EBOAT
Electric boat
The EBOAT project aims to develop a digital twin of a hybrid passenger vessel, based on the integration and analysis of experimentally collected data. The main objective is to create an advanced digital model capable of replicating the vessel’s real-world behavior, supporting the optimisation of its energy, operational and environmental performance.
By leveraging innovative digital technologies, the project seeks to improve the efficiency of hybrid propulsion systems, reduce energy consumption and contribute to the development of more sustainable solutions for the maritime mobility sector.
Project framework
National Recovery and Resilience Plan | Mission 4 – Component 2 – Investment 1.5
Call “Ecosistemi dell’Innovazione”
Program: iNEST – Interconnected Nord-Est Innovation Ecosystem
Spoke 3 – Porjects funded under cascade calls
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Geographical area: North-East Italy
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Duration: 12 months
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Start date: 01/11/2024
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End date: 31/10/2025
Financial framework
Total project cost: € 501.774,17
Co-funding: € 319.736,45
The EBOAT project focuses on the development of an advanced digital platform for the simulation and monitoring of hybrid passenger vessels. The project combines industrial research and experimental development activities, aiming to create an accurate and dynamic digital twin capable of faithfully representing the behavior of the real system under different operational conditions.
The digital model will be fed with experimental field data, allowing the analysis of interactions between the various energy and propulsion subsystems. This approach will support more efficient operational decisions, improve energy management, and reduce the overall environmental impact.
Technical Description
The project is based on an advanced combination of physics-based and data-driven models, built from experimental data collected on the real vessel.
The digital system is designed to simulate in real time the behavior of the main subsystems and optimize overall performance through:
- Modelling the hybrid propulsion system and its operational profiles
- Integration of energy storage systems and management of energy flows
- Analysis of experimental data for calibration and validation of the digital model
- Implementation of advanced algorithms for monitoring and predictive management
- Simulation of operational scenarios to optimize performance and energy consumption
- Support for maintenance activities through diagnostic and predictive tools
The integration of these elements allows dynamic analysis of the vessel’s behavior, improving energy efficiency and operational management.
The digital twin will include monitoring, forecasting and optimization functionalities, enabling the evaluation of different scenarios, identification of optimal operating strategies, and support for more effective operational decisions.
The approach developed represents a significant step towards the digitalization of the maritime sector, contributing to the deployment of advanced technological solutions for more efficient and sustainable maritime mobility.
