Abstract
The traditional method used to estimate the hydrodynamic performance of a ship uses either the model test results or one of the many empirical methods to estimate and observe the trend in fouling friction coefficient (ΔCF) over time. The biggest weakness of this method is that the model test results as well as the empirical methods used here is sometimes not well-fitted for the full-scale ship due to several reasons like scale effects and, therefore, this method may result in an inaccurate performance prediction. Moreover, in the case of a novel ship design, it would be nearly impossible to find a well-fitting empirical method. The current work establishes a new performance indicator, formulated in the form of generalized admiralty coefficient with displacement and speed exponents statistically estimated using the in-service data recorded onboard the ship itself. The current method completely removes the dependence on empirical methods or model test results for the performance prediction of ships. It is observed here that the performance predictions using the current method and the traditional method are based on the same underlying logic as well as the results obtained from both the methods are found to be in good agreement.
Highlights
The in-service data recorded onboard a ship can be significantly instrumental in accurately estimating the operational performance of the ship but it comes with an inherent problem
The biggest weakness of this method is that the model test results as well as the empirical methods used here is sometimes not well-fitted for the full-scale ship due to several reasons like scale effects and, this method may result in an inaccurate performance prediction
Using the operational data recorded onboard a ship it is possible to regenerate this curve for a range of displacements, resulting in a speed-power-displacement surface which can, be used to monitor the performance of the ship, as we aim to demonstrate in this paper
Summary
The in-service data recorded onboard a ship can be significantly instrumental in accurately estimating the operational performance of the ship but it comes with an inherent problem. In a simple attempt to monitor the operational performance of a ship, Walker and Atkins (2007), proposed observing the increase in power demand of the ship at a fixed speed and displacement (or loading con dition). This kind of practice is quite feasible for defence ships but is rather impractical for merchant ships due to, for instance, variation in displacement between individual runs. Using the operational data recorded onboard a ship it is possible to regenerate this curve for a range of displacements, resulting in a speed-power-displacement surface which can, be used to monitor the performance of the ship, as we aim to demonstrate in this paper
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