Eniram, provider of advanced decision support systems for the shipping industry, has today announced the results from a 136 day study that focuses on the areas of energy loss relating to propulsion and examines where there is an opportunity for performance improvements.
The data for this study was collected via Eniram’s Dynamic Trimming Assistant (DTA) which uses attitude sensors fixed onboard the container vessel, as well as information from the existing bridge and automation systems. With DTA the key metrics are presented to vessel officers at the bridge as an easy-to-read traffic light monitor (not enabled during this study), to dynamically monitor and optimise the trim.
The results of this study have clearly shown that sailing at non-optimal trim is the highest factor in the unwanted use of fuel that can actually be managed. The average percentage of propulsion power loss due to non-optimal trimming was 5%, whilst the vessel was on long, transoceanic legs.
During the study, the vessel operated at a number of different displacements. When the vessel was operated at a heavy displacement, close to the design displacement, the savings potential compared to operating at optimum trim was 2.2%. When operating the vessel at a medium displacement, the trim related savings potential grew dramatically to 6.8%.
During the 136 day study, the trim-related savings potential was calculated at 350 tonnes of HFO. Even if operational constraints meant that the ship was only able to follow an optimum trim 80% of the time, 280 tonnes of fuel would still have been saved. This saving would have resulted in a US$160,000 reduction in bunker costs for the vessel operator in less than 5 months.
As well as providing an improved awareness and understanding of vessel operations, the study also provided proof of major environmental benefits through the significant reduction in Greenhouse Gas emissions. By sailing the vessel at optimal trim during the 136 day voyage period the operator would have prevented around 880 tonnes of CO2 entering the atmosphere.
After the end of the study period, the Eniram DTA system was fully enabled on the vessel, providing the crew with a simple, real-time guide to both the vessel’s dynamic and optimal trims. The system now has been in use on the vessel for over 500 days and the actual savings achieved have been confirmed as 3.1%.
The results of this extensive study, and subsequent real-life utilisation, are quantifiable proof of the benefits of maintaining optimal trim and how it can not only provide the operator with key fuel and cost savings, but also significantly reductions in emissions. Eniram has also undertaken similar studies on a Cruise Ships, RoPax vessels and a VLCC tanker.
In addition to the savings, the performance related data collected from onboard the vessel is also able to give a broader view of the vessel’s performance, thanks to Eniram’s innovative FLEET solution. FLEET is an intelligent, web-based reporting tool that enables operators and owners to establish KPIs for monitoring vessel performance across their fleet. The tool generates reports for KPI tracking and comparison that will allow operators to measure, monitor and, if desired, incentivise overall vessel efficiency targets.
Eniram provides the maritime industry with novel decision support systems to reduce fuel consumption and emissions as well as to support decision making with information analytics. Eniram solutions range from single onboard applications to comprehensive fleet analysis. Eniram has accumulated extensive knowledge from the shipbuilding industry, seafarers and software specialists. Eniram has created a product portfolio to truly assist the shipping industry by providing tools for the crew and naval operations to enhance vessel performance and operations. Eniram solutions enable the industry to deal with the challenge of getting the right information to the right place in real time. Based on Eniram’s Vessel Management Platform, the company offers solutions in the areas of Performance improvement, Environmental savings and Information intelligence.
Source: businesswire, February 22,2011; Image: Eniram