A grey-box model approach using noon report data for trim optimization

Trim optimization improves the energy efficiency of ships, thus reducing operational costs and emissions; however, trim tables are only available for a limited number ships. There is desire to develop additional, more accurate without need expensive model testing. The objective this research was method decrease fuel consumption by optimization, dynamic shaft power estimation based on data. A that uses noon report data grey-box modelling approach proposed. grey box consists multi-layer feedforward neural network estimate required power, using parameters an initial power. case study presented modern chemical tanker sea trials have been conducted validate results. provides correct advice full load conditions; magnitude effect smaller compared trial able with average accuracy over 6% random subset Due challenges inherent reports as source, actual speed bigger than extracted trend.