Modelling of ship resistance and power consumption for the global fleet: The MariTEAM model
Young-Rong Kim, Sverre Steen, Diogo Kramel, Helene Muri, Anders Hammer Strømman
Abstract
A system that can reliably estimate power consumption based on operational profiles and weather conditions is needed to evaluate global shipping emissions and alternative reduction scenarios. Due to a lack of detailed ship information, uncertainties in collected data, and computing complexity, many prior bottom-up investigations used simplified calculations and empirical equations. Some methodologies offered only approximate estimates that were not enough to capture power consumption trends based on the global fleet’s geographical, seasonal, and operational features. This work intends to develop and implement a power prediction method that can be applied in a bottom-up approach based on fleet composition and trading patterns. We present a comprehensive approach for powering prediction, encompassing data pre-processing, ship resistance estimation, and propulsion efficiency, based on the Maritime Transport Environmental Assessment Model. The model’s predictions match well with full-scale measurements of three operating ships and 2018 EU-MRV (European Union-Monitoring, Reporting, and Verification) data on annual fuel consumption and emissions for ships. The average error with the MRV data on annual CO2 emissions is below the median of 3% and the semi-interquartile range of 14%. Thus, the proposed model can be used to simulate the power performance and energy consumption of worldwide shipping.