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EPS uses AI for fuel-use forecasts accurate to within 1%
The major owner of oil and gas tankers and dry cargo ships is using artificial intelligence and digital twins to reduce fuel consumption and emissions
Eastern Pacific Shipping (EPS) is using artificial intelligence (AI)-driven software and digital twins to accurately forecast fuel consumption and improve vessel operations and maintenance scheduling.
The Singapore-based vessel owner is using DeepSea Technologies’ programs to model vessel behaviours and provide reliable speed and fuel consumption information to its customers. This has been deployed across the EPS fleet of around 300 ships on tankers, bulk carriers, vehicle carriers, container ships and gas carriers.
Sensors on EPS ships send real-time data through the vessel’s communications network to DeepSea’s AI-driven Cassandra platform, where it is analysed to generate insights to help EPS streamline its fuel consumption, ensure regulatory compliance and reduce its environmental impact.
EPS and DeepSea worked together to validate the technology involved and found this has delivered weekly fuel consumption forecasts accurate to within 0.8% of real use.
The fleet owner prioritised developing a robust data pipeline and validation process to improve fleet optimisation approaches as part of its digitalisation and decarbonisation strategy.
Using the AI technology, EPS aims to enhance vessel and fleet performance monitoring, improve reaction time to inefficiencies and drive forward its decarbonisation efforts.
“Performance is not the work of a single department, it is about giving the entire organisation the tools to make data-driven decisions. Good information enables good business,” said Eastern Pacific Shipping fleet optimisation manager, Pavlos Karagiannidis.
“With our unwavering focus on performance, DeepSea’s Cassandra platform empowers EPS to achieve new levels of operational efficiency and advance our sustainability goals.”
For DeepSea, this collaboration helped validate the digital twin, AI and forecasting software.
“This result is testament to the fact the technology now exists to model vessel behaviour incredibly accurately,” said DeepSea Technologies co-founder and chief executive Konstantinos Kyriakopoulos. “We can finally say it is a solved problem. The industry is quickly realising the availability and quality of data is now the limiting factor.”
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