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Article: Prediction of transient turbulent dispersion by CFD-statistical hybrid modeling method

TitlePrediction of transient turbulent dispersion by CFD-statistical hybrid modeling method
Authors
KeywordsComputational fluid dynamics (CFD)
k-ε turbulence model
Particle transport
Statistical method
Transient turbulent dispersion
Issue Date2005
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/atmosenv
Citation
Atmospheric Environment, 2005, v. 39 n. 34, p. 6345-6351 How to Cite?
AbstractThe transient turbulent dispersion of a gaseous contaminant due to accidental leakage or similar critical situation can be studied by computational fluid dynamics (CFD). However, the transient CFD calculation is extremely computationally expensive because highly refined spatial and temporal resolutions are required for accurate results. In this investigation, a CFD-statistical hybrid modeling method was developed to solve the transient turbulent dispersion problem with a substantial computation time-saving. The computational domain of this modeling problem consists of a point source emitting gaseous contaminant and a fixed-point receptor susceptible to the contaminant dispersed in a steady-state turbulent flow field. In the modeling method, CFD is utilized to obtain the transport behavior of an emitted ultra-fine particle that conceptually represents a "microscopic" molecule of a vapor emission. In turn, the principles of statistics are employed to determine the most probable "macroscopic" time-dependent contaminant concentration at the receptor for a given time-varying point-source emission profile. In a case study, the results predicted by the CFD-statistical model agreed reasonably well with published k-ε modeling results and experimental data. The computation time was successfully reduced by one order of magnitude. © 2005 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/76131
ISSN
2015 Impact Factor: 3.459
2015 SCImago Journal Rankings: 1.999
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLeung, MKHen_HK
dc.contributor.authorLiu, CHen_HK
dc.contributor.authorChan, AHSen_HK
dc.contributor.authorLeung, DYCen_HK
dc.contributor.authorYam, WCen_HK
dc.contributor.authorNg, SPen_HK
dc.contributor.authorVrijmoed, LLPen_HK
dc.date.accessioned2010-09-06T07:17:56Z-
dc.date.available2010-09-06T07:17:56Z-
dc.date.issued2005en_HK
dc.identifier.citationAtmospheric Environment, 2005, v. 39 n. 34, p. 6345-6351en_HK
dc.identifier.issn1352-2310en_HK
dc.identifier.urihttp://hdl.handle.net/10722/76131-
dc.description.abstractThe transient turbulent dispersion of a gaseous contaminant due to accidental leakage or similar critical situation can be studied by computational fluid dynamics (CFD). However, the transient CFD calculation is extremely computationally expensive because highly refined spatial and temporal resolutions are required for accurate results. In this investigation, a CFD-statistical hybrid modeling method was developed to solve the transient turbulent dispersion problem with a substantial computation time-saving. The computational domain of this modeling problem consists of a point source emitting gaseous contaminant and a fixed-point receptor susceptible to the contaminant dispersed in a steady-state turbulent flow field. In the modeling method, CFD is utilized to obtain the transport behavior of an emitted ultra-fine particle that conceptually represents a "microscopic" molecule of a vapor emission. In turn, the principles of statistics are employed to determine the most probable "macroscopic" time-dependent contaminant concentration at the receptor for a given time-varying point-source emission profile. In a case study, the results predicted by the CFD-statistical model agreed reasonably well with published k-ε modeling results and experimental data. The computation time was successfully reduced by one order of magnitude. © 2005 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/atmosenven_HK
dc.relation.ispartofAtmospheric Environmenten_HK
dc.subjectComputational fluid dynamics (CFD)en_HK
dc.subjectk-ε turbulence modelen_HK
dc.subjectParticle transporten_HK
dc.subjectStatistical methoden_HK
dc.subjectTransient turbulent dispersionen_HK
dc.titlePrediction of transient turbulent dispersion by CFD-statistical hybrid modeling methoden_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1352-2310&volume=39&spage=6345&epage=6351&date=2005&atitle=Prediction+of+transient+turbulent+dispersion+by+CFD-statistical+hybrid+modeling+methoden_HK
dc.identifier.emailLeung, MKH:en_HK
dc.identifier.emailLiu, CH: chliu@hkucc.hku.hken_HK
dc.identifier.emailLeung, DYC: ycleung@hku.hken_HK
dc.identifier.emailYam, WC: wcyam@hkucc.hku.hken_HK
dc.identifier.authorityLeung, MKH=rp00148en_HK
dc.identifier.authorityLiu, CH=rp00152en_HK
dc.identifier.authorityLeung, DYC=rp00149en_HK
dc.identifier.authorityYam, WC=rp00313en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.atmosenv.2005.07.015en_HK
dc.identifier.scopuseid_2-s2.0-26044482411en_HK
dc.identifier.hkuros117386en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-26044482411&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume39en_HK
dc.identifier.issue34en_HK
dc.identifier.spage6345en_HK
dc.identifier.epage6351en_HK
dc.identifier.isiWOS:000233065300010-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridLeung, MKH=8862966600en_HK
dc.identifier.scopusauthoridLiu, CH=36065161300en_HK
dc.identifier.scopusauthoridChan, AHS=7403168371en_HK
dc.identifier.scopusauthoridLeung, DYC=7203002484en_HK
dc.identifier.scopusauthoridYam, WC=7004281720en_HK
dc.identifier.scopusauthoridNg, SP=8862966400en_HK
dc.identifier.scopusauthoridVrijmoed, LLP=7003337180en_HK

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