湿热地区城市热岛效应和气候变化对高层住宅制冷需求的综合影响

Athar Kamal, I. Hassan, Liang Wang, M. A. Rahman
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摘要

气候变化评估对于制定长期解决方案来解决我们目前面临的居住问题至关重要。本研究结合气候变化和城市热岛效应的影响,研究未来天气条件对湿热气候下高层住宅制冷的影响。对于2050年,我们通过城市天气发生器计算了城市特征的影响,并通过世界天气生成工具计算了气候变化对卡塔尔多哈附近新建城市卢塞尔市一个地区的微气候条件的影响。总共有四个天气文件与从该市建立的气象站收集的天气数据进行比较(两个为2020年,三个为2050年)。结果表明,开放天气图文件经城市天气发生器(UWG)处理后,经气候变化模式处理后,MAE增大到3.30,RMSE增大到3.8,最大偏差为11.4°c。反之,先应用气候变化模式,再应用UWG文件,MAE为3.46,RMSE为3.94,最大偏差为11.3°c。然后在卢塞尔的一座高层住宅楼上评估这些天气文件的影响。首先通过气候变化模式然后通过城市天气生成器处理的开放天气地图文件(与农村天气文件相比)显著增加了777197千瓦时或20%;在首先通过UWG然后通过气候变化模式处理的开放天气图文件中,可以看到增加了739983千瓦时或19%;最后,在先通过气候变化模型再通过气候变化模型处理的开放天气图文件中,可以看到接近22.6%的增长,即874088千瓦时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating Combined Impact of Urban Heat Island Effect and Climate Change on Cooling Requirements of Tall Residential Buildings in Hot-Humid Locations
Climate change estimates are critical in developing long-term solutions to the dwelling problems that we currently face. This study combines the impact of climate change and the urban heat island effect to study the outcomes of future weather conditions on the cooling of tall residential buildings in hot and humid climates. For the year 2050, we calculate the impact of urban characteristics through the urban weather generator and climate change through the world weather gen tool on the micro-climatic condition of a district in a newly constructed city near Doha, Qatar, the Lusail City. A total of four weather files are compared to the weather data gathered from the established weather station in the city (two for the year 2020 and three for the year 2050). Results reveal that once the open weather map file has been processed through the urban weather generator (UWG) first and then the climate change model, the MAE increases to 3.30, and the RMSE goes to 3.8 with a maximum deviation of 11.4°c occurring. If the process is done the other way around, the climate change model is applied first, and then the UWG file is applied, the MAE of 3.46 is with RMSE of 3.94 with a maximum deviation of 11.3°c occurring. The impact of these weather files is then assessed on a tall residential building in Lusail. A significant increase of 777197 kwh or 20% is seen in the openweather map file that has been processed first through the climate change model and then through the urban weather generator (as compared to the rural weather file); an increase of 739983 kwh or 19% is seen in the openweather map file that has been processed first through the UWG and then through the climate change model; finally close to 22.6 percent increase or 874088 kwh is seen in the openweather map file that has been processed first through the climate change model and then through the climate change model.
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