Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.buildenv.2021.108247
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dc.titleThe effect of dynamic albedos of plant canopy on thermal performance of rooftop greenery: A case study in Singapore
dc.contributor.authorHe, Yang
dc.contributor.authorLin, Ervine Shengwei
dc.contributor.authorYu, Zhongqi
dc.contributor.authorTan, Chun Liang
dc.contributor.authorTan, Puay Yok
dc.contributor.authorWong, Nyuk Hien
dc.date.accessioned2022-07-06T10:19:29Z
dc.date.available2022-07-06T10:19:29Z
dc.date.issued2021-08-16
dc.identifier.citationHe, Yang, Lin, Ervine Shengwei, Yu, Zhongqi, Tan, Chun Liang, Tan, Puay Yok, Wong, Nyuk Hien (2021-08-16). The effect of dynamic albedos of plant canopy on thermal performance of rooftop greenery: A case study in Singapore. BUILDING AND ENVIRONMENT 205. ScholarBank@NUS Repository. https://doi.org/10.1016/j.buildenv.2021.108247
dc.identifier.issn03601323
dc.identifier.issn1873684X
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/228056
dc.description.abstractA field experiment was conducted to study the albedo variations of plant canopy with time for two local species in Singapore. It was found that diurnal albedo variations of plant canopy showed a “M” shape on clear day and did not vary significantly on cloudy day. The maximum fluctuation range of hourly albedo was up to 0.085 and 0.015 on typical clear day and cloudy day, respectively. A dynamic canopy radiation transfer model was introduced in order to predict canopy albedo and was validated against measured data. The results show that the maximum relative error of predicted canopy albedo is less than 10%. Sensitivity analysis based on this model shows that leaf area index, leaf angle, albedo and transmissivity of leaves have significant effect on canopy albedo. Comparing the simulated results of thermal performance between green roof model with and without considering dynamic canopy albedo, it can be found that the dynamic canopy radiation model could further improve the predictive performance of green roof model. Finally, thermal performance of green roof was simulated with and without considering dynamic canopy albedo under different scenarios on typical clear day. The results indicate that significant error of simulation results may occur without considering the variation of canopy albedo caused by plant parameters, especially at noon period when solar radiation is strongest. The findings drawn from this study benefit to improve the accuracy of thermal performance simulation of green roof, and also provide some reference for plant selection in terms of thermal performance.
dc.language.isoen
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.sourceElements
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectConstruction & Building Technology
dc.subjectEngineering, Environmental
dc.subjectEngineering, Civil
dc.subjectEngineering
dc.subjectCanopy albedo
dc.subjectThermal performance
dc.subjectStructure parameter
dc.subjectOptical properties
dc.subjectRooftop greenery
dc.subjectURBAN HEAT-ISLAND
dc.subjectENERGY PERFORMANCE
dc.subjectBUILDING ENERGY
dc.subjectVERTICAL-DISTRIBUTION
dc.subjectMASS-TRANSFER
dc.subjectRADIATION
dc.subjectIMPACT
dc.subjectTECHNOLOGIES
dc.subjectBENEFITS
dc.subjectPATTERN
dc.typeArticle
dc.date.updated2022-07-06T05:10:45Z
dc.contributor.departmentDEAN'S OFFICE (COLLEGE OF DESIGN & ENG)
dc.contributor.departmentDEPT OF ARCHITECTURE
dc.contributor.departmentDEPT OF BUILDING
dc.description.doi10.1016/j.buildenv.2021.108247
dc.description.sourcetitleBUILDING AND ENVIRONMENT
dc.description.volume205
dc.published.statePublished
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