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

Abstract

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.

Forecasting of energy efficiency in buildings using multilayer perceptron regressor with waterwheel plant algorithm hyperparameter

“…According to their findings, orientation does not have much impact on the change of HL and CL. (Lops, C., et al, 2023;Caroprese, L., et al, 2024) use deep learning framework (DLF) to enhance precision of fifth-Generation Mesoscale Model (MM5) weather variable predictions through sophisticated architecture through around gated recurrent unit neural networks. The DLF improves the accuracy of MM5 forecasts, leading to enhanced precision in predictions.…”