Validation of CFD models of urban microclimates under high temperature and humidity conditions during daytime heatwaves in dense low-rise areas

IF 7.1 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
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Abstract

In the midst of the ongoing climate crisis, there is a growing need to study the effects of climate on humans, especially those of the microclimates that surround humans and their activities. Various models have been developed to simulate microclimates, but simulation models for densely populated areas experiencing heat waves have shown an issue with simulating temperatures that were too high compared to actual measurements. To overcome these limitations, this study aimed to develop and validate CFD model based on STAR-CCM+ in order to more accurately simulate the microclimate of dense residential areas. To improve the realistic simulation capability found in existing models, the model was designed to include solar radiation, humidity, ground radiation, longwave radiation exchange, heat storage and evaporation due to various urban surfaces, evapotranspiration from vegetation, convection, and heat transfer from buildings. For validation, comparisons were made between the simulation results and the actual measurements during this time. The results showed that the R2 value of the model developed in this study increased from 0.86 to 0.91, indicating that the model was able to reproduce the measured results of the target site well. To avoid overfitting the model, the measurement results of the Han River AWS, another AWS operated by the Korea Meteorological Administration near the target site, were input. It was confirmed that the model reproduced the actual measurements of five locations in the target site well. The R2 of temperature and humidity ranged from 0.96 to 0.98, and wind speed ranged from 0.64 to 0.81.

验证低层密集地区白天热浪期间高温高湿条件下城市微气候的 CFD 模型
在持续的气候危机中,人们越来越需要研究气候对人类的影响,特别是对人类及其活动周围的微气候的影响。目前已开发出各种模拟微气候的模型,但针对热浪频发的人口稠密地区的模拟模型显示,与实际测量值相比,模拟温度存在过高的问题。为了克服这些局限性,本研究旨在开发和验证基于 STAR-CCM+ 的 CFD 模型,以便更准确地模拟密集居住区的微气候。为了提高现有模型的真实模拟能力,该模型的设计包括太阳辐射、湿度、地面辐射、长波辐射交换、各种城市表面导致的蓄热和蒸发、植被蒸散、对流和建筑物传热。为了进行验证,对模拟结果和这段时间的实际测量结果进行了比较。结果表明,本研究开发的模型的 R2 值从 0.86 增加到 0.91,表明该模型能够很好地再现目标地点的测量结果。为避免模型过度拟合,还输入了目标地点附近另一个由韩国气象局运行的 AWS--汉江 AWS 的测量结果。结果证实,该模型再现了目标地点水井中五个地点的实际测量结果。温度和湿度的 R2 为 0.96 至 0.98,风速为 0.64 至 0.81。
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
Building and Environment
Building and Environment 工程技术-工程:环境
CiteScore
12.50
自引率
23.00%
发文量
1130
审稿时长
27 days
期刊介绍: Building and Environment, an international journal, is dedicated to publishing original research papers, comprehensive review articles, editorials, and short communications in the fields of building science, urban physics, and human interaction with the indoor and outdoor built environment. The journal emphasizes innovative technologies and knowledge verified through measurement and analysis. It covers environmental performance across various spatial scales, from cities and communities to buildings and systems, fostering collaborative, multi-disciplinary research with broader significance.
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