250,000 Tonnes of Shipping CO2 Emissions Saved Thanks to Machine Learning Insight

Typography

Maritime engineers have trained an energy shipping app to save over a quarter of a million tonnes of CO2 emissions by applying machine learning to its predictive system.

Maritime engineers have trained an energy shipping app to save over a quarter of a million tonnes of CO2 emissions by applying machine learning to its predictive system.

Researchers from the University of Southampton and Shell Shipping and Maritime have developed a digital dashboard that helps captains respond to changing sea conditions.

The Just Add Water, or JAWS, app interprets depths and angles of a ship known as the draught and trim to optimise the amount of fuel and power needed in any given situation.

A new machine learning model was introduced through the partners’ Centre for Maritime Futures, which is spearheading digital and technological advances for safer, cleaner and more efficient shipping.

Read more at University of Southampton

Photo Credit: vschoenpos via Pixabay