Since the physical foliage parameters may not be accessible for all type of forests, a generic leaf area density α distribution is tested. The results of this test show that a generic distribution is sufficient for preliminary analyses to improve accuracy of wind flow predictions over forested terrain. Second, the approach of Dalpé and Masson is limited to cyclic BCs which are not practical for real sites. For cases without cyclic BCs, imposing a proper slope on the inlet velocity profile is of high importance. This condition can be achieved through adjustment of the roughness length at the inlet.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEvaluating the Accuracy of RANS Wind Flow Modeling Over Forested Terrain—Part 1: Canopy Model Validation
    typeJournal Paper
    journal volume141
    journal issue4
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.4042242
    journal fristpage41009
    journal lastpage041009-10
    treeJournal of Solar Energy Engineering:;2019:;volume( 141 ):;issue: 004
    contenttypeFulltext
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