Greece-based Metis Cyberspace Technology will be collaborating with MTI Singapore Branch and the Agency for Science, Technology and Research (A*Star) in Singapore to advance the use of AI for the predictive modelling of ship emissions and carbon intensity indicator (CII) evaluation.
The undertaking is part of a framework for co-developing AI and other digital technologies under a newly-established venture by A*Star to establish a Centre for Maritime Digitalisation (C4MD). The C4MD is led by A*Star’s Institute of High Performance Computing (IHPC). Signatories of the framework comprise: A*Star, ABS, Bureau Veritas Marine & Offshore, DNV, Metis Cyberspace Technology (Singapore), ClassNK, MTI, PSA Marine and ShipsFocus Services.
The Metis-MTI-A*Star project will focus on the way AI-based solutions can help shipping adjust to the IMO CII. Entering into force from 1 January 2023, the CII rates ships on the basis of CO2 emissions by transport work from A to E, expecting them to achieve a C rating or better, or explain how they will do so. However, the relationship between the KPI and the factors determining ship behaviours has not been fully studied.
Dr Su Yi, Executive Director, A*Star IHPC said: “The Centre for Maritime Digitalisation (C4MD) hosts and supports innovative maritime R&D initiatives in Singapore such as the flagship Maritime AI Research Programme. The translation and application of research capabilities across the value-chain will contribute to a safer, more efficient and more sustainable maritime industry, and strengthen Singapore’s competitiveness in the maritime sector.”
Eleni Polychronopoulou, President & CEO, Metis Cyberspace Technology, said: “We are delighted to work with A*Star’s IHPC and MTI on one of the key projects announced as part of the launch of C4MD. Owners face multiple options on how they improve their CII performance, and making the wrong choice can be costly. This project’s first target is to make the relationship between fuel consumption/emissions and the CII rating more transparent by taking full account the ship profile. Subsequently, we aim to develop a simulation platform to model future voyages and evaluate the real-time CII compliance status of a ship. An owner establishing a CII rating, or how to improve it, can consider factors including adjusting a ship’s sailing time ratio, speed profile, voyage profile, hull and propeller condition, specific fuel oil consumption, electrical consumption, trim, draught, or an engine de-rating. Modelling based on AI offers the opportunity to consider ‘what-if’ scenarios and assess how new methodologies or technologies can be introduced to reduce emissions without compromising operational performance.”
