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Publications
Karatug, C., Tadros, M., Ventura, M. and Guedes Soares, C. (2024), Decision support system for ship energy efficiency management based on an optimization model, Energy, Vol. 292, 130318
This paper proposes a novel decision support system to control and enhance ship energy efficiency levels by combining an engine optimization model and an intelligent artificial neural network (ANN) model. Within the scope of the proposed methodology, real data regarding the ship and engine performance is obtained along a specific ship trip. Based on this information, an engine model is built and implemented into a developed engine optimization tool combining the 1D engine model and nonlinear optimizer. This model is validated by actual data with high accuracy. After achieving a realistic simulation, parameters associated with the ship features are derived. Then, the fuel consumption of the ship is estimated through the ANN model based on several derived input parameters. For the analysis, different ANN model configurations are created. Then, prediction processes are evaluated by error metrics to determine their success. The presented strategy may be adopted by maritime companies and provide an effective application to control a ship's fuel consumption and increase its energy efficiency. Besides, it contributes to dealing with the issue of the scarcity of analyzable data in the maritime literature.
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