Customer cases and downloads
“We achieved a fuel cost saving of $150,000 in just 6 months’ time. The Digital Twin proved to be essential for the analysis in which we monitored the impact of hull fouling on fuel consumption. Using only noon-reported data, this analysis could not have been done."
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"Samskip is very motivated to be the greenest supplier in market, also in future. Monitoring ship performance and taking informed decisions based on data is a no-brainer.”
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"We4Sea assisted Jumbo in our goal to maintain service speed with a minimal fuel consumption. The result: a 5.4% fuel efficiency gain and a 9.4% time gain. The Digital Twin proved to be essential for this task, as it could normalize data for effects of weather."
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"Hardware-based solutions come at a high cost. To put a sensor on board, a factor 10 often can be applied to the purchase cost of the sensor itself, due to installation, maintenance, and calibration. Model-based monitoring can be done at a fraction of the cost."
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The Ultimate Guide to Model Based Performance monitoring systems for ships
We4Sea has written a White Paper, with in-depth knowledge about the use of Digital Twin's in maritime and the methods used in Model Based Monitoring.
We explain how Model Based monitoring compares to noon report- and sensor-based monitoring, and how the Digital Twin can help you improve your vessel performance - without upfront investments in hardware.
This white paper also includes a table with an overview of the characteristics of the different monitoring solutions, for easy comparison. You're invited to request your own copy using the button below or send us an email via support@we4sea.com.
