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Ship Route Design for Avoiding Heavy Weather and Sea Conditions

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Języki publikacji
EN
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EN
This paper covers the current state of maritime oil transportation in the Baltic Sea and the development of oil transportation in the 2000s, as well as estimations of transported oil volumes in 2020 and 2030 in the Gulf of Finland. The scenarios were formulated on the basis of a current state analysis, energy and transportation strategies and scenarios and expert assessments. The study showed that the volumes of oil transportation in the Gulf of Finland will increase only moderately compared to the current status: 9.5-33.8 %, depending on the scenario. Green energy policy favours renewable energy sources, which can be seen in the smaller volumes of transported oil in the 2030 scenarios compared to the 2020 scenarios. In the Slow development 2020 scenario, oil transport volumes for 2020 are expected to be 170.6 Mt (million tonnes), in the Average development 2020 187.1 Mt and in the Strong development 2020 201.5 Mt. The corresponding oil volumes for the 2030 scenarios were 165 Mt for the Stagnating development 2030 scenario, 177.5 Mt for the Towards a greener society 2030 scenario and 169.5 Mt in the Decarbonising society 2030 scenario.
Twórcy
autor
  • School of Navigation, Wuhan University of Technology, Wuhan, China
autor
  • Hubei Inland Shipping Technology Key Laboratory, Wuhan, China
autor
  • School of Navigation, Wuhan University of Technology, Wuhan, China
Bibliografia
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  • [9] Lin, Y. H., & Fang, M. C. (2013, June). The Ship‐Routing Optimization Based on the Three‐Dimensional Modified Isochrone Method. In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering (pp. V005T06A067‐V005T06A067). American Society of Mechanical Engineers.
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  • [17] Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Wang, W., & Powers, J. G. (2005). A description of the advanced research WRF version 2 (No. NCAR/TN‐468+ STR). National Center For Atmospheric Research Boulder Co Mesoscale and Microscale Meteorology Div.
  • [18] The SWAN Team (2009).SWAN, Scientific and Technical Documentation, SWAN Cycle Ⅲ version 40.72ABC,http://www.swan.tudelft.nl, Delft University of Technology.
  • [19] Tsou, M. C., & Cheng, H. C. (2013). An Ant Colony Algorithm for efficient ship routing. Polish Maritime Research, 20(3), 28‐38.
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  • [22] Zhang, J., & Huang, L. (2007). Optimal Ship Weather Routing Using Isochrone Method on the Basis of Weather Changes. In International Conference on Transportation Engineering 2007 (pp. 2650‐2655). ASCE.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-04241782-dfb7-49fd-862e-956e6e4dcf0c
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