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Multi-objective optimization of low-carbon transition strategies for container ship fleets
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Mingjun JI*, Yuxin WANG, Zhenglin KUAN, Wanwei FANG
Navigation of China | 2026, 49(1) : 155 - 164
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Navigation of China | 2026, 49(1): 155-164
Green Shipping
Multi-objective optimization of low-carbon transition strategies for container ship fleets
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Mingjun JI*, Yuxin WANG, Zhenglin KUAN, Wanwei FANG
Affiliations
  • College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China
Published: 2026-02-25 doi: 10.3969/j.issn.1000-4653.2026.01.016
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With the continued advancement of China "dual-carbon" goals and the increasingly stringent emission reduction regulations of the International Maritime Organization (IMO), the shipping industry is facing more severe emission reduction challenges and urgently needs to clarify the green transition pathways. Most of the existing research focuses on the selection of alternative fuels, while there is relatively little research on emission reduction strategies from the perspective of the fleet. To address the shortcomings of the existing research, this study identifies the key factors influencing fleet green transition decisions. Based on this, a bi-objective linear programming model jointly considering economic and environmental objectives is established, and a genetic algorithm combined with the ε-constraint method is constructed to solve the model. Finally, taking the 10, 000-11, 000 TEU container fleet of COSCO Shipping Group as a case study, this research derives the optimal green transition strategy for the fleet during the planning horizon, encompassing fuel choices and operational configurations for individual vessels. Sensitivity analysis reveals that fluctuations in fuel prices significantly affect the selection of engine types during vessel retrofitting and renewal decisions, while the stringency of emission reduction targets directly influences fleet transition costs, thereby affecting corporate proactiveness in pursuing decarbonization initiatives. Consequently, policymakers should establish appropriately calibrated emission reduction targets and incentive mechanisms to accelerate the advancement of low-carbon technologies, reduce fleet transition costs, and expedite the achievement of decarbonization objectives in the shipping industry.

green shipping  /  fleet transformation  /  alternative fuels  /  bi-objective optimization
Mingjun JI, Yuxin WANG, Zhenglin KUAN, Wanwei FANG. Multi-objective optimization of low-carbon transition strategies for container ship fleets[J]. Navigation of China, 2026 , 49 (1) : 155 -164 . DOI: 10.3969/j.issn.1000-4653.2026.01.016
Year 2026 volume 49 Issue 1
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doi: 10.3969/j.issn.1000-4653.2026.01.016
  • Receive Date:2025-02-27
  • Online Date:2026-05-19
  • Published:2026-02-25
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  • Received:2025-02-27
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    College of Transportation Engineering, Dalian Maritime University, Dalian 116026, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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