OPERATIONAL DATA ANALYSIS TO AID THE OPTIMIZATION OF RETROFIT SOLUTIONS WITHIN ‘RETROFIT55’ FRAMEWORK

N. Themelis, School of Naval Architecture and Marine Engineering (NTUA)
G. Nikolaidis, SimFWD
V. Zagkas, SimFWD
N. Tsoulakos, Laskaridis Shipping Co. Ltd
Corresponding author: nthemelis@naval.ntua.gr

Presented at the 17th Annual Conference of Marine Technology (ΕΛ.Ι.Ν.Τ.) – Nov 2023

ABSTRACT
The RETROFIT55 EU project aims to develop and demonstrate energy-saving solutions able to reduce the fuel consumption of waterborne transport by at least 35% before 2030 compared to 2008, with particular focus on retrofits. In the current paper two key areas of this project are presented. The first one concerns the operational data analysis of the bulk carrier case study and the use of the data to derive useful conclusions and setup of the subsequent hydrodynamic optimization studies that will follow. The second one focuses on the operational optimization measures. Specifically, the preliminary assessment of the vessel’s hydrodynamic performance is presented, using an appropriate Key Performance Indicator (KPI) and aiming at the identification of the effect of maintenance actions. This analysis is a first step towards a more advanced method for the hull & propeller condition monitoring that will be based on data-driven models. Therefore, key elements and steps needed for the development of the Machine Learning (ML) models are briefly highlighted. Lastly, the next steps of hydrodynamic optimization are discussed.