A trim optimising solution installed by DFDS has produced annual fuel savings of 6%.
Ferry group DFDS is using GreenSteam’s Dynamic Trim Optimizer (DTO) to optimise vessel trim settings during roro voyages.
DTO provides dynamic optimisation throughout the voyage to enable DFDS to improve fuel efficiency, said GreenSteam head of performance management Jonas Frederiksen.
DTO takes data from GreenSteam’s onboard sensors, along with data from vessel systems, weather and sea-state information. It uses this to calculate, in real-time, optimal vessel trim settings that will maximise operational efficiency. DTO provides a continuous update of trim advice to the crew, supporting actionable decision-making for the captain.
“When implemented, it produced annual fuel savings of up to 6%,” Mr Frederiksen told Passenger Ship Technology’s sister publication Maritime Optimisation & Communications. He said other shipping companies can follow this example and make the most of trim optimising solutions.
“Shipowners should take the first step towards machine learning as soon as possible to optimise performance and gain financial benefits,” says Mr Frederiksen. “By reducing fuel wastage, shipowners can save costs, cut emissions and help contribute to reaching IMO’s CO2 reduction goals.”
GreenSteam offers machine learning tools including Discover, Fouling Analyser, Trim Planner and Speed Optimiser. DTO combines the historical baseline performance model generated by the Discover tool with real-time data from onboard sensors, vessel systems, weather and sea-state information.
“Through this data, the onboard console and shore-side operations monitor the trim setting, and calculate optimal trim for current sailing conditions,” says Mr Frederiksen. “This enables the crew to make operational adjustments to minimise potential fuel wastage.”
“To optimise these factors during a voyage, shipowners need to collect enough data on them to understand how they impact fuel consumption,” Mr Frederiksen explains. “Machine learning is the only approach capable of fully digesting the volume of data needed to ensure this level of understanding and build an accurate picture over time.”