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Toward advanced representations of the urban microclimate in building performance simulation

机译：建立绩效模拟中城市小循环的先进代表

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The present paper is concerned with the potential of empirically-based methods to capture the microclimate variance across a city and its implications for the performance of buildings. We explore the possibility to explain microclimatic variance across an urban area based on geometric and semantic attributes of specific locations. We use high-resolution and dynamic weather data streams across numerous urban locations in the city of Vienna, Austria. Using advanced data extraction methods, the values of a number of urban attributes that are hypothesized to contribute to the urban microclimate variance (e.g. morphological factors, semantic properties of urban surfaces) are derived for these locations. The results point to the likelihood that correlations between location-based climatic conditions and distinct urban attributes exist and could be potentially harnessed to formulate empirically-based algorithms for generating customized microclimatic boundary conditions.
机译：本文涉及基于经验的方法，以捕获城市的微气候方差及其对建筑物性能的影响。我们探讨了基于特定位置的几何和语义属性来解释城市地区跨城市区域的微观方差的可能性。我们在奥地利维也纳市的众多城市地区使用高分辨率和动态天气数据流。使用高级数据提取方法，假设为城市小循环方差的许多城市属性的值（例如，形态因素，城市表面的语义特性）是为这些位置推导出来的。结果指出存在基于位置的气候条件与不同城市属性之间的相关性的可能性，并且可以潜在利用以制定基于经验的基于算法，​​以产生定制的微跨越边界条件。

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