Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.buildenv.2021.108247
Title: The effect of dynamic albedos of plant canopy on thermal performance of rooftop greenery: A case study in Singapore
Authors: He, Yang 
Lin, Ervine Shengwei 
Yu, Zhongqi 
Tan, Chun Liang 
Tan, Puay Yok 
Wong, Nyuk Hien 
Keywords: Science & Technology
Technology
Construction & Building Technology
Engineering, Environmental
Engineering, Civil
Engineering
Canopy albedo
Thermal performance
Structure parameter
Optical properties
Rooftop greenery
URBAN HEAT-ISLAND
ENERGY PERFORMANCE
BUILDING ENERGY
VERTICAL-DISTRIBUTION
MASS-TRANSFER
RADIATION
IMPACT
TECHNOLOGIES
BENEFITS
PATTERN
Issue Date: 16-Aug-2021
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Citation: He, 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
Abstract: A 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.
Source Title: BUILDING AND ENVIRONMENT
URI: https://scholarbank.nus.edu.sg/handle/10635/228056
ISSN: 03601323
1873684X
DOI: 10.1016/j.buildenv.2021.108247
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