Abstract
The recent years have seen an evolution of traditional approaches in ship design. Raising fuel costs, tough and volatile market conditions, the constant societal pressure for a «green» environmental footprint combined with ever demanding international safety regulations pose a new challenge for today’s Naval Architect. As a result of this current status of shipping commercial ship design is shifting towards new approaches where holistic approaches are deemed necessary. Apart from considering all the interrelationships between the subsystems that consist the vessel, lifecycle and supply chain considerations are the key in successful and «operator-oriented» designs. The paper presents a methodology within the parametric design software CAESES® for the optimization of the basic design of a new vessel and the operation of an existing one with regards to the maximization of the efficiency, safety and competitiveness of the final design. A case study with the design optimization was undertaken based on the simulation of the anticipated operation of a vessel engaged in the supply chain of Iron Ore. The target was the minimization of costs, fuel consumptions as well as of the Energy Efficiency Operating Index (EEOI) under conditions of uncertainty.
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References
UN Doc FCCC/CP/1997/7/Add.1: Kyoto Protocol to the United Nations Framework Convention on Climate Change, Dec. 10, 1997; 37 ILM 22 (1998)
Papanikolaou, A.: Holistic ship design optimization. Comput. Aided Des. (2009). https://doi.org/10.1016/j.cad.2009.07.002
FRIENDSHIP SYSTEMS, CAESES® (2015). www.caeses.com
Boulougouris, E.K., Papanikolaou, A., Zaraphonitis, G.: Optimisation of arrangements of Ro-Ro passenger ships with genetic algorithms. Ship Technol. Res. 51(3), 99–105 (2004)
Papanikolaou, A., Zaraphonitis, G., Boulougouris, E., Langbecker, U., Matho, S., Sames, P.: Multi-objective optimization of oil tanker design. J. Mar. Sci. Technol. 15(4), 359–373 (2010)
Nikolopoulos, L.: A holistic methodology for the optimization of tanker design and operation and it’s applications. Diploma Thesis NTUA, July 2012
Koutroukis, G.: Parametric design and multiobjective optimization-study of an ellipsoidal containership. Diploma Thesis NTUA, January 2012
Lackenby, H.: On the systematic geometrical variation of ship forms. Trans INA 92, 289–316 (1950)
Holtrop, J., Mennen, G.G.J.: An approximate power prediction method. International Shipbuilding Progress (1982)
Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)
MAN B&W: Marine Engine Program (2015)
Papanikolaou, A.: Ship Design: Methodologies of Preliminary Design. Springer. ISBN 978-9401787505
IMO, Intact Stability Code (2008)
Kwon, Y.J.: Speed loss due to added resistance in wind and waves. In: The Naval Architect, vol. 3, pp. 14–16 (2008)
Lu, R., Turan, O., Boulougouris, E.: Voyage optimisation: prediction of ship specific fuel consumption for energy efficient shipping. In: Low Carbon Shipping Conference, London (2013)
IMO Resolution MEPC.212(63): Guidelines on the method of calculation of the attained energy efficiency design index (EEDI) for new ships, March 2012
MAN Diesel and Turbo, SL2014-587 «Guidelines of Cylinder Lubrication», Copenhagen (2014)
Darwin, C.: On the origin of species by means of natural selection, or the preservation of favoured races in the struggle for life, 1st edn. John Murray, London (1859)
Acknowledgements
The authors would like to express their deep gratitude to their mentor and teacher, Professor Apostolos Papanikolaou, Director of the Ship Design Laboratory at the National Technical University of Athens, who has been the inspiration for this paper. Furthermore, the authors would like to acknowledge the help of Star Bulkcarriers Corporation in providing valuable data from their operating fleet and reference drawings.
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Nikolopoulos, L., Boulougouris, E. (2019). Application of Holistic Ship Optimization in Bulkcarrier Design and Operation. In: Minisci, E., Vasile, M., Periaux, J., Gauger, N., Giannakoglou, K., Quagliarella, D. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-319-89988-6_14
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DOI: https://doi.org/10.1007/978-3-319-89988-6_14
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