Journal of the Society of Naval Architects of Korea (대한조선학회논문집)

The Society of Naval Architects of Korea (대한조선학회)
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A Comparison and Analysis of Ship Optimal Routing Scenarios considering Ocean Environment

해상환경을 고려한 선박항로의 최적화 시나리오 비교분석

  • Park, Jinmo (Department of Naval Architecture and Ocean Engineering, Seoul National University) ;
  • Kim, Nakwan (Department of Naval Architecture and Ocean Engineering, Seoul National University)
  • 박진모 (서울대학교 조선해양공학과) ;
  • 김낙완 (서울대학교 조선해양공학과)
  • Received : 2013.06.28
  • Accepted : 2014.01.17
  • Published : 2014.04.20
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Abstract

Weather routing of a ship provides an optimal route to the destination by using minimal time or fuel in a given sea condition. These days, weather routing came into a spotlight with soaring fuel price and the environmental regulations of IMO and several countries. This study presents three scenarios of voyaging strategies for a ship and compared them in terms of the fuel consumption. The first strategy fixes the speed of a ship as a constant value for entire sailing course, the second fixes the RPM of the ship as constant for entire course, and the third determines the RPMs of the ship for each segment of the course. For each strategy, a ship route is optimized by using the $A^*$ search method. Wind, ocean current and wave are considered as ocean environment factors when seeking the optimal routes. Based on 7000 TEU container ship's sea trial records, simulation has been conducted for three scenarios, and the most efficient routing scenario is determined in the view of fuel consumption.

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References

  1. Atsuo, M. Akimoto, Y. Nagata, Y. Kobayashi, S. Kobayashi, E., Shiotani, S. & Umeda, N., 2011. A new weather-routing system that accounts for ship stability based on a real-coded genetic algorithm. Journal of marine science and technology, 16(3), pp.311-322. https://doi.org/10.1007/s00773-011-0128-z
  2. Delitala, A.M.S. & Gallino, S., 2010. Weather Routing in Long-Distance Mediterranean Routes. Theory Appl Climatol, 102, pp.125-137. https://doi.org/10.1007/s00704-009-0238-2
  3. European Marine Equipment Council (EMEC), 2020. Green Ship Technology Book. Marine Equipment by EMEC: Bruxelles
  4. Fagerholt, K. Laporte, G. & Norstad, I., 2010. Reducing Fuel Emmission by Optimizing Speed on Shipping Routes. Journal of the Operational Research Society, 61(3), pp.523-529. https://doi.org/10.1057/jors.2009.77
  5. Hart, P.E. Nilsson, N.J. & Raphael, B., 1968. A Formal Basis for the Heuristic Determination of Minimum Cost Paths. IEEE Transactions on Systems Science and Cybernetics, SSC44(2), pp.100-107.
  6. Journee, J. M. J., & Meijers, J. H. C. ,1980. Ship routeing for optimum performance. Delft University of Technology.
  7. Jorgensen, R. 2010. Slow Steaming - The Full Story. Maersk Group: Copenhagen.
  8. Journee, J.M.J. & Massie, W.W., 2001. Offshore Hydromechanics. Chester: Delft University of Technology.
  9. Komas, O,T. & Vlachos, D.S., 2012. Simulated Annealing for Optimal Ship Routing. Computers& Operations Research, 39, pp.576-581. https://doi.org/10.1016/j.cor.2011.05.010
  10. Kwon, Y.J. & Kim, D.Y., 2005. A Research on the Approximate Formulae for the Speed Loss at Sea. Korea Society of Ocean Engineering, 19, pp.90-93.
  11. Rho, M.I., 2013. Determination of an Economical Shipping Route Considering the Effects of Sea State for Lower Fuel Consumption. International Journal of Naval Architecture and Ocean Engineering, 5, pp. 246-262. https://doi.org/10.3744/JNAOE.2013.5.2.246
  12. Shao, W. Zhou, P. & Thong, S.K, 2012. Development of a Novel Forward Dynamic Programming Method for Weather Routing. Journal of Marine Science and Technology, 17, pp.239-251. https://doi.org/10.1007/s00773-011-0152-z
  13. Tolga, Y. & Abdullah, S., 2008. An Implementation of Path Planning Algorithms for Mobile Robots on a Grid based Map. Publisher: Citeseer.
  14. Townsin, R.L. & Kwon, Y.J., 1993. Estimating the Influence of Weather on Ship Performance. Royal Institution of Naval Architects, 135, pp.191-209.

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