Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/112541
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.contributorResearch Centre for Artificial Intelligence in Geomaticsen_US
dc.contributorResearch Institute for Land and Spaceen_US
dc.creatorJia, Sen_US
dc.creatorWeng, Qen_US
dc.creatorYoo, Cen_US
dc.creatorVoogt, JAen_US
dc.date.accessioned2025-04-16T04:34:18Z-
dc.date.available2025-04-16T04:34:18Z-
dc.identifier.issn0378-7788en_US
dc.identifier.urihttp://hdl.handle.net/10397/112541-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).en_US
dc.rightsThe following publication Jia, S., Weng, Q., Yoo, C., & Voogt, J. A. (2025). Global investigation of pedestrian-level cooling and energy-saving potentials of green and cool roofs in 43 megacities. Energy and Buildings, 115671, 337 is available at https://doi.org/10.1016/j.enbuild.2025.115671.en_US
dc.subjectCool roofen_US
dc.subjectEnergy savingen_US
dc.subjectENVI-meten_US
dc.subjectGreen roofen_US
dc.subjectMegacityen_US
dc.subjectUrban coolingen_US
dc.titleGlobal investigation of pedestrian-level cooling and energy-saving potentials of green and cool roofs in 43 megacitiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume337en_US
dc.identifier.doi10.1016/j.enbuild.2025.115671en_US
dcterms.abstractGreen roofs and cool roofs are emerging as two potential solutions to combat the negative impacts of urban warming in the context of climate change. However, the existing body of research has not clearly established the connection between the local built environment and the effectiveness of these solutions. Moreover, a lack of standardized methodologies for integrating micro-scale climatic data has impeded the precision of modeling endeavors. In light of these knowledge gaps, an extensive study was conducted across 43 megacities to evaluate the impact of green and cool roofs on reducing urban temperatures and building energy consumption. A novel integrated approach, combining a micro-level computational fluid dynamics (CFD) model and a building energy simulation method, was used. The results reveal that both cool and green roofs moderately cool pedestrian areas, with green roofs slightly outperforming cool roofs, reducing temperatures by an average of 0.10 °C. Delhi reported the highest cooling effect from green roofs at 0.80 °C, while Beijing recorded the top cooling performance from cool roofs at 0.23 °C. Cool roofs showed significant cooling energy savings, from 5.4 to 63.8 kWh/m2/year, particularly in sun-drenched cities like Bangalore, Dhaka, and Ahmedabad, albeit their inability to save heating energy in higher latitudes. Conversely, green roofs provided consistent energy savings, typically from 1.1 to 7.3 kWh/m2/year, with Dhaka exhibiting the highest energy-saving amount. Additionally, the study also identified that urban morphology influences the effectiveness of these strategies. The cooling effect becomes less noticeable with increasing building height, and open layouts are more conducive to roof-level strategies. The findings from this study will help optimize the implementation of these strategies in different climates and built environments, contributing to efforts to mitigate global climate change and enhance urban livability.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnergy and Buildings, 15 June 2025, v. 337, 115671en_US
dcterms.isPartOfEnergy and buildingsen_US
dcterms.issued2025-06-15-
dc.identifier.scopus2-s2.0-105001485842-
dc.identifier.eissn1872-6178en_US
dc.identifier.artn115671en_US
dc.description.validate202504 bchyen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextGlobal STEM Professorship, Hong Kong SAR Government; Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.TAElsevier (2025)en_US
dc.description.oaCategoryTAen_US
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