Green ship monitoring

GreenSteam’s machine learning platform can make sense of the complex factors that impact vessel performance, help to build accurate performance models for a vessel and highlight where inefficiencies lie.

This technology is a perfect fit for Green Ship of the Future as it will help support GSF’s goal to explore the road towards zero emission maritime transportation.

GreenSteam’s machine learning Discover service will be used as part of the GSF 2019 Retrofit project, to investigate the effect of different fuel saving technologies, or combination of these technologies, have on vessel performance. The Discover service, which can be applied to all vessel types, will be used to build an accurate performance model of the project vessel and identify a wide range of opportunities to improve efficiency. Discover will also highlight any changes to the vessel performance created by the introduction of the different technologies to the ship and remove ‘noise’ by understanding external factors such as hull fouling, sea state and weather conditions.

Anne Katrine Bjerregaard, Head of Green Ship of the Future, commented “The role of digital technology in energy efficiency and emission reductions is a core topic in Green Ship of the Future. GreenSteam’s application of machine learning is a great example of how data can deliver deep insight into operational efficiency, leading to measurable financial gains and emission reductions. Accordingly, we are very pleased to welcome GreenSteam and their expertise into GSF and our work towards a sustainable development of the maritime industry, and as a partner in our 2019 retrofit series.”

GreenSteam is a marine data intelligence company specializing in improving vessel efficiency through machine learning. GreenSteam implements solutions on vessels of all types. Founded in 2007, GreenSteam is located in Denmark, United Kingdom and Poland, and currently employs more than 30 people. GreenSteam is majority owned by BP/Castrol.

By Jake Frith