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Initial considerations for operational parameters intended to minimize fuel consumption by ships in real weather conditions

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents the concept of modeling a ship’s operating parameters in order to minimize the fuel consumption in real weather conditions. This is an important innovation because, in ship theory, fuel consumption and speed are usually expressed by average values over longer periods of time, which is a significant limitation. This article presents selected topics of the proposed research such as state-of-the-art, general objectives, scientific and technical expectations, scientific and economic extensions, and environmental impacts. The article also proposes an original method of the research.
Słowa kluczowe
Rocznik
Strony
9--14
Opis fizyczny
Bibliogr. 22 poz., rys.
Twórcy
autor
  • Maritime University of Szczecin 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland
Bibliografia
  • 1. ABRAMOWSKI, T. (2008) Application of artificial neural networks to assessment of ship manoeuvrability qualities. Polish Maritime Research. 2(56), 15. pp 15–21.
  • 2. ALIGNE, F., PAPAGEORGIOU, M. & RAMOS, J. (1997) Fuel Minimisation for Ship Weather Routing. Preprints of the 8th IFAC/IFIP/IFORS Symposium, Greece.
  • 3. CEPOWSKI, T. (2008a) Design Parameters Optimization of ROPAX Ferry Using Seakeeping Characteristics and Additional Wave Resistance. Problemy Eksploatacji. 2(69). pp. 149–158.
  • 4. CEPOWSKI, T. (2008b) Determination of optimum Hull form for passenger car ferry with regard to its sea-keeping qualities and additional resistance in waves. Polish Maritime Research. 2(56), 15. pp. 3–11.
  • 5. CEPOWSKI, T. (2009) On the modeling of car passenger ferryship design parameters with respect to selected seakeeping qualities and additional resistance in waves. Polish Maritime Research. 3(61), 16. pp. 3–10.
  • 6. CEPOWSKI, T. (2010) Design guidelines for predicting wave resistance of ro-ro ferries in the initial designing stage. Scientific Journals of the Maritime University of Szczecin. 22(94). pp. 5–9.
  • 7. CEPOWSKI, T. (2011) Approximation of added resistance in waves based on main ro-ro ferry dimensions and wave parameters. Archives of Transport. 23, 4. pp. 435–445.
  • 8. CHRISTIANSEN, M. (1999) Decomposition of a Combined Inventory and Time Constrained Ship Routing Problem. Transportation Science. 33, 1. pp. 3–16.
  • 9. DROZD, A. (2006) Ship’s fuzzy speed curve. Zeszyty Naukowe Akademii Morskiej w Szczecinie. 11(83). pp. 39–50.
  • 10. FAGERHOLT, K., LAPORTE, G. & NORSTAD, I. (2010) Reducing fuel emissions by optimizing speed on shipping routes. Journal of the Operational Research Society. 61. pp. 523– 529.
  • 11. GERRITSMA, J. & BEUKELMAN, W. (1972) Analysis of the resistance increase in waves of a fast cargo ship. International Shipbuilding Progress. 19. pp. 285–293.
  • 12. GREEN, E., WINEBRAKE, J. & CORBETT, J. (2008) Opportunities for Reducing Greenhouse Gas Emissions from Ships. Submitted by Energy and Environmental Research Associates, LLC; Pittsford, NY; USA, Prepared for the Clean Air Task Force, Boston, MA, USA, 30 July.
  • 13. HOSODA, R. (1973) The added resistance of ships in regular oblique waves. Japanese Society of Naval Architects. 133. pp. 1–20.
  • 14. IMO (2015) [Online] Avalable from: www.imo.org [Accessed: July 2015]
  • 15. LOGAN, K. (n.d.) What is the object of measurement? Defining hull & propeller performance in the context of overall ship energy efficiency, MACSEA Ltd., Ship Health Monitoring Solutions, Oslo Workshop. [Online]. Available from: http://bellona.org/imagearchive-org/binary_files_ attachments/fil_2_MacSea_presentation_Oslo_Workshop. pdf [Accessed: 01st March 2015].
  • 16. MARUO, H. (1957) The excess resistance of a ship in rough sea. International Shipbuilding Progress. 4. pp. 337–345.
  • 17. NORSTAD, I., FAGERHOLTA, K. & LAPORTEC, G. (2011) Tramp ship routing and scheduling with speed optimization. Transportation Research Part C: Emerging Technologies. 19, 5. pp. 853–865.
  • 18. SZELANGIEWICZ, T., WIŚNIEWSKI, B. & ŻELAZNY, K. (2014) The influence of wind, wave and loading condition on total resistance and speed of the vessel. Polish Maritime Research. 21, 3. pp. 61–67.
  • 19. TSUJIMOTO, M. & TANIZAWA, K. (2006) Development of a weather adaptive navigation system considering ship performance in actual seas. Proceedings of the 25th International Conference on Offshore Mechanics and Arctic Engineering. 2. pp. 413–421.
  • 20. WIŚNIEWSKI, B. MEDYNA, P. & CHOMSKI, J. (2009) Application of the 1-2-3 Rule for Calculations of a Vessel’s Route Using Evolutionary Algorithms. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation. 3(2). pp. 143—146.
  • 21. WIŚNIEWSKI, B., MEDYNA, P. & CHOMSKI, J. (2013) Adjusting the Speed Characteristic of a Ship during a Voyage with Tropical Cyclone Avoidance. Communications in Computer and Information Science. 395. pp. 346–352.
  • 22. YIYO, K. (2010) Using simulated annealing to minimize fuel consumption for the time-dependent vehicle routing problem. Computers & Industrial Engineering. 59, 1. pp. 157–165.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ee30ec94-eb8b-4b8d-a5a8-b904b3d7a090
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