Physics-Informed Digital Twin & AI Decision Support System for Maritime Energy Efficiency (EcoPilot)

Research Project, 2026 – 2028

This collaborative project aims to develop the first scalable physics-informed AI-driven support system, EcoPilot, to advance shipping sustainability. By integrating physics-informed machine learning with AI-powered optimization, EcoPilot delivers real-time insights into optimal ship operation and performance monitoring, enhancing fuel efficiency and reducing emissions. This will help small- and medium-sized vessel operators cut fuel costs by up to 35%, thus, supporting the segment to comply with stricter environmental regulations and improve fleet performance. Our goal is to create a cost-effective, scalable solution that accelerates the decarbonization of short-sea shipping and inland waterway operations and making green shipping accessible to all.