Flow and dispersion in coupled outdoor and indoor environments: Issue of Reynolds number independence
The Reynolds number (Re) independence criteria for flow and dispersion around purely outdoor environments has been examined in many previous studies, but little attention has been paid to the coupled outdoor and indoor environments. This study investigated the Re independence criteria of flow and di...
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description | The Reynolds number (Re) independence criteria for flow and dispersion around purely outdoor environments has been examined in many previous studies, but little attention has been paid to the coupled outdoor and indoor environments. This study investigated the Re independence criteria of flow and dispersion in coupled outdoor and indoor environments using Computational Fluid Dynamics (CFD) with Large Eddy Simulation (LES) model. Two geometrical arrangements were considered, namely an isolated multi-story building, and an array of multi-story buildings. Four parameters including the non-dimensional air velocity, pollutant concentration, ventilation rate, and re-entry ratio were used to assess the Re independence criteria. The tracer gas decay method was used to predict the ventilation rate and to quantify the re-entry ratio for each room. Using the quantitative indicator, the deviation rate (DR), of the non-dimensional velocity below 5%, two sets of critical values were proposed: ReH based on the building height equal to 4.8×104 for the outdoor environment, and ReW based on the opening height equal to 1.4×104 for the indoor environment. The concentration field was more difficult to meet the Re-independent requirement. Using the DR of the non-dimensional concentration below 5%, the critical values were ReH=7.9×104 and ReW=3.0×104. If the DR was enlarged to 10%, the ReH and ReW criteria for the concentration field were the same as the velocity fields. For the non-dimensional ventilation rate and re-entry ratio, the critical value for the Re independence was ReW = 1.4×104 for both the isolated buildings and the building arrays.
•Two sets of criteria for achieving Re-independence proposed for coupled environments.•Re-independent issue investigated for both an isolated building and building arrays.•Four parameters — air velocity, pollutant concentration, ventilation rate and re-entry ratio —assessed.•Tracer gas decay method used to calculate ventilation rate and re-entry ratio.•Re–independence achieved for dimensionless ventilation rate and re-entry ratio. |
doi_str_mv | 10.1016/j.buildenv.2019.01.008 |
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•Two sets of criteria for achieving Re-independence proposed for coupled environments.•Re-independent issue investigated for both an isolated building and building arrays.•Four parameters — air velocity, pollutant concentration, ventilation rate and re-entry ratio —assessed.•Tracer gas decay method used to calculate ventilation rate and re-entry ratio.•Re–independence achieved for dimensionless ventilation rate and re-entry ratio.</description><identifier>ISSN: 0360-1323</identifier><identifier>EISSN: 1873-684X</identifier><identifier>DOI: 10.1016/j.buildenv.2019.01.008</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Aerodynamics ; Air pollution ; Buildings ; CFD simulation ; Computational fluid dynamics ; Computer applications ; Computer simulation ; Corporate governance ; Coupled outdoor and indoor environment ; Criteria ; Decay rate ; Dispersion ; Fluid dynamics ; Fluid flow ; Hydrodynamics ; Indoor air pollution ; Indoor environments ; Large eddy simulation ; Mathematical models ; Multistory buildings ; Natural ventilation ; Pollutant dispersion ; Pollutants ; Reynolds number ; Reynolds number independence criteria ; Tracer gas ; Velocity ; Velocity distribution ; Ventilation</subject><ispartof>Building and environment, 2019-03, Vol.150, p.119-134</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier BV Mar 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c493t-4b70f220105819bee43b34d8ad4b84177e2f7620207eb07f87f1e8271b39fd83</citedby><cites>FETCH-LOGICAL-c493t-4b70f220105819bee43b34d8ad4b84177e2f7620207eb07f87f1e8271b39fd83</cites><orcidid>0000-0003-2635-2170 ; 0000-0002-9510-2071</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.buildenv.2019.01.008$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Dai, Yuwei</creatorcontrib><creatorcontrib>Mak, Cheuk Ming</creatorcontrib><creatorcontrib>Ai, Zhengtao</creatorcontrib><title>Flow and dispersion in coupled outdoor and indoor environments: Issue of Reynolds number independence</title><title>Building and environment</title><description>The Reynolds number (Re) independence criteria for flow and dispersion around purely outdoor environments has been examined in many previous studies, but little attention has been paid to the coupled outdoor and indoor environments. This study investigated the Re independence criteria of flow and dispersion in coupled outdoor and indoor environments using Computational Fluid Dynamics (CFD) with Large Eddy Simulation (LES) model. Two geometrical arrangements were considered, namely an isolated multi-story building, and an array of multi-story buildings. Four parameters including the non-dimensional air velocity, pollutant concentration, ventilation rate, and re-entry ratio were used to assess the Re independence criteria. The tracer gas decay method was used to predict the ventilation rate and to quantify the re-entry ratio for each room. Using the quantitative indicator, the deviation rate (DR), of the non-dimensional velocity below 5%, two sets of critical values were proposed: ReH based on the building height equal to 4.8×104 for the outdoor environment, and ReW based on the opening height equal to 1.4×104 for the indoor environment. The concentration field was more difficult to meet the Re-independent requirement. Using the DR of the non-dimensional concentration below 5%, the critical values were ReH=7.9×104 and ReW=3.0×104. If the DR was enlarged to 10%, the ReH and ReW criteria for the concentration field were the same as the velocity fields. For the non-dimensional ventilation rate and re-entry ratio, the critical value for the Re independence was ReW = 1.4×104 for both the isolated buildings and the building arrays.
•Two sets of criteria for achieving Re-independence proposed for coupled environments.•Re-independent issue investigated for both an isolated building and building arrays.•Four parameters — air velocity, pollutant concentration, ventilation rate and re-entry ratio —assessed.•Tracer gas decay method used to calculate ventilation rate and re-entry ratio.•Re–independence achieved for dimensionless ventilation rate and re-entry ratio.</description><subject>Aerodynamics</subject><subject>Air pollution</subject><subject>Buildings</subject><subject>CFD simulation</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Computer simulation</subject><subject>Corporate governance</subject><subject>Coupled outdoor and indoor environment</subject><subject>Criteria</subject><subject>Decay rate</subject><subject>Dispersion</subject><subject>Fluid dynamics</subject><subject>Fluid flow</subject><subject>Hydrodynamics</subject><subject>Indoor air pollution</subject><subject>Indoor environments</subject><subject>Large eddy simulation</subject><subject>Mathematical models</subject><subject>Multistory buildings</subject><subject>Natural ventilation</subject><subject>Pollutant dispersion</subject><subject>Pollutants</subject><subject>Reynolds number</subject><subject>Reynolds number independence criteria</subject><subject>Tracer gas</subject><subject>Velocity</subject><subject>Velocity distribution</subject><subject>Ventilation</subject><issn>0360-1323</issn><issn>1873-684X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqFUF1LwzAUDaLgnP4FCfjcmi-b1CdlOB0MBNmDb6FtbiGjS2rSTvbvTTd99j7cex_OB-cgdEtJTgkt7rd5PdrOgNvnjNAyJzQnRJ2hGVWSZ4USn-doRnhBMsoZv0RXMW5JIpZczBAsO_-NK2ewsbGHEK132Drc-LHvwGA_Dsb7cERYd3yTkQ3e7cAN8RGvYhwB-xZ_wMH5zkTsxl0NYUJDD2m5Bq7RRVt1EW5-7xxtli-bxVu2fn9dLZ7XWSNKPmSilqRlKQR5ULSsAQSvuTCqMqJWgkoJrJUFI4xIqIlslWwpKCZpzcvWKD5HdyfZPvivEeKgt34MLjlqRpUQPI1MqOKEaoKPMUCr-2B3VThoSvTUqN7qv0b11KgmVKdGE_HpRIQUYW8h6NjYKZ6xAZpBG2__k_gBW_6Dug</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Dai, Yuwei</creator><creator>Mak, Cheuk Ming</creator><creator>Ai, Zhengtao</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-2635-2170</orcidid><orcidid>https://orcid.org/0000-0002-9510-2071</orcidid></search><sort><creationdate>20190301</creationdate><title>Flow and dispersion in coupled outdoor and indoor environments: Issue of Reynolds number independence</title><author>Dai, Yuwei ; Mak, Cheuk Ming ; Ai, Zhengtao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c493t-4b70f220105819bee43b34d8ad4b84177e2f7620207eb07f87f1e8271b39fd83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aerodynamics</topic><topic>Air pollution</topic><topic>Buildings</topic><topic>CFD simulation</topic><topic>Computational fluid dynamics</topic><topic>Computer applications</topic><topic>Computer simulation</topic><topic>Corporate governance</topic><topic>Coupled outdoor and indoor environment</topic><topic>Criteria</topic><topic>Decay rate</topic><topic>Dispersion</topic><topic>Fluid dynamics</topic><topic>Fluid flow</topic><topic>Hydrodynamics</topic><topic>Indoor air pollution</topic><topic>Indoor environments</topic><topic>Large eddy simulation</topic><topic>Mathematical models</topic><topic>Multistory buildings</topic><topic>Natural ventilation</topic><topic>Pollutant dispersion</topic><topic>Pollutants</topic><topic>Reynolds number</topic><topic>Reynolds number independence criteria</topic><topic>Tracer gas</topic><topic>Velocity</topic><topic>Velocity distribution</topic><topic>Ventilation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dai, Yuwei</creatorcontrib><creatorcontrib>Mak, Cheuk Ming</creatorcontrib><creatorcontrib>Ai, Zhengtao</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Building and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dai, Yuwei</au><au>Mak, Cheuk Ming</au><au>Ai, Zhengtao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flow and dispersion in coupled outdoor and indoor environments: Issue of Reynolds number independence</atitle><jtitle>Building and environment</jtitle><date>2019-03-01</date><risdate>2019</risdate><volume>150</volume><spage>119</spage><epage>134</epage><pages>119-134</pages><issn>0360-1323</issn><eissn>1873-684X</eissn><abstract>The Reynolds number (Re) independence criteria for flow and dispersion around purely outdoor environments has been examined in many previous studies, but little attention has been paid to the coupled outdoor and indoor environments. This study investigated the Re independence criteria of flow and dispersion in coupled outdoor and indoor environments using Computational Fluid Dynamics (CFD) with Large Eddy Simulation (LES) model. Two geometrical arrangements were considered, namely an isolated multi-story building, and an array of multi-story buildings. Four parameters including the non-dimensional air velocity, pollutant concentration, ventilation rate, and re-entry ratio were used to assess the Re independence criteria. The tracer gas decay method was used to predict the ventilation rate and to quantify the re-entry ratio for each room. Using the quantitative indicator, the deviation rate (DR), of the non-dimensional velocity below 5%, two sets of critical values were proposed: ReH based on the building height equal to 4.8×104 for the outdoor environment, and ReW based on the opening height equal to 1.4×104 for the indoor environment. The concentration field was more difficult to meet the Re-independent requirement. Using the DR of the non-dimensional concentration below 5%, the critical values were ReH=7.9×104 and ReW=3.0×104. If the DR was enlarged to 10%, the ReH and ReW criteria for the concentration field were the same as the velocity fields. For the non-dimensional ventilation rate and re-entry ratio, the critical value for the Re independence was ReW = 1.4×104 for both the isolated buildings and the building arrays.
•Two sets of criteria for achieving Re-independence proposed for coupled environments.•Re-independent issue investigated for both an isolated building and building arrays.•Four parameters — air velocity, pollutant concentration, ventilation rate and re-entry ratio —assessed.•Tracer gas decay method used to calculate ventilation rate and re-entry ratio.•Re–independence achieved for dimensionless ventilation rate and re-entry ratio.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.buildenv.2019.01.008</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-2635-2170</orcidid><orcidid>https://orcid.org/0000-0002-9510-2071</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aerodynamics Air pollution Buildings CFD simulation Computational fluid dynamics Computer applications Computer simulation Corporate governance Coupled outdoor and indoor environment Criteria Decay rate Dispersion Fluid dynamics Fluid flow Hydrodynamics Indoor air pollution Indoor environments Large eddy simulation Mathematical models Multistory buildings Natural ventilation Pollutant dispersion Pollutants Reynolds number Reynolds number independence criteria Tracer gas Velocity Velocity distribution Ventilation |
title | Flow and dispersion in coupled outdoor and indoor environments: Issue of Reynolds number independence |
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