Analyzing the spatio-temporal correlation between tide and shipping behavior at estuarine port for energy-saving purposes

被引:32
作者
Shu, Yaqing [1 ,2 ]
Han, Bingyu [2 ]
Song, Lan [3 ]
Yan, Tao [4 ]
Gan, Langxiong [1 ,2 ]
Zhu, Yuxin [4 ]
Zheng, Chunmiao [3 ]
机构
[1] Wuhan Univ Technol, State Key Lab Maritime Technol & Safety, Wuhan, Peoples R China
[2] Wuhan Univ Technol, Sch Nav, Wuhan 430063, Peoples R China
[3] Eastern Inst Technol, Coll Engn, Ningbo, Peoples R China
[4] Minist Transport, Tianjin Res Inst Water Transport Engn, Tianjin 300456, Peoples R China
基金
中国国家自然科学基金;
关键词
Estuarine ports; Ship behavior; Energy consumption; Tidal current; COLLISION RISK; CLIMATE-CHANGE; SEA-LEVEL; PATTERNS;
D O I
10.1016/j.apenergy.2024.123382
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Estuarine ports account for more than 80% of world ports. Considering the large portion of ships depart and arrive at estuarine ports worldwide, using current and tide to departure and arrive at the estuarine ports can help to save energy and reduce fuel consumption and pollution emissions. To better understand to what extent ships take and against the tide when entering and leaving estuarine port for energy-saving purposes, this study collected AIS data of ships in the Pearl River Estuary region in 2022 and fused it with the simulated current data to unveil the ship behavior patterns. It is found that most of the ships sailed against tide among the 225,333 ships entered and left the harbor in 2022. 75-76% of the ships choose to enter the harbor against current, 9% choose to enter the harbor in transverse current, and only 15-16% choose to take tide. In terms of outbound ships, the proportions of ships sailed against tide equals to the proportion take tide, each took 41-45%, 11-15% sailed in the transverse current direction. Our result revealed that the outbound ships is better at take tide than inbound ships, especially at the tide with a speed higher than 0.6 m/s. The methods demonstrated in this study can be adapted and applied to other estuarine ports to understand the impact of the tide on shipping energy consumption. Future studies should focus on increasing the energy efficiency of ships by better planning the shipping schedule and taking advantage of the tide while leaving and entering the ports.
引用
收藏
页数:12
相关论文
共 52 条
  • [1] Estimating Navigation Patterns from AIS
    Aarsaether, Karl Gunnar
    Moan, Torgeir
    [J]. JOURNAL OF NAVIGATION, 2009, 62 (04) : 587 - 607
  • [2] Badshah S, 2020, IOP Conf Ser Earth Environ Sci, V581
  • [3] Boon JD., 2013, Secrets of the tide: tide and tidal current analysis and predictions, storm surges and sea level trends
  • [4] Flow-field and wake analysis of novel double-rotor open-center tidal current turbine by CFD simulations
    Castiglione, Teresa
    Barbarelli, Silvio
    Lo Zupone, Giacomo
    Bova, Sergio
    [J]. OCEAN ENGINEERING, 2021, 222
  • [5] Modeling the Impacts of Tides and the Virtual Arrival Policy in Berth Allocation
    Du, Yuquan
    Chen, Qiushuang
    Lam, Jasmine Siu Lee
    Xu, Ya
    Cao, Jin Xin
    [J]. TRANSPORTATION SCIENCE, 2015, 49 (04) : 939 - 956
  • [6] Multi-objective collaborative agreements amongst shipping lines and marine terminal operators for sustainable and environmental-friendly ship schedule design
    Dulebenets, Maxim A.
    [J]. JOURNAL OF CLEANER PRODUCTION, 2022, 342
  • [7] An epsilon-constraint-based exact multi-objective optimization approach for the ship schedule recovery problem in liner shipping
    Elmi, Zeinab
    Li, Bokang
    Liang, Benbu
    Lau, Yui-yip
    Borowska-Stefanska, Marta
    Wisniewski, Szymon
    Dulebenets, Maxim A.
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2023, 183
  • [8] Fadlillah L, 2020, IOP conference series: Earth and environmental science
  • [9] Comprehensive Assessment of Automatic Identification System (AIS) Data Application to Anti-collision Manoeuvring
    Felski, Andrzej
    Jaskolski, Krzysztof
    Banys, Pawel
    [J]. JOURNAL OF NAVIGATION, 2015, 68 (04) : 697 - 717
  • [10] Maritime Traffic Networks: From Historical Positioning Data to Unsupervised Maritime Traffic Monitoring
    Fernandez Arguedas, Virginia
    Pallotta, Giuliana
    Vespe, Michele
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (03) : 722 - 732