Gaggero, Mauro (National Research Council of Italy)

Optimizing the Transportation of CO2 Via Vessels in a Milk Run Network of Three Ports

Scheduled for presentation during the Poster Session "Modeling and Optimization of Mobility and Transport Systems " (ThBT14), Thursday, September 26, 2024, 14:30−16:30, Foyer

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on October 7, 2024

Abstract

The optimization of the transportation of CO2 through ships in a carbon capture and storage context is investigated by means of mixed-integer linear programming and a greedy heuristic approach. The goal is to schedule the berthing and departure times along with the optimal load of vessels carrying CO2 among three different maritime ports, by pursuing the minimization of the usage of temporary storage buffers available at the ports. Since solving the MILP problem can be computationally intensive, a greedy heuristic algorithm based on a threshold mechanism is introduced. This heuristic, with its lower computational requirements, can provide an initial solution to the MILP-based approach, thereby enhancing its performance. Simulation results are presented in two case studies to evaluate the effectiveness of the methods.