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Optimization of Ship Energy Efficiency Considering Navigational Environment and Safety

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Proceedings of the 5th International Conference on Numerical Modelling in Engineering

Abstract

The attention to ship energy efficiency and CO2 emission is significantly increasing. Both are related to fuel consumption and can be assessed by ship energy efficiency operational indicator (EEOI). The aim of this research is to develop a formula for estimation of operational carbon intensity indicator (CII) and an optimal model of ship’s route and operational speed to minimize the EEOI considering navigational environment and ship’s safety. The formula for CII is given assuming to be a function of a ship’s main particular, i.e. block coefficient, and ratio of operating speed to design speed of the ship. For navigational environment, wave and wind, which influence the ship’s performance especially including resistance and seakeeping, are considered. For ship’s safety, motion sickness incidence (MSI) which is one of seakeeping indices is considered. Particle Swarm Optimization (PSO) algorithm is adopted to solve the model. The proposed method is illustrated with a numerical example, comparing with full-scale data. The comparing results show the proposed method can effectively reduce the CO2 emission and improve the ship energy efficiency.

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Acknowledgements

This work was supported by the Korea Classification Society. The authors would like to thank the expert reviewers for their helpful comments on our work.

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Correspondence to Min Hyok Jon .

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Jon, M.H., Yu, C.I. (2023). Optimization of Ship Energy Efficiency Considering Navigational Environment and Safety. In: Abdel Wahab, M. (eds) Proceedings of the 5th International Conference on Numerical Modelling in Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-0373-3_1

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  • DOI: https://doi.org/10.1007/978-981-99-0373-3_1

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