Imagine if ports had a high-tech early warning system and self-healing walls to stop storm damage. This work creates digital twins—like a SimCity for ports—to predict floods and weather disasters before they happen. It also finds ways to reuse dredged mud to strengthen harbors instead of throwing it away.
Ports face increasing operational downtime and structural damage due to extreme weather and corrosion. This leads to costly repairs and disrupted supply chains across the Rhine-Main-Danube axis and other major waterways.
A suite of 10 pilots including digital twins for weather and flood control, automated corrosion monitoring systems, and nature-based solutions for maritime ports.
If you are a Port Authority dealing with aging quay walls and corrosion — this project developed an automated floating mobile measuring system that monitors infrastructure health. This reduces unexpected downtime and ensures operational availability during extreme weather.
If you are a construction firm dealing with high material costs for harbor repairs — this project developed methods for dredged sediment reuse in port infrastructure. This turns waste into a resource for building resilient quay walls.
If you are a software provider dealing with unpredictable inland waterway closures — this project developed a Digital Twin for extreme weather forecasts and connected infrastructure. This allows for real-time rerouting and better risk management for cargo.
Based on available project data, specific pricing or cost structures for the developed tools are not provided.
Yes, the project includes 10 pilot demonstrations across major hubs like Rotterdam, Antwerp/Brugge, Hamburg, and Constantza, which handle 35.5% of European container traffic.
Based on available project data, the project aims to create an Open Innovation Ecosystem to promote collaboration and sharing of experiences, though specific licensing terms are not listed.
The project runs from 2024-05-01 to 2028-04-30, with the objective that beneficial results will be adopted in the short-term.
The project uses federated learning combining aerial drones, satellite data, and in-situ sensors for measurements and weather response.
The consortium is heavily weighted toward commercial application, with a 64% industry ratio (14 industry partners, including 7 SMEs). The presence of the top-3 European container ports (Rotterdam, Antwerp/Brugge, Hamburg) and the largest Black Sea port (Constantza) ensures that the technology is developed in the most demanding real-world environments, significantly reducing the gap between research and market adoption.
Contact the Technical University of Delft (TU Delft) regarding the CLARION project coordination.
Contact us to connect with the CLARION Open Innovation Ecosystem for early access to pilot results.
