The module is part of ECO Insight, DNV GL’s fleet performance management service that was announced at SMM in September 2014. It is based on computational fluid dynamics (CFD) methods to correct for changing operational conditions, and DNV GL claims it produces more accurate results than ‘existing approximate or experimental methods’.
According to the classification society, experts have suggested that the global fleet could be sailing with 30 per cent additional resistance due to fouling, resulting in higher fuel consumption.
The new performance module anlyses the gap between the theoretical and measured power demand of a vessel, after correcting for influences like speed, draft, trim, weather and other operating conditions. This data can then be used to inform decision-making as to when and how defouling should take place.
“We use data that shipping companies are already collecting,” said Dr Torsten Büssow, DNV GL’s head of fleet performance management.
“Our CFD capabilities, which we also use in our lines optimisation, retrofit and trim assistant services, allow us to very accurately normalise vessel specific power demand under each reported condition.”