随着欧盟与IMO航运减排法规的逐步生效，航运业能源绿色转型的节奏进一步加快。为解决航运公司在航线经营中面临的船舶最佳燃料搭配问题，本文基于欧盟与IMO的航运减排法规，以某大型班轮公司的箱船为例，采用数据驱动的方式构建船舶主机油耗模型和辅机油耗模型，并采用罚函数法和遗传算法求解定航线下的船舶最佳燃料搭配问题。实验结果表明，在进行航线燃料优化后，船舶不仅可以减少法规罚款成本，同时可增加其碳排放合规盈余，并确保营运CII等级满足合规要求。本研究可为航运公司提供绿色转型的营运管理思路。
With the gradual entry into force of the EU and IMO shipping emission reduction regulations, the pace of the green energy transition in the shipping industry has accelerated further. To address the problem of optimal fuel blending for ships in route operations faced by shipping companies, this paper, based on the EU and IMO shipping emission reduction regulations, takes a container ship of a large liner company as a case study. It adopts a data-driven approach to construct the main engine fuel consumption model and auxiliary engine fuel consumption model, and employs the penalty function method and genetic algorithm to solve the problem of optimal fuel blending for ships under fixed routes. The experimental results show that after route fuel optimization, the ship can not only reduce regulatory penalty costs but also increase its carbon emission compliance surplus while ensuring that the operational CII rating meets compliance requirements. This research helps to provide operational management ideas for shipping companies in their green transition.
2026,48(7): 133-141 收稿日期：2025-8-4
DOI：10.3404/j.issn.1672-7649.2026.07.022
分类号：U694
作者简介：陈映彬(1998-)男,硕士,研究实习员,研究方向为船舶节能优化
参考文献：
[1] XIA Z, GUO Z, WANG W, et al. Joint optimization of ship scheduling and speed reduction: A new strategy considering high transport efficiency and low carbon of ships in port [J]. Ocean Engineering, 2021, 233: 109177.
[2] 王建勇. 航运脱碳“轨迹”探讨[J]. 天津航海, 2024(3): 67-70 WANG J Y. The exploration into the decarburization “trajectory” in shipping[J]. Tianjin Hanghai, 2024(3): 67-70
[3] 常圣岱, 林正锦, 孙永刚, 等. 基于欧盟航运市场机制的船用替代燃料应用路径[J]. 上海海事大学学报, 2025, 46(1): 112-119 CHANG S D, LIN Z J, SUN Y G, et al. Pathways of alternative marine fuels based on EU shipping market mechanism[J]. Journal of Shanghai Maritime University, 2025, 46(1): 112-119
[4] 于佳玉, 林益楷, 费奕儒, 等. 低碳背景下的绿色燃料发展之路[J]. 国际石油经济, 2025, 33(7): 82-91 YU J Y, LIN Y K, FEI Y R, et al. The development path of green fuels in a low-carbon context[J]. International Petroleum Economics, 2025, 33(7): 82-91
[5] 郭子菡. FuelEUMaritime法规对发展中国家的影响及应对建议[J]. 世界海运, 2025, 48(7): 8-13
[6] 屈紫懿, 李亚雄, 孔存金, 等. 国际海事组织碳减排政策中强制性参数应对路径研究[J]. 船舶, 2025, 36(1): 55-68 QU Z Y, LI Y X, KONG C J, et al. On response path of mandatory parameters in carbon emission reduction policy of international maritime organization[J]. Ship & Boat, 2025, 36(1): 55-68
[7] 薛树业. 基于“IMO净零框架规则草案”的单船双燃料合规路径计算[J]. 航海, 2025(4): 25-29
[8] 王慧, 覃一珂. 《国际海事组织净零框架》对我国的影响及应对策略研究[J]. 交通运输部管理干部学院学报, 2025, 35(2): 9-11+48 WANG H, QIN Y K. The impact of IMO Net-Zero framework on China and its responses[J]. Journal of Transport Management Institute Ministry of Transport, 2025, 35(2): 9-11+48
[9] 薛树业. “国际海事组织净零框架规则”草案解析[J]. 世界海运, 2025, 48(6): 21-29
[10] 李子超, 赵佳雯, 简炎钧. 国际海事组织净零框架解析[J]. 中国船检, 2025(5): 32-36
[11] 张焱飞, 刘璐, 李荣贵, 等. 考虑CⅡ等级约束和生物燃料使用的船队布局优化研究[J]. 中国航海, 2025, 48(2): 172-180 ZHANG Y F, LIU L, LI R G, et al. Studies on fleet deployment optimization considering CII class constraints and biofuels[J]. Navigation of China, 2025, 48(2): 172-180
[12] 徐文宇, 王楠. 碳强度下现有营运船舶减排对策分析[J]. 上海船舶运输科学研究所学报, 2024, 47(4): 39-43+49 XU W Y, WANG N. Analysis of emission reduction measures for existing operational ships in terms of carbon intensity[J]. Journal of Shanghai Ship and Shipping Research Institute, 2024, 47(4): 39-43+49
[13] 刘璐, 季盛, 张焱飞. 面向班期船的航运碳强度运营支撑系统构建研究[J]. 船舶物资与市场, 2023, 31(9): 10-14
[14] 陈弓. 基于数据驱动方法的船舶CII预测模型研究[J]. 船舶与海洋工程, 2023, 39(4): 48-53 CHEN G. Review of the research on vessel's carbon intensity indicator prediction models based on data-driven approaches[J]. Naval Architecture and Ocean Engineering, 2023, 39(4): 48-53
[15] 张洪铭, 乔继潘, 季盛, 等. FuelEU Maritime法规奖励系数对船舶合规的影响[J]. 上海船舶运输科学研究所学报, 2025, 48(1): 13-17 ZHANG H M, QIAO J P, JI S, et al. The reward coefficient and shipping cost for FuelEU Maritime regulation compliance[J]. Journal of Shanghai Ship and Shipping Research Institute, 2025, 48(1): 13-17
[16] 郑庆国, 孙丽萍. 欧盟航运碳减排法规对多用途重吊船队的影响[J]. 船舶工程, 2024, 46(4): 12-17+28 ZHENG Q G, SUN L P. Impact of EU regulations for shipping decarbonization on multipurpose heavy lift fleet[J]. Ship Engineering, 2024, 46(4): 12-17+28
[17] 高天琦, 王洋. 全球航运减排里程碑: 净零排放框架通过[J]. 生态经济, 2025, 41(6): 1-4
[18] MENG Q, DU Y, WANG Y. Shipping log data based container ship fuel efficiency modeling[J]. Transportation Research Part B: Methodological, 2016, 83: 207-229
[19] 周田瑞. 基于监测数据的船舶能耗建模及航速优化研究[D]. 上海: 上海海事大学, 2022.
[20] 霍得利. 船舶航速优化节能性研究[D]. 大连: 大连海事大学, 2017.
[21] 王滔, 黄朝春, 姜辉, 等. 船舶烟气海水脱硫技术发展研究[J]. 船舶物资与市场, 2019(11): 22-24
[22] 陈映彬, 文逸彦, 董国祥, 等. 基于BP人工神经网络与遗传算法的航速优化[J]. 舰船科学技术, 2024, 46(1): 82-87 CHEN Y B, WEN Y Y, DONG G X, et al. Speed optimization based on BP artificial neural network and genetic algorithm[J]. Ship Science and Technology, 2024, 46(1): 82-87
[23] 任禹澎, 王岳. 遗传算法优化下开放水域船舶编队避障研究[J]. 舰船科学技术, 2025, 47(12): 19-23 REN Y P, WANG Y. Research on obstacle avoidance of open water ship formations under genetic algorithm optimization[J]. Ship Science and Technology, 2025, 47(12): 19-23
[24] 阳熠恒, 王志博. 混合遗传算法下欠驱动船舶航向保持控制方法[J]. 舰船科学技术, 2024, 46(13): 77-81 YANG Y H, WANG Z B. A hybrid genetic algorithm based under actuated ship heading maintenance control method[J]. Ship Science and Technology, 2024, 46(13): 77-81
[25] 白云娇. 带目标罚参数的精确罚函数法[D]. 重庆: 重庆大学, 2014.
[26] 徐奥, 房明磊, 盛雨婷, 等. 不等式约束优化问题的改进光滑l1精确罚函数法[J]. 数学的实践与认识, 2025, 55(2): 158-168 XU A, FANG M L, SHENG Y T, et al. Improved smooth l1 exact penalty function method for inequality constrained optimization problems[J]. Mathematics in Practice and Theory, 2025, 55(2): 158-168
