Myung Il Roh
Seoul National University · 工学
研究室紹介
Professor Myung Il Roh's research lab specializes in maritime system optimization and intelligent ship operations, focusing on energy efficiency, route planning, and safety in marine transportation. The lab develops advanced computational methods—such as deep learning, dynamic simulation, and risk assessment models—to predict fuel consumption, optimize ship routing under varying ocean conditions, and enhance collision avoidance systems. Research also extends to offshore renewable energy infrastructure, particularly the safe installation of offshore wind turbines using floating cranes. The lab integrates data-driven and simulation-based approaches to support sustainable and safe shipping operations.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15With increases in international oil prices, the proportion of fuel cost to the operational costs of a ship is currently increasing. To reduce fuel cost, a method for determining an economical route for a ship based on the acquisition of the sea state and the estimation of fuel consumption is proposed. The proposed method consists of three items. The first item is to acquire the sea state information in real time. The second item is to estimate the fuel consumption of a ship according to the sea
To prevent pollution from ships, the Energy Efficiency Design Index (EEDI) is a mandatory guideline for all new ships. The Ship Energy Efficiency Management Plan (SEEMP) has also been applied by MARPOL to all existing ships. SEEMP provides the Energy Efficiency Operational Indicator (EEOI) for monitoring the operational efficiency of a ship. By monitoring the EEOI, the shipowner or operator can establish strategic plans, such as routing, hull cleaning, decommissioning, new building, etc. The key
The path planning of a ship requires much information, and one of the essential factors is predicting the ocean environment. Ocean weather can generally be gathered from forecasting information provided by weather centers. However, these data are difficult to obtain when satellite communication is unstable during voyages, or there are cases where forecast data for a more extended period of time are needed for the operation of the fleet. Therefore, shipping companies and classification societies
Fuel oil consumption (FOC) must be minimized to determine the economic route of a ship; hence, the ship power must be predicted prior to route planning. For this purpose, a numerical method using test results of a model has been widely used. However, predicting ship power using this method is challenging owing to the uncertainty of the model test. An onboard test should be conducted to solve this problem; however, it requires considerable resources and time. Therefore, in this study, a deep feed