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Flexible Tool Environment for Holistic Retrofits and Decarbonization of Ships

CORDIS · observation · Publication date unknown

total retrofit design space within reasonable time, which means that ship owners cannot be sure that the retrofit solutions are the best for a given vessel. FIT-HORIZONS aims to solve this by using a machine learning-based multi-fidelity approach and combining operational and experimental data series, advanced AI models, and advanced dimensionality techniques to build surrogate models that will then be used to construct 6 synthesis models representing each of the 6 ship types defined by the ZEWT Partnership. Moreover, a cost-benefit model will be integrated with the synthesis models to consider regulatory compliance and LCA metrics across the vessels’ lifetime. Together, this will allow for a flexible and efficient design process in which multiple combinations of retrofit technologies can be analysed at the same time to identify optimal retrofit solutions for a given vessel. Finally, virtual demonstrations will be carried out where ship designers will collaborate with ship owners to design 6 optimised retrofit solutions for vessels from each of the 6 ship types that will be ready to

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recordType
award
status
SIGNED
region
EU
value
3998318.53
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.