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A Dynamic System for Fuel Optimization Trans-Ocean

Published online by Cambridge University Press:  21 October 2009

S. Calvert
Affiliation:
(Institute of Marine Studies, Polytechnic South West)
E. Deakins
Affiliation:
(Institute of Marine Studies, Polytechnic South West)
R. Motte
Affiliation:
(Institute of Marine Studies, Polytechnic South West)

Abstract

Increased fuel costs necessitate a careful consideration of consumption when planning voyages trans-ocean. A model is formulated whereby ship response algorithms are matched with forecast environmental conditions expected for the duration of a voyage. A discrete system allows an optimization routine to minimize fuel costs for a trans-atlantic passage, using dynamic programming techniques.

These are simulated by using an on-board boosted micro-computer. The results are discussed and limitations of the system considered.

Type
Research Article
Copyright
Copyright The Royal Institute of Navigation 1991

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References

REFERENCES

Aertssen, G. (1969) Service performance and trials at sea. App. V. Perf Committee, 12th ITTC.Google Scholar
Aertssen, G. (1975). The effect of weather on two classes of container ship in the North Atlantic, The Naval Architect, 1113.Google Scholar
Babbedge, N. H. (1975). Ship speed analysis. M.Phil thesis, Plymouth Polytechnic, UK.Google Scholar
Bellman, R. (1957). Dynamic programming. Princetown University Press, NY.Google ScholarPubMed
Bishop, J. M. (1984). Applied Oceanography. Wiley-Interscience, New York.Google Scholar
Chen, H. T. (1978). A dynamic programJor minimum cost ship routeing under uncertainty. Ph.D. thesis, MIT, Cambridge MA.Google Scholar
Chen, H. T., Frankel, E. G., Fiore, A. E. and Carleton, H. (1976). Optimization of ship weather routeing. Ship Operation and Automation Symposium, Eds. Pitkin, , Roche, and Williams, , pp 2736.Google Scholar
Clancey, R. M., Kaitala, J. E. and Zambresky, L. F. (1986). The Fleet Numerical Oceanography Global Spectral Ocean Wave Model, Bulletin of the American Meteorological Society, 67, 498512.2.0.CO;2>CrossRefGoogle Scholar
Cummins, W. E. and Bales, S. L. (1980). Extreme and rare occurrence wave statistics for Northern Hemispheric shipping lanes. Proc. 5th STAR Symposium, Society of Naval Architects and Marine Engineers, Paper 15, pp. 219239.Google Scholar
Deakins, E. (1988). Prediction of the risk of capsize of small ships. Ph.D. thesis, Plymouth Polytechnic, UK.Google Scholar
De Wit, C. (1989). Low cost ocean weather routeing for merchant ships. Private Correspondence.Google Scholar
Dooley, L. A. (1978). Merits of weather routeing in the fuel conservation quest. Fuel Economy in Ships.Google Scholar
Easter, E. (1981). Fuel efficiency from satellite navigation. Shipcare and Maritime Management, April, 2329.Google Scholar
Foo, C. C.-K. (1985). Optimization of ship speeds along prescribed courses under uncertainty. M.Sc. thesis, MIT, Cambridge, MA.Google Scholar
Francis, G. W. (1971). Weather routeing procedures in the United States. The Marine Observer, April.Google Scholar
Frankel, F. G. and Chen, H. T. (1980). Optimization of ship routeing, technical report. Report No NMRC-KP-189, NMRC, Kings Point, NY.Google Scholar
Higham, B. J. (1988) Weather routeing of ships. M.Phil, thesis, Plymouth Polytechnic, England.Google Scholar
James, R. W. (1957). Application of Wave Forecasts to Marine Navigation. US Oceanographic Office, SP-1.Google Scholar
Khalilov, S. I. (1980). Stochastic dynamical programming method for computing the most advantageous ship navigation routes. Meteorology and Hydrology, 11, 121125.Google Scholar
Klapp, A. J. (1979). Automated ship routeing. Journal of Hydronautics, 13, 1.CrossRefGoogle Scholar
Korevaar, C. G. (1976). Experiences and results of the ship routeing of the Royal Netherlands Meteorological Institute, (KNMI). Koninklijk Nederlands Meteorologisch Instituut, De Bilt, Wetenschappelijk, Rapport WR 769.Google Scholar
Mackie, G. V. (1975). Avoiding the Heavy Weather Route. Safety at Sea, 169, 3438.Google Scholar
Mackie, G. V. (1981). Weather routeing of ships. Shipcare & Maritime management, April, PP 3135.Google Scholar
Meek, M. (1970). The first OCL container ships. Royal Institute of Naval Architects' Journal, 112, 1, pp. 141.Google Scholar
Miller, J. N. (1983). Does oceanrouteing reduce casualties? Oceanroutes (UK) Ltd, Privote Correspondence.Google Scholar
Moens, W. D. (1980). Weather routeing of ships. Trans. Inst. Mar. E., 92, paper C55, pp. 2126.Google Scholar
Motte, R. H. (1981). Ship-based weather routeing (using dynamical meteorology), Ph.D. thesis, Plymouth Polytechnic, England.Google Scholar
Motte, R. H. (1987). Ship damage and loss. A case for the weather routeing of ships. This Journal, 36, 480495.Google Scholar
Motte, R. H., Burns, R. S. and Calvert, S. (1988). An overview of current methods used in weather routeing. This Journal, 41, 101115.Google Scholar
Motte, R. H. and Calvert, S. (1990). On the selection of discrete grids for on-board weather routeing. This Journal, 43, 104.Google Scholar
Motte, R. H., Manhire, B. J. and Higham, J. R. (1985). Diagnostic and dynamical modelling for weather routeing of ships using on-board micro-computers. Proc. Int Conf on Computer Applications in the Operation and Management of Ships and Cargoes, RINA, paper 10.Google Scholar
Nagle, F. W. (1972). A numerical study in optimum track ship routeing climatology. Environmental Prediction and Research Facility, Naval Postgraduate School, Monterey, CA, Technical Report No 1072, September.Google Scholar
Richards, J. (1978). The optimum speed for future trading. Fuel Economy in Ships.Google Scholar
Townsin, R. L. and Kwon, Y. J. (1983). Approximate formulae for the speed loss due to added resistance in wind and waves. Royal Institute of Naval Architects& Journal, 125 199207.Google Scholar
Wagland, J. (1985). A question of weather. Oceanvoice, 5, 812.Google Scholar
Zoppoli, R. (1972). Minimum time routeing as an N-stage decision process. Journal of Applied Meteorology, 11, 429455.2.0.CO;2>CrossRefGoogle Scholar