Bi-Level Scenario-Based Optimisation of Alternative Energy Systems for Inland Navigation
R.S.A. Anku (TU Delft - Mechanical Engineering)
J.F.J. Pruyn (TU Delft - Mechanical Engineering)
C.H. Thill (TU Delft - Mechanical Engineering)
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Abstract
This study investigates the implications of alternative energy adoption for inland vessels at both the system and operational levels. At the system level, hybrid powertrain sizing and energy demand estimation are based on confined-water hydrodynamics and expected operational profiles. At the operational level, scenarios of bunkering station distribution along discretised nodes of the Rotterdam - Antwerp corridor as a use case are analysed using a network-based approach coupled with mixed-integer linear programming (MILP). Results show that a vessel’s operational profile and the spatial deployment of refuelling infrastructure strongly influence energy storage requirements. These insights provide a foundation for optimisation and trade-off analyses, supporting informed decision-making for the sustainable transition of inland navigation.