A Bi-level Optimization Model for Solving the Berth and Quay Cranes allocation Problems in Port Terminal

Lassoued, Rokaya; Elloumi, Abdelkarim

doi:10.1109/dasa53625.2021.9682307

Cited by 2 publications

(3 citation statements)

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“…A logistics and energy collaborative optimization strategy is constructed based on the demand response, and the results validate that the proposed strategy is effective for coordinating multi-energy and logistics scheduling and minimizing port operation cost [28]. Lassoued and Elloumi [30,31] investigate two crucial problems in ports, which are the berth allocation problem and the quay crane assignment problem. The optimization objective is to minimize the total service time of berthed vessels.…”

Section: Introductionmentioning

confidence: 86%

“…The literature review indicates that many studies have been conducted on ports from multiple perspectives such as berth optimization [23,24,30,31], logistics scheduling [36,38], and energy supply [5,6]. However, there is still relatively little research on the collaborative optimization of logistics and energy systems.…”

Section: Literature Analysis and Motivationsmentioning

confidence: 99%

“…Equation (30) indicates that the hydrogen released from the hydrogen storage tank is supplied to the FC for power generation.…”

Section: Balance Modelmentioning

confidence: 99%

See 2 more Smart Citations

Energy–Logistics Cooperative Optimization for a Port-Integrated Energy System

Mo,

Zhang,

Xiong

et al. 2024

Mathematics

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In order to achieve carbon peak and neutrality goals, many low-carbon operations are implemented in ports. Integrated energy systems that consist of port electricity and cooling loads, wind and PV energy devices, energy storage, and clean fuels are considered as a future technology. In addition, ports are important hubs for the global economy and trade; logistics optimization is also part of their objective, and most port facilities have complex logistics. This article proposes an energy–logistics collaborative optimization method to fully tap the potential of port-integrated energy systems. A logistics–energy system model is established by deeply examining the operational characteristics of logistics systems and their corresponding energy consumption patterns, considering ships’ operational statuses, quay crane distribution constraints, and power balances. To better represent the ship–energy–logistics optimization problem, a hybrid system modeling technique is employed. The case of Shanghai Port is studied; the results show that costs can be reduced by 3.27% compared to the traditional optimization method, and a sensitivity analysis demonstrates the robustness of the proposed method.

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Section: Introductionmentioning

confidence: 86%