Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116239
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorZhang, Den_US
dc.creatorMui, KWen_US
dc.creatorWong, LTen_US
dc.date.accessioned2025-12-03T05:48:31Z-
dc.date.available2025-12-03T05:48:31Z-
dc.identifier.urihttp://hdl.handle.net/10397/116239-
dc.language.isoenen_US
dc.rightsPosted with permission of the author.en_US
dc.subjectHeat transfer coefficienten_US
dc.subjectShowerheaden_US
dc.subjectShoweringen_US
dc.subjectWater spray patternen_US
dc.titleWise choice of showerheads : understanding the impacts of shower water spray patterns on heat transfer coefficient between water and human skinen_US
dc.typeConference Paperen_US
dcterms.abstractHeat transfer coefficients between shower water and human skin could significantly impact occupants’ thermal sensation and energy consumption during showering. A recently published study found that heat transfer coefficients varied considerably among showerhead patterns. However, no specific effects for overall showerhead patterns were concluded because of the limited characteristic parameters of showerheads. Nonetheless, the impacts of water spray patterns on the heat transfer coefficient between water and flat surface were investigated and identified by several studies on spray cooling. Similar effects were expected for the heat transfer coefficients between shower water and human skin during showering. Hot water showers are the opposite process of water spray cooling. This study conducted experiments to quantify the water spray patterns during showering and define their impacts on the heat transfer coefficient. Five showerheads with 18 water spray patterns were tested in this study. These patterns' resistance factor, water supply pressure, and nozzle area ratio were measured to qualify their shower performance. Each pattern was tested under six showering conditions (two water flow rates × three water temperatures), and the heat transfer coefficient of each condition was calculated using the method proposed by a previous study. Results indicated that the heat transfer coefficient was significantly correlated with the resistance factor (r=0.331, p<0.001), water supply pressure (r=0.271, p=0.006), and nozzle area ratio (r=0.283, p=0.004) of the water spray patterns in general. Although these correlations were not always significant if examining the showerhead individually, clear trends still can be observed. The influence of water spray patterns on the heat transfer coefficient could provide residents with scientific references when selecting showerheads in their bathrooms.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationGlobal Smart Cities Summit cum The 3rd International Conference on Urban Informatics (GSCS & ICUI 2023) 20 - 23 August 2023, Hong Kongen_US
dcterms.issued2023-
dc.relation.conferenceGlobal Smart Cities Summit [GSCS]en_US
dc.relation.conferenceInternational Conference on Urban Informatics [ICUI]en_US
dc.description.validate202512 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera4197b-
dc.identifier.SubFormID52232-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis research was funded by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project no. 15217221, PolyU P0037773/ Q86B) and the Policy Research Centre for Innovation and Technology (PReCIT) Seed Funding Scheme of the Hong Kong Polytechnic University (Project ID: P0043831).en_US
dc.description.pubStatusUnpublishen_US
dc.description.oaCategoryCopyright retained by authoren_US
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