The 12th International Conference on Hydrodynamics
18 – 23 september 2016, Egmond aan Zee, The Netherlands
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Go-down ichd2016 Tracking Number 114

Session: Ship hydromechanics resistance IV
Room: Room 1
Session start: 10:30 Tue 20 Sep 2016

Jingpu Chen
Affifliation: Shanghai Branch, China Ship Scientific Research Centre

Jia Su
Affifliation: Shanghai Branch, China Ship Scientific Research Centre

Wujie Jiang
Affifliation: Shanghai Branch, China Ship Scientific Research Centre

Li Yang
Affifliation: Shanghai Branch, China Ship Scientific Research Center

Topics: - Ship hydrodynamics resistance, propulsion, powering, seakeeping, manoeuvrability, slamming, sloshing, impact, green water


Recently, International Maritime Organization put forward various new regulations related to air pollution and ship safety, and the Energy Efficiency Design Index(EEDI) inspires shipyards and ship owners to install Energy Saving Devices(ESDs) for the control of CO2 emission from ships and fuel consumption. From the scope of hydrodynamics, lines optimization, high-efficiency propellers and ESDS are widely adopted to reduce the fuel consumption of ships. The optimization and prediction of ESDs are very important topics related to hydrodynamics. The design and validation of ESDs can be carried out by model tests, while this method will be time costly and expensive, the design method based on CFD predictions is the best choice. XCHAP module which is a steady state solver using structured, overlapping grids, is adopted in this paper. The EASM turbulence model was used and no-slip conditions were applied on the hull surface. At first, the CFD predictions should be verified and validated carefully for the reliable design of ESDs. In this paper, CFD predictions on the Benchmark test of the JAPAN Bulk Carrier (JBC) with and without an energy saving device (ESD) are performed. The comparison of CFD predictions results of the resistance, self-propulsion with that of model tests, shows that the present method could predict the delivered power tendency of ESD. Then this method is used for the design and optimization the ESD of an oil tanker. In order to obtain the best ESD, about five parameters are selected based on SOBOL algorithm, series CFD predictions are performed to assess delivered power of different variants. The best ESD with 2.95% reduction of delivered power are obtained for the oil tanker. The model tests of resistance and self-propulsion were conducted for the validation the effects of ESD, the results shows that about 3.45% delivered power reduction from model test. The comparison of experimental and computed wake field at propeller plane shows that good agreement.