Open Access
Open access
volume 26 pages 104740

Quantifying the Impact of Building Layouts on Wind–Thermal Environments: A Computational Fluid Dynamics-Based Approach for Optimizing Plans and Designs in High-Temperature, Low-Wind Regions

Junwen Li 1
Rongjie Jian 2
Shitai Bao 2
Qixin Pan 3
Darong Guo 2
Hui Gao 1
1
 
Guangzhou Urban Planning and Design Company Limited, Guangzhou, China
3
 
GBA Meteorological Intelligent Equipment Research Center of Guangzhou, GBA Academy of Meteorological Research, Guangzhou, China
Publication typeJournal Article
Publication date2025-06-01
scimago Q1
wos Q1
SJR1.171
CiteScore7.3
Impact factor7.9
ISSN25901230
Abstract
This study quantified the impact of building layouts on wind–thermal dynamics using computational fluid dynamics. Several neat and haphazard layouts were generated by varying the building interval, height, and length–width ratio. These scenarios were simulated using the Fluent software, and field verification was conducted in Changban village, Guangzhou. Statistical analysis of the wind–thermal characteristics revealed that 1) the building interval and height had significant orthogonal impacts on the wind and thermal dynamics. For intervals above 2 m, the wind speed decreased gradually with increasing height and stabilized at a height of 9 m. For building heights above 3 m, the wind speed decreased and then increased with increasing interval beyond the critical point of the canyon wind effect; 2) the length–width ratio and layout regularity had small but measurable impacts. For intervals exceeding 2 m, the neat layouts exhibited high wind speeds and lower temperatures. Conversely, for intervals below 2 m, the haphazard layouts induced high wind speeds and improved heat dissipation owing to the canyon effect. Similar trends were observed for length–width ratios of 2 and intervals above and below 4 m; 3) the four factors exhibited complex nonlinear relationships with the wind–thermal environment. The floor area ratio (FAR) was dominated by interval and height and showed a significant curvilinear relationship with the wind speed, which stabilized above FAR = 3. The temperature increased sharply above FAR = 1, which highlights the need to limit the FAR to mitigate urban heat island effects. These findings provide quantitative insights into the interplay between building layout and microclimate dynamics, offering practical guidance for building planning and design in low-latitude, high-temperature, and low-wind regions of the Northern Hemisphere.
Found 
Found 

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
2
Share
Cite this
GOST |
Cite this
GOST Copy
Li J. et al. Quantifying the Impact of Building Layouts on Wind–Thermal Environments: A Computational Fluid Dynamics-Based Approach for Optimizing Plans and Designs in High-Temperature, Low-Wind Regions // Results in Engineering. 2025. Vol. 26. p. 104740.
GOST all authors (up to 50) Copy
Li J., Jian R., Bao S., Pan Q., Guo D., Gao H. Quantifying the Impact of Building Layouts on Wind–Thermal Environments: A Computational Fluid Dynamics-Based Approach for Optimizing Plans and Designs in High-Temperature, Low-Wind Regions // Results in Engineering. 2025. Vol. 26. p. 104740.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.rineng.2025.104740
UR - https://linkinghub.elsevier.com/retrieve/pii/S2590123025008175
TI - Quantifying the Impact of Building Layouts on Wind–Thermal Environments: A Computational Fluid Dynamics-Based Approach for Optimizing Plans and Designs in High-Temperature, Low-Wind Regions
T2 - Results in Engineering
AU - Li, Junwen
AU - Jian, Rongjie
AU - Bao, Shitai
AU - Pan, Qixin
AU - Guo, Darong
AU - Gao, Hui
PY - 2025
DA - 2025/06/01
PB - Elsevier
SP - 104740
VL - 26
SN - 2590-1230
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Li,
author = {Junwen Li and Rongjie Jian and Shitai Bao and Qixin Pan and Darong Guo and Hui Gao},
title = {Quantifying the Impact of Building Layouts on Wind–Thermal Environments: A Computational Fluid Dynamics-Based Approach for Optimizing Plans and Designs in High-Temperature, Low-Wind Regions},
journal = {Results in Engineering},
year = {2025},
volume = {26},
publisher = {Elsevier},
month = {jun},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2590123025008175},
pages = {104740},
doi = {10.1016/j.rineng.2025.104740}
}