A Bayesian belief network model for integrated energy efficiency of shipping

Onder Canbulat, Murat Aymelek, Osman Turan, Evangelos Boulougouris

Research output: Contribution to conferencePaperpeer-review


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.
Original languageEnglish
Publication statusPublished - 24 Jan 2017
EventInternational Conference on Maritime Energy Management - World Maritime University, Malmo, Sweden
Duration: 24 Jan 201725 Jan 2017


ConferenceInternational Conference on Maritime Energy Management


  • integrated shipping system
  • ship-port interface
  • BBN
  • Bayesian network model
  • energy efficiency
  • shipping


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  • A Bayesian belief network model for integrated energy efficiency of shipping

    Canbulat, O., Aymelek, M., Turan, O. & Boulougouris, E., 5 Jun 2018, Trends and Challenges in Maritime Energy Management. Olcer, A., Kitada, M., Dalaklis, D. & Ballini, F. (eds.). Cham, Switzerland, p. 257-273 17 p. (WMU Studies in Maritime Affairs; vol. 6).

    Research output: Chapter in Book/Report/Conference proceedingChapter

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