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Numerical investigation of wind-driven natural ventilation performance in a multi-storey hospital by coupling indoor and outdoor airflow
Department of Atmospheric Science, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, China.
Department of Atmospheric Science, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, China.
Department of Atmospheric Science, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, China.
Department of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong.
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2016 (English)In: Indoor + Built Environment, ISSN 1420-326X, E-ISSN 1423-0070, Vol. 25, no 8, 1226-1247 p.Article in journal (Refereed) Published
Abstract [en]

This study employed two ventilation indexes: local mean age of air and air change rate per hour, to investigate wind-induced natural ventilation of 260 wards of a multi-storey hospital building in suburb of Guangzhou using computational fluid dynamics simulations. Using the surface-grid extrusion technique, high-quality hexahedral grid cells were generated for the coupled outdoor and indoor airflow field. Turbulence was solved by the renormalisation group k-model validated against experimental data with grid independence studies. Homogeneous tracer gas emission was adopted to predict room age of air. The air change rate of cross ventilation and single-sided ventilation can reach 30-160 h-1 and 0.5-7 h-1, respectively. Due to different locations of room openings on the balconies, natural ventilation of a room can be greatly better than its neighbouring room. The wind-induced cross ventilation highly depends on the distance from the room opening to the stagnation point and on the resulting pressure distribution on the target building surface. Furthermore, it is significantly influenced by the upstream buildings, the bent shape of the target building, and the prevailing wind directions. The coupled computational fluid dynamics methodologies with integrated ventilation indexes are useful for assessing the natural ventilation performance in other complex built environments. 

Place, publisher, year, edition, pages
2016. Vol. 25, no 8, 1226-1247 p.
Keyword [en]
Age of air, Air change rate per hour (ACH), Computational fluid dynamics (CFD), Coupling indoor and outdoor, Hospital natural ventilation
National Category
Fluid Mechanics and Acoustics Building Technologies
Identifiers
URN: urn:nbn:se:hig:diva-22976DOI: 10.1177/1420326X15595689ISI: 000389051600005ScopusID: 2-s2.0-84995771502OAI: oai:DiVA.org:hig-22976DiVA: diva2:1052805
Available from: 2016-12-07 Created: 2016-12-07 Last updated: 2017-01-10Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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