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...

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Published in:Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology
Main Authors: Li, Zhiyuan, Ringsberg, Jonas, Rita, Francisco
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
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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
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institution Open Polar
language unknown
op_collection_id ftchalmersuniv
op_doi https://doi.org/10.1115/OMAE2019-95128
publishDate 2019
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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