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Housing plays a key role in the world path to energy transition, and retrofitting buildings is a major asset to this end. Unfortunately, despite the supporting measures and incentives promoted in many countries, the renovation rate is still too slow. This is even more complex within some specific assets, such as social housing, which, especially in Italy, depends on the availability of public funds. The study proposes a predictive tool conceived as an enabler in the decision-making process, capable of considering and comparing the performance levels that different retrofitting actions can reach, according to building features, intervention costs, timing, and resource availability. The tool is tested on a social housing case study in Bologna. [ABSTRACT FROM AUTHOR]

Housing is the main environmental impact generator (62 %) of the whole building sector, but it also has the greatest reduction potential. Enhancing its performance is thus crucial to sustainable development. Social Housing (SH) represents a critical asset within the residential segment, due to the recurrent investment shortage and several environmental, social, and economic related implications. In Italy, SH is held by around one hundred public agencies facing endemic resource constraints for both maintenance and retrofitting, which are limited further by a diffused lack of information regarding the conditions and features of the buildings they manage. In cooperation with an Italian SH agency (ACER Bologna), we developed a speedy tool to compare the technical and economic effects of different refurbishment scenarios on a case-by-case basis. This is not a tool to manage retrofitting works, as the many already available, but a means to help large housing managers overcome the intention-action gap that limit their capacity to properly prioritize interventions based on reliable information. The research focuses on the validation of the fast procedure for estimating the baseline energy scenario, arguing that the relatively small inaccuracies are irrelevant for the scope of the tool and are compensated for by the time saved. [ABSTRACT FROM AUTHOR]

The world economic crisis has further depressed the Italian production of social housing but it dramatically increased the demand of affordable rental dwellings. A refurbishment and retrofitting campaign of the social housing stock appears to be as a credible and effective strategy, able to be applied in the short term to bring this gap, at least partially. Some results of a research in progress on the topic are presented in this paper. The first one is a classification model of the main typology of retrofitting and densification of social housing projects, issued from an investigation on several European case-studies. On this base, the research established a set of design criteria, able to couple the improvement of energy, functionality and comfort performances with the increasing of the use intensity of the built stock. Finally, an application of this method on a pilot-case is described. [ABSTRACT FROM AUTHOR]

Recent surveys on the condition of the Italian school building stock provide information on its relevant seismic behavior and fire safety levels, however no information is made available on its thermo-hygrometric conditions and energy behaviour, despite the fact that the former has a considerable impact on the use and physical conditions of indoor environments and the latter plays a fundamental role in limiting the buildings operating costs, as literature abundantly shows. This paper reports the results of a study carried out on a sample of Italian school buildings, substantiating their high levels of energy consumption, and describes the application of a specific method of analysis used for identifying the main causes of these, therefore allowing to propose some possible strategies for retrofitting, aimed to improving the building energy efficiency and environmental quality, by way of simulations and validation of their relevant effects and benefits. [ABSTRACT FROM AUTHOR]