Hydrophysics

Hydrophysics

Studying the methods of predicting changes in ship speed when encountering waves

Document Type : Original Article

Authors
Mehriar Alimohammadi 1
Hossein Karimpoor 2
Hamed Samdaliri 3
Mahdi MOHAMMAD MAHDIZADEH 4
1 Assistant Professor of Atmospheric and Oceanic Sciences, Imam Khomeini University of Marine Sciences, Nowshahr, Iran
2 Senior expert in navigation science management, Imam Khomeini University of Marine Sciences , Nowshahr, Iran
3 PhD student in marine physics, Hormozgan University, Bandar Abbas, Iran
4 Department of Non - biological Sciences, Faculty of Marine Science and Technology, University of Hormozgan, Bandar Abbas, Iran
Abstract
In marine navigation software, it is very important to determine the floating speed in turbulent weather. This study implements six methods of determining the speed loss of ships due to collision with waves in the Python programming environment and tries to identify the most suitable parameterization to be used in the weather routing algorithm. The six methodologies are: the methods of Bodewich, Artesen, Kwon, Tso Wecheng, Weng and Sha and Liu; In order to complete this analysis and compare the investigation methods, the features related to the seafaring situation, such as the magnitude of the height or the direction of the waves, as well as the inherent coordinates of the ship, are analyzed. By taking into account the different sailing conditions and matching them on the selected vessel, the effect of the ship's speed loss due to the presence of waves is investigated through the implementation of the aforementioned six methods. In the end, from the obtained results, it was determined that Artesen and Wang's method provided the best parameterization regarding loss and speed reduction, and it was also determined what the differences between these methods and other methods are when they are applied to a vessel.
Keywords
Waves
Wind
Speed changes
Routing

Subjects

[1]    Cai Y, Wen Y, Wu L. Ship route design for avoiding heavy weather and sea conditions. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation. 2014;8.
[2]    Zhou P, Zhou Z, Wang Y, Wang H. Ship weather routing based on hybrid genetic algorithm under complicated sea conditions. Journal of Ocean University of China. 2023 Feb;22(1):28-42.
[3]    Kytariolou A, Themelis N. An Investigation on the Effect of Sea Currents on Weather Routing Optimisation. In:SNAME International Symposium on Ship Operations, Management and Economics 2023 Mar 7 (p. D021S007R006). SNAME.
[4]    Ksciuk J, Kuhlemann S, Tierney K, Koberstein A. Uncertainty in maritime ship routing and scheduling: A Literature review. European Journal of Operational Research. 2023 Jul 16;308(2):499-524.
[5]    YJ K. Speed loss due to added resistance in wind and waves. Nav Archit. 2008;3:14-6.
[6]    Panigrahi JK, Padhy CP, Sen D, Swain J, Larsen O. Optimal ship tracking on a navigation route between two ports: a hydrodynamics approach. Journal of marine science and technology. 2012 Mar;17:59-67.
[7]    Bowditch N. The American practical navigator, Bicentennial edition, National Imagery and Mapping Agency, Bethesda, Maryland, 879. 2002
[8]    Molland AF, Turnock SR, Hudson DA. Ship resistance and propulsion. Cambridge university press; 2017 Aug 17.
[9]    Lin YH, Fang MC, Yeung RW. The optimization of ship weather-routing algorithm based on the composite influence of multi-dynamic elements. Applied Ocean Research. 2013 Oct 1;43:184-94.
[10] Aertssen G. The effect of weather on two classes of container ships in the North Atlantic. Naval Architect. 1975 Jan(1).
[11] Tsou MC, Cheng HC. An Ant Colony Algorithm for efficient ship routing. Polish Maritime Research. 2013 Sep 1;20(3):28-38.
[12] Liu H, Wang H, Shen Z. An Improved A* Algorithm for Fuel-efficient Ship Weather Routing. InConstructive Nonsmooth Analysis and Related Topics. Abstracts of the International Conference. Dedicated to the Memory of Professor VF Demyanov 2017 (pp. 122-123).
[13] Wang WY, Shao HF. An approximate method of estimating ship’s speed loss in seaway. Navig China. 1982;1:64-9.
[14] Walther L, Rizvanolli A, Wendebourg M, Jahn C. Modeling and optimization algorithms in ship weather routing. International journal of e-navigation and maritime economy. 2016 Jun 1;4:31-45.
[15   Alexandersson M. A study of methods to predict added resistance in waves. Master's thesis, KTH Centre for Naval Architecture. 2009 Jan.
[16] Grifoll M, Martorell L, de Osés FX. Ship weather routing using pathfinding algorithms: the case of Barcelona–Palma de Mallorca. Transportation research procedia. 2018 Jan 1;33:299-306.
[17] Zhu X, Wang H, Shen Z, Lv H. Ship weather routing based on modified Dijkstra algorithm. In2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer 2016 Jun (pp. 696-699). Atlantis Press.
[18] Pennino S, Gaglione S, Innac A, Piscopo V, Scamardella A. Development of a new ship adaptive weather routing model based on seakeeping analysis and optimization. Journal of Marine Science and Engineering. 2020 Apr 10;8(4):270.
[19] Kim M, Hizir O, Turan O, Day S, Incecik A. Estimation of added resistance and ship speed loss in a seaway. Ocean Engineering. 2017 Sep 1;141:465-76.
[20] Tillig F, Ringsberg JW, Psaraftis HN, Zis T. Reduced environmental impact of marine transport through speed reduction and wind assisted propulsion. Transportation Research Part D: Transport and Environment. 2020 Jun 1;83:102380.
[21] Townsin RL, Kwon YJ. Estimating the influence of weather on ship performance.1993.
[22] Buhaug Ø, Corbett J, Endresen Ø, Eyring V, Faber J, Hanayama S, Lee DS, Lee D, Lindstad H, Markowska AZ, Mjelde A. Second imo ghg study 2009.
 

  • Receive Date 29 July 2023
  • Revise Date 23 September 2023
  • Accept Date 25 September 2023