EconPapers    
Economics at your fingertips  
 

Impact of Urban Morphology and Climate on Heating Energy Consumption of Buildings in Severe Cold Regions

Shiyi Song, Hong Leng, Han Xu, Ran Guo and Yan Zhao
Additional contact information
Shiyi Song: School of Architecture, Harbin Institute of Technology, Harbin 150006, China
Hong Leng: School of Architecture, Harbin Institute of Technology, Harbin 150006, China
Han Xu: Department of Educational Psychology, Faculty of Education, University of Macau, Macau 999078, China
Ran Guo: School of Architecture, Harbin Institute of Technology, Harbin 150006, China
Yan Zhao: School of Architecture, Harbin Institute of Technology, Harbin 150006, China

IJERPH, 2020, vol. 17, issue 22, 1-24

Abstract: This study aims to acquire a better understanding of the quantitative relationship between environmental impact factors and heating energy consumption of buildings in severe cold regions. We analyze the effects of five urban morphological parameters (building density, aspect ratio, building height, floor area ratio, and shape factor) and three climatic parameters (temperature, wind speed, and relative humidity) on the heating energy use intensity (EUI) of commercial and residential buildings in a severe cold region. We develop regression models using empirical data to quantitatively evaluate the impact of each parameter. A stepwise approach is used to ensure that all the independent variables are significant and to eliminate the effects of multicollinearity. Finally, a spatial cluster analysis is performed to identify the distribution characteristics of heating EUI. The results indicate that the building height, shape factor, temperature, and wind speed have a significant impact on heating EUI, and their effects vary with the type of building. The cluster analysis indicated that the areas in the north, east, and along the river exhibited high heating EUI. The findings obtained herein can be used to evaluate building energy efficiency for urban planners and heating companies and departments based on the surrounding environmental conditions.

Keywords: building energy efficiency; energy use intensity; stepwise regression; spatial cluster (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1660-4601/17/22/8354/pdf (application/pdf)
https://www.mdpi.com/1660-4601/17/22/8354/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:17:y:2020:i:22:p:8354-:d:443516

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jijerp:v:17:y:2020:i:22:p:8354-:d:443516