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Evaluation of fast ...
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Dai, TingTianjin Univ, Sch Environm Sci & Engn, Tianjin Key Lab Indoor Air Environm Qual Control, Tianjin 300072, Peoples R China.
(författare)
Evaluation of fast fluid dynamics with different turbulence models for predicting outdoor airflow and pollutant dispersion
- Artikel/kapitelEngelska2022
Förlag, utgivningsår, omfång ...
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Elsevier BV,2022
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printrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:kth-311519
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-311519URI
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https://doi.org/10.1016/j.scs.2021.103583DOI
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Språk:engelska
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Sammanfattning på:engelska
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Klassifikation
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
Anmärkningar
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QC 20220503
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Fast fluid dynamics (FFD) could provide informative and efficient airflow and concentration simulation. The commonly used turbulence model in FFD was Re-Normalization Group (RNG) k-epsilon turbulence model which solved two transport equations to obtain eddy viscosity. To reduce this part of time and further improve computing speed, this investigation implemented no turbulence model, Smagorinsky model and dynamic Smagorinsky model which calculated eddy viscosity without solving equation in FFD in an open-source program, OpenFOAM. By simulating several outdoor cases of varying complexity and comparing with experiment and CFD, this study assessed the accuracy and computing efficiency of FFD with four turbulence models. Compared with CFD, FFD greatly improved the computing speed without reducing accuracy. The simulation of FFD without turbulence model was fast but inaccurate. FFD with Smagorinsky model increased the computing speed while ensuring the same accuracy as RNG k-epsilon turbulence model. FFD with dynamic Smagorinsky model provided accurate results with high efficiency. Computation errors arose mainly from inaccurate prediction of turbulence dispersion. The computing cost was associated with the number of transport equations and calculation method of model coefficient. This investigation recommended the use of FFD with dynamic Smagorinsky model for outdoor airflow and pollutant dispersion studies.
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Biuppslag (personer, institutioner, konferenser, titlar ...)
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Liu, SumeiTianjin Univ, Sch Environm Sci & Engn, Tianjin Key Lab Indoor Air Environm Qual Control, Tianjin 300072, Peoples R China.
(författare)
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Liu, JunjieTianjin Univ, Sch Environm Sci & Engn, Tianjin Key Lab Indoor Air Environm Qual Control, Tianjin 300072, Peoples R China.
(författare)
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Jiang, NanTianjin Univ, Sch Mech Engn, Tianjin 300072, Peoples R China.
(författare)
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Liu, Wei,Assistant Professor,1987-KTH,Hållbara byggnader(Swepub:kth)u1ncj7ru
(författare)
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Chen, QingyanHong Kong Polytech Univ, Dept Bldg Environm & Energy Engn, Kowloon, Hong Kong 999077, Peoples R China.
(författare)
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Tianjin Univ, Sch Environm Sci & Engn, Tianjin Key Lab Indoor Air Environm Qual Control, Tianjin 300072, Peoples R China.Tianjin Univ, Sch Mech Engn, Tianjin 300072, Peoples R China.
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Sustainable cities and society: Elsevier BV77, s. 103583-2210-6707
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