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Part of the book series: Computational Methods in Applied Sciences ((COMPUTMETHODS,volume 48))

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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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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Correspondence to Lampros Nikolopoulos .

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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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