International Journal of Naval Architecture and Ocean Engineering

The Society of Naval Architects of Korea (대한조선학회)
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Electric power consumption predictive modeling of an electric propulsion ship considering the marine environment

  • Lim, Chae-og (Department of Naval Architecture & Ocean Engineering, Pusan National University) ;
  • Park, Byeong-cheol (Department of Naval Architecture & Ocean Engineering, Pusan National University) ;
  • Lee, Jae-chul (Department of Naval Architecture & Ocean Engineering, Gyeongsang National University) ;
  • Kim, Eun Soo (Department of Naval Architecture & Ocean Engineering, Pusan National University) ;
  • Shin, Sung-chul (Department of Naval Architecture & Ocean Engineering, Pusan National University)
  • Received : 2018.05.31
  • Accepted : 2019.02.19
  • Published : 2019.02.18
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Abstract

This study predicts the power consumption of an Electric Propulsion Ship (EPS) in marine environment. The EPS is driven by a propeller rotated by a propulsion motor, and the power consumption of the propeller changes by the marine environment. The propulsion motor consumes the highest percentage of the ships' total power. Therefore, it is necessary to predict the power consumption and determine the power generation capacity and the propeller capacity to design an efficient EPS. This study constructs a power estimation simulator for EPS by using a ship motion model including marine environment and an electric power consumption model. The usage factor that represents the relationship between power consumption and propulsion is applied to the simulator for power prediction. Four marine environment scenarios are set up and the power consumed by the propeller to maintain a constant ship speed according to the marine environment is predicted in each scenario.

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References

  1. Bo, T.I., Johansen, T.A., Dahl, A.R., Miyazaki, M.R., Pedersen, E., Rokseth, B., Skjetne, R., Sorensen, A.J., Thorat, L., Utne, I.B., Yum, K.K., Mathiesen, E., 2015. Real-time marine vessel and power plant simulation. In: Proceedings of the ASME 34th International Conference on Ocean. Offshore and Engineering OMAE, May, Canada.
  2. Bortnowska, M., 2007. Prediction of power demand for ship motion control system of sea mining ship fitted with tubular winning system. Pol. Marit. Res. 14, 24-30. https://doi.org/10.2478/v10012-007-0036-7
  3. Faltinsen, O.M., 1990. Sea Loads on Ships and Offshore Structures. Cambridge University Press, Cambridge, pp. 187-197.
  4. Fujiwara, T., Ueno, M., Ikeda, Y., 2006. Cruising performance of a large passenger ship in heavy sea. In: Proceedings of the Sixteenth International Offshore and Polar Engineering Conference, May, San Francisco.
  5. Hong, J.T., Kang, K.H., Bae, J.C., 2012. Establishment of evaluation infrastructure for research and certification of electric propulsion vessels. Bull. Soc. Naval Archit. Korea 49, 60-65 ([In Korean]). https://doi.org/10.3744/SNAK.2012.49.1.60
  6. Jeon, W., 2008. Modeling and Characteristic Analysis of Electric Ship Propulsion System. Master's thesis. Donga University.
  7. Kalsi, S.S., Nayak, O., 2005. Ship electrical system simulation. In: IEEE Electric Ship Technologies Symposium, July, Philadelphia.
  8. Kim, S.Y., 2007. Suppression of the Thrust Loss for the Maximum Thrust Operation in the Electric Propulsion Ship. Master's thesis. Seoul National University.
  9. Kim, Y.M., 2013. Power Management System Modeling and Characteristics Analysis for Electric Propulsion Ship. Master's thesis. Sungkyunkwan University.
  10. Koo, D.H., 2009. Electric propulsion ship technology trend. Korean Inst. Electr. Eng. World of Electr. 58, 36-43 ([In Korean]).
  11. Kwak, K.K., 2014. A Study on Integrated-Power-System Simulation Model of Electric-Propulsion-Ship. Master's thesis. Pusan National University.
  12. Lee, S.G., Kim, S.H., Jeong, Y.S., Jung, S.Y., 2009. Power system modeling and analysis of electric ship propulsion system. In: 31st International Telecommunications Energy Conference. INTELEC, October, Incheon.
  13. Lim, C.O., Bae, J.H., Park, B.C., Shin, S.C., 2017. Electric power consumption predictive modeling of electric propulsion ship considering the marine environment. In: 4th International Conference on Systems and Informatics (ICSAI), November, Hangzhou.
  14. Lloyd, A.R.M.J., 1998. Seakeeping: Ship Behaviour in Rough Weather. Chester, Gosport UK.
  15. MSS (Marine Systems Simulator, NTNU, http://www.marinecontrol.org).
  16. Park, J.Y., 2011. Study on the Effect of the Wind and Current on the Crabbing Motion of a Ship in Restricted Water. Master's thesis. Seoul National University. Prempraneerach, P., Kirtley, J., Chryssostomidis, C., Triantafyllou, M.S.,
  17. Karniadakis, G.E., 2009. Design of the all-electric ship: focus on integrated power system coupled to hydrodynamics. In: Proceedings of the American Society of Naval Engineers and the Society of Naval Architects and Marine Engineers Electric Ship Design Symposium, February 2009.
  18. Sorensen, A.J., 2013. Marine Control Systems Propulsion and Motion Control of Ships and Ocean Structures: Lecture Notes, Report UK-13-76. Norwegian University of Science and Technology.
  19. Yeom, D.J., 2012. Ship Motion and Manoeuvrability. Ulsan University Press, Ulsan, South Korea, pp. 54-59 ([In Korean]).
  20. Zahedi, B., Norum, L.E., 2013. Modeling and simulation of all-electric ships with low-voltage DC hybrid power systems. IEEE Trans. Power Electron. 28, 4525-4537. https://doi.org/10.1109/TPEL.2012.2231884

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