Register for a free trial
Social

Green award winner helps reduce OSV emissions

Mon 20 Mar 2017

Green award winner helps reduce OSV emissions
The AutoMode version of enginei can reduce fuel consumption and emissions

Royston’s AutoMode capability for the enginei system, which helps optimise fuel consumption, won the 2017 Environmental Award, which was sponsored by Moore Stephens

Awarded to a company, project or product that has made a significant contribution to a reduction in the environmental footprint of the offshore support vessel (OSV) industry, the 2017 Environmental Award went to UK-based Royston and its specialist fuel monitoring technology. The award recognised the successful introduction of the new enginei AutoMode detection system which optimises OSV fuel consumption across different vessel operating phases.

The automatic detection of different operational modes enables more reliable vessel and engine performance data to be produced and analysed. This means that on board engineers and offshore fleet management staff are able to make more informed and accurate decisions based on trusted information on fuel consumption, with consequent improvements in vessel efficiency and emissions control.

Damian McCann, product manager for enginei fuel management systems at Royston, said: “With the marine sector moving inexorably towards the greater use of intelligent onboard data, the successful ability of the enginei system to accurately monitor and manage fuel consumption is essential to improving a vessel’s operating efficiency. The OSJ award is a real mark of maritime industry quality and we are delighted to have been recognised in this way.”

The enginei system uses volumetric and mass flow measurement for enhanced fuel data analysis and engine reporting options that give vessel owners and operators detailed performance data, fuel optimisation rates and mission critical information.

The accurate monitoring of performance during different modes can therefore have a significant impact on the economic operation of the vessel. To meet this need Royston developed an upgraded version of the enginei fuel management system that uses sophisticated data processing and statistical analysis to automatically identify the vessel’s operational mode. By identifying individual operational modes automatically, the auto-mode capability removes the risk of human error introduced by the manual intervention of crew members and avoids the consequent risk of misinterpretation of engine and voyage data. In this way, the automatic detection of operational modes enables more reliable vessel and engine performance data to be produced. This means that onboard engineers and offshore fleet management staff are able to make more informed and accurate decisions based on trusted information on fuel consumption.

Development of the auto-mode system included trials undertaken in partnership with offshore vessel owner GulfMark using the platform supply vessel Highland Prince. In tests undertaken on the vessel, engine and fuel data was gathered by the enginei system to enable performance comparisons to be made between crew-pressed operational mode and the automatic predicted mode. Engine and other sensor data was collected and analysed by the system to develop control limits for different operational modes. These profiles were used to automatically identify changes in the operational behaviour of the vessel as they occurred.

On Highland Prince, AutoMode demonstrated the ability to enhance voyage planning with optimum speeds and fuel consumptions achieved during transit. Arriving on time at ‘eco speed’ contributes to reducing transit consumption and standby time at the installation and consequently the fuel burnt when in standby mode. In addition, the conversion of the fuel consumption data will also enable accurate CO2 and other emissions levels to be calculated and operational adjustments to be made. Having more accurate performance also enabled the shipowner to look at the actual working hours of individual engines and more effectively balance their use at optimal levels of power output and to prioritise service and condition-based maintenance requirements.

Other entrants that were shortlisted for the Environmental Award were:

  • Plan B Energy’s battery-based storage system and CoolCell and Thermal-Stop safety systems
  • MI-SWACO for its automated tank cleaning system, recently adopted by Statoil, which means personnel need not enter the tanks on a vessel to clean them
  • MAN Diesel & Turbo for the dual-fuel propulsion system for Heerema’s semi-submersible crane vessel Sleipnir, a package that ensures full fuel-flexibility and more than meets NOx Tier III emission limits at all times during operation on LNG and MGO