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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Online Access: | https://doi.org/10.3390/jmse11071308 |
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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 |
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MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
arctic route planning multi-objective optimization field theory fuel cost carbon emission |
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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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1774713765605933056 |