2020
DOI: 10.1016/j.apor.2019.102006
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Penalty of hull and propeller fouling on ship self-propulsion performance

Abstract: Recently, there has been an increasing interest in predicting the effect of biofouling on ship resistance using Computational Fluid Dynamics (CFD). For a better understanding of the impact of biofouling on the fuel consumption and greenhouse gas emissions of ships, studying the effect of biofouling on ship self-propulsion characteristics is required. In this study, an Unsteady Reynolds Averaged Navier-Stokes (URANS) based fullscale ship self-propulsion model was developed to predict the effect of biofouling on… Show more

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Cited by 66 publications
(28 citation statements)
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References 33 publications
(60 reference statements)
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“…Recently, there have been studies using Computational Fluid Dynamics (CFD) to investigate the roughness effect on ship resistance (e.g. Demirel et al, 2014;Demirel et al, 2017b;Farkas et al, 2018;Song et al, 2019a) and propeller performance (Owen et al, 2018;Song et al, 2019b), as well as ship self-propulsion characteristics (Song et al, 2020). The merit of using CFD is that the distribution of the local friction velocity, , can be dynamically computed for each discretised cell, and therefore the dynamically varying roughness Reynolds number, + , and corresponding roughness function, + , can be considered in the computation.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, there have been studies using Computational Fluid Dynamics (CFD) to investigate the roughness effect on ship resistance (e.g. Demirel et al, 2014;Demirel et al, 2017b;Farkas et al, 2018;Song et al, 2019a) and propeller performance (Owen et al, 2018;Song et al, 2019b), as well as ship self-propulsion characteristics (Song et al, 2020). The merit of using CFD is that the distribution of the local friction velocity, , can be dynamically computed for each discretised cell, and therefore the dynamically varying roughness Reynolds number, + , and corresponding roughness function, + , can be considered in the computation.…”
Section: Introductionmentioning
confidence: 99%
“…The adverse effects of biofouling on ship performance have been reported from the earliest times [1]. Accordingly, a large number of studies have been devoted to the roughness effect on ship resistance [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. According to the literature, the impact of calcareous (hard shell) fouling is particularly critical and highly dependent on the fouling type and coverage [2,3,9,10].…”
Section: Introductionmentioning
confidence: 99%
“…More recently, there have been studies utilising 3D printed artificial calcareous fouling models, e.g. barnacles, oysters or tubeworms [14,[17][18][19][20][21]. They observed significant increases in skin friction according to the sizes and coverage densities of the artificial fouling models.…”
Section: Introductionmentioning
confidence: 99%
“…Within this context, the hydrodynamic roughness characteristics on the surface (i.e. skin friction and hence roughness function) are the only meaningful and practical input to these methods, that can be obtained from the tests with the flowcell facilities as described in this paper, to simulate the effect of different coatings and biofouling on the full-scale performance of ships (eg Demirel 2015; Song et al 2019;2020).…”
Section: Discussionmentioning
confidence: 99%