Integrated impacts of cool coatings, street orientations, and height variability on urban cooling in 3D high-rise building arrays: CFD simulation

IF 13.3 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Sustainable Cities and Society Pub Date : 2026-02-01 Epub Date: 2026-01-06 DOI:10.1016/j.scs.2026.107127
Tianyi Guan , Jian Hang , Qingman Li , Lan Chen , Guanwen Chen , Hanying Dong , Zhiwen Luo
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引用次数: 0

Abstract

Using cool coatings on building envelopes and modifying urban morphologies, such as street orientations and building height variability, are recognized as effective urban cooling strategies. However, few studies evaluate the integrated cooling performance of these strategies in three-dimensional (3D) high-rise building arrays. Moreover, most existing performance evaluations of cool coatings focus on temperature drop, while rarely considering coating costs. As a novel contribution, this study systematically investigates the combined impacts of cool coatings (cool roofs (CR), cool roofs & walls (CR&W), cool roofs & east-west walls (CR&EWW), and cool roofs & high-rise walls (CR&HW)), street orientations (north-south vs. east-west), and building height layouts (uniform-height vs. varied-height) on building surface temperature and pedestrian-level microclimate under three summer solar heating conditions (8 am, 12 pm, and 4 pm) using computational fluid dynamics simulations. Uniquely, cooling intensity (°C/m2) is proposed to quantify the average surface temperature drop per unit of cool-coated surface area by incorporating coating costs into cooling performance evaluation. Results indicate that cool coatings reduce direct sunlit surface temperatures by up to 7.5 °C, with ensemble-average building envelope drops of 0.36–1.63 °C, while their impacts on pedestrian-level air temperature (drop < 0.3 °C) and wind velocity ratio (variation < 0.06) are minimal. CR&W, CR&EWW, and CR&HW cause significantly greater ensemble-average temperature drops than CR; however, when coating costs are considered, CR&W is less cost-effective than other configurations. CR&EWW and CR&HW offer a good trade-off between cooling effect and coating costs. Moreover, north-south orientation generally shows superior cooling performance with cool coatings over east-west orientation. Height variability differentially influences the cool coating performance for high-rise and low-rise buildings. This study offers valuable insights for optimizing the spatial deployment of cool coatings in compact subtropical cities.
三维高层建筑阵列中冷却涂层、街道朝向和高度变化对城市冷却的综合影响:CFD模拟
在建筑围护结构上使用冷却涂层和改变城市形态,如街道朝向和建筑高度变化,被认为是有效的城市冷却策略。然而,很少有研究评估这些策略在三维(3D)高层建筑阵列中的综合冷却性能。此外,现有的冷涂层性能评估大多侧重于温度下降,而很少考虑涂层成本。作为小说的贡献,本研究系统地调查的结合影响降温涂料(降温屋顶(CR)、降温屋顶和墙壁(CR& W),降温屋顶,东西方墙(CR&恶),和降温屋顶,高层墙(CR& HW)),街道方向(南北和东西),和建筑高度布局(uniform-height比varied-height)在建筑表面温度和pedestrian-level小气候三个夏天太阳能加热条件下(8点,12点,和下午4点)使用计算流体动力学模拟。独特的是,通过将涂层成本纳入冷却性能评估,提出了冷却强度(°C/m2)来量化每单位冷涂层表面积的平均表面温度下降。结果表明,冷涂层可使阳光直射下的表面温度降低7.5°C,建筑围护结构整体平均温度下降0.36-1.63°C,而对行人水平空气温度(下降0.3°C)和风速比(变化0.06)的影响最小。CR&W、CR&;EWW和CR&;HW引起的总体平均温度下降明显大于CR;然而,当考虑涂层成本时,CR&;W比其他配置的成本效益更低。creww和crhw在冷却效果和涂层成本之间提供了很好的平衡。此外,南北取向的冷却涂层通常比东西取向的冷却涂层表现出更好的冷却性能。高度变化对高层和低层建筑冷涂层性能的影响是不同的。该研究为优化亚热带紧凑型城市冷涂料的空间部署提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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