Vessel operation can be complex and varied, with many factors affecting fuel consumption. The human factor is a significant contributor to this variability, as individual driving styles can have a significant impact on fuel consumption. Small changes in the way a vessel is operated can result in significant differences in fuel usage, even when traveling the same route.
To illustrate this, let’s consider the operation of a passenger ferry that travels from point A to point B. In the graphs below, we see the fuel consumption over the last 500 seconds of one day’s operation. While the ferry travels the same route and requires the same maneuvering, there are significant variations in fuel consumption. The second graph shows the deviation with GPS locations in trips from point A to point B. In the graph the fuel consumed in the different operations is also shown.
These variations are not only found in fixed route operations like this ferry but also in non-fixed route operations. The human factor has a significant part when it comes to the fuel consumed in a vessel. Small changes in manoeuvering and route cause large changes in fuel consumption in very similar trips.
Analyzing the data to see these variations
It is challenging to identify these variations without analyzing data. However, the iHelm platform provides a solution. By utilizing AI, iHelm provides recommendations for eco-driving, helping to minimize fuel consumption. These recommendations can adapt to changing conditions, including external factors such as wind and current, ensuring optimal performance at all times.
The human factor is a critical component of vessel operation, but with the assistance of iHelm, operators can minimize variations in fuel consumption and achieve optimal performance. With continuous learning and adjustment, iHelm can help vessel operators operate their vessels with greater efficiency, reducing fuel consumption and ultimately lowering costs.