Arctic Route Planning and Navigation Strategy: The Perspective of Ship Fuel Costs and Carbon Emissions

Arctic navigation research will be more urgent as it is predicted that 4.7% of the shipping trade will be deployed in the Arctic region by 2030. This paper presents a multi-objective path optimization algorithm based on the field theory to investigate Arctic shipping route design and navigation stra...

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Published in:Journal of Marine Science and Engineering
Main Authors: Aowen Chen, Weiqi Chen, Jian Zheng
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:https://doi.org/10.3390/jmse11071308
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spelling ftmdpi:oai:mdpi.com:/2077-1312/11/7/1308/ 2023-08-20T04:03:24+02:00 Arctic Route Planning and Navigation Strategy: The Perspective of Ship Fuel Costs and Carbon Emissions Aowen Chen Weiqi Chen Jian Zheng agris 2023-06-27 application/pdf https://doi.org/10.3390/jmse11071308 EN eng Multidisciplinary Digital Publishing Institute Ocean Engineering https://dx.doi.org/10.3390/jmse11071308 https://creativecommons.org/licenses/by/4.0/ Journal of Marine Science and Engineering; Volume 11; Issue 7; Pages: 1308 arctic route planning multi-objective optimization field theory fuel cost carbon emission Text 2023 ftmdpi https://doi.org/10.3390/jmse11071308 2023-08-01T10:38:22Z Arctic navigation research will be more urgent as it is predicted that 4.7% of the shipping trade will be deployed in the Arctic region by 2030. This paper presents a multi-objective path optimization algorithm based on the field theory to investigate Arctic shipping route design and navigation strategies that take safety, economy and environmental protection as factors. The algorithm considers the ice conditions in Arctic waters throughout the year, the energy consumption of ships with different ice classes and carbon emissions. The sea environment is initially modeled using the potential field method, incorporating the ice condition field, fuel consumption, emission field and directional field. The navigable area is defined based on the ship navigability, and path optimization is conducted using the principle of gradient descent between the departure point and destination. The experimental results show that the cost of carbon emissions and fuel consumption varies for each class of ship on the planned path in different months. Therefore, by combining different classes of ships and months, we obtain an Arctic navigation strategy with a consideration of the best cost and environmental protection for each month. The path planning and navigation strategy decision method proposed in this paper can provide a reference for an Arctic route design, navigation month and vessel selection, which is beneficial to the sustainable development of Arctic shipping. Text Arctic MDPI Open Access Publishing Arctic Departure Point ENVELOPE(-98.836,-98.836,79.669,79.669) Journal of Marine Science and Engineering 11 7 1308
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic arctic route planning
multi-objective optimization
field theory
fuel cost
carbon emission
spellingShingle arctic route planning
multi-objective optimization
field theory
fuel cost
carbon emission
Aowen Chen
Weiqi Chen
Jian Zheng
Arctic Route Planning and Navigation Strategy: The Perspective of Ship Fuel Costs and Carbon Emissions
topic_facet arctic route planning
multi-objective optimization
field theory
fuel cost
carbon emission
description Arctic navigation research will be more urgent as it is predicted that 4.7% of the shipping trade will be deployed in the Arctic region by 2030. This paper presents a multi-objective path optimization algorithm based on the field theory to investigate Arctic shipping route design and navigation strategies that take safety, economy and environmental protection as factors. The algorithm considers the ice conditions in Arctic waters throughout the year, the energy consumption of ships with different ice classes and carbon emissions. The sea environment is initially modeled using the potential field method, incorporating the ice condition field, fuel consumption, emission field and directional field. The navigable area is defined based on the ship navigability, and path optimization is conducted using the principle of gradient descent between the departure point and destination. The experimental results show that the cost of carbon emissions and fuel consumption varies for each class of ship on the planned path in different months. Therefore, by combining different classes of ships and months, we obtain an Arctic navigation strategy with a consideration of the best cost and environmental protection for each month. The path planning and navigation strategy decision method proposed in this paper can provide a reference for an Arctic route design, navigation month and vessel selection, which is beneficial to the sustainable development of Arctic shipping.
format Text
author Aowen Chen
Weiqi Chen
Jian Zheng
author_facet Aowen Chen
Weiqi Chen
Jian Zheng
author_sort Aowen Chen
title Arctic Route Planning and Navigation Strategy: The Perspective of Ship Fuel Costs and Carbon Emissions
title_short Arctic Route Planning and Navigation Strategy: The Perspective of Ship Fuel Costs and Carbon Emissions
title_full Arctic Route Planning and Navigation Strategy: The Perspective of Ship Fuel Costs and Carbon Emissions
title_fullStr Arctic Route Planning and Navigation Strategy: The Perspective of Ship Fuel Costs and Carbon Emissions
title_full_unstemmed Arctic Route Planning and Navigation Strategy: The Perspective of Ship Fuel Costs and Carbon Emissions
title_sort arctic route planning and navigation strategy: the perspective of ship fuel costs and carbon emissions
publisher Multidisciplinary Digital Publishing Institute
publishDate 2023
url https://doi.org/10.3390/jmse11071308
op_coverage agris
long_lat ENVELOPE(-98.836,-98.836,79.669,79.669)
geographic Arctic
Departure Point
geographic_facet Arctic
Departure Point
genre Arctic
genre_facet Arctic
op_source Journal of Marine Science and Engineering; Volume 11; Issue 7; Pages: 1308
op_relation Ocean Engineering
https://dx.doi.org/10.3390/jmse11071308
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/jmse11071308
container_title Journal of Marine Science and Engineering
container_volume 11
container_issue 7
container_start_page 1308
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