The project aims to optimize the operation of the fully electric vessel MS Mainau using AI-assisted components. To enable energy-efficient maneuvering, the ship operators will be supported by a digital twin. This digital twin contains a mathematical, data-driven model of the vessel and calculates the optimal route while considering wind and current conditions. This route is combined with an optimal speed profile so that an overall energy-efficient maneuver can be planned, taking into account not only the parameter of energy consumption but also additional constraints such as travel time and safety. In the future, the results of the project could be applied to other ships or ferries and may also contribute to the development of a partially autonomous watercraft.

Goals and Approach

The primary goal of the project team is to make maritime transportation more energy efficient. For this purpose, a mathematical, data-driven model in the form of a digital twin will be developed. Based on this model, an assisted operation of the vessel will be enabled, which could achieve energy savings of up to 20%. Another key component of the project is the clear explanation and visualization of the artificial intelligence used. This is intended to foster understanding and acceptance of the technology among ship operators as well as among citizens and tourists.

Innovations and Perspectives

By combining digital twins, data-driven modeling, and artificial intelligence, new approaches for more efficient and sustainable ship operations are being developed. The methods created within the project could potentially be transferred to other vessels and application areas, thereby contributing to the reduction of energy consumption and emissions in maritime transport. In the long term, the project also opens up new opportunities for intelligent assistance systems that support vessel operations and further advance the digitalization of maritime mobility.