A voyage planning tool for Arctic transit of cargo ships
Paper i proceeding, 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.

Dijkstra’s algorithm

voyage planning

Northern Sea Route

fuel efficiency

Arctic shipping

Författare

Zhiyuan Li

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

Jonas Ringsberg

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

Francisco Rita

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

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

1234-1234 (ISSN)

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

Europeiska kommissionen (Horisont 2020), 2017-06-01 -- 2020-04-30.

Drivkrafter

Hållbar utveckling

Innovation och entreprenörskap

Styrkeområden

Transport

Energi

Ämneskategorier

Teknisk mekanik

Annan materialteknik

Energisystem

Marin teknik

Fundament

Grundläggande vetenskaper

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

Mer information

Skapat

2019-06-12