The effect of regional, urban and future climate on indoor overheating – A simplified approach based on measured weather data, statistical evaluation, and urban climate effects for building performance simulations

IF 3.9 Q2 ENVIRONMENTAL SCIENCES
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引用次数: 0

Abstract

As summer heat events cause a further increase of heat load in buildings, the need for indoor overheating assessment by building performance simulations (BPS) for planning is rising. Besides other boundary conditions, the selection of proper weather data is known to significantly influence the outcome of overheating evaluation. Our research pointed out that current standards do not consider weather data including regional differences, urban climate effects or future climate in a sufficient way.

We suggest a new approach to create weather data sets for an average present and an average future summer based on meteorological data from weather stations. Therefore, we define characteristic summer values as indicators. In addition, urban climate is taken into account by mapping the outdoor temperature differences between urban areas and surrounding countryside using Local Climate Zones. We analyse the developed weather data sets for four regions in Germany by comparing the indoor overheating risk by BPS for an exemplary building. The results show that the overheating risk differs significantly between the regions. It is very low for the region of Hamburg, moderate for Dresden and Potsdam and highly critical for Stuttgart. The indoor heat load is at least more than doubled if the building is located in the city centre instead of its surroundings or if future climate conditions are applied. Furthermore, high night-time outdoor temperatures appear to significantly increase indoor overheating. Our approaches are first suggestions and show the relevance of regional and urban climate for indoor overheating assessment by BPS.

区域、城市和未来气候对室内过热的影响--基于实测天气数据、统计评估和城市气候影响的简化方法,用于建筑性能模拟
由于夏季高温事件会进一步增加建筑物的热负荷,因此通过建筑性能模拟(BPS)进行室内过热评估以制定规划的需求日益增加。众所周知,除了其他边界条件外,选择适当的天气数据也会对过热评估结果产生重大影响。我们建议采用一种新方法,根据气象站的气象数据,创建当前和未来平均夏季的气象数据集。因此,我们将夏季特征值定义为指标。此外,我们还利用地方气候区绘制了城区与周边乡村的室外温差图,从而将城市气候考虑在内。我们分析了所开发的德国四个地区的天气数据集,并通过 BPS 对示范建筑的室内过热风险进行了比较。结果显示,不同地区的过热风险差别很大。汉堡地区的过热风险非常低,德累斯顿和波茨坦的过热风险适中,而斯图加特的过热风险则非常高。如果建筑位于市中心而不是周边地区,或者采用未来气候条件,室内热负荷至少会增加一倍以上。此外,夜间室外温度过高似乎会显著增加室内过热。我们的方法是首次提出的建议,表明了地区和城市气候与 BPS 室内过热评估的相关性。
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
City and Environment Interactions
City and Environment Interactions Social Sciences-Urban Studies
CiteScore
6.00
自引率
3.00%
发文量
15
审稿时长
27 days
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