In this paper, full-scale data for two ships have been used for the comparison of five different added resistance methods. The effect of using separate wave spectra for wind waves and swell on performance prediction has been explored. The importance of the peak enhancement factor(γ) in the JONSWAP spectrum for added resistance computation has been studied. Simulation model including calm water resistance, added resistance and wind resistance has been used. Ships have been simulated in the same weather conditions and propeller speed as in the case of full-scale ships using different methods for added resistance. The performance of these methods has been quantified by comparing speed and power predictions with the full-scale data. The paper also discusses the challenges involved in using full-scale data for such a comparison because of difficulty in isolating the effect of added resistance in full-scale data.

It was observed that three out of five methods were able to predict added resistance even in high waveheights. Even though these methods showed significantly different RAOs, its effect on speed and power prediction was minor. Simulation results were not sensitive to the choice of peak enhancement factor(γ) in the JONSWAP spectrum. There was minor improvement in results by using separate wave spectra for wind waves and swell instead of single wave spectrum for combined wind waves and swell.

在本文中，使用了两艘船的满量程数据来比较五种不同的附加阻力方法。研究了使用单独的波谱用于风浪和膨胀对性能预测的影响。研究了JONSWAP频谱中峰值增强因子（γ）对于附加电阻计算的重要性。使用了包括静水阻力，附加阻力和抗风性的仿真模型。在模拟天气条件和推进器速度的情况下，与使用不同方法增加阻力的全尺寸船舶一样，对船舶进行了模拟。通过将速度和功率预测与满量程数据进行比较，可以量化这些方法的性能。

据观察，即使在高波高下，五分之三的方法也能够预测增加的阻力。尽管这些方法显示出非常不同的RAO，但其对速度和功率预测的影响很小。模拟结果对JONSWAP谱中峰增强因子（γ）的选择不敏感。通过对风波和鼓浪使用单独的波谱而不是对组合风波和鼓浪使用单波谱，结果得到了较小的改进。