YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Bulletin of the American Meteorological Society
    • View Item
    •   YE&T Library
    • AMS
    • Bulletin of the American Meteorological Society
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    On Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy

    Source: Bulletin of the American Meteorological Society:;2020:;volume( 100 ):;issue: 012::page 2533
    Author:
    Haupt, Sue Ellen;Kosovic, Branko;Shaw, William;Berg, Larry K.;Churchfield, Matthew;Cline, Joel;Draxl, Caroline;Ennis, Brandon;Koo, Eunmo;Kotamarthi, Rao;Mazzaro, Laura;Mirocha, Jeffrey;Moriarty, Patrick;Muñoz-Esparza, Domingo;Quon, Eliot;Rai, Raj K.;Robinson, Michael;Sever, Gokhan
    DOI: 10.1175/BAMS-D-18-0033.1
    Publisher: American Meteorological Society
    Abstract: Accurately representing flow across the mesoscale to the microscale is a persistent roadblock for completing realistic microscale simulations. The science challenges that must be addressed to coupling at these scales include the following: 1) What is necessary to capture the variability of the mesoscale flow, and how do we avoid generating spurious rolls within the terra incognita between the scales? 2) Which methods effectively couple the mesoscale to the microscale and capture the correct nonstationary features at the microscale? 3) What are the best methods to initialize turbulence at the microscale? 4) What is the best way to handle the surface-layer parameterizations consistently at the mesoscale and the microscale? 5) How do we assess the impact of improvements in each of these aspects and quantify the uncertainty in the simulations? The U.S. Department of Energy Mesoscale-to-Microscale-Coupling project seeks to develop, verify, and validate physical models and modeling techniques that bridge the most important atmospheric scales determining wind plant performance and reliability, which impacts many meteorological applications. The approach begins with choosing case days that are interesting for wind energy for which there are observational data for validation. The team has focused on modeling nonstationary conditions for both flat and complex terrain. This paper describes the approaches taken to answer the science challenges, culminating in recommendations for best approaches for coupled modeling.
    • Download: (11.29Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      On Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4264290
    Collections
    • Bulletin of the American Meteorological Society

    Show full item record

    contributor authorHaupt, Sue Ellen;Kosovic, Branko;Shaw, William;Berg, Larry K.;Churchfield, Matthew;Cline, Joel;Draxl, Caroline;Ennis, Brandon;Koo, Eunmo;Kotamarthi, Rao;Mazzaro, Laura;Mirocha, Jeffrey;Moriarty, Patrick;Muñoz-Esparza, Domingo;Quon, Eliot;Rai, Raj K.;Robinson, Michael;Sever, Gokhan
    date accessioned2022-01-30T17:58:44Z
    date available2022-01-30T17:58:44Z
    date copyright1/7/2020 12:00:00 AM
    date issued2020
    identifier issn0003-0007
    identifier otherbams-d-18-0033_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264290
    description abstractAccurately representing flow across the mesoscale to the microscale is a persistent roadblock for completing realistic microscale simulations. The science challenges that must be addressed to coupling at these scales include the following: 1) What is necessary to capture the variability of the mesoscale flow, and how do we avoid generating spurious rolls within the terra incognita between the scales? 2) Which methods effectively couple the mesoscale to the microscale and capture the correct nonstationary features at the microscale? 3) What are the best methods to initialize turbulence at the microscale? 4) What is the best way to handle the surface-layer parameterizations consistently at the mesoscale and the microscale? 5) How do we assess the impact of improvements in each of these aspects and quantify the uncertainty in the simulations? The U.S. Department of Energy Mesoscale-to-Microscale-Coupling project seeks to develop, verify, and validate physical models and modeling techniques that bridge the most important atmospheric scales determining wind plant performance and reliability, which impacts many meteorological applications. The approach begins with choosing case days that are interesting for wind energy for which there are observational data for validation. The team has focused on modeling nonstationary conditions for both flat and complex terrain. This paper describes the approaches taken to answer the science challenges, culminating in recommendations for best approaches for coupled modeling.
    publisherAmerican Meteorological Society
    titleOn Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy
    typeJournal Paper
    journal volume100
    journal issue12
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/BAMS-D-18-0033.1
    journal fristpage2533
    journal lastpage2550
    treeBulletin of the American Meteorological Society:;2020:;volume( 100 ):;issue: 012
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian