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Marine propeller parametric optimisation and matching to electric motor

  • Crístofer H. MarquesEmail author
  • Carlos R. P. Belchior
  • J.-D. Caprace
Technical Paper
  • 16 Downloads

Abstract

There is still room to establish a methodology to optimise marine propellers, considering design requirements of the vessel, and match it to an electric motor. The method proposed herein consists in an optimisation whose objective function is power required in the electric motor shaft, and design variables are the parameters of Wageningen B-screw series propellers. A differential evolution optimisation algorithm was programmed in MATLAB environment to assess a number of propeller designs. Technical constraints of strength, cavitation, and peripheral velocity were considered. An actual ferryboat designed to operate in a lake in south-eastern Brazil is proposed as the case study. The worst individual of the final population of propellers had its objective function increased by 25%, compared with the worst individual of the initial population, within only 123 s processing time. Substantially dissimilar propeller designs were found for direct and geared drive with open water propeller efficiency between 36.18 and 40.49%. The approach has shown significant gains as an early-stage design tool and highlighted the need for exploring a broad range of propellers to find the optimal motor–propeller matching.

Keywords

Three-phase induction motor Direct drive Indirect drive Electric propulsion 

Notes

Acknowledgements

This work was conducted at Federal University of Rio de Janeiro during the first authors doctoral scholarship, financed by the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES) within the Ministry of Education of Brazil.

References

  1. 1.
    Ekinci S (2011) A practical approach for design of marine propellers with systematic propeller series. Brodogradnja 62(2):123Google Scholar
  2. 2.
    Lee HS, Kinnas SA (2005) A BEM for the modeling of unsteady propeller sheet cavitation inside of a cavitation tunnel. Comput Mech 37(1):41.  https://doi.org/10.1007/s00466-005-0696-z CrossRefzbMATHGoogle Scholar
  3. 3.
    Bal Ş, Gner M (2009) Performance analysis of podded propulsors. Ocean Eng 36(8):556.  https://doi.org/10.1016/j.oceaneng.2009.01.016 CrossRefGoogle Scholar
  4. 4.
    Lee KJ, Hoshino T, Lee JH (2014) A lifting surface optimization method for the design of marine propeller blades. Ocean Eng 88:472.  https://doi.org/10.1016/j.oceaneng.2014.07.010 CrossRefGoogle Scholar
  5. 5.
    Benini E (2003) Multiobjective design optimization of B-screw series propellers using evolutionary algorithms. Marine Technol 40(4):229Google Scholar
  6. 6.
    Carlton JS (2012) Marine propellers and propulsion. Elsevier BV, Oxford.  https://doi.org/10.1016/b978-0-08-097123-0.00012-5 CrossRefGoogle Scholar
  7. 7.
    Oosterveld MWC, Ossannen PV (1975) Further computer-analysed data of the Wageningen B-screw series. Int Shipbuild Prog 22:3CrossRefGoogle Scholar
  8. 8.
    Chen JH, Shih YS (2007) Basic design of a series propeller with vibration consideration by genetic algorithm. J Marine Sci Technol 12(3):119.  https://doi.org/10.1007/s00773-007-0249-6 CrossRefGoogle Scholar
  9. 9.
    Xie G (2011) Optimal preliminary propeller design based on multi-objective optimization approach. Proc Eng 16:278.  https://doi.org/10.1016/j.proeng.2011.08.1084 CrossRefGoogle Scholar
  10. 10.
    Mirjalili S, Lewis A, Mirjalili SAM (2015) Multi-objective optimisation of marine propellers. Procedia Comput Sci 51:2247.  https://doi.org/10.1016/j.procs.2015.05.504 CrossRefGoogle Scholar
  11. 11.
    Vesting F, Gustafsson R, Bensow RE (2016) Development and application of optimisation algorithms for propeller design. Ship Technol Res 63(1):50.  https://doi.org/10.1080/09377255.2016.1145916 CrossRefGoogle Scholar
  12. 12.
    Gaggero S, Gonzalez-Adalid J, Sobrino MP (2016) Design and analysis of a new generation of CLT propellers. Appl Ocean Res 59:424.  https://doi.org/10.1016/j.apor.2016.06.014 CrossRefGoogle Scholar
  13. 13.
    Gaggero S, Tani G, Villa D, Viviani M, Ausonio P, Travi P, Bizzarri G, Serra F (2017) Efficient and multi-objective cavitating propeller optimization: an application to a high-speed craft. Appl Ocean Res 64:31.  https://doi.org/10.1016/j.apor.2017.01.018 CrossRefGoogle Scholar
  14. 14.
    Geertsma R, Negenborn R, Visser K, Hopman J (2017) Design and control of hybrid power and propulsion systems for smart ships: a review of developments. Appl Energy 194:30.  https://doi.org/10.1016/j.apenergy.2017.02.060 CrossRefGoogle Scholar
  15. 15.
    Woud HK, Stapersma D (2013) Design of propulsion and electric power generation systems. IMarEST, LondonGoogle Scholar
  16. 16.
    Wimshurst M (2002) In: IEEE power engineering society summer meeting. IEEE.  https://doi.org/10.1109/pess.2002.1043230
  17. 17.
    Dimopoulos GG, Georgopoulou CA, Stefanatos IC, Zymaris AS, Kakalis NM (2014) A general-purpose process modelling framework for marine energy systems. Energy Convers Manag 86:325.  https://doi.org/10.1016/j.enconman.2014.04.046 CrossRefGoogle Scholar
  18. 18.
    Solem S, Fagerholt K, Erikstad SO, Patricksson Ø (2015) Optimization of diesel electric machinery system configuration in conceptual ship design. J Marine Sci Technol 20(3):406.  https://doi.org/10.1007/s00773-015-0307-4 CrossRefGoogle Scholar
  19. 19.
    Rodrigues T, Neves G, Gouveia L, Abi-Ramia M, Fortes M, Gomes S (2018) Impact of electric propulsion on the electric power quality of vessels. Electr Power Syst Res 155:350.  https://doi.org/10.1016/j.epsr.2017.11.006 CrossRefGoogle Scholar
  20. 20.
    Chalfant J (2015) Early-stage design for electric ship. Proc Inst Electr Electron Eng (IEEE) 103(12):2252CrossRefGoogle Scholar
  21. 21.
    Colaço MJ, Orlande HRB, Dulikravich GS (2006) Inverse and optimization problems in heat transfer. J Braz Soc Mech Sci Eng 28(1):1.  https://doi.org/10.1590/s1678-58782006000100001 CrossRefGoogle Scholar
  22. 22.
    MathWorks (2016) Support documentation. https://www.mathworks.com/help/matlab/index.html. Accessed 15 July 2016
  23. 23.
    Holtrop J, Mennen GGJ (1982) An approximate power prediction method. Int Shipbuild Prog 29:166CrossRefGoogle Scholar
  24. 24.
    Holtrop J (1984) A statistical re-analysis of resistance and propulsion data. Int Shipbuild Prog 31:272Google Scholar
  25. 25.
    Rotteveel E, Hekkenberg R, Liu J (2014) In: Proceedings of the European inland waterway navigation conference. Budapest, HungaryGoogle Scholar
  26. 26.
    Holden KO, Fagerjord O, Frostad R (1980) Early design-stage approach to reducing hull surface forces due to propeller cavitation. SNAME Trans 88:403Google Scholar

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  • Crístofer H. Marques
    • 1
    Email author
  • Carlos R. P. Belchior
    • 2
  • J.-D. Caprace
    • 2
  1. 1.School of EngineeringFederal University of Rio GrandeRio GrandeBrazil
  2. 2.Department of Naval and Oceanic EngineeringFederal University of Rio de JaneiroRio de JaneiroBrazil

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