船舶海试性能预测全尺寸CFD仿真验证研究

K. Korkmaz, Keun-Cheol Kim, Mattias Liefvendahl, Sofia Werner, M. Orych
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摘要

航运业是全球贸易的重要组成部分,但也占全球温室气体排放的很大一部分。认识到这一问题,国际海事组织(IMO)实施了新的措施,旨在确定所有船舶的能源效率并促进持续改进,例如现有船舶能源效率指数(EEXI)。由于计算流体动力学(CFD)可用于计算EEXI值,RISE-SSPA和Flowtech利用SHIPFLOW v7.0开发了一种基于CFD的全尺寸船舶性能预测方法,以满足IMO的新要求。通过对14艘不同尺寸和类型的普通货船进行全面的CFD预测和高质量的海上试验,验证了该方法的有效性。CFD预测结果与59次海上试验结果的比较表明,输出功率和RPM的预测精度都令人满意,平均比较误差分别为4%和2%。本研究中使用的数值方法与大多数最先进的CFD代码有很大不同,突出了它们在未来船舶性能预测中的应用潜力。通过大量海上试验进行彻底验证对于建立对基于cfd的船舶性能预测方法的信心至关重要,这对于EEXI框架的可信度及其对航运脱碳的潜力至关重要。基于cfd的全尺寸性能预测程序的开发
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A Validation Study of Full-Scale CFD Simulation for Sea Trial Performance Prediction of Ships
Shipping is a critical component of global trade but also accounts for a substantial portion of global greenhouse gas emissions. Recognising this issue, the International Maritime Organisation (IMO) has implemented new measures aimed at determining the energy efficiency of all ships and promoting continuous improvements, such as the Energy Efficiency Existing Ship Index (EEXI). As Computational Fluid Dynamics (CFD) can be used to calculate the EEXI value, RISE-SSPA and Flowtech have developed a CFD-based method for predicting full-scale ship performance with SHIPFLOW v7.0, which meets the new requirements of IMO. The method is validated through an extensive comparison study that examines the delivered power and propeller rotation rate between full-scale CFD predictions and high-quality sea trials using 14 common cargo ships of varying sizes and types. The comparison between the CFD predictions and 59 sea trials shows that both delivered power and RPM can be predicted with satisfactory accuracy, with an average comparison error of about 4% and 2%, respectively. The numerical methods used in this study differ significantly from the majority of the state-of-the-art CFD codes, highlighting their potential for future applications in ship performance prediction. Thorough validation with a large number of sea trials is essential to establish confidence in CFD-based ship performance prediction methods, which is crucial for the credibility of the EEXI framework and its potential to contribute to shipping decarbonisation. Development Of a CFD-based Full Scale Performance Prediction Procedure
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