A Multivariate Model and Correlation Study on the Impact of Typical Residential Spatial Forms in the Middle Reaches of the Hanjiang River on the Thermal Environment and Thermal Comfort

Yue Liu (), Liu Yang (), Yuhao Qiao, Qimeng Cao and Bing Han
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Yue Liu: School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
Liu Yang: School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
Yuhao Qiao: Institute for Interdisciplinary and Innovate Research, Xi’an University of Architecture and Technology, Xi’an 710055, China
Qimeng Cao: Institute for Interdisciplinary and Innovate Research, Xi’an University of Architecture and Technology, Xi’an 710055, China
Bing Han: School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China

Sustainability, 2024, vol. 16, issue 19, 1-16

Abstract: Different spatial forms affect the indoor thermal environment and human thermal comfort. A good living environment largely depends on the flexibility of spatial forms, and spatial scale and proportion are the key factors affecting these forms. We selected typical residential houses in the middle reaches of the Hanjiang River in the hot summer and cold winter climate area as an example. Through on-site measurements and questionnaire surveys, we studied the impact of residential form indicators on the thermal environment and thermal comfort. We also established a multivariate model to explore the correlation among various parameters. The results showed that the spatial-real ratio of the residential spatial form index in the middle reaches of Hanjiang River was 5–58%. The height from the ground was 2.23–6.92 m. The open-space ratio was 0.04–4.55. The explanatory power of the spatial form index to indoor air temperature was 57.5%, with a strong correlation (R 2 = 0.675). The explanatory power for humidity was 38.2%, with a weak correlation (R 2 = 0.525). The explanatory power of SET was 30.6–50.1%, with a weak correlation (R 2 = 0.466). The explanatory power of PMV was 6.5–31.7%, and PMV1.0 was weakly correlated (R 2 = 0.474). The explanatory power for PPD was 15.5%, where PPD 1.0 was close to a weak correlation (R 2 = 0.508). The results of this study provide reference values for the design methods of and decision-making process for green and energy-saving regional buildings.

Keywords: residential climate adaptability; middle reaches of Hanjiang River; spatial form index; thermal environment; thermal comfort (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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