Numerical methods for monitoring and evaluating the biofouling state and effects on vessels’ hull and propeller performance

Numerical methods for monitoring and evaluating the biofouling state and effects on vessels’ hull and propeller performance: A review

Valchev, Iliya (University of Strathclyde)
Coraddu, A. (TU Delft Ship Design, Production and Operations; University of Strathclyde)
Kalikatzarakis, Miltiadis (University of Strathclyde; Damen Naval)
Geertsma, R.D. (TU Delft Ship Design, Production and Operations)
Oneto, Luca (University of Genova)

2022

Monitoring and evaluating the biofouling state and its effects on the vessel's hull and propeller performance is a crucial problem that attracts the attention of both academy and industry. Effective and reliable tools to address this would allow a timely cleaning procedure able to trade off costs, efficiency, and environmental impacts. In this paper, the authors carry out a critical review, accompanied with summary tables, of the biofouling problem with a particular focus on the shipping industry and the state-of-the-art techniques for monitoring and evaluating the biofouling state and its effects on the vessel's hull and propeller performance. In particular, different techniques are grouped according to the three main families of numerical models that have been designed and exploited in the literature: Physical Models (i.e., models relying on the mechanistic knowledge of the phenomena), Data-Driven Models (i.e., models relying on historical data about the phenomena together with Artificial Intelligence), and Hybrid Models (i.e., a hybridisation between Physical and Data-Driven Models). A conclusion from the performed review, open problems, and future direction of this field of research is detailed at the end of the review.

Biofouling
Data-driven models
Hybrid models
Performance modelling
Physical models
Vessel hull and propeller status

http://resolver.tudelft.nl/uuid:a1b28793-360f-4e10-b3f5-d1592268f1d2

https://doi.org/10.1016/j.oceaneng.2022.110883

0029-8018

Ocean Engineering, 251

Institutional Repository

review

© 2022 Iliya Valchev, A. Coraddu, Miltiadis Kalikatzarakis, R.D. Geertsma, Luca Oneto