Improving Path-following Performance of Autonomous Ships in Adverse Weather Conditions: A CFD Study

Category Machine Learning

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A multinational team of researchers has used a CFD model to study the path-following performance of autonomous ships in adverse weather conditions. Their findings suggest that increasing propulsion power can improve performance in some cases, and the proposed CFD-based model allows for more accurate assessments of minimum propulsion power requirements.


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"With the increasing focus on reducing greenhouse gas emissions in the maritime industry, the use of autonomous ships has gained significant traction. A key requirement for these ships is the ability to follow a pre-determined sea path, even in adverse weather conditions. However, accurately assessing their path-following performance has been a challenge," explains Assistant Professor Daejeong Kim from the National Korea Maritime & Ocean University .

Autonomous ships are a promising solution for reducing greenhouse gas emissions in the maritime industry.

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