The Construction and Application of Dual-Objective Optimal Speed Model of Liners in a Changing Climate: Taking Yang Ming Route as an Example

In a changing climate, ship speed optimization plays an important role in energy conservation and emission reduction. In order to establish a dual-objective optimization model of minimizing ship operating costs and reducing carbon emissions, fuel costs, berthing costs, emission costs and fixed cost during sailing cycles, the emission reduction strategies of ships using MGO in emission control areas and the AMP in ports are taken into account. The PSO algorithm is adopted to find the Pareto solution set, and the TOPSIS algorithm is used to screen the optimal compromise solution, while Yang Ming, a trans-Pacific route, is selected to verify the applicability of the model. The result shows that the optimization model can effectively reduce the operating cost during sailing cycles and control carbon emissions, which can provide references for ship operation decision-making to achieve carbon peaking and carbon neutrality.

Automated summary

In a changing climate, ship speed optimization is crucial for energy conservation and emission reduction. To establish a dual-objective optimization model, the study considers fuel costs, berthing costs, emission costs, and fixed costs during sailing cycles, and takes into account emission reduction strategies using MGO fuel in emission control areas and AMP devices in ports. The PSO algorithm is used to find the Pareto solution set, and the TOPSIS algorithm is applied to screen the optimal compromise solution. The model is validated using the trans-Pacific route of Yang Ming, and the results demonstrate its effectiveness in reducing operating costs and controlling carbon emissions.