Speaker
Description
Prediction of the performance of a ship under actual operating conditions is very difficult due to the complex effects originated by environmental disturbances. ISO15016 and ISO19030 standards are commonly used to evaluate operating performance. ISO15016 requires many variables, time and cost by a complex calculation formula, and ISO19030 only evaluates the ship speed drop due to the wind excluding the effect of waves. This study is aimed at proposing a novel framework to predict the ship performance based on actual operational data. When external forces such as relative wind speed and wave height increase(fluctuation) during actual operation, the speed of ground (SOG) fluctuates as the wind resistance and wave resistance increase accordingly. And there is a frequency characteristic (time-lag) due to a time constant according to the size and type of the target vessel. The dynamic model of this study is to obtain power fluctuations in which the influence of environmental variables (external forces) is removed by modelling the Linear Multi-Input /Single-Output (MISO) system for unknown frequency characteristics and determining the optimal Linear Transfer Function. The input data of the MISO model was selected by evaluating the correlation of each variable in the operation data, and the effect of each input variable on the speed loss was evaluated. And other factors affecting SOG were assumed to be noise(N), which are expected to be aging and fouling. Noise is expected to have a constant value within the same voyage, and N-components for a specific period were plotted and compared with ISO19030's Performance Value (PV)s.
References
Cho, Y., Jeon, K. H., Lee, S. B., Park, H. and Lee, I., 2021, Evaluation of In-service Speed Performance Improvement by means of FDR-AF (Frictional Drag Reducing Anti-Fouling) marine coating based on ISO19030 standard, Scientific Reports, vol. 11, article no. 1062
Keywords | Energy efficient ship, frictional drag reduction (FDR), antifouling (AF) coating, in-service performance analysis |
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