BetterFleet is an information portal designed to give a broad indication of the range of a vessel’s operational efficiency. Elements of BetterFleet, including the scales, map, and histogram, use satellite AIS data processed with a specialized computer model to calculate grams per ton-mile of CO2 emitted for any individual vessel. Presented in these forms, these data can enhance the understanding of how a vessel is operated over time.
The overview information in the map and individual ship histogram give a visual account of achieved efficiency over time. The comparison group histogram shows the 12-month aggregate EEOI value for all ships of similar type and size . Both histograms depict estimated EEOI values based on publicly available information in combination with engineering and statistical models developed by UMAS. The BetterFleet score depicted on a 1-10 scale shows where the 12-month average of the individual ship falls on the peer (ship type and size) histogram if the maximum and minimum values of the histogram were mapped onto a 1-10 range.
The overview information in the map and individual ship histogram give a visual account of achieved efficiency over time. The comparison group histogram shows the 12-month aggregate EEOI value for all ships of similar size . Both histograms depict estimated EEOI values based on publicly available information that has been analysed with advanced computer software. The BetterFleet score depicted on a 1-10 scale shows where the 12-month average of the individual ship falls on the peer histogram if the maximum and minimum values of the histogram were mapped onto a 1-10 range.
The data presented in BetterFleet can tell many stories about a ship’s operation. These data add perspective about the performance variability across a fleet of ships and within the annual activity of an individual ship. This information can enable conversations between the different stakeholders that might not already have access to similar data.
BetterFleet is not intended to replace data directly collected from vessels used to optimise a ship’s performance. Where such information is available, if it originates from good quality sensors and measurements taken from systems onboard a ship, it is likely to be of higher accuracy. BetterFleet’s input data and algorithms will be continuously improved and refined to ensure it can produce the best available estimates where access to onboard measurements is not possible.
Any comparative analysis can invite concern that it may not be a “fair” comparison. When aggregating data at an annual level (as is done in these calculations), the annual efficiency could include the influences of multiple stakeholders. The comparison is not therefore intended to ascribe responsibility, but invite interpretation and dialogue between different stakeholders. At this point, it is easiest to present the information attributed to individual ships, however we will continue to review if there are alternative ways to aggregate or attribute the data - for example, to other stakeholders.
For now, use examples include:
Shippers, cargo owners and charterers using shipping as part of their supply chain are often the ones who specify how the ship must be run, its schedule, and speed therefore strongly influence a ship’s operational efficiency, and exploring the variability of efficiency of ships operating on their supply chains, may indicate where opportunities for improvement.
Shipowners and operators, many of whom are already working to monitor and improve their efficiency, can use BetterFleet to provide an additional perspective and metric for the performance of their vessels, and to enable comparison, using a consistent format and calculation, against the operational efficiency of other similar ships.
Technology Providers, Innovators, and Entrepreneurs can also take advantage of the BetterFleet data. The unprecedented availability of operational efficiency data can accelerate the development of novel solutions for improving efficiency and will help existing providers refine their products.