SOURCE-LINKED INTELLIGENCE

AI-driven Modular Platform for Emission-Reduction & Efficient Shipping

CORDIS · observation · Publication date unknown

xhaust monitoring systems providing accurate, real-time data on key pollutants (CO2, NOₓ, SOₓ); 2) hybrid digital twins that merge the robustness of physics-based models with the adaptive accuracy of machine learning to optimize vessel performance with the EMS; 3) development of optimised ship energy architectures; and 4) an intuitive, crew-centric decision support dashboard that translates complex analytics into clear, actionable guidance. The modular adaptable EMS architecture can adapt to any vessel, leveraging existing hardware with minimal installation. AIMPERES will validate this retrofit-ready EMS system at TRL6 across inland, coastal, and deep-sea shipping vessels. By delivering fuel savings of at least 5% and emission reductions of 12–25%, AIMPERES makes sustainability a profitable business case, especially for SMEs, and provide a vital bridge to future zero-emission solutions by reducing overall energy demand and building operational readiness. Our cross-sector consortium, uniting leading research institutions, industry innovators, and maritime educators, covers the entire

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recordType

award

status

SIGNED

region

EU

value

4169231

unit

EUR