SOURCE-LINKED INTELLIGENCE

TWINSHIP – INTEGRATED DIGITAL TWIN FRAMEWORK TO ENABLE GREEN SHIP OPERATIONS TOWARDS ZERO EMISSION VESSELS

CORDIS · observation · Publication date unknown

, 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 ded

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recordType

award

status

SIGNED

region

EU

value

7700000

unit

EUR