Predicting the effect of hull roughness on ship resistance using a fully turbulent flow channel and CFD

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Ravenna, Roberto and Ingham, Ryan and Song, Soonseok and Johnston, Clifton and De Marco Muscat-Fenech, Claire and Tezdogan, Tahsin and Atlar, Mehmet and Demirel, Yigit Kemal; (2022) Predicting the effect of hull roughness on ship resistance using a fully turbulent flow channel and CFD. In: 4th International Meeting Proceedings. Istanbul Technical University, Istanbul, pp. 109-118. (https://www.ayocol.itu.edu.tr/files/AYOCOL2018_Pro...)

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Abstract

The effects of poor hull surface conditions on fuel consumption and emissions are well-known yet not thoroughly understood. Therefore, the present study investigates the effect of widely adopted fouling control coatings and mimicked biofouling on a full-scale representative ship, the KRISO Containership (KCS). Different surfaces were tested in the Fully turbulent Flow Channel (FTFC) of the University of Strathclyde (including a novel hard foul-release coating, commonly used antifouling, barrier resin, soft foul-release coatings, and sandpaper-like surfaces). Then, the corresponding roughness functions developed for the test surfaces were embedded in Computational Fluid Dynamics (CFD) simulations using the modified wall function approach. Interestingly, the numerical predictions on the KCS hull showed that the novel hard foul-release coating tested had better hydrodynamic performance than the smooth case (maximum 3.6% decrease in the effective power requirements). Eventually, the present study confirmed the practicality of the FTFC used in combination with CFD-based studies to predict the effects of hull roughness on ship resistance and powering.

ORCID iDs

Ravenna, Roberto, Ingham, Ryan, Song, Soonseok, Johnston, Clifton, De Marco Muscat-Fenech, Claire, Tezdogan, Tahsin ORCID logoORCID: https://orcid.org/0000-0002-7032-3038, Atlar, Mehmet and Demirel, Yigit Kemal;
CORE (COnnecting REpositories)