Parametric Study on Residential Passive House Building in Different Chinese Climate Zones

Xing Li, Qinli Deng, Zhigang Ren, Xiaofang Shan and Guang Yang
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Xing Li: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Qinli Deng: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Zhigang Ren: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Xiaofang Shan: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Guang Yang: School of Civil Engineering, Liaoning Technical University, Fuxin 123000, China

Sustainability, 2021, vol. 13, issue 8, 1-19

Abstract: With the increasing of building energy consumptions, the related issues of energy crisis and environmental pollution become more and more prominent. As an effective energy-saving technology, the passive house (PH) has been widely applied in China to reduce the building energy utilization. However, the design and application of PH vary with different climate conditions. Therefore, it is significant to conduct the parameterization of PH and propose a suitable design zoning of PH in China. In our study, a comprehensive feasibility analysis of the implementation of PH is performed, which chooses 31 representative cities covering 5 climatic regions. The sensitivity analysis firstly filters the key parameters that heavily affect energy consumption. The results indicate that the key parameters include external wall heat transfer coefficient (WU), basement ceiling heat transfer coefficient (BCU), solar heat gain coefficient (SHGC), glass G value (UG), heat recovery efficiency (HERE) and humidity recovery efficiency (HURE). Then, with the multiple regression approach, the values of key parameters are optimized. Based on the determined values of sensitive parameters, the design zoning of PH in China is finally proposed, which can guide the design of PH as well as enhance the application of PH in China.

Keywords: passive house; sensitivity analysis; design parameter optimization; design zoning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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