A voyage planning tool for Arctic transit of cargo ships
Paper in proceedings, 2019

The paper presents a decision-support tool for maritime operations in Arctic seas. This tool targets at improving the safety and fuel efficiency of existing and future cargo vessels that are designed to operate in Arctic and in open water conditions. It is achieved by smart voyage planning using meteorological, oceanographic and ice forecasting.

A single-objective optimization for minimizing the fuel consumption in various scenarios of Arctic transits is established, with the transit time and the safety as the two major constraints. The tool is implemented in an in-house Matlab code, which is based on Dijkstra’s algorithm, a grid-based approach that aims at finding the most cost-efficient path connecting any chosen nodes in a given grid. Results from case studies along the Northern Sea Route indicate that the tool generates appropriate routes in ice-infested Arctic waters. The fuel consumption accounting for ice-induced extra resistance is optimized and the risk of collision with icebergs has been considered.

Arctic shipping

Dijkstra’s algorithm

fuel efficiency

Northern Sea Route

voyage planning

Author

Zhiyuan Li

Chalmers, Mechanics and Maritime Sciences, Marine Technology

Jonas Ringsberg

Chalmers, Mechanics and Maritime Sciences, Marine Technology

Francisco Rita

Chalmers, Mechanics and Maritime Sciences, Marine Technology

Proceedings of The ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2019)

1-8 OMAE2019-95128

The ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering (OMAE 2019)
Glasgow (Scotland), United Kingdom,

SEDNA - Safe maritime operations under extreme conditions: the Arctic case

European Commission (EC), 2017-06-01 -- 2020-04-30.

Driving Forces

Sustainable development

Innovation and entrepreneurship

Areas of Advance

Transport

Energy

Subject Categories

Applied Mechanics

Other Materials Engineering

Energy Systems

Marine Engineering

Roots

Basic sciences

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

DOI

10.1115/OMAE2019-95128

ISBN

9780791858875

More information

Latest update

12/8/2020