A Bayesian belief network model for integrated energy efficiency of shipping

Canbulat, Onder and Aymelek, Murat and Turan, Osman and Boulougouris, Evangelos; Olcer, Aykut and Kitada, Momoko and Dalaklis, Dimitrios and Ballini, Fabio, eds. (2018) A Bayesian belief network model for integrated energy efficiency of shipping. In: Trends and Challenges in Maritime Energy Management. WMU Studies in Maritime Affairs . Springer Publishing, Cham, Switzerland, pp. 257-273. ISBN 978-3-319-74575-6 (https://doi.org/10.1007/978-3-319-74576-3_19)

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Climate change is one of the major problems in today’s world and shipping has a direct influence on climate change by the amount of energy consumed and volume of emission generated during shipping and port operations. Energy efficiency and port operation relationship have been widely mentioned in the existing literature under the term of energy efficiency management. However, there is still a need for detailed research on the ship-port interface development regarding holistic energy efficiency. The complex logistic processes should comprise with port performance to avoid the inevitable delays and to obtain a more energy efficient transport system. Therefore, ports and fleet can be managed together within a conceptual communication framework. The primary purpose of this research is to enhance the scientific understanding of port and ship operation inter-operability based on energy efficiency interactions. A theoretical framework is developed to investigate how ports and ships could work together to reduce energy consumption and CO2 emissions. The integrated shipping system is analysed to create a unique Bayesian Belief Network (BBN) model aiming to support the operational optimisation of the ship and port interface. In this research, the BBN theory is applied to an oil tanker case study in order to examine the energy efficiency of the voyages between two ports. The study aims to provide a guide to the holistic energy efficiency of the oil/product tanker shipping operations.