Attention to ship energy efficiency and CO2 emission is significantly increasing.
Both are related to fuel consumption and they can be assessed by ship energy efficiency operational indicator (EEOI).
Jon Min Hyok, a section head at the Faculty of Shipbuilding and Ocean Engineering, has developed a formula for estimation of an operational carbon intensity indicator (CII) and an optimal model of ship’s route and operational speed to minimize the EEOI with navigational environment and ship’s safety in consideration.
He developed a formula for estimation of CII, assuming that it is a function of ship’s main particulars such as block coefficient, and the ratio of operation speed to design speed of the ship.
For navigational environment, he considered wave and wind, which greatly influence ship’s performance including resistance and seakeeping.
For ship’s safety, he considered motion sickness incidence (MSI), one of the seakeeping indices.
Particle Swarm Optimization (PSO) algorithm was adopted to solve the model.
He illustrated the proposed method with a numerical example, comparing with full-scale data. The comparison results showed the proposed method can effectively reduce CO2 emission and improve ship energy efficiency.
If further information is needed, please refer to his paper “Optimization of ship energy efficiency considering navigational environment and safety” published in “Proceedings of the 5th International Conference on Numerical Modelling in Engineering (NME 2022)”.
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