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Regression formulas for the estimation of engine total power for tankers, container ships and bulk carriers on the basis of cargo capacity and design speed

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Języki publikacji
EN
Abstrakty
EN
This article presents regression formulas for the preliminary design of tankers, bulk carriers and container vessels, based on the data of ships built from 2000 to 2018. The formulas could have practical application for the estimation of total engine power by using ship’s deadweight or TEU capacity and speed. The regressions presented in this article are based on the most recent data and were developed for individual sub-types of tankers, bulk carriers and container ships. The presented regressions comply with trends found in the literature and offer greater accuracy for characteristics of new-built ships.
Rocznik
Tom
Strony
82--94
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
  • Maritime University of Szczecin ul. W. Chrobrego 1-2 70-500 Szczecin Poland
Bibliografia
  • 1. Celik F., Erturk I, Turan E.: Investigation of main particulars subject to minimum building cost for chemical tankers. Ocean Engineering 73 (2013) , pp. 32–37.
  • 2. Chądzyński W.: Elements of contemporary design methods of floating objects (in Polish). Scientific Reports of Szczecin University of Technology (2001), Department of Ocean Engineering and Marine System Design.
  • 3. Ekincia S., Celebia U.B., Bala M., Amasyalia M.F., Boyacia K.: Predictions of oil/chemical tanker main design parameters using computational intelligence techniques. Applied Soft Computing 11 (2011), pp. 2356–2366.
  • 4. Elvekrok D.R.: Concurrent Engineering in Ship Design. Journal of Ship Production, (1997) Vol. 13, No. 4, pp. 258–269.
  • 5. Sea-web Ships (2018) [Online]. Available from: https:// maritime.ihs.com [Accessed: 10. Feb. 2018]
  • 6. Kristensen H.O.: Determination of Regression Formulas for Main Dimensions of Tankers and Bulk Carriers based on IHS Fairplay data. Project no. 2010–56, Emissionsbeslutningsstøttesystem. Work Package 2, Report No. 02. (2012), Technical University of Denmark.
  • 7. Lin C., Shaw H.: Feature-based estimation of preliminary costs in shipbuilding. Ocean Engineering 144 (2017), pp. 305–319.
  • 8. MAN Diesel AS: Propulsion trends in tankers (2007).
  • 9. Papanikolaou A.: Ship Design: Methodologies of Preliminary Design. Springer , Dordrecht (2014).
  • 10. Piko G. P.: Regression Analysis of Ship Characteristics. C. J. Thompson Commonwealth Government Printer, Canberra (1980).
  • 11. Rawson K.J. and Tupper E.C.: Basic Ship Theory. Ship Dynamics and Design. Volume 2. Fifth edition. ButterworthHeinemann, (2001).
  • 12. Schneekluth H., Bertram V.: Ship Design for Efficiency and Economy. Second edition. Butterworth-Heinemann, (1998).
  • 13. SigmaLab (2017) ndCurveMaster [Computer software] Available from: www.ndcurvemaster.com [Accessed: 4 Dec. 2017]. Szczecin, Poland.
  • 14. Watson D.G.M.: Practical Ship Design. Volume 1. Elsevier Science, (1998).
  • 15. Żelazny K.: Method for determination of service speed useful in the initial design of cargo vessels under statistical weather conditions occurring on shipping route (in Polish). West Pomeranian University of Technology, Publishing House, Szczecin, (2015).
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cf664c97-e6f6-4265-814c-3c08a7ad289c
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