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An approximate method for calculating the mean statistical service speed of container ships on a given shipping line and its application in preliminary design

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Języki publikacji
EN
Abstrakty
EN
During ship design, service speed is one of the crucial parameters in determining the operational economy of the vessel. As sufficiently exact calculation methods applicable to preliminary design stage are lacking, the so-called contract speed, the speed which a ship reaches in calm water, is usually cited. Żelazny (2015) developed a parametric method for calculating total ship resistance under actual weather conditions (wind, waves, sea current). This paper presents a parametric model of a ship’s propulsion system (screw propeller – propulsion engine) as well as a method, based on both the resistance and propulsion system models, of calculating the mean statistical value of a ship’s service speed under the seasonal weather conditions occurring on shipping lines. The method makes use only of basic design parameters, and may be applied in preliminary design phase of container ships.
Rocznik
Strony
34--42
Opis fizyczny
Bibliogr. 11 poz., rys., tab.
Twórcy
  • Maritime University of Szczecin, Faculty of Navigation 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland
autor
  • West Pomeranian University of Technology Szczecin, Faculty of Maritime Technology and Transport 41 Piastów Avenue, 71-065 Szczecin, Poland
Bibliografia
  • 1. ABRAMOWSKI, T. (2011) Elements of multidisciplinary optimization of technical and economic indices in preliminary concurrent design of transport ships (in Polish). Szczecin: Publishing House of West Pomeranian University of Technology in Szczecin.
  • 2. HOLTROP, J. (1977) A statistical analysis of performance test result. International Shipbuilding Progress. 24. 270. pp. 23–28.
  • 3. HOLTROP, J. (1984) A Statistical Re-analysis of Resistance and Propulsion Data. International Shipbuilding Progress. 363.pp. 272–276.
  • 4. HOLTROP, J. (1988) A Statistical Resistance Prediction Method with a Speed Dependent Form Factor. Proceedings of the 17th Session BSHC, Varna 17–22 Oct. 1988, Vol. 1, pp. 3.1–3.7.
  • 5. HOLTROP, J. & MENNEN, G.G.J. (1982) An Approximate Power Prediction Method. International Shipbuilding Progress. 29. 335. pp. 166–170.
  • 6. SZELANGIEWICZ, T. & ŻELAZNY, K. (2006) Calculation of the Mean Long-Term Service Speed of Transport Ship, Part I: Resistance of Ship Sailing on Regular Shipping Route in Real Weather Conditions. Polish Maritime Research. 4(50). 13. pp. 23–31.
  • 7. SZELANGIEWICZ, T. & ŻELAZNY, K. (2007a) Calculation of Mean Long-Term Service Speed of Transport Ship, Part II: Service Speed of Ship Sailing on Regular Shipping Route in Real Weather Conditions. Polish Maritime Research. 1. 14. pp. 28–32.
  • 8. SZELANGIEWICZ, T. & ŻELAZNY, K. (2007b) Calculation of Mean Long-Term Service Speed of Transport Ship, Part III: Influence of Shipping Route and Ship Parameters on its Service Speed. Polish Maritime Research. 2. 14. pp. 27– 32.
  • 9. SZELANGIEWICZ, T., WIŚNIEWSKI, B. & ŻELAZNY, K. (2014a) Forecasting operating speed of the ship in the selected weather conditions. Zeszyty Naukowe Akademii Morskiej w Szczecinie. 8(110). pp. 89–98.
  • 10. SZELANGIEWICZ, T., WIŚNIEWSKI, B. & ŻELAZNY, K. (2014b) The influence of wind, wave and loading condition on total resistance and speed of the vessel. Polish Maritime Research. 3(83), 21. pp. 61–67.
  • 11. ŻELAZNY, K. (2015) A method for determination of service speed useful in the preliminary design of cargo vessels under statistical weather conditions occurring on shipping route. Szczecin: Publishing House of West Pomeranian University of Technology in Szczecin.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3888cec5-7f86-4fa9-817d-49afbb607a9f
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