Performance Prediction Program for Wind-Assisted Cargo Ships

Wind-Assisted Propulsion Systems (WAPS) can play a key role in achieving the IMO 2050 targets on reducing total annual GHG emissions from international shipping by at least 50%. The present project deals with development of six degree freedom (DoF) Performance Prediction Program (PPP) for wind-assisted cargo ships aimed contributing knowledge WAPS performance. It is fast and easy tool, able to predict performance any commercial ship three possible different installed: rotor sails, rigid wing sails DynaRigs; only main particulars general dimensions as input data. tool based semi-empirical methods aerodynamic database created published data lift drag coefficients, which be interpolated aim scale sizes configurations. A model validation carried out evaluate its reliability. results are compared real sailing Long Range 2 (LR2) class tanker vessel, Maersk Pelican. study indicates that PPP shows good agreement technology suppliers’ own modelling reasonable trends measurements. However, downwind conditions, predictions more conservative than measured values. Lastly, showing comparing power savings presented. Rotor Sails found most efficient studied much higher potential driving force generation per square meter projected sail area.