Performance of RANS, URANS and LES in the prediction of airflow and pollutant dispersion

Salim Mohamed Salim (Lead / Corresponding author), Kian Chuan Ong

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    The performance of 3 different CFD numerical approaches, namely RANS, URANS and LES are evaluated to determine their suitability in the prediction of airflow and pollutant dispersion in urban street canyons. Numerical results are evaluated against wind tunnel experimental data available from an online database (www.codasc.de). LES was observed to produce more accurate and reliable results compared to both RANS approaches, because LES resolves the inherent fluctuations, thus capturing the turbulent mixing process in the flow field within the canyon. Although URANS also computes for transience, it fails to account for unsteadiness, and hence is not an appropriate replacement for LES.

    Original languageEnglish
    Title of host publicationLecture Notes in Electrical Engineering
    Pages263-274
    Number of pages12
    Volume170 LNEE
    DOIs
    Publication statusPublished - 2013
    EventWorld Congress on Engineering and Computer Science, WCES 2011 - San Francisco, CA, United States
    Duration: 19 Oct 201121 Oct 2011
    http://www.iaeng.org/WCECS2011/

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume170 LNEE
    ISSN (Print)18761100
    ISSN (Electronic)18761119

    Conference

    ConferenceWorld Congress on Engineering and Computer Science, WCES 2011
    CountryUnited States
    CitySan Francisco, CA
    Period19/10/1121/10/11
    Internet address

    Keywords

    • Air pollution
    • CFD
    • LES
    • RANS
    • URANS
    • Urban street canyon

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  • Cite this

    Salim, S. M., & Ong, K. C. (2013). Performance of RANS, URANS and LES in the prediction of airflow and pollutant dispersion. In Lecture Notes in Electrical Engineering (Vol. 170 LNEE, pp. 263-274). (Lecture Notes in Electrical Engineering; Vol. 170 LNEE). https://doi.org/10.1007/978-94-007-4786-9_21