Data-driven ship energy efficiency analysis and optimization model for route planning in ice-covered Arctic waters
Journal article, 2019

As increasing numbers of merchant ships navigate in the Arctic waters, more energy efficient navigation in the Arctic is needed for both economic and environmental purposes. This paper aims to provide a comprehensive analysis of energy efficiency of ice-going ships. Firstly, a data-driven model based on neural network theory is developed to predict the energy efficiency of ships in the Arctic. Then, a route with optimum energy efficiency is presented, intended to cut costs and be as environmentally friendly as possible. Finally, a case study is carried out to analyze the performance of a case study ship sailing at various environmental conditions. The results indicate that when planning the route for such an Arctic ship, it would be shortsighted only to focus on distance rather than energy efficiency. Moreover, the model shows good agreement between the simulation and real-life navigation. It is expected that the construction of this multi-angle, energy efficiency optimization model could help to improve Arctic navigation.

Arctic navigation

Route planning

Ship energy efficiency

Optimization model

Author

Chi Zhang

Wuhan University of Technology

Di Zhang

Wuhan University of Technology

Mingyang Zhang

Aalto University

Wengang Mao

Chalmers, Mechanics and Maritime Sciences, Marine Technology

Ocean Engineering

0029-8018 (ISSN)

Vol. 186 106071

Subject Categories

Other Environmental Engineering

Other Civil Engineering

Energy Systems

DOI

10.1016/j.oceaneng.2019.05.053

More information

Latest update

7/16/2019