Wind and Air Flow Studies
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Abstract
Abstract
Commercial plots in hot–humid tropical island cities require effective pedestrian-level ventilation; however, the extent to which different layout forms enhance wind-driven cooling potential under fixed development intensity remains insufficiently quantified. Taking Haikou as a representative tropical island case, this study examines how building count and spatial enclosure form affect the pedestrian-level wind environment of a commercial plot. A total of 63 layouts with one, two, and three building units were constructed under identical development constraints. ANSYS Fluent 2023 R1 (ANSYS, Inc., Canonsburg, PA, USA). was used to simulate pedestrian-level wind fields under representative summer southerly and east–northeasterly (ENE) wind conditions. Six ventilation-related indicators, including area-weighted mean wind speed, maximum wind speed, and the non-low-wind-speed area ratio in both seasons, were integrated into a Wind-Driven Cooling Potential Index (WDCPI). The weighting scheme combined climate-informed seasonal weights with entropy-based objective indicator weights. The results show that summer ventilation is more sensitive to layout form than winter ventilation. Although the average WDCPI decreases as building subdivision increases, layout B2 shows the highest WDCPI among the tested scenarios because its open inter-building space forms a continuous ventilation path aligned with the prevailing summer wind. The sensitivity analysis supports the relative stability of the ranking results. These findings highlight airflow connectivity and windward openness as important layout-screening principles for cooling-oriented commercial plot design in tropical island cities.
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@article{Cen2026Wind,
title = {Wind-Driven Cooling Potential of Commercial Plot Layouts in Tropical Island Cities Under Constant Development Intensity: A CFD-Based Study in Haikou},
author = {Yilin Cen and Jiacheng Jiao and Dawei Mu and Yuwei Wu and Yi Yang and Fashu Yi and Xintong Liu and Feilin Zheng and Jun Hu and Chenxi Liu and Z D Zhang},
journal = {Buildings},
year = {2026},
doi = {10.3390/buildings16152987},
url = {https://doi.org/10.3390/buildings16152987}
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