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    Implementing Large-Eddy Simulation Capability in a Compressible Mesoscale Model

    Source: Monthly Weather Review:;2014:;volume( 142 ):;issue: 008::page 2733
    Author:
    Gasset, Nicolas
    ,
    Benoit, Robert
    ,
    Masson, Christian
    DOI: 10.1175/MWR-D-13-00257.1
    Publisher: American Meteorological Society
    Abstract: he large size of modern wind turbines and wind farms triggers processes above the surface layer, which extend to the junction between microscales and mesoscales, and pushes the limits of existing approaches to predict the wind. The main objectives of this study are thus to introduce and evaluate an approach that will better account for physical processes within the atmospheric boundary layer (ABL), and allow for both microscale and mesoscale modeling. The proposed method, in which mathematical model and main numerical aspects are presented, combines a mesoscale approach with a large-eddy simulation (LES) model based on the Compressible Community Mesoscale Model (MC2). It is evaluated relying on a shear-driven ABL case allowing the authors to assess the model behavior at very high resolution as well as more specific numerical aspects such as the vertical discretization and time and space splitting of turbulence-related terms. The proposed LES-capable mesoscale model is shown to perform on par with other similar reference LES models, while being slightly more dissipative. A new vertical discretization of the turbulent processes eliminates a spurious numerical mode in the solution. Finally, the splitting of horizontal and vertical turbulence-related terms is shown to have no impact on the results of the test cases. It is thus demonstrated that the revised MC2 is suitable at both microscales and mesoscales, thus setting a strong foundation for future work.
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      Implementing Large-Eddy Simulation Capability in a Compressible Mesoscale Model

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    contributor authorGasset, Nicolas
    contributor authorBenoit, Robert
    contributor authorMasson, Christian
    date accessioned2017-06-09T17:31:30Z
    date available2017-06-09T17:31:30Z
    date copyright2014/08/01
    date issued2014
    identifier issn0027-0644
    identifier otherams-86709.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230297
    description abstracthe large size of modern wind turbines and wind farms triggers processes above the surface layer, which extend to the junction between microscales and mesoscales, and pushes the limits of existing approaches to predict the wind. The main objectives of this study are thus to introduce and evaluate an approach that will better account for physical processes within the atmospheric boundary layer (ABL), and allow for both microscale and mesoscale modeling. The proposed method, in which mathematical model and main numerical aspects are presented, combines a mesoscale approach with a large-eddy simulation (LES) model based on the Compressible Community Mesoscale Model (MC2). It is evaluated relying on a shear-driven ABL case allowing the authors to assess the model behavior at very high resolution as well as more specific numerical aspects such as the vertical discretization and time and space splitting of turbulence-related terms. The proposed LES-capable mesoscale model is shown to perform on par with other similar reference LES models, while being slightly more dissipative. A new vertical discretization of the turbulent processes eliminates a spurious numerical mode in the solution. Finally, the splitting of horizontal and vertical turbulence-related terms is shown to have no impact on the results of the test cases. It is thus demonstrated that the revised MC2 is suitable at both microscales and mesoscales, thus setting a strong foundation for future work.
    publisherAmerican Meteorological Society
    titleImplementing Large-Eddy Simulation Capability in a Compressible Mesoscale Model
    typeJournal Paper
    journal volume142
    journal issue8
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-13-00257.1
    journal fristpage2733
    journal lastpage2750
    treeMonthly Weather Review:;2014:;volume( 142 ):;issue: 008
    contenttypeFulltext
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