Optimizing Urban Ventilation in Heritage Settings: A Computational Fluid Dynamics and Field Study in Zhao’an Old Town, Fujian

This study investigates the optimization of urban ventilation in Zhao’an Old Town, Fujian, through the integration of Computational Fluid Dynamics (CFD) simulations and field measurements. The findings underscore the critical roles of spatial layout indicators, such as the Frontal Area Index (FAI), Opening-to-Facade Ratio (OFR), and Building Volume Density (BVD), in influencing wind flow and thermal performance. The FAI was identified as the most influential factor in shaping airflow, while the OFR and BVD highlighted the importance of open spaces and balanced building density for natural ventilation and thermal comfort. Practical strategies, such as optimizing building orientations, increasing facade permeability, and leveraging natural cooling elements like the Dongxi River, are proposed to address ventilation challenges while preserving the town’s cultural and historical integrity. Unlike previous studies, this research combines CFD simulations with summer field measurements to provide a highly accurate and contextually relevant evaluation of wind flow dynamics in compact urban environments. By systematically analyzing the interplay between urban morphology and ventilation efficiency, this study offers actionable recommendations for improving outdoor comfort in heritage settings. The outcomes serve as a valuable reference for sustainable urban planning, contributing to the development of strategies that balance environmental performance with the preservation of Zhao’an Old Town’s unique cultural heritage.

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Publication Details

Journal
Buildings
Published
2025-02-04
DOI
https://doi.org/10.3390/buildings15030483
Citations
4
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
3.20
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article

Optimizing Urban Ventilation in Heritage Settings: A Computational Fluid Dynamics and Field Study in Zhao’an Old Town, Fujian

Yijia Miao, Taohua Ye, Haoxi Chen, Shengwei Zhu
4 citations
Buildings
Urban Heat Island Mitigation
3.20
article

Optimizing Urban Ventilation in Heritage Settings: A Computational Fluid Dynamics and Field Study in Zhao’an Old Town, Fujian

Yijia Miao, Taohua Ye, Haoxi Chen, Shengwei Zhu
article en
4 citations

Abstract

This study investigates the optimization of urban ventilation in Zhao’an Old Town, Fujian, through the integration of Computational Fluid Dynamics (CFD) simulations and field measurements. The findings underscore the critical roles of spatial layout indicators, such as the Frontal Area Index (FAI), Opening-to-Facade Ratio (OFR), and Building Volume Density (BVD), in influencing wind flow and thermal performance. The FAI was identified as the most influential factor in shaping airflow, while the OFR and BVD highlighted the importance of open spaces and balanced building density for natural ventilation and thermal comfort. Practical strategies, such as optimizing building orientations, increasing facade permeability, and leveraging natural cooling elements like the Dongxi River, are proposed to address ventilation challenges while preserving the town’s cultural and historical integrity. Unlike previous studies, this research combines CFD simulations with summer field measurements to provide a highly accurate and contextually relevant evaluation of wind flow dynamics in compact urban environments. By systematically analyzing the interplay between urban morphology and ventilation efficiency, this study offers actionable recommendations for improving outdoor comfort in heritage settings. The outcomes serve as a valuable reference for sustainable urban planning, contributing to the development of strategies that balance environmental performance with the preservation of Zhao’an Old Town’s unique cultural heritage.

BuildingsVol. 15(3)
Tongji University (CN), City University of Hong Kong (HK), Liming Vocational University (CN), Taipei National University of the Arts (TW), University of Hong Kong (HK)
Openalex Percentile: Top 10%
Urban Heat Island Mitigation
3.20
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