A review on the significance and perspective of the numerical simulations of outdoor thermal environment

环境科学 比例(比率) 气象学 中尺度气象学 热舒适性 平面图(考古学) 热的 城市设计 温带气候 透视图(图形) 计算机科学 城市规划 气候学 土木工程 工程类 地理 地质学 地图学 考古 植物 生物 人工智能
作者
Cho Kwong Charlie Lam,Hyunjung Lee,Shing-Ru Yang,Sookuk Park
出处
期刊:Sustainable Cities and Society [Elsevier]
卷期号:71: 102971-102971 被引量:90
标识
DOI:10.1016/j.scs.2021.102971
摘要

• Compare existing numerical simulation models and thermal indices. • Evaluate model validation of different meteorological variables and thermal indices. • More studies are required for Southern Hemisphere and winter conditions. • Combining survey and simulation results can optimize mitigation strategies. • Multi-scale modelling is required to examine climate change impact on microclimate. Computer simulation programs have been used since 2006 for analyzing outdoor human thermal environments. This study reviewed 130 peer-reviewed papers published during 2006–2019, which investigated outdoor thermal comfort using computer simulations. Most studies were conducted in the Northern Hemisphere and the temperate oceanic climate during summer. The widely used computer simulation program and thermal indices were the ENVI-met and physiological equivalent temperature, respectively. To validate the simulation results for urban planning and design, 61 % of the studies compared the simulation results with observation data. Moreover, 45 % and 27 % of the studies validated the simulation results with measured air temperature and mean radiant temperature, respectively. Thermal indices were validated in 12 studies. Mitigation strategies to improve urban outdoor thermal environments can be analyzed in three categories: the effects of urban geometry, urban vegetation, and surface materials. To address the impact of climate change, future studies should consider the future urban structural plan and design scenarios, such as building heights, street orientations, and surface types. Moreover, further studies can adopt multi-scale approaches (e.g. global scale, mesoscale, and micro-scale). This study will help researchers select a suitable numerical simulation program according to their requirements.
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