Abstract

This study identifies and proposes A GIS-based exploration of the relationships between aspect ratio of inner courtyards, porosity of the urban fabric and the climatic factors where it is located. To perform that comparison, morphological and measurement methods have been used to delineate spatial boundaries of urban densification. This methodology has been applied to a case study in Spain, where regulation establishes several climatic zones. Examples of cities in these zones have been examined to establish possible correlations. This paper analyses the particularities of these different urban scenarios, considering the effects of climate on the real urban densification. The purpose of this study is to find a relationship between the historical inner courtyards dimensions and the climate of the zone where they are located. In order to frame the real thermal behaviour of the inner courtyard in the context of the vernacular typologies studied, a representative sample of inner courtyards has been selected. The monitoring data presented allow quantifying the courtyard’s ability to temper the maximum temperature values.

Highlights

  • Among all the passive-cooling systems, the inner courtyard is one of the most effective and is used, primarily in warm climates

  • This study identifies and proposes A Geographic Information System (GIS)-based exploration of the relationships between aspect ratio of inner courtyards, porosity of the urban fabric and the climatic factors where it is located

  • For all the cities located in warm climates with severe summer conditions (Cordoba, Seville and Toledo) the Aspect Ratio (AR) is between 2 and 2.8, while the AR increases to 4.7–5.1 for colder climates (Burgos and Zaragoza), giving rise to narrower courtyards

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Summary

Introduction

Among all the passive-cooling systems, the inner courtyard is one of the most effective and is used, primarily in warm climates This effect is favourable during both winter and summer [1], and is more significant in the latter. Cities and towns are warmer at night than rural areas due to the absorption of solar radiation by the urban pavements and buildings. Jurelionis and Bouris [4] applied computational fluid dynamics methods in order to calculate surface pressure distributions on building surfaces for three city models and two wind directions. From another perspective, Garcia-Nevado et al analysed the solar performance at the urban canyon intersections [5]

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