AERIAL LIDAR AND INFRARED THERMOGRAPHY FOR URBAN-SCALE ENERGY ASSESSMENT AND PLANNING

Recent policies at the national and international levels showed the need for effective tools supporting policymaking. This study – primarily based on energy classification – uses thermographic pictures and GIS technology to define the energy needs of a district in Turin, Italy. Potential savings – in terms of primary energy consumption and carbon dioxide emissions – are assessed based on two retrofit scenarios and alternative energy supply options. A further element, i.e. the photovoltaic potential, is introduced to assess – starting from classified LiDAR data – the possibility to introduce self-production forms for reducing even more the impacts of the energy sector. The results show the potential for further studies based on 3D modelling, oriented towards the implementation of a thematic layer for the Urban Digital Twin.