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

Salim Mohamed Salim; Kian Chuan Ong

doi:10.1007/978-94-007-4786-9_21

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 proceeding › Conference contribution

27 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 language	English
Title of host publication	Lecture Notes in Electrical Engineering
Pages	263-274
Number of pages	12
Volume	170 LNEE
DOIs	https://doi.org/10.1007/978-94-007-4786-9_21
Publication status	Published - 2013
Event	World Congress on Engineering and Computer Science, WCES 2011 - San Francisco, CA, United States Duration: 19 Oct 2011 → 21 Oct 2011 http://www.iaeng.org/WCECS2011/

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	170 LNEE
ISSN (Print)	18761100
ISSN (Electronic)	18761119

Conference

Conference	World Congress on Engineering and Computer Science, WCES 2011
Country/Territory	United States
City	San Francisco, CA
Period	19/10/11 → 21/10/11
Internet address	http://www.iaeng.org/WCECS2011/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Air pollution
CFD
LES
RANS
URANS
Urban street canyon

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-94-007-4786-9_21

Cite this

@inproceedings{f21197201e124cb68b64bfbe5bb916f4,

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

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.",

keywords = "Air pollution, CFD, LES, RANS, URANS, Urban street canyon",

author = "Salim, \{Salim Mohamed\} and Ong, \{Kian Chuan\}",

year = "2013",

doi = "10.1007/978-94-007-4786-9\_21",

language = "English",

isbn = "9789400747852",

volume = "170 LNEE",

series = "Lecture Notes in Electrical Engineering",

pages = "263--274",

booktitle = "Lecture Notes in Electrical Engineering",

note = "World Congress on Engineering and Computer Science, WCES 2011 ; Conference date: 19-10-2011 Through 21-10-2011",

url = "http://www.iaeng.org/WCECS2011/",

}

Salim, SM & Ong, KC 2013, Performance of RANS, URANS and LES in the prediction of airflow and pollutant dispersion. in Lecture Notes in Electrical Engineering. vol. 170 LNEE, Lecture Notes in Electrical Engineering, vol. 170 LNEE, pp. 263-274, World Congress on Engineering and Computer Science, WCES 2011, San Francisco, CA, United States, 19/10/11. https://doi.org/10.1007/978-94-007-4786-9_21

Performance of RANS, URANS and LES in the prediction of airflow and pollutant dispersion. / Salim, Salim Mohamed (Lead / Corresponding author); Ong, Kian Chuan.
Lecture Notes in Electrical Engineering. Vol. 170 LNEE 2013. p. 263-274 (Lecture Notes in Electrical Engineering; Vol. 170 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Performance of RANS, URANS and LES in the prediction of airflow and pollutant dispersion

AU - Salim, Salim Mohamed

AU - Ong, Kian Chuan

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Air pollution

KW - CFD

KW - LES

KW - RANS

KW - URANS

KW - Urban street canyon

UR - https://www.scopus.com/pages/publications/84867126699

U2 - 10.1007/978-94-007-4786-9_21

DO - 10.1007/978-94-007-4786-9_21

M3 - Conference contribution

AN - SCOPUS:84867126699

SN - 9789400747852

VL - 170 LNEE

T3 - Lecture Notes in Electrical Engineering

SP - 263

EP - 274

BT - Lecture Notes in Electrical Engineering

T2 - World Congress on Engineering and Computer Science, WCES 2011

Y2 - 19 October 2011 through 21 October 2011

ER -

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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this