Abstract
To achieve IMO’s goal of a 50% reduction of GHG emission by 2050 (compared to the 2008 levels), shipping must not only work towards an optimization of each ship and its components but aim for an optimization of the complete marine transport system, including fleet planning, harbour logistics, route planning, speed profiles, weather routing and ship design. ShipCLEAN, a newly developed model, introduces a coupling of a marine transport economics model to a sophisticated ship energy systems model – it provides a leap towards a holistic optimization of marine transport systems. This paper presents how the model is applied to propose a reduction in fuel consumption and environmental impact by speed reduction of a container ship on a Pacific Ocean trade and the implementation of wind assisted propulsion on a MR Tanker on a North Atlantic trade. The main conclusions show that an increase of the fuel price, for example by applying a bunker levy, will lead to considerable, economically motivated speed reductions in liner traffic. The case study sowed possible yearly fuel savings of almost 21 300 t if the fuel price would be increased from 300 to 1000 USD/t. Accordingly, higher fuel prices can motivate the installation of wind assisted propulsion, which potentially saves up to 500 t of fuel per year for the investigated MR Tanker on a transatlantic route.
Highlights
Shipping today accounts for 90% of all freight transport
ShipCLEAN, a newly developed model, introduces a coupling of a marine transport economics model to a sophisticated ship energy systems model – it provides a leap towards a holistic optimization of marine transport systems
This paper presents how the model is applied to propose a reduction in fuel consumption and environmental impact by speed reduction of a container ship on a Pacific Ocean trade and the implementation of wind assisted propulsion on a MR Tanker on a North Atlantic trade
Summary
Shipping today accounts for 90% of all freight transport. Forecasts of the world’s transportation needs in 2050 show that it will double the current level. In this study a novel model, “ShipCLEAN”, a coupled model including ship performance prediction and maritime transport logistics, is introduced and applied to two case studies. The main objectives of the study are to demonstrate how the ShipCLEAN model can be used to minimise the fuel consumption without compromising with the logistics planning, and to demonstrate how the implementation of energy saving measures can be economically motivated. In an example of a container carrier on a Pacific Ocean route, it is shown how higher fuel prices will economically motivate lower ships speeds and lower fuel consumption.
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