A voyage planning tool for Arctic transit of cargo ships
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 met...
Published in: | Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology |
---|---|
Main Authors: | , , |
Language: | unknown |
Published: |
2019
|
Subjects: | |
Online Access: | https://doi.org/10.1115/OMAE2019-95128 https://research.chalmers.se/en/publication/e3e6795b-9652-43a6-955d-c4344e0f305f |
_version_ | 1835010500754145280 |
---|---|
author | Li, Zhiyuan Ringsberg, Jonas Rita, Francisco |
author_facet | Li, Zhiyuan Ringsberg, Jonas Rita, Francisco |
author_sort | Li, Zhiyuan |
collection | Unknown |
container_title | Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology |
description | 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. |
genre | Arctic Iceberg* Northern Sea Route |
genre_facet | Arctic Iceberg* Northern Sea Route |
geographic | Arctic |
geographic_facet | Arctic |
id | ftchalmersuniv:oai:research.chalmers.se:520815 |
institution | Open Polar |
language | unknown |
op_collection_id | ftchalmersuniv |
op_doi | https://doi.org/10.1115/OMAE2019-95128 |
publishDate | 2019 |
record_format | openpolar |
spelling | ftchalmersuniv:oai:research.chalmers.se:520815 2025-06-15T14:18:20+00:00 A voyage planning tool for Arctic transit of cargo ships Li, Zhiyuan Ringsberg, Jonas Rita, Francisco 2019 text https://doi.org/10.1115/OMAE2019-95128 https://research.chalmers.se/en/publication/e3e6795b-9652-43a6-955d-c4344e0f305f unknown Applied Mechanics Other Materials Engineering Energy Systems Marine Engineering Arctic shipping fuel efficiency voyage planning Dijkstra’s algorithm Northern Sea Route 2019 ftchalmersuniv https://doi.org/10.1115/OMAE2019-95128 2025-05-19T04:26:15Z 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. Other/Unknown Material Arctic Iceberg* Northern Sea Route Unknown Arctic Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology |
spellingShingle | Applied Mechanics Other Materials Engineering Energy Systems Marine Engineering Arctic shipping fuel efficiency voyage planning Dijkstra’s algorithm Northern Sea Route Li, Zhiyuan Ringsberg, Jonas Rita, Francisco A voyage planning tool for Arctic transit of cargo ships |
title | A voyage planning tool for Arctic transit of cargo ships |
title_full | A voyage planning tool for Arctic transit of cargo ships |
title_fullStr | A voyage planning tool for Arctic transit of cargo ships |
title_full_unstemmed | A voyage planning tool for Arctic transit of cargo ships |
title_short | A voyage planning tool for Arctic transit of cargo ships |
title_sort | voyage planning tool for arctic transit of cargo ships |
topic | Applied Mechanics Other Materials Engineering Energy Systems Marine Engineering Arctic shipping fuel efficiency voyage planning Dijkstra’s algorithm Northern Sea Route |
topic_facet | Applied Mechanics Other Materials Engineering Energy Systems Marine Engineering Arctic shipping fuel efficiency voyage planning Dijkstra’s algorithm Northern Sea Route |
url | https://doi.org/10.1115/OMAE2019-95128 https://research.chalmers.se/en/publication/e3e6795b-9652-43a6-955d-c4344e0f305f |