GreenSteam has partnered with DFDS to develop and supply an enhanced performance platform. The platform aims to allow crews to optimise operations in real-time, in order to reduce emissions.
This collaboration aims to contribute to DFDS’s ‘short-term tonnage adaption plan to use decision support systems and technology to cut its greenhouse gas emissions by 25-35% over the next ten years.
The first service which will be established on the new enhanced performance platform across DFDS’ full fleet is Dynamic Trim Optimizer (DTO). DTO captures high frequency performance data from on-board sensors and applies this with the ship’s digital model to calculate the best trim settings to improve efficiency. According to estimation, DTO could reduce annual fuel consumption by up to 6%.
The software also aims to enable the building of vessel specific models for each ship that creates a platform for real-time decision support to make live changes.
This can happen by creating a digital performance model of the vessel based on data across 13 different variables. This information will then turn into operational recommendations while the vessel is in transit. These insights give the ability to crewmember to make fuel-saving decisions in real time.
Commenting on the collaboration, Jacob Pedersen, Head of Projects and Implementation, DFDS, said that machine learning can lead to significant reduction in fuel consumption.
The rollout of the hardware across DFDS’ fleet will beging at the beginning of Q4 2020 and is expected to run through into early 2021.