Penalty of hull and propeller fouling on ship self-propulsion performance

Research output: Contribution to journalArticle

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 green-house 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 full-scale ship self-propulsion model was developed to predict the effect of biofouling on the self-propulsion characteristics of the full-scale KRISO container ship (KCS). A roughness function model was employed in the wall-function of the CFD model to represent the barnacles on the hull, rudder and propeller surfaces. A proportional-integral (PI) controller was embedded in the simulation model to find the self-propulsion point. Simulations were conducted in various configurations of the hull and/or propeller fouling. Finally, the effect of biofouling on the self-propulsion characteristics have been investigated.
LanguageEnglish
Article number102006
Number of pages24
JournalApplied Ocean Research
Volume94
Early online date28 Nov 2019
DOIs
Publication statusE-pub ahead of print - 28 Nov 2019

Fingerprint

Biofouling
Propellers
Fouling
Propulsion
Ships
Computational fluid dynamics
Wall function
Gas emissions
Greenhouse gases
Fuel consumption
Containers
Drag
Dynamic models
Surface roughness
Controllers

Keywords

  • biofoulilng
  • ship self-propulsion
  • KRISO container ship (KCS)
  • computational fluid dynamics
  • ship resistance

Cite this

@article{05cbf6d88ea647c6b6c040264003e9fc,
title = "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 green-house 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 full-scale ship self-propulsion model was developed to predict the effect of biofouling on the self-propulsion characteristics of the full-scale KRISO container ship (KCS). A roughness function model was employed in the wall-function of the CFD model to represent the barnacles on the hull, rudder and propeller surfaces. A proportional-integral (PI) controller was embedded in the simulation model to find the self-propulsion point. Simulations were conducted in various configurations of the hull and/or propeller fouling. Finally, the effect of biofouling on the self-propulsion characteristics have been investigated.",
keywords = "biofoulilng, ship self-propulsion, KRISO container ship (KCS), computational fluid dynamics, ship resistance",
author = "Soonseok Song and Demirel, {Yigit Kemal} and Mehmet Atlar",
year = "2019",
month = "11",
day = "28",
doi = "10.1016/j.apor.2019.102006",
language = "English",
volume = "94",
journal = "Applied Ocean Research",
issn = "0141-1187",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - Penalty of hull and propeller fouling on ship self-propulsion performance

AU - Song, Soonseok

AU - Demirel, Yigit Kemal

AU - Atlar, Mehmet

PY - 2019/11/28

Y1 - 2019/11/28

N2 - 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 green-house 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 full-scale ship self-propulsion model was developed to predict the effect of biofouling on the self-propulsion characteristics of the full-scale KRISO container ship (KCS). A roughness function model was employed in the wall-function of the CFD model to represent the barnacles on the hull, rudder and propeller surfaces. A proportional-integral (PI) controller was embedded in the simulation model to find the self-propulsion point. Simulations were conducted in various configurations of the hull and/or propeller fouling. Finally, the effect of biofouling on the self-propulsion characteristics have been investigated.

AB - 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 green-house 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 full-scale ship self-propulsion model was developed to predict the effect of biofouling on the self-propulsion characteristics of the full-scale KRISO container ship (KCS). A roughness function model was employed in the wall-function of the CFD model to represent the barnacles on the hull, rudder and propeller surfaces. A proportional-integral (PI) controller was embedded in the simulation model to find the self-propulsion point. Simulations were conducted in various configurations of the hull and/or propeller fouling. Finally, the effect of biofouling on the self-propulsion characteristics have been investigated.

KW - biofoulilng

KW - ship self-propulsion

KW - KRISO container ship (KCS)

KW - computational fluid dynamics

KW - ship resistance

U2 - 10.1016/j.apor.2019.102006

DO - 10.1016/j.apor.2019.102006

M3 - Article

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JO - Applied Ocean Research

T2 - Applied Ocean Research

JF - Applied Ocean Research

SN - 0141-1187

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