Navis Introduces New Bunker Saving Hull & Propellor Performance Tool

by Ship & Bunker News Team
Wednesday August 2, 2017

Operational technology firm Navis has announced a new module for its fleet performance management software Bluetracker to track hull performance.

The new module, Hull Monitor, identifies performance impacts via speed loss calculations and visualizations, including corrections for influencing factors such as weather in accordance with the ISO 19030 standard on hull and propeller performance monitoring.

"The effects of the condition of the ship's hull and the propeller on the bunker consumption of a ship are significant and measurable," says Navis.

"With Bluetracker Hull Monitor, ship managers and owners are able to access data from ongoing ship operations, on the basis of which they can determine the optimum point in time for a maintenance measure on the underwater hull. Ship managers, informed via an automatic notification function, can also react much more quickly to sudden, exceptionally high speed losses or changes to the hull outside of defined limits – e.g. in case of damage due to grounding, etc. – and thus save on extra expenditures for fuel."

The company says its Bluetracker Hull Monitor also offers complete transparency based on the KPI calculations, including drill-down functionality all the way to the raw data details.

"The IMO Ship Energy Efficiency Management SEEMP has recognized the importance of hull performance, but did not specified how to use this potential. Thanks to the new approach of Bluetracker Hull Monitor, ship owners and managers can use the collection of the hull's lifetime data to monitor the adaptive regression and define suitable hull maintenance events exactly when maintenance is needed," says Guenter Schmidmeir, General Manager EMEA at Navis,

"They also can verify the performance effect of the taken measurements e.g. a new coating or hull cleaning. As a data specialist the software module includes plausibility checks and automatic notification if the data deviates from the defined standard to ensure a reliable data quality."