A multi-objective energy efficiency optimization method of ship under different sea conditions

Abstract

With the increasing need for environmental protection and the related advancement of relevant laws and regulations, ship energy efficiency optimization has become an important research topic. In this study, a multi-objective optimization model of ship energy efficiency based on the multi-objective particle swarm optimization algorithm is designed. The model uses the main engine speed as the optimization variable, and the ship's fuel consumption and sailing time as optimization objectives. Additionally, considering that the ship's sailing state can be affected by different sea conditions, the sea conditions are clustered by using the K-means clustering algorithm. Then, the route is divided, and the main engine speed is optimized for each segment. The results show that the solutions can reduce the fuel consumption by up to 25.28 % or the sailing time by up to 17.08 %. In the Ideal Solutions can reduce the fuel consumption by up to 3.98% or reduce the sailing time by up to 2.37%. Thus, the proposed model could effectively optimize the ship's energy efficiency. And it is necessary to consider the relationship between fuel consumption and sailing time when identifying the most suitable solution to meet real-world needs.