Optimization Of Ship Oil Consumption Based On Sailing Data

In order to improve energy efficiency and reduce carbon emission of ship,the International Maritime Organization has developed Ship Energy Efficiency Management Plan(SEEMP).The resulting improved energy efficiency also contributes to economic benefits.Based on the sailing data of Danish ferry Smyril,a black-box model for the ferry oil consumption is established using artificial neural network.This black-box model is then combined with the dynamic programming method to provide an optimal sailing plan,which could improve the Energy Efficiency Operational Indicator(EEOI)for better energy efficiency and lower carbon emission.The established framework of oil consumption optimization could be applied to any ship directly.It has significant benefits for the effective application of Ship Energy Efficiency Management Plan(SEEMP).