A study on the dynamic optimization strategy of energy routers in zero-carbon ports based on digital twin technology
The global maritime industry faces urgent demands for carbon neutrality while maintaining efficiency. Ports, as critical logistics nodes, need innovative solutions for zero-carbon energy. This study proposes a dynamic optimization framework for energy routers in zero-carbon ports, leveraging digital...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525004454 |
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| author | Shun Li Xingda Fan Zhaoyu Qi |
| author_facet | Shun Li Xingda Fan Zhaoyu Qi |
| author_sort | Shun Li |
| collection | DOAJ |
| description | The global maritime industry faces urgent demands for carbon neutrality while maintaining efficiency. Ports, as critical logistics nodes, need innovative solutions for zero-carbon energy. This study proposes a dynamic optimization framework for energy routers in zero-carbon ports, leveraging digital twins to address renewable integration, real-time coordination, and carbon accountability. By synergistically integrating physics-informed modeling, federated learning, and hybrid quantum–classical optimization, the framework achieves synchronized multi-timescale energy control. A Tianjin Port case study showed 92.4% renewable utilization, 42.8% lower carbon intensity, and 29% reduced costs. Resilience was validated under extreme weather, maintaining 94.7% capacity in typhoons. Innovations include blockchain-audited carbon tracking and adversarial reinforcement learning for cybersecurity. This study bridges the gaps in temporal-spatial decoupling and multi-stakeholder coordination, offering a replicable port decarbonization blueprint aligned with IMO 2050. Challenges like sensor dependency and embodied carbon highlight future research in edge AI and circular economy. |
| format | Article |
| id | doaj-art-1abe1ab7399f4b739d527de9fc80b3a3 |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-1abe1ab7399f4b739d527de9fc80b3a32025-08-20T03:41:04ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-09-0117011089710.1016/j.ijepes.2025.110897A study on the dynamic optimization strategy of energy routers in zero-carbon ports based on digital twin technologyShun Li0Xingda Fan1Zhaoyu Qi2Key Laboratory of Environmental Protection in Water Transport Engineering Ministry of Transport, Tianjin Research Institute for Water Transport Engineering, No. 2618 Xingang Erhao Road, Binhai New District, Tianjin 300456, China; School of Integrated Circuits, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaKey Laboratory of Environmental Protection in Water Transport Engineering Ministry of Transport, Tianjin Research Institute for Water Transport Engineering, No. 2618 Xingang Erhao Road, Binhai New District, Tianjin 300456, ChinaKey Laboratory of Environmental Protection in Water Transport Engineering Ministry of Transport, Tianjin Research Institute for Water Transport Engineering, No. 2618 Xingang Erhao Road, Binhai New District, Tianjin 300456, China; Corresponding author.The global maritime industry faces urgent demands for carbon neutrality while maintaining efficiency. Ports, as critical logistics nodes, need innovative solutions for zero-carbon energy. This study proposes a dynamic optimization framework for energy routers in zero-carbon ports, leveraging digital twins to address renewable integration, real-time coordination, and carbon accountability. By synergistically integrating physics-informed modeling, federated learning, and hybrid quantum–classical optimization, the framework achieves synchronized multi-timescale energy control. A Tianjin Port case study showed 92.4% renewable utilization, 42.8% lower carbon intensity, and 29% reduced costs. Resilience was validated under extreme weather, maintaining 94.7% capacity in typhoons. Innovations include blockchain-audited carbon tracking and adversarial reinforcement learning for cybersecurity. This study bridges the gaps in temporal-spatial decoupling and multi-stakeholder coordination, offering a replicable port decarbonization blueprint aligned with IMO 2050. Challenges like sensor dependency and embodied carbon highlight future research in edge AI and circular economy.http://www.sciencedirect.com/science/article/pii/S0142061525004454Digital twinEnergy routerZero-carbon portDynamic optimizationCarbon-aware demand response |
| spellingShingle | Shun Li Xingda Fan Zhaoyu Qi A study on the dynamic optimization strategy of energy routers in zero-carbon ports based on digital twin technology International Journal of Electrical Power & Energy Systems Digital twin Energy router Zero-carbon port Dynamic optimization Carbon-aware demand response |
| title | A study on the dynamic optimization strategy of energy routers in zero-carbon ports based on digital twin technology |
| title_full | A study on the dynamic optimization strategy of energy routers in zero-carbon ports based on digital twin technology |
| title_fullStr | A study on the dynamic optimization strategy of energy routers in zero-carbon ports based on digital twin technology |
| title_full_unstemmed | A study on the dynamic optimization strategy of energy routers in zero-carbon ports based on digital twin technology |
| title_short | A study on the dynamic optimization strategy of energy routers in zero-carbon ports based on digital twin technology |
| title_sort | study on the dynamic optimization strategy of energy routers in zero carbon ports based on digital twin technology |
| topic | Digital twin Energy router Zero-carbon port Dynamic optimization Carbon-aware demand response |
| url | http://www.sciencedirect.com/science/article/pii/S0142061525004454 |
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