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Eniram releases new solution

 

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LNG Industry,

Eniram Ltd has announced the release of Eniram Fleet Route KPIs, a new solution designed to provide additional energy efficiency optimisation.

Eniram Fleet Route KPIs (key performance indicators) is delivered via Eniram Fleet, a proprietary web-based application that enables ship owners and operators, to gather, store and analyse data such as fuel consumption per engine, engine power, speed-power and LNG tank data across an entire fleet.

The system enables fleet managers to identify savings in key areas by flagging performance deviations and monitoring specific performance parameters. A breakdown of propulsion power data can be used to pinpoint areas of energy loss due to affects such as changing weather conditions, including wind and sea state.

Eniram Fleet Route KPIs offers deeper insight for each vessel. The key elements of the Route service include illustrations of individual vessel routing performance against other industry vessels and simulation of all the recorded tracks against sailed dates and conditions. After the leg has been sailed, Eniram Fleet runs the simulation and KPIs for the route are given. Comparing a vessel’s performance on the same leg helps find optimal routes. All information is delivered in graphic and map format via the easy-to-use web-based interface.

The Route KPIs are based on ranking from 1 - 10 (lower ranking is better). Ranking indicates the position in the industry. For example ‘cost ranking 2’ means the leg was sailed within 20% of the best in the industry. A cost efficient routing is a balance of the components. Ranking components include, for example, current, mean wind, distance over ground, ECA-areas, distance inside MARPOL areas and squat. For exact routing advice, Eniram offers additional services.

Henrik Dahl, CEO of Eniram, said: “Eniram Route KPIs offer savings by revealing the weakest areas in routing so the customer knows the areas to concentrate on. With our enhanced route advice capabilities, we can further support crew decision making based on a unique simulation and KPI approach.”

Edited from press release by