000011161 001__ 11161
000011161 005__ 20241022163604.0
000011161 0247_ $$2doi$$a10.24868/11161
000011161 037__ $$aGENERAL
000011161 245__ $$aEnergy-Efficient Speed Planning Considering Delay and Dynamic Waterway Conditions for Inland Vessels
000011161 269__ $$a2024-11-07
000011161 336__ $$aConference Proceedings
000011161 520__ $$aThe inland waterway transport sector is facing increasingly stringent legislation to reduce emissions and improve energy efficiency. Speed planning methods are an attractive option as they provide energy-efficient, timely and emission-reducing voyage planning for ships. However, current methods do not consider dynamic conditions of waterways and traffic. Due to these dynamic navigational conditions the static speed planning methods do not guarantee optimality, nor do they satisfy the constraints of the optimization problem throughout the journey. In this paper we propose an optimization structure that is based on the Model Predictive Control algorithm, which uses the most current information on water depth, water speed and expected delays to re-optimize the speed planning throughout the journey. Through a use case we show a 4.31% energy reduction compared to other speed planning strategies. Additionally, we show that the constraints regarding desired arrival times and safety are satisfied throughout the journey. Therefore, the method proves useful from a logistical, energy, emissions, and safety perspective. Modelling of uncertainties, lock interactions and predictions of waterway conditions will make our method an even more attractive option for speed planning.
000011161 7001_ $$aSlagter, S$$uDelft University of Technology
000011161 7001_ $$aPang, Y$$uDelft University of Technology
000011161 7001_ $$aNegenborn, RR$$uDelft University of Technology
000011161 773__ $$tConference Proceedings of iSCSS
000011161 773__ $$jiSCSS 2024
000011161 8564_ $$uhttps://library.imarest.org/record/11161/files/.pdf$$99efb0e5a-4e68-41d4-b828-f02628f66391$$s2125954