Double Skin Façades for Building Retrofitting and Climate Change: a Case Study in Central Italy

• DOI: 10.20944/preprints202306.0698.v1
• Publication Date: 2023-06-12T00:50:18Z
• Authors: Camilla Lops; Samantha Di Loreto; Mariano Pierantozzi; Sergio Montelpare
• Keywords: Technology; QH301-705.5; regional climate model; T; Physics; QC1-999; MM5; Engineering (General). Civil engineering (General); 7. Clean energy; building energy retrofitting; Double-Skin Façades; climate change; regional climate model; dynamic energy modelling; MM5; CORDEX; Chemistry; climate change; 13. Climate action; building energy retrofitting; Double-Skin Façades; climate change; regional climate model; dynamic energy modelling; MM5; CORDEX; 11. Sustainability; TA1-2040; Biology (General); dynamic energy modelling; building energy retrofitting; Double-Skin Façades; QD1-999

In recent years, the need to make the built environment more resilient and adaptable to climate change has become increasingly evident. In Europe, this aspect concerns the vast majority of existing buildings, which present several deficiencies from the energy-efficiency point of view, considering they were designed before the introduction of modern energy codes. Nowadays, it is possible to retrofit existing buildings using advanced and high-efficient technologies such as Double Skin Façades (DSFs). The research aims to evaluate the use of properly designed DSFs for the energy restoration of existing buildings. In detail, various DSF configurations are applied to a residential building located in central Italy and investigated under present and future climate conditions, estimated through regional climate models. The results underline that all the analysed Double Skin Façades confirm to be a useful option, and, in particular, the Multi-Storey typology allows drastic energy needs decrement. Moreover, the general increase in temperatures and solar radiations could affect the building energy performance, and the insertion of DSF can mitigate the climate change effects, reducing the predicted energy consumption and ensuring better behaviours than the building in its original state.