Combined impact of climate change and urban heat island on building energy use in three megacities in China

被引:2
作者
Shen, Pengyuan [1 ]
Ji, Yuchen [2 ]
Li, Yu [3 ]
Wang, Meilin [4 ]
Cui, Xue [5 ]
Tong, Huan [4 ]
机构
[1] Tsinghua Univ, Inst Future Human Habitats, Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China
[2] Shenzhen Univ, Coll Mechatron & Control Engn, Shenzhen 518052, Peoples R China
[3] Harbin Inst Technol, Sch Architecture, Harbin 150001, Peoples R China
[4] Harbin Inst Technol, Sch Architecture, Shenzhen 518055, Peoples R China
[5] Hong Kong Polytech Univ, Fac Construct & Environm, Dept Bldg & Real Estate, Kowloon, ZS1201,12-F,South Tower,Block Z, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Climate change; Urban heat island; Building simulation; Representative concentration pathways; Urban canopy model; THERMAL COMFORT; GRID INCREMENT; SUMMER YEARS; WRF MODEL; HOT; ADAPTATION; PERFORMANCE; EXPANSION; PATTERNS; CITIES;
D O I
10.1016/j.enbuild.2025.115386
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
While global climate change (GCC) and urban heat island (UHI) effects have been extensively studied separately, their combined impact on urban microclimates remains poorly understood. This study introduces a novel lightweight simulation procedure that effectively integrates these two phenomena to assess their combined impact on urban microclimates in three representative Chinese megacities. By validating the selected global climate model (GCM) using observed weather data from the last decade, we demonstrate that incorporating UHI effects into future urban weather condition downscaling significantly improves prediction accuracy for local air temperature, reducing MRMSE by 0.56 degrees C, 0.34 degrees C, and 0.11 degrees C (17.09 %, 15.15 %, and 4.30 %) in Beijing, Shenzhen, and Shanghai. Moreover, simulation of prototypical building models in urban areas based on future representative year (FRY) weather data reveals that the changes in future cooling energy consumption range from -3.26 % to 100.24 % compared to cooling energy consumption under TMY with most positive change ratios. The trend of heating energy consumption can vary in cities from -98.68 % to 15.78 %. This integrated approach advances the understanding of combined impacts of climate change and heat island on urban environments and provides a computationally efficient framework for future urban climate predictions.
引用
收藏
页数:23
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