Stochastic tramp ship routing with speed optimization: Analyzing the impact of the Northern Sea Route on CO2 emissions

To address the decarbonization challenge, we consider a tramp ship routing problem with speed optimization where the availability of future cargoes is uncertain. We propose a two-stage stochastic programming model to solve it. The first stage of the model decides on the deterministic cargoes with th...

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Published in:Annals of Operations Research
Main Authors: Li, Mingyu, Fagerholt, Kjetil, Schütz, Peter
Format: Article in Journal/Newspaper
Language:English
Published: Springer 2022
Subjects:
Online Access:https://hdl.handle.net/11250/3043373
https://doi.org/10.1007/s10479-022-04923-w
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spelling ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/3043373 2023-05-15T17:43:49+02:00 Stochastic tramp ship routing with speed optimization: Analyzing the impact of the Northern Sea Route on CO2 emissions Li, Mingyu Fagerholt, Kjetil Schütz, Peter 2022 application/pdf https://hdl.handle.net/11250/3043373 https://doi.org/10.1007/s10479-022-04923-w eng eng Springer Annals of Operations Research. 2022, . urn:issn:0254-5330 https://hdl.handle.net/11250/3043373 https://doi.org/10.1007/s10479-022-04923-w cristin:2041111 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no CC-BY 25 Annals of Operations Research Peer reviewed Journal article 2022 ftntnutrondheimi https://doi.org/10.1007/s10479-022-04923-w 2023-01-18T23:43:11Z To address the decarbonization challenge, we consider a tramp ship routing problem with speed optimization where the availability of future cargoes is uncertain. We propose a two-stage stochastic programming model to solve it. The first stage of the model decides on the deterministic cargoes with the known availability, while the second stage decides on the detailed routing and scheduling plans with the available spot cargoes revealed. Since sailing speed heavily influences on the fuel consumption, and hence costs and emissions, we include the ships’ speeds along the different sailing legs as decision variables. The opening of the Northern Sea Route (NSR) provides a shorter alternative in connecting Asia and Europe, which may benefit the shipping industry in reducing CO2 emissions. We use our model to evaluate the impact of NSR on CO2 emissions in tramp shipping considering speed optimization and possible future carbon tax schemes, such as fixed and progressive carbon taxes. The computational results indicate that using the NSR improves the gross margins and reduces the CO2 emissions for tramp operators. publishedVersion Article in Journal/Newspaper Northern Sea Route NTNU Open Archive (Norwegian University of Science and Technology) Annals of Operations Research
institution Open Polar
collection NTNU Open Archive (Norwegian University of Science and Technology)
op_collection_id ftntnutrondheimi
language English
description To address the decarbonization challenge, we consider a tramp ship routing problem with speed optimization where the availability of future cargoes is uncertain. We propose a two-stage stochastic programming model to solve it. The first stage of the model decides on the deterministic cargoes with the known availability, while the second stage decides on the detailed routing and scheduling plans with the available spot cargoes revealed. Since sailing speed heavily influences on the fuel consumption, and hence costs and emissions, we include the ships’ speeds along the different sailing legs as decision variables. The opening of the Northern Sea Route (NSR) provides a shorter alternative in connecting Asia and Europe, which may benefit the shipping industry in reducing CO2 emissions. We use our model to evaluate the impact of NSR on CO2 emissions in tramp shipping considering speed optimization and possible future carbon tax schemes, such as fixed and progressive carbon taxes. The computational results indicate that using the NSR improves the gross margins and reduces the CO2 emissions for tramp operators. publishedVersion
format Article in Journal/Newspaper
author Li, Mingyu
Fagerholt, Kjetil
Schütz, Peter
spellingShingle Li, Mingyu
Fagerholt, Kjetil
Schütz, Peter
Stochastic tramp ship routing with speed optimization: Analyzing the impact of the Northern Sea Route on CO2 emissions
author_facet Li, Mingyu
Fagerholt, Kjetil
Schütz, Peter
author_sort Li, Mingyu
title Stochastic tramp ship routing with speed optimization: Analyzing the impact of the Northern Sea Route on CO2 emissions
title_short Stochastic tramp ship routing with speed optimization: Analyzing the impact of the Northern Sea Route on CO2 emissions
title_full Stochastic tramp ship routing with speed optimization: Analyzing the impact of the Northern Sea Route on CO2 emissions
title_fullStr Stochastic tramp ship routing with speed optimization: Analyzing the impact of the Northern Sea Route on CO2 emissions
title_full_unstemmed Stochastic tramp ship routing with speed optimization: Analyzing the impact of the Northern Sea Route on CO2 emissions
title_sort stochastic tramp ship routing with speed optimization: analyzing the impact of the northern sea route on co2 emissions
publisher Springer
publishDate 2022
url https://hdl.handle.net/11250/3043373
https://doi.org/10.1007/s10479-022-04923-w
genre Northern Sea Route
genre_facet Northern Sea Route
op_source 25
Annals of Operations Research
op_relation Annals of Operations Research. 2022, .
urn:issn:0254-5330
https://hdl.handle.net/11250/3043373
https://doi.org/10.1007/s10479-022-04923-w
cristin:2041111
op_rights Navngivelse 4.0 Internasjonal
http://creativecommons.org/licenses/by/4.0/deed.no
op_rightsnorm CC-BY
op_doi https://doi.org/10.1007/s10479-022-04923-w
container_title Annals of Operations Research
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