Machine learning solutions provider GreenSteam and short sea operator Unifeeder announced they are expanding their partnership to deploy digital technology for reducing fuel consumption, in line withe industry’s ambitious targets on GHG emissions reduction.
While vessels are still considered one of the most environmentally friendly solutions for transporting goods, the great scale of the maritime industry adds significantly to air pollution.
In recent years, IMO’s MEPC has introduced a strategy focusing on reducing annual GHG emissions from international shipping by at least 50% by 2050 compared to the levels in 2008.
In regard to the above, the companies see the use of digital technology to reduce fuel consumption as one of the most prevalent and promising tactics in pursuing these ambitious targets.
Together we have proven the concept through a pilot study and based on the promising results, we are now ready to expand the partnership and deploy the platform to more of our vessels,
…says Annemette Jepsen, COO of Unifeeder.
Understanding how to reduce fuel consumption is a complex process which involves several variables. GreenSteam’s platform looks for combinations of variables that mostly affect fuel consumption.
Based on these findings, machine learning delivers accurate insights into where large and small efficiency gains can be made and then delivers predictive advice on how to optimise the vessel’s performance.
GreenSteam’s platform, developed over the last decade specifically for the marine sector, is now available with a data-only based service as well as onboard solutions that provide real-time decision support for voyage optimization.
