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Performance prediction method for fouled surfaces
Applied Ocean Research ( IF 4.3 ) Pub Date : 2020-06-01 , DOI: 10.1016/j.apor.2020.102151
Andrea Farkas , Nastia Degiuli , Ivana Martić , Ivica Ančić

Abstract Increase in ship energy efficiency is one of the main goals set by the International Maritime Organization (IMO). In this sense the IMO identified the significance of the control and management of the hull fouling. The weed or grass stage is often seen as the beginning stage of the ship hull fouling, while the effects of soft fouling on the ship resistance and propulsion characteristics as well as on the fuel oil consumption are mistakenly underestimated. A new method for the assessment of the effect of fouling on the ship resistance and propulsion characteristics is proposed. The applicability of the proposed method is shown by comparison of the obtained resistance and propulsion characteristics using this method and Computational Fluid Dynamics (CFD) approach. Within this paper the effect of soft fouling on the ship energy efficiency is evaluated. Utilizing the proposed method, the increase in the fuel oil consumption and the CO2 emission is determined for handymax bulk carrier on the route Halifax-Rotterdam for certain surface conditions. The potential benefits of the hull and the propeller cleaning are highlighted from both an economic and environmental point of view. On the observed route the potential savings in the fuel oil costs could be up to 38,000 $, while reducing the CO2 emission up to 327 t.

中文翻译:

污垢表面的性能预测方法

摘要 提高船舶能效是国际海事组织(IMO)设定的主要目标之一。在这个意义上,IMO 确定了船体污垢控制和管理的重要性。杂草阶段通常被视为船体污垢的开始阶段,而软污垢对船舶阻力和推进特性以及燃油消耗的影响被错误地低估了。提出了一种评估污垢对船舶阻力和推进特性影响的新方法。通过比较使用该方法和计算流体动力学 (CFD) 方法获得的阻力和推进特性,表明了所提出方法的适用性。本文评估了软污垢对船舶能效的影响。利用所提出的方法,确定了在某些表面条件下,Halifax-Rotterdam 航线上的灵便型散货船的燃油消耗量和 CO2 排放量的增加。从经济和环境的角度都强调了船体和螺旋桨清洁的潜在好处。在观察到的路线上,燃料油成本的潜在节省可能高达 38,000 美元,同时减少二氧化碳排放量高​​达 327 吨。从经济和环境的角度都强调了船体和螺旋桨清洁的潜在好处。在观察到的路线上,燃料油成本的潜在节省可能高达 38,000 美元,同时减少二氧化碳排放量高​​达 327 吨。从经济和环境的角度都强调了船体和螺旋桨清洁的潜在好处。在观察到的路线上,燃料油成本的潜在节省可能高达 38,000 美元,同时减少二氧化碳排放量高​​达 327 吨。
更新日期:2020-06-01
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