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Article: Macroscopic simulations of turbulent flows through high-rise building arrays using a porous turbulence model

TitleMacroscopic simulations of turbulent flows through high-rise building arrays using a porous turbulence model
Authors
KeywordsAir volumes
Building array
Building height
Computational loads
Computational requirements
Issue Date2012
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/buildenv
Citation
Building and Environment, 2012, v. 49 n. 1, p. 41-54 How to Cite?
AbstractWind flowing through urban areas may help diluting pollutants in street networks. General microscopic numerical techniques have difficulty in simulating wind through city-scale urban areas with thousands of buildings because the required computational load is difficult to afford. We considered urban canopy layers with buildings and street networks as porous media and used a porous turbulence model to macroscopically study urban airflows. High-rise porous building arrays with uniform building heights or building height variations were studied (building height/street width, i.e. H/W = 2 or 2.67; the porosity or the fraction of air volume in urban areas is = 0.75). A single domain approach was used to account for the interface conditions. Microscopic simulations using RANS k-e{open} turbulence model and validated by wind tunnel data were also carried out to model the form drag produced by buildings and calculate spatially-averaged flow quantities to estimate macroscopic simulation results using the porous turbulence model. Results showed that, with a parallel approaching wind, the present porous turbulence model may predict macroscopic mean flows through porous building array generally well if suitable porous parameters are modelled, meanwhile, some microscopic flow information is lost but the computational requirements are effectively reduced. With a power-law approaching wind, a taller porous building array may experience greater macroscopic velocity if the length of porous region is effectively limited. Further investigations are still required to evaluate macroscopic turbulence predictions and apply present porous turbulence model for real urban areas or cities with various wind directions. © 2011.
Persistent Identifierhttp://hdl.handle.net/10722/157150
ISSN
2014 Impact Factor: 3.341
2014 SCImago Journal Rankings: 1.871
ISI Accession Number ID
Funding AgencyGrant Number
University of Hong Kong on Initiative of Clean Energy for Environment
Funding Information:

The work in this paper is supported by a University Development Fund from the University of Hong Kong on Initiative of Clean Energy for Environment. The support from Prof Mats Sandberg in KTH research school, University of Gavle in wind tunnel measurements is highly acknowledged.

References

 

DC FieldValueLanguage
dc.contributor.authorHang, Jen_US
dc.contributor.authorLi, Yen_US
dc.date.accessioned2012-08-08T08:45:33Z-
dc.date.available2012-08-08T08:45:33Z-
dc.date.issued2012en_US
dc.identifier.citationBuilding and Environment, 2012, v. 49 n. 1, p. 41-54en_US
dc.identifier.issn0360-1323en_US
dc.identifier.urihttp://hdl.handle.net/10722/157150-
dc.description.abstractWind flowing through urban areas may help diluting pollutants in street networks. General microscopic numerical techniques have difficulty in simulating wind through city-scale urban areas with thousands of buildings because the required computational load is difficult to afford. We considered urban canopy layers with buildings and street networks as porous media and used a porous turbulence model to macroscopically study urban airflows. High-rise porous building arrays with uniform building heights or building height variations were studied (building height/street width, i.e. H/W = 2 or 2.67; the porosity or the fraction of air volume in urban areas is = 0.75). A single domain approach was used to account for the interface conditions. Microscopic simulations using RANS k-e{open} turbulence model and validated by wind tunnel data were also carried out to model the form drag produced by buildings and calculate spatially-averaged flow quantities to estimate macroscopic simulation results using the porous turbulence model. Results showed that, with a parallel approaching wind, the present porous turbulence model may predict macroscopic mean flows through porous building array generally well if suitable porous parameters are modelled, meanwhile, some microscopic flow information is lost but the computational requirements are effectively reduced. With a power-law approaching wind, a taller porous building array may experience greater macroscopic velocity if the length of porous region is effectively limited. Further investigations are still required to evaluate macroscopic turbulence predictions and apply present porous turbulence model for real urban areas or cities with various wind directions. © 2011.en_US
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/buildenven_US
dc.relation.ispartofBuilding and Environmenten_US
dc.subjectAir volumesen_US
dc.subjectBuilding arrayen_US
dc.subjectBuilding heighten_US
dc.subjectComputational loadsen_US
dc.subjectComputational requirementsen_US
dc.titleMacroscopic simulations of turbulent flows through high-rise building arrays using a porous turbulence modelen_US
dc.typeArticleen_US
dc.identifier.emailHang, J: hangjian@hku.hken_US
dc.identifier.emailLi, Y: liyg@hku.hk-
dc.identifier.authorityLi, Y=rp00151en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.buildenv.2011.09.013en_US
dc.identifier.scopuseid_2-s2.0-80054068185en_US
dc.identifier.hkuros205321-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80054068185&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume49en_US
dc.identifier.issue1en_US
dc.identifier.spage41en_US
dc.identifier.epage54en_US
dc.identifier.isiWOS:000298200600006-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridLi, Y=7502094052en_US
dc.identifier.scopusauthoridHang, J=35240092500en_US
dc.identifier.citeulike9834169-

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