Multi-Disciplinary Design

We will develop an integrated, mission-driven ship design optimisation framework that enables systematic exploration, development and ranking of design alternatives across operational scenarios. Multi-objective optimisation will allow ship concepts to be evaluated consistently against hydrodynamics, energy efficiency,
emissions, and regulatory compliance. We will enable trade-offs at the level of the complete vessel and its mission rather than optimising individual components in isolation.

Verification, Validation and Performance Prediction

We will provide integrated, high- accuracy performance prediction capabilities for sustainable ship, propulsion and MPS from design and verification to trials and in-service operation. The prediction method will combine experiments, CFD, full-scale reference data, operational data, physical system testing and data-driven models in a consistent, validated and uncertainty-aware methodology. We will move towards an integrated performance prediction ecosystem, where model testing, numerical simulation, and operational data continuously reinforce each other.

Operational Performance and In-Service Improvement

We aim to establish an integrated, data-driven and measurement-supported framework for assessing and improving ship performance in service. We will link full-scale measurements, troubleshooting observations, operational profiles and as-is MPS performance baselines with model tests, CFD and MPS simulations. The aim is to understand how ships and systems actually perform under real operating conditions, to explain deviations from predicted behaviour, to identify practical improvement potential for existing vessels and future designs.