Objective
The TwinShip consortium is spearheading an initiative to transform the maritime sector by creating an alliance of premier maritime technology, solution & service providers, ship design and shipping firms, classification societies, ports, software developers, and research and academic bodies. This collaboration is centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial intelligence capabilities. By introducing a Digital Twin (DT) enabled Decision Support System (DSS) in the same digital platform, TwinShip is setting a course for the maritime industry's rapid digital and environmental transformation. The project sets ambitious benchmarks for reducing Greenhouse Gas emissions in international shipping, aiming for a 30-40% reduction by 2030, 80-90% by 2040, and achieving net-zero emissions by 2045, all relative to 2008 levels by utilizing its Pilot Vessels and Futuristic Unmanned Vessel Concept. This initiative focuses on leveraging both existing and emergent clean fuels and technologies, prioritizing renewable energy sources, and the implementation of unmanned vessels. The TwinShip DT-enabled DSS is crafted to navigate the industry toward achieving these significant environmental targets, demonstrating the consortium's dedication to fostering sustainability and pushing the boundaries of innovation.
SINTEF's role in the project
SINTEF Smart Data group acts as an R&D technology provider in the HE TwinShip project, focusing on how data is integrated and shared between different maritime systems and digital twins. The SINTEF Smart Data develops and tests methods for data integration and interoperability so that information from ships and related services can flow smoothly and be reused across tools that support safer and greener ship operations.
Project website
Funding
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101192583.