Ha-Yun Kim, Myung-Il Roh, Do-Hyuk Ahn, In-Chang Yeo, Seong-Won Choi, "A Method for the Virtual Modeling and Performance Prediction of a Ship to Replace Sea Trials", Proceedings of ICCAS 2026, Singapore, 2026.09.14-16
| Abstract | Ship performance evaluation is an essential procedure for verifying compliance with shipowner requirements and enhancing operational safety and efficiency. However, conducting sea trials to evaluate the performance and verify compliance is often impractical for repeated verification. This is primarily due to substantial costs, time constraints, and environmental limitations that often hinder consistent data collection. To address these challenges, this study proposed a method for virtual modeling and performance prediction of a ship to replace sea trials. To achieve this, a virtual ship was modeled by emulating its major elements (e.g., power and propulsion systems, control system, and sensor system) in detail. Furthermore, a virtual marine environment was modeled by replicating the characteristics of a real marine environment. During this process, the virtual ship and marine environment incorporated environmental loads induced by various sea conditions, such as wind, waves, and currents. In particular, these environmental loads were accurately reflected by utilizing actual oceanic environmental data to ensure the reliability of the modeling method. This method allowed the virtual ship to replicate the complex physical responses of a ship under the sea condition. Subsequently, the performance of the virtual ship, including resistance, FOC (Fuel Oil Consumption), and maneuvering performance, was predicted in accordance with ISO 15016, the international guidelines for speed and power performance analysis of ship based on sea trial data. To validate the proposed method, ship performance was predicted for a ship operating along a specific path under various sea conditions, and the resulting variations in ship performance were analyzed. The results confirmed that the proposed method effectively predicts ship performance. Also, it is possible to significantly reduce reliance on costly sea trials by adopting this method. Simultaneously, it provides a reliable and scalable means of evaluating ship performance in a virtual marine environment. |
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| Publication Date | 2026-09-14 |
