Smart digital twin for the future energy optimized fossil-free travel

The focus of the project is to develop an intelligent digital twin to explore the optimization of energy consumption and energy storage in order to future-proof the electrification of an airport, the vehicle fleet, and fossil-free travel. For example, real-time and past data are being used to simulate future grid load and energy usage at the airport under different potential scenarios; such as an increase in the number of electrical vehicles, more passenger car charging or additional solar capacities. Data from flight operations systems can control how and when aircraft are heated, and data from parking customers can be used to control when parked electric cars are charged.

The project´s objective is to develop knowledge and competence in advanced digitalization linked to smart digital twins in the area of energy optimization. The project also aims to produce a demonstrator solution of a digital twin for selected parts of Arlanda. The digital twin will combine rule-based AI and machine learning to analyze large amounts of data from various sensors to find ways to control, simulate, optimize, and streamline energy use.