Ship performance modelling through big data techniques (SPLINE)
Research Project , 2016 – 2017

Due to the increased awareness of air emissions and economic impact from energy consumption in shipping, as well as stricter environmental regulations, the maritime community is seeking for solutions to increase energy efficiency burning less fuel. According to a comprehensive survey of the entire shipping market by DNVGL1, the most promising measures aiming at reducing fuel consumption are the voyage optimisation for a ship’s sail planning and ship performance monitoring during sailing in seaways. One of the key components of the two measures is the so-called fuel consumption model, which should describe accurately a ship’s fuel consumption rate in terms of different weather and operation conditions. The fuel consumption model could be implemented in a sail plan system to predict fuel cost along different potential routes, and help to determine the optimised route with lowest fuel cost. The predicted fuel cost for certain operation conditions could also be compared with the actual cost to monitor a ship’s energy performance and guide a ship’s navigation.


Wengang Mao (contact)

Associate Professor at Chalmers, Mechanics and Maritime Sciences, Marine Technology

Leif Eriksson

Associate Professor at Chalmers, Space, Earth and Environment, Microwave and Optical Remote Sensing



Funding Chalmers participation during 2016–2017

Related Areas of Advance and Infrastructure

Information and Communication Technology

Areas of Advance

Sustainable development

Driving Forces


Areas of Advance


Areas of Advance

Innovation and entrepreneurship

Driving Forces

More information

Latest update