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2019 | 2 | 24--30
Tytuł artykułu

Computational Equation Discovery of Relationships Between Container Ship Fuel Consumption and Hull and Propeller Fouling Phenomena

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This article presents the relationship between fuel consumption, hull and propeller fouling phenomena and ship operational parameters. The study clearly shows the relationship between the fuel consumption of a container ship and the number of months since its last docking. Data, on which to base estimations, was measured and recorded from a container ship during 96 months at sea. The author developed a new heuristic algorithm to semi-automatically discover these relationship by the use of regression and evolution theory based on computational equation discovery methods. NdCurveMaster software was developed on the basis of this algorithm by the author and applied to discover the relationships presented in this paper. All relationships presented in this paper could have practical application in maritime transport analysis during ocean travel and speed up the development of ship theory development. (original abstract)
Rocznik
Tom
2
Strony
24--30
Opis fizyczny
Twórcy
  • Maritime University of Szczecin
  • Maritime University of Szczecin, Poland
Bibliografia
  • Atkinson, G., Cowpe, E., Halliday, J. and Painter, D. (2017). A review of very large vapour cloud explosions: Cloud formation and explosion severity. Journal of Loss Prevention in the Process Industries, 48, pp. 367-375.
  • Basu, R. and Verma M. (2017). An expected consequence approach to assessing the viability of multimodal transportation of crude oil in eastern Canada. Case Studies on Transport Policy, 5(3), pp. 518-526.
  • Bubbico, R., Cave, S. and Mazzarotta, B. (2009). Preliminary risk analysis for LNG tankers approaching a maritime terminal. Journal of Loss Prevention in the Process Industries, 22(5), pp. 634-638.
  • Farfan, J. and Breyer, C. (2017). Structural changes of global power generation capacity towards sustainability and the risk of stranded investments supported by a sustainability indicator. Journal of Cleaner Production, 141, pp. 370-384.
  • Krata, P. and Szlapczynska, J. (2017). Ship weather routing optimization with dynamic constraints based on reliable synchronous roll prediction. Ocean Engineering, 150, pp. 124-137.
  • Landucci, G., Antonini, A., Tugnoli, A., Bonvicini, S., Molag, M. and Cozanni, V. (2017). HazMat transportation risk assessment: A revisitation in the perspective of the Viareggio LPG accident. Journal of Loss Prevention in the Process Industries, 49(A), pp. 36-46.
  • Liu, X., Li, J. andi Li, X. (2017). Study of dynamic risk management system for flammable and explosive dangerous chemicals storage area. Journal of Loss Prevention in the Process Industries, 49 (B), pp. 983-988.
  • Mabrouk, A., Boulmakoul, A., Karim, L. and Lbath, A. (2017). Safest and shortest itineraries for transporting hazardous materials using split points of Voronoï spatial diagrams based on spatial modeling of vulnerable zones. Procedia Computer Science, 109, pp. 156-163.
  • PolskieLNG.pl, (2018). Polskie LNG Official Website. [online] Available at: http://www.polskieLNG.pl
  • Sedlaczek, R., (2008). Boil-Off in Large and Small Scale LNG Chains, Diploma Thesis, Faculty of Engineering Science and Technology, Department of Petroleum Engineering and Applied Geophysics. Available at: http://webcache.googleusercontent.com/search?q=cache:IXeBpJEYMswJ:citeseerx.is t.psu.edu/viewdoc/download?doi=10.1.1.470.6116&rep=rep1&type% 3Dpdf+&cd=1&hl=pl&ct=clnk&gl=pl&client=firefox-b-ab [Accessed 22 Jan. 2018].
  • Ślączka, W. (2011). Estimation of the consequences of LNG vessel tank leakage in the port of Świnoujście. Scientific Journals Maritime University of Szczecin, 25(97), pp. 70-76.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171604423

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