Skip to main content
Log in

Line design and optimization for polar expedition cruise ships with transoceanic voyage characteristics

  • Original article
  • Published:
Journal of Marine Science and Technology Aims and scope Submit manuscript

Abstract

With the rising interest in polar tourism, polar expedition cruise ships are attracting attention as a novel, promising ship type with typical transoceanic voyage characteristics, i.e. voyages involving both open water and ice regions through flexible routes. With the carbon–neutral requirement, especially in the polar areas, it is urgent to achieve low carbon emissions for cruise ships. This study investigates the voyage features of typical routes representing typical operational scenarios of the expedition cruise ships by surveying the statistics of various routes. Then, it develops a multi-step line design and optimization frame to achieve multiple objectives such as the minimum overall resistance and delivered power gradually. A case study is investigated to describe the process. The optimum results are discussed with four typical representative hull forms. At first step, at least 8.36% reduction for overall resistance can be achieved. Further improvement can be achieved at second step with an extra reduction of delivered power up to 1.68%. Furthermore, after third step analysis, it is necessary to provide an additional 2.2% or more of the propulsion power to maintain the navigation in the ice region at the service speed. Then, a set of regression formulas have been obtained during lines design and optimization by investigating the open water and ice regions with their combinations. In short, this study provides a reference for assessing the ice loads and depicting the transoceanic voyage features in polar expedition cruise ship designs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18

Similar content being viewed by others

Data availability

The datasets used or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Hall CM, Saarinen J (2010) Polar tourism: definitions and dimensions. Scand J Hosp Tour 10(4):448–467

    Article  Google Scholar 

  2. Irgens O-J, Kokkila K, Hnninen S (2018) Propulsion technology for polar expedition ships. Proc OTC ATC. 11:321

    Google Scholar 

  3. Salminen J, Vocke M (2018) Trends in expedition vessels in polar waters. Proc OTC ATC. 17:177

    Google Scholar 

  4. Han S, Lee Y-S, Choi YB (2012) Hydrodynamic hull form optimization using parametric models. J Mar Sci Technol 17(1):1–17

    Article  Google Scholar 

  5. Luo W, Lan L (2017) Design optimization of the lines of the bulbous bow of a hull based on parametric modeling and computational fluid dynamics calculation. Math Comput Appl 22(1):1–12

    MathSciNet  Google Scholar 

  6. Onwuegbuchunam DE, Ogbenna FC, Ezeanya NC et al (2019) Ship hull form optimization: a computational fluid dynamics (CFD) approach. Int J Transp Eng Technol 5(3):43–49

    Article  Google Scholar 

  7. Kim H-J, Choi J-E, Chun H-H (2016) Hull-form optimization using parametric modification functions and particle swarm optimization. J Mar Sci Technol 21(1):129–144

    Article  Google Scholar 

  8. Vance GP (1975) Modeling system for vessels in ice. University of Rhode Island. https://www.proquest.com/dissertations-theses/modeling-system-vessels-ice/docview/302769126/se-2?accountid=13818

  9. Spencer D, Jones SJ (2001) Model-scale/full-scale correlation in open water and ice for Canadian Coast Guard “R-Class” icebreakers. J Sh Res 45(4):249–261

    Article  Google Scholar 

  10. Lindqvist G (1989) A straightforward method for calculation of ice resistance of ships. Proc POAC. 89:1989

    Google Scholar 

  11. Riska K, Wilhelmson M, Englund K (1997) Performance of merchant vessels in the Baltic, Research report No.52 Helsinki University of Technology. Sjöfartsverket

    Google Scholar 

  12. Wang J, Derradji-Aouat A (2011) Numerical prediction for resistance of Canadian icebreaker CCGS Terry Fox in level ice. ICSOT Ice Class Vessels. https://www.mysciencework.com/publication/show/numerical-prediction-resistance-canadian-icebreaker-ccgs-terry-fox-level-ice-eb0d3b40

  13. Kim MC, Lee SK, Lee WJ et al (2013) Numerical and experimental investigation of the resistance performance of an icebreaking cargo vessel in pack ice conditions. Int J Nav Archit Ocean Eng 5(1):116–131

    Article  Google Scholar 

  14. Huang L, Li Z, Ryan C et al (2020) Ship resistance when operating in floating ice floes: a derivation of empirical equations. Proc ASME OMAE. 84393:2020

    Google Scholar 

  15. Huang L, Tuhkuri J, Igrec B et al (2020) Ship resistance when operating in floating ice floes: a combined CFD & DEM approach. Mar Struct 74:102817

    Article  Google Scholar 

  16. Wang C, Sun S, Xin C et al (2017) Numerical simulation of hydrodynamic performance of ice class propeller in blocked flow–using overlapping grids method. Ocean Eng 141(1):418–426

    Google Scholar 

  17. Ye LY, Wang C, Chang X et al (2017) Propeller-ice contact modeling with peridynamics. Ocean Eng 139(15):54–64

    Article  Google Scholar 

  18. Vroegrijk E (2015) Validation of CFD+DEM Against Measured Data. In: ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering.

  19. Seo DC, Pallard R (2016) A Numerical Study of Interaction Between Ice Particles and Complex Ship Structures. Arctic Technol Conf, Canada

    Book  Google Scholar 

  20. Pei Xu, Guo C, Wang C et al (2019) Simulation of propeller-trash ice-water interaction using coupling cfd and dem methods. Shipbuild China 60(1):120–140

    Google Scholar 

  21. Harries S, Cl A (2019) CAESES-The HOLISHIP platform for process integration and design optimization. In: Papanikolaou A (ed) A holistic approach to ship design. Springer, Cham

    Google Scholar 

  22. Larsson L (1997) SHIPFLOW user’s manual and theoretical manual. Flowtech Int. AB, Gothenburg

    Google Scholar 

  23. Finnish Maritime Administration (2016) Finnish-Swedish Ice Class Rules. Finnish Transport Safety Agency, Finland

    Google Scholar 

  24. Nikolopoulos L, Boulougouris E (2019) Application of holistic ship optimization in bulkcarrier design and operation. In: Minsci E, Vasile M, Periaux J, Gauger NR, Giannakoglou KC, Quagliarella D (eds) Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Comp Methods Appl Sci Springer, Cham

    Google Scholar 

  25. Lu Y, Hu A, Yin X, Tian M (2016) Resistance prediction of large container ship based on SHIPFLOW and experimental verification. Shipbuilding China 57:22–30

    Google Scholar 

  26. Zhang P, Zhu D-X, He S-L (2008) The parametric design method of hull form. Shipbuild China 49(4):26–35

    Google Scholar 

  27. Holland PR (2014) The seasonality of Antarctic sea ice trends. Geophys Res Lett 41(12):4230–4237

    Article  Google Scholar 

  28. Lu Y, Gu Z, Liu SW et al (2022) Scenario-based optimization design of icebreaking bow for polar navigation. Ocean Eng 244(110365):1–18

    Google Scholar 

  29. Viviani U, Valdenazzi F, Abt C (2001) Investigation on optimization strategies for the hydrodynamic design of fast ferries. Proc FAST 2001. https://doi.org/10.4028/www.scientific.net/AMR.479-481.1950

  30. Sederberg TW, Parry SR (1986) Free-form deformation of solid geometric models. Proc SIGGRAPH 1986. https://dl.acm.org/doi/pdf/10.1145/15886.15903

  31. Yu L, Greve M, Druckenbrod M, Abdel-Maksoud M (2013) Numerical analysis of ducted propeller performance under open water test condition. J Mar Sci Technol 18(3):381–394

    Article  Google Scholar 

  32. Chen C, Liu YD, He YP, Li XY (2020) Numerical analysis of added resistance on an icebreaker in regular waves. J Mar Sci Technol 26(2):1–13

    Google Scholar 

Download references

Acknowledgements

The authors thank the support of the Ministry of Industry and Information Technology of the People’s Republic of China and China Merchant Heavy Industry with Grant No. MC-201917-C10.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Long Yu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, J., Yao, R., Yu, L. et al. Line design and optimization for polar expedition cruise ships with transoceanic voyage characteristics. J Mar Sci Technol 28, 270–287 (2023). https://doi.org/10.1007/s00773-023-00924-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00773-023-00924-x

Keywords

Navigation