SciTransfer
TwinShip · Project

AI-Powered Digital Twin for Zero-Emission Shipping and Autonomous Vessel Operations

transportTestedTRL 5

Imagine having a perfect digital clone of a ship that predicts exactly how it behaves in the real world. This tool acts like a high-tech flight simulator for captains and owners to test new green fuels and unmanned steering without any risk. It helps ships find the cleanest and most efficient way to cross the ocean.

By the numbers
30-40%
GHG emission reduction by 2030
80-90%
GHG emission reduction by 2040
net-zero
emissions by 2045
The business problem

What needed solving

Shipping companies struggle to reduce greenhouse gas emissions while maintaining operational efficiency. There is a lack of reliable tools to test new green fuels and unmanned operations without risking expensive physical assets.

The solution

What was built

An open-source digital platform featuring a Digital Twin-enabled Decision Support System and a Futuristic Unmanned Vessel Concept.

Audience

Who needs this

Commercial shipping fleet operatorsNaval architects and ship designersMaritime software developersGreen fuel technology providersPort authorities
Business applications

Who can put this to work

Maritime Logistics
enterprise
Target: Shipping Line

If you are a shipping line dealing with high carbon taxes and fuel costs — this project developed a Digital Twin Decision Support System that aims for a 30-40% reduction in emissions by 2030. This allows you to optimize routes and fuel use in a virtual environment before sailing.

Shipbuilding
mid-size
Target: Ship Designer

If you are a ship designer dealing with the transition to unmanned vessels — this project developed a Futuristic Unmanned Vessel Concept. This enables you to build and validate zero-emission ships using a data-driven digital platform.

Port Management
enterprise
Target: Port Authority

If you are a port authority dealing with strict environmental regulations for docking ships — this project developed an open-source digital platform for green operations. This helps you coordinate with vessels aiming for net-zero emissions by 2045.

Frequently asked

Quick answers

What is the cost or pricing for this software?

Based on available project data, the software is being developed as an open-source digital platform, though specific commercial pricing for the Decision Support System is not listed.

Can this be scaled to an industrial level?

Yes, the project utilizes Pilot Vessels and a consortium of 11 industry partners to ensure the technology works in real-world maritime environments.

Who owns the IP and how is it licensed?

The project is creating an open-source digital platform, suggesting a collaborative licensing model, though specific IP agreements are not detailed in the objective.

How does this help with maritime regulations?

It provides a Decision Support System to help vessels meet ambitious emission reduction targets, specifically aiming for net-zero by 2045.

What is the implementation timeline?

The project runs from February 1, 2025, to January 31, 2028, with targets set for 2030, 2040, and 2045.

Consortium

Who built it

The project is heavily industry-driven with a 58% industry ratio, featuring 11 industrial partners including 4 SMEs. This strong commercial presence, combined with 5 research bodies and 2 universities across 11 countries, indicates a high likelihood of practical market application rather than purely academic research.

How to reach the team

Contact Universitetet i Tromsø (Norway) for technical inquiries.

Next steps

Talk to the team behind this work.

Contact us to connect with the TwinShip consortium for pilot opportunities.

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