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Real-time, Adaptive and Innovative Energy Management Solutions to Optimise Fuel Consumption and Lower Emissions Pollutants in Waterborne Transport (ZEWT Partnership)

This call aims to develop advanced energy management systems (EMS) leveraging artificial intelligence (AI) and machine learning (ML) to optimize ship operations, minimize fuel consumption, and reduce harmful emissions in waterborne transport. Projects should focus on real-time monitoring solutions for energy flows and emissions, development of adaptive energy management systems, design of centralized or modular ship energy architectures, and showcase flexibility using simulation methods for different vessels. The goal is to improve supervision, forecasting, and real-time control of ship energy needs, contributing to emission reductions and compliance with regulatory frameworks.

Opening Date: 06 May 2025
Deadline: 04 September 2025

Data provided by Sciencebusiness.net

This funding opportunity represents a pre-agreed draft that has not yet been officially approved by the European Commission. The final, approved version is expected to be published in the first quarter of 2025. This draft is provided for informational purposes and may be used to preliminarily form consortia and develop project ideas, but it is offered without any guarantees or warranties.

Expected Outcome

Leverage AI and ML to optimize ship energy use, improve real-time control of energy flows, develop adaptable optimization strategies, enhance emission monitoring for regulatory compliance, and improve ship design concepts.

Scope

Develop AI-driven energy management systems for real-time optimization of ship operations, including monitoring energy flows, emissions, adaptive control, and designing energy architectures for various ship types.

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