A Bayesian Belief Network Model for Integrated Energy Efficiency of Shipping

An application of BBNs on the integrated energy efficiency of ship–port interface: a dry bulk shipping case

“…The BBNs provides this opportunity to understand interactions of very complex systems in a probabilistic manner (Neil, Littlewood, and Fenton, 1996;Yuqing andTong, 2008, Sutrisnowati, Bae, andPark 2014). The ship-port interface model with BBNs regarding the energy efficiency interactions demonstrates interoperability by utilising interdependency of ship and port operations (Canbulat, et al 2018). This model will also provide an integration between port and ship operations by considering various parameters including weather conditions, ship characteristics, primary engine efficiency and ship speed planning and port efficiency.…”

“…As a result of the literature review, it is seen that the availability of holistic energy efficiency applications is considerably limited within maritime transport, combining influences of port performance with ship operation performance (Armstrong and Banks 2015;Johnson and Styhre 2015;Moon and Woo, 2014). The IEE management between port and fleet necessitates comprehensive systematic examination (Canbulat, et al 2018).…”

Energy Efficiency Evaluation and Forecasting of the Sussex Ports to Address Climate Change Concerns: a Data-driven Decision Model

“…In another study, Besikci et al (2016) mentioned that ships' time on anchorage would not be in favour of both ship or port operators and it could be possible to save energy by around 10% in a container ship by reducing the ship's speed and arriving to port just in time. Canbulat et al (2018) and Canbulat et al (2019) attempted to create a ship-port energy efficiency interface aiming to minimize carbon emissions and energy consumption via just-in-time arrival and collected historical data. Their studies showed the possibility of a significant amount of energy savings through the reduction of port congestion.…”