Energy management strategy of a green port serving emission-free ferries considering EV parking lot availability

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Energy_Management_Strategy(1.63 MB)
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Date
2023-12-20
Authors
Ozdemir, Hilal
Güldorum, Hilmi Cihan
Erenoğlu, Ayşe Kübra
Sengor, Ibrahim
Hayes, Barry P.
Erdinç, Ozan
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Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
While the role of transportation is indispensable in daily life, the transportation sector is one of the major contributors to greenhouse gas (GHG) emissions. With the utilization of green vehicles in transportation systems and the adoption of renewable energy sources in power systems, it becomes possible to achieve an environmentally friendly transportation system. In this paper, an energy management algorithm for a port power system is presented, including a solar-based local power production unit serving hybrid ferries having fuel cell/battery, as well as an electric vehicle (EV) parking lot, allowing for bi-directional power flow between the port and the grid. The proposed concept enables dual integrated green transportation with the possibility of parking EVs to the lot and then continuing to journey via another green transportation option. The stochasticity regarding the photovoltaic plant (PVP) and EV behaviors are taken into consideration under a real-time rolling horizon optimization framework. Minimizing the operational cost of the port related to the energy consumption is the objective function in this novel transportation-to-transportation integration concept. Numerous case studies have been developed and tested to demonstrate the effectiveness of the suggested algorithm.
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Keywords
Energy management , Green ports , Fuel cell/battery hybrid system , Parking lot management system , Real-time optimization , Rolling optimization , Zero emission ferries
Citation
Ozdemir, H., Güldorum, H. C., Erenoğlu, A. K., Sengor, I., Hayes, B. P. and Erdinç, O. (2023) 'Energy management strategy of a green port serving emission-free ferries considering EV parking lot availability', IEEE Transactions on Intelligent Transportation Systems. doi: https://doi.org/10.1109/TITS.2023.3340125
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