Abstract
This study puts forward an optimal speed decision-making method for a coastal bulk carrier as an important energy efficiency practice. Firstly, the ship resistance model is established considering the impact of multiple environmental factors, such as wind, waves and shallow water; on this basis, according to ship–engine–propeller interaction mechanism, the ship energy consumption model is established. Then, the ship speed optimisation model is established and the multi-objective genetic algorithm is applied to obtain the most fuel-efficient speed set. Finally, a coastal bulk carrier is selected for a case study to implement the proposed method, and the fuel saving as well as the economic and environmental benefits are analysed. The results indicate that the proposed speed optimisation method can calculate the optimal speed for each leg of shipping line and that the total fuel consumption of the target ship can be reduced by 8.47% through increasing the sailing time and expanding the low-load operational range of the main engine. This study can help the crew members to improve the energy efficiency management of ships.
Published Version
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