Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities

被引:0
|
作者
Durlik, Irmina [1 ,2 ]
Miller, Tymoteusz [2 ,3 ,4 ]
Kostecka, Ewelina [2 ,5 ]
Lobodzinska, Adrianna [2 ]
Kostecki, Tomasz [5 ]
机构
[1] Maritime Univ Szczecin, Fac Nav, Waly Chrobrego 1-2, PL-70500 Szczecin, Poland
[2] Polish Soc Bioinformat & Data Sci BioData, Popieluszki 4c, PL-71214 Szczecin, Poland
[3] Univ Szczecin, Inst Marine & Environm Sci, Waska 13, PL-71415 Szczecin, Poland
[4] INTI Int Univ, Fac Data Sci & Informat Technol, Persiaran Perdana BBN, Putra Nilai 71800, Nilai, Malaysia
[5] Maritime Univ Szczecin, Fac Mechatron & Elect Engn, Waly Chrobrego 1-2, PL-70500 Szczecin, Poland
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 14期
关键词
artificial intelligence (AI) integration; maritime sustainability; emission reduction; energy efficiency; predictive maintenance; autonomous shipping; smart port operations; MARPOL; SUPPLY CHAIN MANAGEMENT; ARTIFICIAL-INTELLIGENCE; MARITIME TRANSPORT; RENEWABLE ENERGY; INNOVATION; CARGO; DIGITALIZATION; TECHNOLOGIES; INTEGRATION; OPERATIONS;
D O I
10.3390/app14145994
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The maritime industry, responsible for moving approximately 90% of the world's goods, significantly contributes to environmental pollution, accounting for around 2.5% of global greenhouse gas emissions. This review explores the integration of artificial intelligence (AI) in promoting sustainability within the maritime sector, focusing on shipping and port operations. By addressing emissions, optimizing energy use, and enhancing operational efficiency, AI offers transformative potential for reducing the industry's environmental impact. This review highlights the application of AI in fuel optimization, predictive maintenance, route planning, and smart energy management, alongside its role in autonomous shipping and logistics management. Case studies from Maersk Line and the Port of Rotterdam illustrate successful AI implementations, demonstrating significant improvements in fuel efficiency, emission reduction, and environmental monitoring. Despite challenges such as high implementation costs, data privacy concerns, and regulatory complexities, the prospects for AI in the maritime industry are promising. Continued advancements in AI technologies, supported by collaborative efforts and public-private partnerships, can drive substantial progress towards a more sustainable and efficient maritime industry.
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页数:34
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