This project is part of the general context of the energy transition and the reduction of the environmental impact of the building sector, which accounts for 1⁄3 of CO2 emissions in Switzerland and about 45% of energy consumption. Driven by the federal council and its 2050 energy strategy, building remediation projects will intensify in the next decade.

The Assainissement 4.0 project aims at developing rapid pre-diagnosis tools to estimate the energy and structural performance of a building stock based on Machine Learning. The objective is to accelerate and reduce the cost of developing strategic intervention plans at the scale of a city or entire building stock by exploiting available digital data.