A Data-driven Approach for Sustainable Building Retrofit—A Case Study of Different Climate Zones in China

Qiong He, S. Thomas Ng, Md. Uzzal Hossain and Godfried L. Augenbroe
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Qiong He: School of Economics and Management, Nanjing Tech University, Nanjing 211816, China
S. Thomas Ng: Department of Civil Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China
Md. Uzzal Hossain: Department of Civil Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China
Godfried L. Augenbroe: School of Architecture, Georgia Institute of Technology, GA 30332-0155, USA

Sustainability, 2020, vol. 12, issue 11, 1-29

Abstract: This study presents a data-driven retrofitting approach by systematically analyzing the energy performance of existing high-rise residential buildings using a normative calculation logic-based simulation method. To demonstrate the practicality of the approach, typical existing buildings in five climate zones of China are analyzed based on the local building characteristics and climatic conditions. The results show that the total energy consumption is 544 kWh/m 2 /year in the severe cold zone, which is slightly higher than that in the cold zone (519 kWh/m 2 /year), but double that in the hot summer and cold winter zone, three times higher than that in the warm zone, and five times above that in the temperate zone. The dominant energy needs in different climatic zones are distinctive. The identified potentially suitable retrofitting measures are important in reducing large-scale energy consumption and can be used in supporting sustainable retrofit decisions for existing high-rise residential buildings in different climatic zones.

Keywords: retrofitting measures; existing high-rise building; energy performance; simulation; climate zones (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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