Wang, Meng; Yu, Hang; Liu, Yupeng; Lin, Jianyi; Zhong, Xianzhun; Tang, Yin; Guo, Haijin; Wang, Meng; Yu, Hang; Liu, Yupeng; Lin, Jianyi; Zhong, Xianzhun; Tang, Yin; Guo, Haijin; Jing, Rui; - view fewer (2024) Unlock city-scale energy saving and peak load shaving potential of green roofs by GIS-informed urban building energy modelling. Applied Energy , 366 , Article 123315. 10.1016/j.apenergy.2024.123315.

Text Manuscript_20240402_clean.pdf - Accepted Version Access restricted to UCL open access staff until 3 May 2025. Download (2MB)

Abstract

Urban green roofs have emerged as a significant trend in urban architecture worldwide, offering numerous benefits, including enhanced energy performance, improved urban microclimate, and public health. This study proposes a holistic framework for assessing the green roofs' energy-saving potential at the city scale, achieved by scaling up building-scale energy simulations to city-scale energy demands. Firstly, massive building information is collected using Geometric Information System (GIS) technologies. Subsequently, prototype buildings are generated to accurately represent the geometric characteristics of buildings at the city scale. Building performance simulation is further conducted considering three types of plants on roofs. A case study in Xiamen, China, demonstrates the effectiveness of the proposed framework to efficiently quantify the city-scale energy-saving potential of green roofs. By implementing green roofs in Xiamen, energy savings of 1.62–1.83% and peak load shaving of 1.10–1.63% can be achieved for the whole city. Overall, the proposed framework has the potential for widespread application in other cities with minor adjustments to accommodate variations in climate and building parameters.

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