Effect of flow disturbance induced by walking on the performance of personalized ventilation coupled with mixing ventilation
The aim of this work is to investigate the effect of a walking occupant disturbance, on the performance of personalized ventilation (PV). A computational fluid dynamics (CFD) model of an office space with two people was developed. The first occupant was seated while using the PV (4 L/s). The second...
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description | The aim of this work is to investigate the effect of a walking occupant disturbance, on the performance of personalized ventilation (PV). A computational fluid dynamics (CFD) model of an office space with two people was developed. The first occupant was seated while using the PV (4 L/s). The second occupant was walking along a linear path parallel to the PV jet direction. A dynamic mesh was adopted to model the walking motion. The flow field was validated experimentally in a chamber equipped with stationary and walking manikins. The validated CFD model was used to assess the PV jet during the disturbance. Moreover, tracer gas was used to evaluate the breathable air quality of the PV user. CO2 was used to model passive contaminants in the space, while SF6 represented a local contamination source (walking occupant).
Results showed that the walking disturbance deteriorated the PV efficiency. When the occupant was at its closest to the seated occupant and PV, turbulence intensities increased to 21%. This enhanced entrainment of contaminants into the jet, causing a decrease of εv by 72% and 56% for CO2 and SF6. When the occupant is at the end of the trajectory, the negative pressure at the back deflected the PV jet away from the breathing zone. This decreased εv by 60% and 45% for CO2 and SF6. A safe distance of 85 cm between the occupants was recommended to preserve air quality. Moreover, using a wider PV of 18.5 cm diameter (15 L/s) increased εv significantly.
[Display omitted]
•Flow disturbances affected performance of personalized ventilation due to jet mixing & deflection.•Experimental measurements showed an increase in turbulence in the PV jet surrounding.•Breathing air quality dropped by 72% due to increased mixing and species' entrainment into the jet.•Breathing air quality dropped by 60% due to exposure to space airborne pollutants after jet deflection.•A larger PV enhanced IAQ in the BZ by a maximum of 81% compared to a narrower PV. |
doi_str_mv | 10.1016/j.buildenv.2019.106217 |
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Results showed that the walking disturbance deteriorated the PV efficiency. When the occupant was at its closest to the seated occupant and PV, turbulence intensities increased to 21%. This enhanced entrainment of contaminants into the jet, causing a decrease of εv by 72% and 56% for CO2 and SF6. When the occupant is at the end of the trajectory, the negative pressure at the back deflected the PV jet away from the breathing zone. This decreased εv by 60% and 45% for CO2 and SF6. A safe distance of 85 cm between the occupants was recommended to preserve air quality. Moreover, using a wider PV of 18.5 cm diameter (15 L/s) increased εv significantly.
[Display omitted]
•Flow disturbances affected performance of personalized ventilation due to jet mixing & deflection.•Experimental measurements showed an increase in turbulence in the PV jet surrounding.•Breathing air quality dropped by 72% due to increased mixing and species' entrainment into the jet.•Breathing air quality dropped by 60% due to exposure to space airborne pollutants after jet deflection.•A larger PV enhanced IAQ in the BZ by a maximum of 81% compared to a narrower PV.</description><identifier>ISSN: 0360-1323</identifier><identifier>EISSN: 1873-684X</identifier><identifier>DOI: 10.1016/j.buildenv.2019.106217</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Aerodynamics ; Air quality ; Carbon dioxide ; Computational fluid dynamics ; Computer applications ; Contaminants ; Contamination ; Disturbance ; Dynamic mesh ; Entrainment ; Finite element method ; Flow disturbance due to walking ; Fluid dynamics ; Fluid flow ; Hydrodynamics ; Indoor air quality ; Mathematical models ; Personalized ventilation ; Sulfur hexafluoride ; Tracer gas ; Turbulence ; Ventilation</subject><ispartof>Building and environment, 2019-08, Vol.160, p.106217, Article 106217</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier BV Aug 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-8f75c7b11fcc8ddf068dcb2d0fba801ff179aebe124c1fe4e5872474edf0ca603</citedby><cites>FETCH-LOGICAL-c379t-8f75c7b11fcc8ddf068dcb2d0fba801ff179aebe124c1fe4e5872474edf0ca603</cites><orcidid>0000-0002-9536-651X</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.2019.106217$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Al Assaad, Douaa</creatorcontrib><creatorcontrib>Ghali, Kamel</creatorcontrib><creatorcontrib>Ghaddar, Nesreen</creatorcontrib><title>Effect of flow disturbance induced by walking on the performance of personalized ventilation coupled with mixing ventilation</title><title>Building and environment</title><description>The aim of this work is to investigate the effect of a walking occupant disturbance, on the performance of personalized ventilation (PV). A computational fluid dynamics (CFD) model of an office space with two people was developed. The first occupant was seated while using the PV (4 L/s). The second occupant was walking along a linear path parallel to the PV jet direction. A dynamic mesh was adopted to model the walking motion. The flow field was validated experimentally in a chamber equipped with stationary and walking manikins. The validated CFD model was used to assess the PV jet during the disturbance. Moreover, tracer gas was used to evaluate the breathable air quality of the PV user. CO2 was used to model passive contaminants in the space, while SF6 represented a local contamination source (walking occupant).
Results showed that the walking disturbance deteriorated the PV efficiency. When the occupant was at its closest to the seated occupant and PV, turbulence intensities increased to 21%. This enhanced entrainment of contaminants into the jet, causing a decrease of εv by 72% and 56% for CO2 and SF6. When the occupant is at the end of the trajectory, the negative pressure at the back deflected the PV jet away from the breathing zone. This decreased εv by 60% and 45% for CO2 and SF6. A safe distance of 85 cm between the occupants was recommended to preserve air quality. Moreover, using a wider PV of 18.5 cm diameter (15 L/s) increased εv significantly.
[Display omitted]
•Flow disturbances affected performance of personalized ventilation due to jet mixing & deflection.•Experimental measurements showed an increase in turbulence in the PV jet surrounding.•Breathing air quality dropped by 72% due to increased mixing and species' entrainment into the jet.•Breathing air quality dropped by 60% due to exposure to space airborne pollutants after jet deflection.•A larger PV enhanced IAQ in the BZ by a maximum of 81% compared to a narrower PV.</description><subject>Aerodynamics</subject><subject>Air quality</subject><subject>Carbon dioxide</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Contaminants</subject><subject>Contamination</subject><subject>Disturbance</subject><subject>Dynamic mesh</subject><subject>Entrainment</subject><subject>Finite element method</subject><subject>Flow disturbance due to walking</subject><subject>Fluid dynamics</subject><subject>Fluid flow</subject><subject>Hydrodynamics</subject><subject>Indoor air quality</subject><subject>Mathematical models</subject><subject>Personalized ventilation</subject><subject>Sulfur hexafluoride</subject><subject>Tracer gas</subject><subject>Turbulence</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>eNqFkE1LAzEURYMoWKt_QQKup-ZjOpnulFI_oOBGwV3IJC82dTqpyUxrxR9v6ii4cxXycu7l5SB0TsmIElpcLkdV52oDzWbECJ2kYcGoOEADWgqeFWX-fIgGhBcko5zxY3QS45Kk4ITnA_Q5sxZ0i73FtvZbbFxsu1CpRgN2jek0GFzt8FbVr655wb7B7QLwGoL1YfVNpWS6Rt-o2n0kegNN62rVusRq363rNNu6doFX7n1f8ef9FB1ZVUc4-zmH6Olm9ji9y-YPt_fT63mmuZi0WWnFWIuKUqt1aYwlRWl0xQyxlSoJtZaKiYIKKMs1tZDDuBQsFzkkVKuC8CG66HvXwb91EFu59F1IC0fJmMg5Z2NeJKroKR18jAGsXAe3UmEnKZF703Ipf03LvWnZm07Bqz4I6Q8bB0FG7SC5MS4kt9J491_FFxEtjs8</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Al Assaad, Douaa</creator><creator>Ghali, Kamel</creator><creator>Ghaddar, Nesreen</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/0000-0002-9536-651X</orcidid></search><sort><creationdate>20190801</creationdate><title>Effect of flow disturbance induced by walking on the performance of personalized ventilation coupled with mixing ventilation</title><author>Al Assaad, Douaa ; Ghali, Kamel ; Ghaddar, Nesreen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-8f75c7b11fcc8ddf068dcb2d0fba801ff179aebe124c1fe4e5872474edf0ca603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aerodynamics</topic><topic>Air quality</topic><topic>Carbon dioxide</topic><topic>Computational fluid dynamics</topic><topic>Computer applications</topic><topic>Contaminants</topic><topic>Contamination</topic><topic>Disturbance</topic><topic>Dynamic mesh</topic><topic>Entrainment</topic><topic>Finite element method</topic><topic>Flow disturbance due to walking</topic><topic>Fluid dynamics</topic><topic>Fluid flow</topic><topic>Hydrodynamics</topic><topic>Indoor air quality</topic><topic>Mathematical models</topic><topic>Personalized ventilation</topic><topic>Sulfur hexafluoride</topic><topic>Tracer gas</topic><topic>Turbulence</topic><topic>Ventilation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Al Assaad, Douaa</creatorcontrib><creatorcontrib>Ghali, Kamel</creatorcontrib><creatorcontrib>Ghaddar, Nesreen</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>Al Assaad, Douaa</au><au>Ghali, Kamel</au><au>Ghaddar, Nesreen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of flow disturbance induced by walking on the performance of personalized ventilation coupled with mixing ventilation</atitle><jtitle>Building and environment</jtitle><date>2019-08-01</date><risdate>2019</risdate><volume>160</volume><spage>106217</spage><pages>106217-</pages><artnum>106217</artnum><issn>0360-1323</issn><eissn>1873-684X</eissn><abstract>The aim of this work is to investigate the effect of a walking occupant disturbance, on the performance of personalized ventilation (PV). A computational fluid dynamics (CFD) model of an office space with two people was developed. The first occupant was seated while using the PV (4 L/s). The second occupant was walking along a linear path parallel to the PV jet direction. A dynamic mesh was adopted to model the walking motion. The flow field was validated experimentally in a chamber equipped with stationary and walking manikins. The validated CFD model was used to assess the PV jet during the disturbance. Moreover, tracer gas was used to evaluate the breathable air quality of the PV user. CO2 was used to model passive contaminants in the space, while SF6 represented a local contamination source (walking occupant).
Results showed that the walking disturbance deteriorated the PV efficiency. When the occupant was at its closest to the seated occupant and PV, turbulence intensities increased to 21%. This enhanced entrainment of contaminants into the jet, causing a decrease of εv by 72% and 56% for CO2 and SF6. When the occupant is at the end of the trajectory, the negative pressure at the back deflected the PV jet away from the breathing zone. This decreased εv by 60% and 45% for CO2 and SF6. A safe distance of 85 cm between the occupants was recommended to preserve air quality. Moreover, using a wider PV of 18.5 cm diameter (15 L/s) increased εv significantly.
[Display omitted]
•Flow disturbances affected performance of personalized ventilation due to jet mixing & deflection.•Experimental measurements showed an increase in turbulence in the PV jet surrounding.•Breathing air quality dropped by 72% due to increased mixing and species' entrainment into the jet.•Breathing air quality dropped by 60% due to exposure to space airborne pollutants after jet deflection.•A larger PV enhanced IAQ in the BZ by a maximum of 81% compared to a narrower PV.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.buildenv.2019.106217</doi><orcidid>https://orcid.org/0000-0002-9536-651X</orcidid></addata></record> |
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subjects | Aerodynamics Air quality Carbon dioxide Computational fluid dynamics Computer applications Contaminants Contamination Disturbance Dynamic mesh Entrainment Finite element method Flow disturbance due to walking Fluid dynamics Fluid flow Hydrodynamics Indoor air quality Mathematical models Personalized ventilation Sulfur hexafluoride Tracer gas Turbulence Ventilation |
title | Effect of flow disturbance induced by walking on the performance of personalized ventilation coupled with mixing ventilation |
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