Eniram Launches Next Generation Fleet Performance Monitoring Service

Eniram has this week launched their next generation fleet performance monitoring service at the Baltic Exchange in London.

The launch of Skylight follows their recent acquisition by Wärtsilä.

Skylight aims to optimise vessel performance by facilitating better management of ship operations and business for owners and operators.  It provides automatic performance reporting every five minutes based on the continuous movements of the ship.

Data is sent via satellite to Eniram’s data centre and together with noon reports, the data is combined with meteorological, sea state and currents information to generate models on the vessel’s speed and performance.  This ensures that each fuel speed curve can be calculated without the need for onboard integration or installations.

Data is generated in real-time and the software keeps records of the ship’s past performance in order to generate more in-depth and immediate reporting, planning and cost optimisation.  According to Eniram, increasing visibility and transparency enables operators to manage their businesses more effectively,

Furthermore, Eniram expects Skylight to make charter party monitoring more transparent and near real-time by generating an enhanced normalised fuel curve that can help to improve the optimisation of commercial operations.

The software is available on a subscription-based service with a portable two-way transponder that is attached to the rail of the ship by the crew. The customer has instant access to the collected and analysed performance data via Fleet, Eniram’s cloudbased software interface. Reports are also sent to the customer in a PDF format for easy storage.

Jan Wilhelmsson, Vice President Commercial Shipping at Eniram commented: “Delivering performance monitoring through portable equipment as a service enables operators with shorter business cycles to get the benefits of advanced data analytics. As satellite connectivity is rapidly improving, this type of service is a natural first step in the utilisation of real-time data for fuel performance optimisation.”

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