DNV GL to develop fuel quality tool

24 Jun 2015
Dr Torsten Büssow:

Dr Torsten Büssow: "Our web-based portal structures this vast amount of data, which would normally be difficult for individual owners and operators to analyse"

DNV GL is joining forces with Veritas Petroleum Services (VPS) to develop a new module for its ECO Insight fleet performance management solution.

DNV GL says by tapping into the world’s largest fuel sampling database the module will allow owners, operators and managers to determine how fuel quality can result in performance differences between similar vessels.

“Fuel quality is a factor which is often overlooked in performance management, but it can have a significant impact. We recommend carrying out lab tests on bunkered fuel,” said Bjørn Olav Odland, VPS Nordic Countries. “Together with DNV GL we can now tap into the wealth of data generated by these tests and make it available to customers aiming to improve their fleet’s performance.”

ECO Insight is said to provide a comprehensive and easily accessible way to manage the performance of a fleet, including voyage, hull and propeller, engine and systems performance.

It’s also said to improve customers’ own fleet reports with industry data, such as Automatic Identification System (AIS) or satellite weather and provides unique benchmarking capabilities. Advanced engineering methods, for example hull fouling prediction based on computational fluid dynamics (CFD), are also included in the portal.

“DNV GL and VPS have started to work on the design of the new module in January, the second half of 2015 will be used to implement it into ECO Insight. Our web-based portal structures this vast amount of data, which would normally be difficult for individual owners and operators to analyse – enabling them to make more informed business decisions,” added Dr Torsten Büssow, head of fleet performance management, DNV GL.

In addition, the Navigator Insight software carries out smart plausibility checks against specific vessel particulars to examine ensure the quality of the data collected onboard.

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