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

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creativework.keywordsBiofouling, Data-driven models, Hybrid models, Performance modelling, Physical models, Vessel hull and propeller status
creativework.publisherElsevier Ltden
dc.contributor.authorValchev I.
dc.contributor.authorCoraddu A.
dc.contributor.authorKalikatzarakis M.
dc.contributor.authorGeertsma R.
dc.contributor.authorOneto L.
dc.date.accessioned2024-07-10T14:27:05Z
dc.date.accessioned2024-07-10T14:50:07Z
dc.date.available2024-07-10T14:27:05Z
dc.date.available2024-07-10T14:50:07Z
dc.date.issued2022-05-01
dc.description.abstractMonitoring 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.
dc.identifier.doi10.1016/j.oceaneng.2022.110883
dc.identifier.issn0029-8018
dc.identifier.scopusSCOPUS_ID:85127024518en
dc.identifier.urihttps://rlib.uctm.edu/handle/123456789/706
dc.language.isoen
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127024518&origin=inward
dc.titleNumerical methods for monitoring and evaluating the biofouling state and effects on vessels’ hull and propeller performance: A review
dc.typeReview
oaire.citation.volume251
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