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

Aiming Mo, Yan Zhang (), Yiyong Xiong, Fan Ma and Lin Sun
Additional contact information
Aiming Mo: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Yan Zhang: National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
Yiyong Xiong: School of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China
Fan Ma: National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China
Lin Sun: National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China

Mathematics, 2024, vol. 12, issue 12, 1-24

Abstract: 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.

Keywords: collaborative optimization; integrated energy system; energy–logistics coordination; port; renewable energy (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/12/12/1917/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/12/1917/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:12:y:2024:i:12:p:1917-:d:1419111

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().