How to save up to 25% of fuel using data analytics

Fuel costs make up a significant portion of a tug’s operating expenses. But data collected and analysed from virtual mass-flow meters and engine sensors can provide actionable insights to masters and onshore teams to cut fuel consumption and reduce CO2 and greenhouse gas emissions.

Cetasol chief executive and founder, Ethan Faghani, said analysis of engine data can help vessel owners reduce fuel consumption and thus emissions by as much as 25% on workboats, tugboats, and support vessels.

Cetasol also uses digital twins of vessels to help predict how onboard machinery and captains will behave over a set period of time, said Mr Faghani during an interview at Riviera’s 28th ITS Convention in Gothenburg, on 19 May.

“Then, we have an agentic-AI to tell the captain the best course of action to take,” he said.

Fuel consumption is calculated from the temperature, pressure, and rpm of the engines. This information is displayed on the bridge and in fleet management offices on shore.

The introduction of AI assistants for fleet managers, captains, chief engineers, and shipping company board members is rapidly changing the technology landscape in the maritime, offshore, and ports sectors," said Mr Faghani.

“The whole world has changed in 2026. " If you look at the technologies now compared to six months ago, it is a revolution,” he said.