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Case studies

Customer:

A Singaporean owned offshore support company operating a fleet of 20 ships.

Problem:

Vessels operating in Asia for oil majors. Management team suspicious that vessels are operating at excessive speed and the vessel was a very high user of fuel and pilferage was suspected.

Solution:

Vessel operator fitted an enginei system to monitor both main engines, speed and position giving them a complete overview of the ships operational profile and making the crew fully accountable for the vessels fuel usage; whilst also proving to the customer that the logging of fuel used was accurate, reliable and free from human interaction. The first vessel which has now been in the field for 3 months and is providing invaluable data back to the operations department and vessel manager. The vessel has stayed within the required 10knots speed and has improved efficiency and bunkering of fuel on the vessel has dramatically reduced by the month.

Customer:

The worlds largest Tug operator operating worldwide with a UK fleet of 87 tugs.

Problem:

Due to ever growing costs the vessel owner underwent a review across all regions of their operation to identify areas where savings may be realised through new technology. One operational concern that they were aware of but didn’t have the data to take any decisive action on was the inefficient operation of the vessels by the Crews going to and from towage jobs creating unnecessary fuel use which was adding up to significant costs over the year for each tug.

Solution:

Fitted enginei system with fuel consumption gauge in the wheelhouse to heighten awareness of fuel.

Management carried out analysis of logged enginei fuel consumption data to identify best practise through free running trials to build fuel consumption and speed curves to provide an operating matrix of the most efficient speeds, RPM and pitch settings for the individual tugs in their various geographical areas.

Management included the key stake holders in the project in order to embed best practice, i.e. involving the Captains and crew in the project and all information must be presented with them in mind. By following these strategies they have made a significant leap forward in understanding how best to operate its fleet to minimise unnecessary fuel usage whilst maintaining the service levels demanded by its customers.

The tug operator has seen a 20% like-for-like reduction in fuel consumption on some of its vessels on like for like jobs.

Customer:

A publicly listed operator of 12 coastal oil tankers.

Problem:

As with all shipping companies our customer wanted to make a reduction to their bottom line costs and their biggest cost is fuel. They required accurate recording of fuel consumption in order to manage their consumption through remote monitoring which had historically been manually recorded and was inaccurate and inefficient.

Solution:

Fitted enginei fuel optimisation system to an initial 2 vessels. They fitted the system blind with no bridge display. The operator and Royston monitored fuel consumption for 4 weeks. Then the optimisation display was installed and the Captain trained how to use it. The consumption data was monitored for another month. The difference between the two totals was a decrease in consumption of 4.2% in ballast and 3.7% loaded which equated to a monetary saving of £480,000 across the fleet of 12 vessels or £40,000 per vessel and has therefore given them a ROI (return on investment) well within 12 months. Based on these figures they have rolled out enginei across the fleet.

Customer:

A Southern European workboat operator with a fleet of eight tugs.

Problem:

With a new build program underway, part of the operarators new build pledge and specification of the build of their largest most powerful tug the 75 Bollard pull vessel was to manage fuel costs more closely and make her as efficient and cost effective as possible in order to get a quicker return on investment.

Solution:

The customer installed enginei during the build and put flow meters on all oil consumers which included: two main engines, two auxiliary engines and a harbour generator set.

They now use the enginei data to run trials in their operating region to find the most efficient propulsion settings and the shore staff now have complete transparency over how the tugs crew are running the vessel and with a little education and training they are able to shut down generators when not required, free run at optimised speeds and run the vessel far more efficiently.