Data-driven ship energy efficiency analysis and optimization model for route planning in ice-covered Arctic waters. (15th August 2019)

• Record Type: Journal Article
• Authors: Zhang, Chi; Zhang, Di; Zhang, Mingyang; Mao, Wengang
• Is Part Of: Ocean engineering. Volume 186(2019)
• Publication Date: 2019-08-15
• Subjects: Ship energy efficiency -- Optimization model -- Route planning -- Arctic navigation; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2019.05.053
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: 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. Highlights: A data-driven model for predicting energy efficiency of ships in ice-covered waters is investigated. The ship speed for optimum energy efficiency in various ice conditions is recommended. A routing model is developed for ships searching optimum energy efficiency routes in ice-covered water. A case study of Chinese merchant vessel Yong Sheng is carried out.