ClassNK joins project to verify GHG emission reduction through AI-based voyage optimisation technology

ClassNK has joined a joint project to objectively verify reductions in fuel consumption and greenhouse gas (GHG) emissions achieved in actual vessel operations through the use of an AI-based autonomous navigation system. 

The project aims to verify the effectiveness of AI-based voyage optimisation in reducing fuel consumption and GHG emissions under real operating conditions and to establish an objective verification methodology. Using an actual commercial vessel operated by Evergreen Marine Corporation, the project will utilise the autonomous navigation system ‘Samsung Autonomous Ship (SAS)’ developed by Samsung Heavy Industries Co., Ltd. (SHI), together with meteorological and oceanographic data provided by Weathernews Inc. (WNI).

Through analysis of the vessel’s operational data and fuel consumption, the project will verify the effectiveness of AI-based voyage optimisation technology. ClassNK will contribute to enhancing the objectivity and credibility of the findings through technical review of the verification methodology and independent evaluation of the project results.

To implement the project, the four parties signed a Memorandum of Understanding (MOU) at Evergreen's headquarters and established a cooperative framework for verifying the GHG reduction effects of AI-based voyage optimisation technology.