Effect of urban morphology on microclimate and building cluster energy consumption in cold regions of China

• Explored the quantitative relationship between urban morphology , microclimate and BEC. • Floor area ratio and relative humidity has 82.3 % and 7.3 % impact on BEC. • Proposed multiple regression models for predicting energy performance by morphology. • Proposed energy optimization strategies for building clusters with different function. Building energy consumption (BEC) is influenced by the combination of urban morphology and microclimate . This study investigated the influence of urban neighborhood morphology on microclimate and building energy consumption through sixty representative street blocks in cold regions of China. The following conclusions were drawn from the multiple regression analysis, and random forest (RF) in this research: 1) The impact of urban morphology on microclimate and vice versa on energy use intensity (EUI) varies according to the season. 2) Annual temperature (TEMP.), solar radiation (SR), building site cover (BSC), average building height (BH), road area ratio (RAR), and block orientation (BO) were significantly positively correlated with EUI, and the floor area ratio (FAR) was negatively correlated. 3) The FAR is positively correlated with BEC and has a significant negative correlation with relative humidity (RH) which contribution rates are 82.3 % and 7.3 %, respectively. Based on the analysis, the research proposed feasible recommendations to optimize the layout of blocks. The results of this study can be used to predict the energy consumption of new and existing street blocks in cold-climate cities quickly and accurately. Additionally, it provides quantitative strategies for energy-saving and emission reduction in urban planning.

Authors

Institutions

Publication Details

Journal
Sustainable Cities and Society
Published
2024-09-21
DOI
https://doi.org/10.1016/j.scs.2024.105838
Citations
34
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
7.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of urban morphology on microclimate and building cluster energy consumption in cold regions of China

Jinjian Jiang, Jingnan Tang, Peng Ju Cui, Yutong Wu et al.
34 citations
Sustainable Cities and Society
Urban Heat Island Mitigation
7.00
article

Effect of urban morphology on microclimate and building cluster energy consumption in cold regions of China

Jinjian Jiang, Jingnan Tang, Peng Ju Cui, Yutong Wu, Jiaqi Lu
article en
34 citations

Abstract

• Explored the quantitative relationship between urban morphology , microclimate and BEC. • Floor area ratio and relative humidity has 82.3 % and 7.3 % impact on BEC. • Proposed multiple regression models for predicting energy performance by morphology. • Proposed energy optimization strategies for building clusters with different function. Building energy consumption (BEC) is influenced by the combination of urban morphology and microclimate . This study investigated the influence of urban neighborhood morphology on microclimate and building energy consumption through sixty representative street blocks in cold regions of China. The following conclusions were drawn from the multiple regression analysis, and random forest (RF) in this research: 1) The impact of urban morphology on microclimate and vice versa on energy use intensity (EUI) varies according to the season. 2) Annual temperature (TEMP.), solar radiation (SR), building site cover (BSC), average building height (BH), road area ratio (RAR), and block orientation (BO) were significantly positively correlated with EUI, and the floor area ratio (FAR) was negatively correlated. 3) The FAR is positively correlated with BEC and has a significant negative correlation with relative humidity (RH) which contribution rates are 82.3 % and 7.3 %, respectively. Based on the analysis, the research proposed feasible recommendations to optimize the layout of blocks. The results of this study can be used to predict the energy consumption of new and existing street blocks in cold-climate cities quickly and accurately. Additionally, it provides quantitative strategies for energy-saving and emission reduction in urban planning.

Sustainable Cities and SocietyVol. 115
Inner Mongolia University of Science and Technology (CN), Northeast Forestry University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 2%
Urban Heat Island Mitigation
7.00
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.