Effect of trim on container ship resistance at different ship speeds and drafts

被引:65
作者
Islam, Hafizul [1 ]
Soares, Carlos Guedes [1 ]
机构
[1] Univ Lisbon, Inst Super Tecn, Ctr Marine Technol & Ocean Engn CENTEC, Av Rovisco Pais, P-1049001 Lisbon, Portugal
关键词
Trim optimization; KCS; RaNS; Ship draft; Ship speed; Trim angle effect; FUEL CONSUMPTION; OPTIMIZATION;
D O I
10.1016/j.oceaneng.2019.03.058
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The resistance of a container ship at three different Froude numbers and drafts is predicted using RaNS simulations, demonstrating that the optimum trim angle varies with ship speed and draft. First, the zero trim condition results were validated with experimental data, and later trim optimization was performed. It is concluded that optimum trim condition for container ships vary with forward speed and draft condition, and the variation does not appear to follow any particular trend. Trim optimization at different speeds and drafts can be a convenient and effective way for vessels to improve efficiency, reduce fuel consumption and limit harmful emissions. Operational optimization, including trim, is the most practical way of improvement of efficient and environmental friendliness for existing vessels and in that way complement the choices during design, so as to fulfil environmental concerns and related regulations.
引用
收藏
页码:106 / 115
页数:10
相关论文
共 33 条
[1]   Performance Decay Analysis of a Marine Gas Turbine Propulsion System [J].
Altosole, Marco ;
Campora, Ugo ;
Martelli, Michele ;
Figari, Massimo .
JOURNAL OF SHIP RESEARCH, 2014, 58 (03) :117-129
[2]  
[Anonymous], 2002, GOTH 2000 WORKSH NUM
[3]  
Bertram V., 2010, P 1 INT S FISH VESS
[4]   Procedure for estimation and reporting of uncertainty due to discretization in CFD applications [J].
Celik, Ishmail B. ;
Ghia, Urmila ;
Roache, Patrick J. ;
Freitas, Christopher J. .
JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME, 2008, 130 (07) :0780011-0780014
[5]   Vessels fuel consumption forecast and trim optimisation: A data analytics perspective [J].
Coraddu, Andrea ;
Oneto, Luca ;
Baldi, Francesco ;
Anguita, Davide .
OCEAN ENGINEERING, 2017, 130 :351-370
[6]   The effect of trimming and sinkage on the trimaran resistance calculation [J].
Deng, Rui ;
Li, Chao ;
Huang, Debo ;
Zhou, Guangli .
FRONTIERS IN FLUID MECHANICS RESEARCH, 2015, 126 :327-331
[7]  
Drikakis D, 2007, IMPLICIT LARGE EDDY SIMULATION: COMPUTING TURBULENT FLUID DYNAMICS, P94, DOI 10.1017/CBO9780511618604.006
[8]   Hydrodynamics prediction of a ship in static and dynamic states [J].
Du, P. ;
Ouahsine, A. ;
Sergent, P. .
COUPLED SYSTEMS MECHANICS, 2018, 7 (02) :163-176
[9]  
Du P., 2017, 7 INT C COMP METH EN
[10]  
El-Moctar B., 2010, P GOTH 2010 WORKSH