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

能量(信号处理) 端口(电路理论) 能源系统 计算机科学 工程类 机械工程 物理 量子力学
作者
Aiming Mo,Yan Zhang,Yiyong Xiong,Fan Ma,Lin Sun
出处
期刊:Mathematics [MDPI AG]
卷期号:12 (12): 1917-1917
标识
DOI:10.3390/math12121917
摘要

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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