交通运输工程

不规则ECA边界船舶路径和航速优化

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  • (大连海事大学 航运经济与管理学院,辽宁 大连 116026) 
张明(1990— ),男,博士生,E-mail:mingzhang@dlmu.edu.cn;谭志加(1978 — ),男,博士,教授,博士生导师,E-mail:zjatan@dlmu.edu.cn

收稿日期: 2022-10-03

  修回日期: 2022-12-20

  录用日期: 2022-12-20

  网络出版日期: 2022-12-20

基金资助

现代航运物流与管理项目(017212340);港航系统排放控制政策分析与仿真项目(36323404)

Optimization of ship path and speed at irregular ECA boundary

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  • (School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China)

Received date: 2022-10-03

  Revised date: 2022-12-20

  Accepted date: 2022-12-20

  Online published: 2022-12-20

摘要

全面分析一艘沿海货船对排放控制区(ECA)的应对策略,结合船舶航行路径和航速关系,分别建立非规避和规避策略下航行成本最小化模型,对船舶进出不规则ECA边界点位置和航速进行优化,得到船舶最佳航行模式和策略选择。研究表明,规避策略的触发条件取决于ECA内外的燃料价格比及港口与ECA边界之间的相对位置。对中国沿海区域船舶规避情况进行实证分析,结果表明,规避策略既能节约航行成本又能减少航行时间,但会大大降低排放控制区政策的减排效益。

本文引用格式

张明, 谭志加, 高培欢 . 不规则ECA边界船舶路径和航速优化[J]. 大连海事大学学报, 2023 , 49(1) : 44 -55 . DOI: 10.16411/j.cnki.issn1006-7736.2023.01.005

Abstract

In this paper, the response strategy of a coastal cargo ship to the emission control area (ECA) was comprehensively analyzed, and combining with the relationship between the ship’s navigation path and speed, the navigation cost minimization model under non-avoidance and avoidance strategies was established respectively to optimize the location and speed of the ship’s entry and exit irregular ECA boundary points, and resulting in the best navigation mode and strategy selection of the ship. It is shown that the trigger condition of the evasive strategy depends on the fuel price ratio inside and outside the ECA and the relative position between the port and the border of the ECA. The empirical analysis of ship evading in China’s coastal areas shows that the evading strategy can save the navigation cost and reduce the navigation time, but will greatly reduce the emission reduction benefits of the emission control area policy.

参考文献

[1] SONG D P, DONG J X. Cargo routing and empty container repositioning in multiple shipping service routes[J]. Transportation Research Part B: Methodological, 2012, 46 (10) :1556-1575.
[2] 交通运输部. 2019年交通运输行业发展统计公报[J].中国水运, 2020(5): 40-43.
Ministry of Transport of the People’s Republic of China. Statistical bulletin on the development of the transportation industry in 2019[J]. China Water Transport, 2020(5): 40-43. (in Chinese)
[3] YANG L, ZHANG Q J, ZHANG Y J, et al. An AIS-based emission inventory and the impact on air quality in Tianjin port based on localized emission factors[J]. Science of the Total Environment, 2021,783: 146869.
[4] 章强, 郑中琪. 中国船舶排放控制区政策的发展演变研究[J].大连海事大学学报(社会科学版),2020,19(3):67-72.
ZHANG Q, ZHENG Z Q. A study on the development and evolution of China’s ship emission control zone policy[J]. Journal of Dalian Maritime University (Social Science Edition),2020,19(3): 67-72. (in Chinese)
[5] Container-shipping industry needs to offset up to $10 billion in costs accompanying new international sulfur regulation, says alixpartners study[OB/OL].[2022-08-12]. https://www.alixpartners.com/mediacenter/pressreleases/container-shipping-industry-needs-to-offset-10-billion-in-costs.
[6] ACCIARO M. Real option analysis for environmental compliance: LNG and emission control areas[J]. Transport. Res. D-Envi, 2014, 28(2): 41-50.
[7] LINDSTAD H E, ESKELAND G S. Environmental regulations in shipping: policies leaning towards globalization of scrubbers deserve scrutiny[J]. Transportation Research Part D, 2016, 47:67-76.
[8] FAN L X, GU B M, LUO M F, et al. A cost-benefit analysis of fuel-switching vs. hybrid scrubber installation: a container route through the Chinese SECA case[J]. Transport Policy, 2020, 99: 336-344.
[9] LI L Y, GAO S X, YANG W G, et al. Ship’s response strategy to emission control areas: from the perspective of sailing pattern optimization and evasion strategy selection[J]. Transport. Res. E-Log, 2020, 133: 101835.
[10] WANG S, MENG Q. Sailing speed optimization for container ships in a liner shipping network[J]. Transport. Res. E-Log, 2012, 48(3): 701-714.
[11] ZHEN L, HU Z, YAN R, et al. Route and speed optimization for liner ships under emission control policies[J]. Transportation Research Part C: Emerging Technologies, 2020, 110: 330-345.
[12] WANG S A, DAN Z G, ZHEN L, et al. Liner shipping service planning under sulfur emission regulations[J]. Transportation Science, 2021, 55(2): 491-509.
[13] 吕靖, 毛鹤达. 硫排放控制区和碳排放限制下的班轮航线配船模型[J]. 大连海事大学学报,2017,43(1):101-105. 
LV J, MAO H D. Fleet deployment for liner shipping under the restriction of SOx emission control areas and CO2 emission[J]. Journal of Dalian Maritime University,2017,43(1):101-105. (in Chinese)
[14] 镇璐, 孙晓凡, 王帅安. 排放控制区限制下邮轮航线及速度优化[J].运筹与管理, 2019, 28(3): 31-38.
ZHEN L, SUN X F, WANG S A. The optimization of cruise shipping routing and speed with emission control area[J]. Operations Research and Management Science, 2019, 28(3):31-38. (in Chinese)
[15] WANG S, PENG C. Model and analysis of the effect of China’s potential domestic emission control area with 0.1% sulphur limit[J]. Maritime Business Review, 2019, 4(3): 298-309. 
[16] TAN Z J, LIU H Y, SHAO S, et al. Efficiency of Chinese ECA policy on the coastal emission with evasion behavior of ships[J]. Ocean & Coastal Management, 2021, 208(3):105635. 
[17] FAGERHOLT K, PSARAFTIS H N. On two speed optimization problems for ships that sail in and out of emission control areas[J]. Transportation Research  Part D: Transport and Environment, 2015, 39:56-64.
[18] 楚金华, 李俊鹤, 王春娟, 等.排放控制区下集装箱班轮航线路径规划与航速调度集成决策[J].交通运输系统工程与信息, 2021,21(4):230-238+262. 
CHU J H, LI J H, WANG C J, et al. Integrated decision on route planning and speed scheduling of container liners considering emission control areas[J]. Journal of Transportation Systems Engineering and Information Technology, 2021,21(4):230-238+262. (in Chinese)
[19] HONG I. Deriving an obstacle-avoiding shortest path in continuous space: a spatial approach[D]. Phoenix:Arizona State University,2015.
[20] RONEN D. The effect of oil price on the optimal speed of ships[J]. Journal of the Operational Research Society, 1982, 33: 1035-1040.
[21] MENG Q, DU Y Q, WANG Y D. Shipping log data based container ship fuel efficiency modeling[J]. Transportation Research Part B: Methodological, 2016, 83:207-229.
[22] TAN Z J, WANG Y D, MENG Q, et al. Joint ship schedule design and sailing speed optimization for a single inland shipping service with uncertain dam transit time[J]. Transportation Science, 2018, 52(6):1297-1588. 
[23] CHEN J X, SHUAI J, WANG S A, et al. Subloop-based reversal of port rotation directions for container liner shipping network alteration[J]. Transportation Research Part B: Methodological, 2018, 118:336-361.
[24] Bunker index. https://bunkerindex.com.
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