The influence of aspect ratios and wall heating conditions on flow and passive pollutant exposure in 2D typical street canyons

Deep street canyons and unfavourable meteorological conditions usually induce high pollutant exposure. Validated by experimental data, this paper employs computational fluid dynamic simulations with RNG k-ε model to investigate the flow, and passive pollutant dispersion within scale-model two-dimens...

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Veröffentlicht in:Building and environment 2020-01, Vol.168, p.106536, Article 106536
Hauptverfasser: Hang, Jian, Chen, Xieyuan, Chen, Guanwen, Chen, Taihan, Lin, Yuanyuan, Luo, Zhiwen, Zhang, Xuelin, Wang, Qun
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container_title Building and environment
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creator Hang, Jian
Chen, Xieyuan
Chen, Guanwen
Chen, Taihan
Lin, Yuanyuan
Luo, Zhiwen
Zhang, Xuelin
Wang, Qun
description Deep street canyons and unfavourable meteorological conditions usually induce high pollutant exposure. Validated by experimental data, this paper employs computational fluid dynamic simulations with RNG k-ε model to investigate the flow, and passive pollutant dispersion within scale-model two-dimensional street canyons(H = 3 m). As a novelty, this paper quantifies the impacts of various wall heating scenarios(bottom, leeward/windward wall and all-wall heating), ambient velocity(Uref = 0.5–2 m s−1, Froude numbers Fr = 0.25–4.08, Reynolds numbers Re = 95602–382409) and aspect ratios(building height/street width, AR = 0.5, 0.67, 1, 2, 3) on personal intake fraction for entire streets( ). The governing equations are implicitly discretized by a finite volume method (FVM) and the second-order upwind scheme with Boussinesq model for quantifying buoyancy effects. The SIMPLE scheme is adopted for the pressure and velocity coupling. In most isothermal cases, one-main-vortex structure exists as AR = 0.5–3(  = 0.43–3.96 ppm and 1.66–27.51 ppm with Uref = 2 and 0.5 m s−1). For non-isothermal cases with Fr = 4.08(Uref = 2 m s−1), wind-driven force dominates urban airflow as AR = 0.5–1 and four heating conditions attain similar (0.39–0.43 ppm, 0.57–0.60 ppm, 0.91–0.98 ppm). As AR = 2, windward and all-wall heating get two-vortex structures with greater (3.18–3.33 ppm) than others(  = 2.13–2.21 ppm). As AR = 3, leeward-wall heating slightly reduces (~3.72–3.96 ppm), but the other three produce two-vortex structures with greater (6.13–10.32 ppm). As Fr = 0.25(Uref = 0.5 m s−1), leeward-wall heating always attains smaller (1.20–7.10 ppm) than isothermal cases(1.66–27.51 ppm) as AR = 0.5–3, however the influence of the other three is complicated which sometimes raises or reduces . Overall, smaller background wind speed (Fr = 0.25) with two-vortex structures attains much larger . Special attention is required at night(all-wall heating), noon(bottom-heating) and cloudy period(no-wall heating) as AR = 2–3, while it is during windward-wall heating and cloudy period for AR = 0.5–1. •As Fr = 4.08, wind-driven force dominates the urban airflow as AR = 0.5–1.•As Fr = 0.25, most heating conditions would lead to a lower .•Formation of single main vortex is the most efficient way to decrease the .•Leeward heating condition always decreases the as Fr = 0.25 and 4.08.
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Validated by experimental data, this paper employs computational fluid dynamic simulations with RNG k-ε model to investigate the flow, and passive pollutant dispersion within scale-model two-dimensional street canyons(H = 3 m). As a novelty, this paper quantifies the impacts of various wall heating scenarios(bottom, leeward/windward wall and all-wall heating), ambient velocity(Uref = 0.5–2 m s−1, Froude numbers Fr = 0.25–4.08, Reynolds numbers Re = 95602–382409) and aspect ratios(building height/street width, AR = 0.5, 0.67, 1, 2, 3) on personal intake fraction for entire streets( ). The governing equations are implicitly discretized by a finite volume method (FVM) and the second-order upwind scheme with Boussinesq model for quantifying buoyancy effects. The SIMPLE scheme is adopted for the pressure and velocity coupling. In most isothermal cases, one-main-vortex structure exists as AR = 0.5–3(  = 0.43–3.96 ppm and 1.66–27.51 ppm with Uref = 2 and 0.5 m s−1). For non-isothermal cases with Fr = 4.08(Uref = 2 m s−1), wind-driven force dominates urban airflow as AR = 0.5–1 and four heating conditions attain similar (0.39–0.43 ppm, 0.57–0.60 ppm, 0.91–0.98 ppm). As AR = 2, windward and all-wall heating get two-vortex structures with greater (3.18–3.33 ppm) than others(  = 2.13–2.21 ppm). As AR = 3, leeward-wall heating slightly reduces (~3.72–3.96 ppm), but the other three produce two-vortex structures with greater (6.13–10.32 ppm). As Fr = 0.25(Uref = 0.5 m s−1), leeward-wall heating always attains smaller (1.20–7.10 ppm) than isothermal cases(1.66–27.51 ppm) as AR = 0.5–3, however the influence of the other three is complicated which sometimes raises or reduces . Overall, smaller background wind speed (Fr = 0.25) with two-vortex structures attains much larger . Special attention is required at night(all-wall heating), noon(bottom-heating) and cloudy period(no-wall heating) as AR = 2–3, while it is during windward-wall heating and cloudy period for AR = 0.5–1. •As Fr = 4.08, wind-driven force dominates the urban airflow as AR = 0.5–1.•As Fr = 0.25, most heating conditions would lead to a lower .•Formation of single main vortex is the most efficient way to decrease the .•Leeward heating condition always decreases the as Fr = 0.25 and 4.08.</description><identifier>ISSN: 0360-1323</identifier><identifier>EISSN: 1873-684X</identifier><identifier>DOI: 10.1016/j.buildenv.2019.106536</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Aerodynamics ; Air flow ; Aspect ratio ; Aspect ratio (AR) ; Boussinesq equations ; Computational fluid dynamic (CFD) simulations ; Computational fluid dynamics ; Computer applications ; Computer simulation ; Exposure ; Finite volume method ; Fluid flow ; Froude number ; Heating ; Pollutants ; Pollution dispersion ; Street canyon ; Street canyons ; Street intake fraction ; Two dimensional models ; Velocity ; Velocity coupling ; Vortices ; Wall heating ; Wind ; Wind speed</subject><ispartof>Building and environment, 2020-01, Vol.168, p.106536, Article 106536</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jan 15, 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c388t-d5bcfccf750e55064f5e51be25769d4b50a119f1cf45bd7127aaa727eadc63713</citedby><cites>FETCH-LOGICAL-c388t-d5bcfccf750e55064f5e51be25769d4b50a119f1cf45bd7127aaa727eadc63713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0360132319307486$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Hang, Jian</creatorcontrib><creatorcontrib>Chen, Xieyuan</creatorcontrib><creatorcontrib>Chen, Guanwen</creatorcontrib><creatorcontrib>Chen, Taihan</creatorcontrib><creatorcontrib>Lin, Yuanyuan</creatorcontrib><creatorcontrib>Luo, Zhiwen</creatorcontrib><creatorcontrib>Zhang, Xuelin</creatorcontrib><creatorcontrib>Wang, Qun</creatorcontrib><title>The influence of aspect ratios and wall heating conditions on flow and passive pollutant exposure in 2D typical street canyons</title><title>Building and environment</title><description>Deep street canyons and unfavourable meteorological conditions usually induce high pollutant exposure. Validated by experimental data, this paper employs computational fluid dynamic simulations with RNG k-ε model to investigate the flow, and passive pollutant dispersion within scale-model two-dimensional street canyons(H = 3 m). As a novelty, this paper quantifies the impacts of various wall heating scenarios(bottom, leeward/windward wall and all-wall heating), ambient velocity(Uref = 0.5–2 m s−1, Froude numbers Fr = 0.25–4.08, Reynolds numbers Re = 95602–382409) and aspect ratios(building height/street width, AR = 0.5, 0.67, 1, 2, 3) on personal intake fraction for entire streets( ). The governing equations are implicitly discretized by a finite volume method (FVM) and the second-order upwind scheme with Boussinesq model for quantifying buoyancy effects. The SIMPLE scheme is adopted for the pressure and velocity coupling. In most isothermal cases, one-main-vortex structure exists as AR = 0.5–3(  = 0.43–3.96 ppm and 1.66–27.51 ppm with Uref = 2 and 0.5 m s−1). For non-isothermal cases with Fr = 4.08(Uref = 2 m s−1), wind-driven force dominates urban airflow as AR = 0.5–1 and four heating conditions attain similar (0.39–0.43 ppm, 0.57–0.60 ppm, 0.91–0.98 ppm). As AR = 2, windward and all-wall heating get two-vortex structures with greater (3.18–3.33 ppm) than others(  = 2.13–2.21 ppm). As AR = 3, leeward-wall heating slightly reduces (~3.72–3.96 ppm), but the other three produce two-vortex structures with greater (6.13–10.32 ppm). As Fr = 0.25(Uref = 0.5 m s−1), leeward-wall heating always attains smaller (1.20–7.10 ppm) than isothermal cases(1.66–27.51 ppm) as AR = 0.5–3, however the influence of the other three is complicated which sometimes raises or reduces . Overall, smaller background wind speed (Fr = 0.25) with two-vortex structures attains much larger . Special attention is required at night(all-wall heating), noon(bottom-heating) and cloudy period(no-wall heating) as AR = 2–3, while it is during windward-wall heating and cloudy period for AR = 0.5–1. •As Fr = 4.08, wind-driven force dominates the urban airflow as AR = 0.5–1.•As Fr = 0.25, most heating conditions would lead to a lower .•Formation of single main vortex is the most efficient way to decrease the .•Leeward heating condition always decreases the as Fr = 0.25 and 4.08.</description><subject>Aerodynamics</subject><subject>Air flow</subject><subject>Aspect ratio</subject><subject>Aspect ratio (AR)</subject><subject>Boussinesq equations</subject><subject>Computational fluid dynamic (CFD) simulations</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Computer simulation</subject><subject>Exposure</subject><subject>Finite volume method</subject><subject>Fluid flow</subject><subject>Froude number</subject><subject>Heating</subject><subject>Pollutants</subject><subject>Pollution dispersion</subject><subject>Street canyon</subject><subject>Street canyons</subject><subject>Street intake fraction</subject><subject>Two dimensional models</subject><subject>Velocity</subject><subject>Velocity coupling</subject><subject>Vortices</subject><subject>Wall heating</subject><subject>Wind</subject><subject>Wind speed</subject><issn>0360-1323</issn><issn>1873-684X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkEFvGyEQhVHVSHWT_IUKKed1YFlY-9bIbZJKlnpxpNwQC0ONRWEDrBNf8tuD4_Tc00hv3nuj-RD6RsmcEiqud_Nhct5A2M9bQpdVFJyJT2hGFz1rxKJ7_IxmhAnSUNayL-hrzjtSg0vWzdDrZgvYBesnCBpwtFjlEXTBSRUXM1bB4GflPd5CFcIfrGMwrq5CxjFg6-Pzu2dUObs94DF6PxUVCoaXMeYpHdtx-wOXw-i08jiXBFCwVuFQOy7QmVU-w-XHPEcPtz83q_tm_fvu1-pm3Wi2WJTG8EFbrW3PCXBORGc5cDpAy3uxNN3AiaJ0aam2HR9MT9teKdW3PSijBespO0dXp94xxacJcpG7OKVQT8qWVVqUccqqS5xcOsWcE1g5JvdXpYOkRB5Zy538x1oeWcsT6xr8fgpC_WHvIMms3RGocanClCa6_1W8AcIrjfI</recordid><startdate>20200115</startdate><enddate>20200115</enddate><creator>Hang, Jian</creator><creator>Chen, Xieyuan</creator><creator>Chen, Guanwen</creator><creator>Chen, Taihan</creator><creator>Lin, Yuanyuan</creator><creator>Luo, Zhiwen</creator><creator>Zhang, Xuelin</creator><creator>Wang, Qun</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></search><sort><creationdate>20200115</creationdate><title>The influence of aspect ratios and wall heating conditions on flow and passive pollutant exposure in 2D typical street canyons</title><author>Hang, Jian ; 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Validated by experimental data, this paper employs computational fluid dynamic simulations with RNG k-ε model to investigate the flow, and passive pollutant dispersion within scale-model two-dimensional street canyons(H = 3 m). As a novelty, this paper quantifies the impacts of various wall heating scenarios(bottom, leeward/windward wall and all-wall heating), ambient velocity(Uref = 0.5–2 m s−1, Froude numbers Fr = 0.25–4.08, Reynolds numbers Re = 95602–382409) and aspect ratios(building height/street width, AR = 0.5, 0.67, 1, 2, 3) on personal intake fraction for entire streets( ). The governing equations are implicitly discretized by a finite volume method (FVM) and the second-order upwind scheme with Boussinesq model for quantifying buoyancy effects. The SIMPLE scheme is adopted for the pressure and velocity coupling. In most isothermal cases, one-main-vortex structure exists as AR = 0.5–3(  = 0.43–3.96 ppm and 1.66–27.51 ppm with Uref = 2 and 0.5 m s−1). For non-isothermal cases with Fr = 4.08(Uref = 2 m s−1), wind-driven force dominates urban airflow as AR = 0.5–1 and four heating conditions attain similar (0.39–0.43 ppm, 0.57–0.60 ppm, 0.91–0.98 ppm). As AR = 2, windward and all-wall heating get two-vortex structures with greater (3.18–3.33 ppm) than others(  = 2.13–2.21 ppm). As AR = 3, leeward-wall heating slightly reduces (~3.72–3.96 ppm), but the other three produce two-vortex structures with greater (6.13–10.32 ppm). As Fr = 0.25(Uref = 0.5 m s−1), leeward-wall heating always attains smaller (1.20–7.10 ppm) than isothermal cases(1.66–27.51 ppm) as AR = 0.5–3, however the influence of the other three is complicated which sometimes raises or reduces . Overall, smaller background wind speed (Fr = 0.25) with two-vortex structures attains much larger . Special attention is required at night(all-wall heating), noon(bottom-heating) and cloudy period(no-wall heating) as AR = 2–3, while it is during windward-wall heating and cloudy period for AR = 0.5–1. •As Fr = 4.08, wind-driven force dominates the urban airflow as AR = 0.5–1.•As Fr = 0.25, most heating conditions would lead to a lower .•Formation of single main vortex is the most efficient way to decrease the .•Leeward heating condition always decreases the as Fr = 0.25 and 4.08.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.buildenv.2019.106536</doi><oa>free_for_read</oa></addata></record>
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source Elsevier ScienceDirect Journals
subjects Aerodynamics
Air flow
Aspect ratio
Aspect ratio (AR)
Boussinesq equations
Computational fluid dynamic (CFD) simulations
Computational fluid dynamics
Computer applications
Computer simulation
Exposure
Finite volume method
Fluid flow
Froude number
Heating
Pollutants
Pollution dispersion
Street canyon
Street canyons
Street intake fraction
Two dimensional models
Velocity
Velocity coupling
Vortices
Wall heating
Wind
Wind speed
title The influence of aspect ratios and wall heating conditions on flow and passive pollutant exposure in 2D typical street canyons
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