Ports play a key role in increasing the decarbonisation of urban environments in mitigating environmental impacts of maritime transport and promoting sustainable intermodal mobility. Various efforts have been made for increasing energy self-sufficiency of ports. The present proposal focuses on an integrated multidisciplinary and multiscale digital approach fostering the decarbonisation of port areas developing energy-saving procedures, strategies and Renewable Energy Systems (RESs) tailored to ports areas. The proposed methodology foresees a multi-scale approach considering buildings, port areas (districts) and the surrounding areas (regions), including marine and inland surfaces using different scale-based software as BIM (Building Information Modeling ), GIS (Geographic Information System), ENVI (Environment for Visualizing Images), SNAP (Sentinel Application Platform) tools and open source platforms such as Copernicus, Google earth, MEERA-2 (Modern-Era Retrospective analysis for Research and Applications, Version-2) and ECMWF (European Centre for Medium-Range Weather Forecasts). This multiscale and multidisciplinary approach is intended to develop theoretical models for identifying and quantifying the potential Energy Efficiency Solutions (EESs) and potential of RESs requalification interventions rethinking and decarbonising port areas. Furthermore, artificial intelligence (AI) has been considered to design and develop a control system and management of RESs for decision making monitoring and modelling the energy production and needs. This AI system will be applied to the generated energy source based on various parameters of the RESs used in ports, especially real and potential production, power supply equipment, access control and safety equipment. Finally, the developed multiscale and multidisciplinary approach will be tested into 4 ports of Lazio Region characterized by different contexts, sizes and end uses to improve the model and foster its replicability.
