
Data tools to enable maritime decarbonisation
In this paper, a machine-learning algorithm first created by Wärtsilä to estimate global shipping emissions – and subsequently ‘trained’ with additional data inputs – has been turned into a tool for analysing the impact of CII on the global fleet. The CII Insight tool reveals ratings, the fall-out point from which vessels will lose compliance, and the difference that multiple technical and operational solutions will have on current rating and fall-out point.
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