Voyage Optimization for All-Electric Vessels Integrated with Swappable Containerized Battery

Owing to the increasing concerns over the pollution released by the traditional ships, full electrification of shipping provides significant opportunities to reduce carbon emissions. However, disordered navigation will lead to an undesired cost and increased greenhouse gas emissions. This paper proposes a mixed-integer linear programming based model to optimize the voyage scheduling and energy management for all-electric vessels with the use of swappable containerized batteries. Furthermore, the impacts of capacity of battery containers and the pricing strategy of battery swapping stations are considered. A navigation route in the real world with a total of six ports is employed to conduct case study. Simulation results demonstrate the efficiency of the proposed method and with the support of the proposed method, a safe and economic voyage-battery swapping strategy is achieved.