Real-time, adaptative and innovative energy management solutions to optimise fuel consumption and lower emissions pollutants in waterborne transport (ZEWT Partnership)
Pays one research project up to EUR 4 million to build AI-based energy-management systems that cut ship fuel use and emissions in real time.
The sensor and monitoring work this topic wants isn't generic environmental tracking -- it's meant to feed directly into enforcing specific regulatory frameworks already on the books, from the EU's own Sulphur Directive and Non-Road Mobile Machinery Regulation to the international MARPOL Annex VI rules on ship air pollution, so a proposal's instrumentation choices have to line up with what those r…
The Commission wants AI and machine-learning-based energy management systems for ships that optimise fuel use and cut emissions in real time, integrating new fuel types, propulsion systems, wind-assisted propulsion and energy-storage technologies into one adaptive control system. Proposals should demonstrate the approach across at least three case studies — inland waterways, coastal shipping and deep-sea shipping — using simulation methods across a range of vessel types.
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