title: Ship trim optimization: assessment of influence of trim on resistance of MOERI container ship.
abstract: 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 NO(X) emissions, and 16% of global SO(X) 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.
authors.affiliation: College of Shipbuilding Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China.
authors.forename: Salma
authors.identifier: 0000-0001-5704-3405
authors.initials: S
authors.lastname: Sherbaz
authors.affiliation: College of Shipbuilding Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China.
authors.forename: Wenyang
authors.initials: W
authors.lastname: Duan
mesh_terms: D003198:Computer Simulation; D003246:Conservation of Energy Resources / Q000379:methods*; D017276:Friction; D057446:Hydrodynamics; D008962:Models, Theoretical; D012767:Ships / Q000295:instrumentation* / Q000379:methods*