Abstract
Internal combustion engine vehicles, although conventionally playing essential roles in seaport logistic operation, are major sources of carbon emissions. To guarantee the “green and sustainable future” for seaports, extensive electrification and zero-carbon fuel integration (such as hydrogen) are irreversible trends bringing the co-existence of electric vehicles (EVs) and fuel cell vehicles (FCVs) within seaport areas. The corresponding energy charging/refueling requirements tightly couple the conventional vehicle scheduling with the energy management of seaport areas and make the seaport area a complex energy-transport nexus. Based on this emerging operational characteristic of seaport areas, a comprehensive review of the energy-transport scheduling for green vehicles is summarized to show the current state of the art. The logistic phenomenon of an internal area of a seaport is mathematically modeled by coupling the energy and transport sub-models. Then, the formulated model is analytically reviewed according to different possible solution approaches, i.e., exact, heuristic, and machine learning approaches. The machine learning method is highly recommended for seaport energy-transport problems due to superior performance in simulation accuracy, convergence behavior, and computational efficiency. Future research directions are discussed regarding the seaport energy-transport scheduling models.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
