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

Datos Bibliográficos

ID15499531
AutoresShiyi Song (0000-0002-2570-5248, Harbin Institute of Technology, autor de correspondencia), Hong Leng (0000-0002-2869-3940, Harbin Institute of Technology, autor de correspondencia), Xu Han (0000-0003-4414-8341, University of Macau), Han Xu (0000-0001-6857-2353, Department of Educational Psychology, Faculty of Education, University of Macau, Macau 999078, China), Ran Guo (0000-0003-2469-2059, Harbin Institute of Technology), Yan Zhao (0009-0007-8186-9443, Harbin Institute of Technology)
Año2020
Volumen17
Número22
Páginas8354-8354
Fecha de publicación2020-11-11
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17228354
PMID33187388
OpenAlexW3104427427
IdiomaEN
Citas recibidas5
Referencias citadas67

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

Atmospheric sciences · Civil engineering · Cluster (spacecraft · Energy consumption · Floor area ratio · Geography · Meteorology · Multicollinearity · Physical geography · Regression analysis · Relative humidity · Statistics · Wind speed · Building Energy and Comfort Optimization · Computer Science · Engineering · Environmental Science · Mathematics · Urban Heat Island Mitigation · Wind and Air Flow Studies · Ecology · Geology