Ship Trim Optimization: Assessment of Influence of Trim on Resistance of MOERI Container Ship

Environmental issues and rising fuel prices necessitate better energy efficiency in all sectors. Shipping industry is a stakeholder in environmental issues. Shipping industry is responsible for approximately 3% of global CO2 emissions, 14-15% of global NOX emissions, and 16% of global SOX emissions....

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Main Authors: Salma Sherbaz, Wenyang Duan
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/603695
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spelling doaj-9d940dbade4844498e186000a6cf1cc72020-11-25T00:49:44ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/603695603695Ship Trim Optimization: Assessment of Influence of Trim on Resistance of MOERI Container ShipSalma Sherbaz0Wenyang Duan1College of Shipbuilding Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, ChinaCollege of Shipbuilding Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, ChinaEnvironmental issues and rising fuel prices necessitate better energy efficiency in all sectors. Shipping industry is a stakeholder in environmental issues. Shipping industry is responsible for approximately 3% of global CO2 emissions, 14-15% of global NOX emissions, and 16% of global SOX emissions. Ship trim optimization has gained enormous momentum in recent years being an effective operational measure for better energy efficiency to reduce emissions. Ship trim optimization analysis has traditionally been done through tow-tank testing for a specific hullform. Computational techniques are increasingly popular in ship hydrodynamics applications. The purpose of this study is to present MOERI container ship (KCS) hull trim optimization by employing computational methods. KCS hull total resistances and trim and sinkage computed values, in even keel condition, are compared with experimental values and found in reasonable agreement. The agreement validates that mesh, boundary conditions, and solution techniques are correct. The same mesh, boundary conditions, and solution techniques are used to obtain resistance values in different trim conditions at Fn = 0.2274. Based on attained results, optimum trim is suggested. This research serves as foundation for employing computational techniques for ship trim optimization.http://dx.doi.org/10.1155/2014/603695
collection DOAJ
language English
format Article
sources DOAJ
author Salma Sherbaz
Wenyang Duan
spellingShingle Salma Sherbaz
Wenyang Duan
Ship Trim Optimization: Assessment of Influence of Trim on Resistance of MOERI Container Ship
The Scientific World Journal
author_facet Salma Sherbaz
Wenyang Duan
author_sort Salma Sherbaz
title Ship Trim Optimization: Assessment of Influence of Trim on Resistance of MOERI Container Ship
title_short Ship Trim Optimization: Assessment of Influence of Trim on Resistance of MOERI Container Ship
title_full Ship Trim Optimization: Assessment of Influence of Trim on Resistance of MOERI Container Ship
title_fullStr Ship Trim Optimization: Assessment of Influence of Trim on Resistance of MOERI Container Ship
title_full_unstemmed Ship Trim Optimization: Assessment of Influence of Trim on Resistance of MOERI Container Ship
title_sort ship trim optimization: assessment of influence of trim on resistance of moeri container ship
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description Environmental issues and rising fuel prices necessitate better energy efficiency in all sectors. Shipping industry is a stakeholder in environmental issues. Shipping industry is responsible for approximately 3% of global CO2 emissions, 14-15% of global NOX emissions, and 16% of global SOX emissions. Ship trim optimization has gained enormous momentum in recent years being an effective operational measure for better energy efficiency to reduce emissions. Ship trim optimization analysis has traditionally been done through tow-tank testing for a specific hullform. Computational techniques are increasingly popular in ship hydrodynamics applications. The purpose of this study is to present MOERI container ship (KCS) hull trim optimization by employing computational methods. KCS hull total resistances and trim and sinkage computed values, in even keel condition, are compared with experimental values and found in reasonable agreement. The agreement validates that mesh, boundary conditions, and solution techniques are correct. The same mesh, boundary conditions, and solution techniques are used to obtain resistance values in different trim conditions at Fn = 0.2274. Based on attained results, optimum trim is suggested. This research serves as foundation for employing computational techniques for ship trim optimization.
url http://dx.doi.org/10.1155/2014/603695
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AT wenyangduan shiptrimoptimizationassessmentofinfluenceoftrimonresistanceofmoericontainership
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