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Keywords

Urban weather generator, GIS, Indoor overheating hours, Heatwaves, Building parameters, Natural cooling

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Abstract

Indoor overheating is a current problem due to increasingly higher external temperatures and more frequent and extreme heatwaves which specially impact naturally ventilated dwellings. This paper presents a methodology at neighbourhood-scale to analyse indoor overheating hours (IOH) of residential typologies and to investigate building parameters that most influence IOH. This study is based on energy simulations for two climate scenarios: typical meteorological year and extreme warm summer with heatwaves (2022), and the effect of urban microclimate is considered by using the Urban Weather Generator tool. Results with the typical meteorological year show 0% IOH for all dwellings, while those derived from simulation with summer 2022 show a significant increase in IOH with values above 30% IOH in the most overheated ones. The effect of microclimate is especially relevant in the extreme warm summer and increases the IOH by 7,5% on average. Among the building parameters studied, the number of orientations (related to potential of natural ventilation), orientation and the floor level of the dwellings have the highest influence on IOH. These results could help policy-makers and technicians detect the risk of overheating in cities and buildings and prevent it by improving the adaptation of the residential stock to current warming.

Note

This is an open access article under the CC BY-NC-ND license