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Optimal Energy Management Strategy of Clustered Industry Factories Considering Carbon Trading and Supply Chain Coupling

Author

Listed:
  • Jiaying Wang

    (State Grid Zhejiang Marketing Service Center, Hangzhou 310030, China)

  • Chunguang Lu

    (State Grid Zhejiang Marketing Service Center, Hangzhou 310030, China)

  • Shuai Zhang

    (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Huajiang Yan

    (State Grid Zhejiang Marketing Service Center, Hangzhou 310030, China)

  • Changsen Feng

    (College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

Industrial parks, characterized by the clustering of multiple factories and interconnected energy sources, require optimized operational strategies for their Integrated Energy Systems (IES). These strategies not only aim to conserve energy for industrial users but also relieve the burden on the power supply, reducing carbon emissions. In this context, this paper introduces an optimization strategy tailored to clustered factories, considering the incorporation of carbon trading and supply chain integration throughout the entire production process of each factory. First, a workshop model is established for each factory, accompanied by an energy consumption model that accounts for the strict sequencing of the production process and supply chain integration. Furthermore, energy unit models are devised for the IES and then a low-carbon and economically optimized scheduling model is outlined for the IES within the industrial park, aiming to minimize the total operational cost, including the cost of carbon trading. Finally, case studies are conducted within a paper-making industrial park located in the Zhejiang Province. Various scenarios are compared and analyzed. The numerical results underscore the model’s economic and low-carbon merits, and it offers technical support for energy conservation and emission reduction in paper-making fields.

Suggested Citation

  • Jiaying Wang & Chunguang Lu & Shuai Zhang & Huajiang Yan & Changsen Feng, 2023. "Optimal Energy Management Strategy of Clustered Industry Factories Considering Carbon Trading and Supply Chain Coupling," Energies, MDPI, vol. 16(24), pages 1-22, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8041-:d:1299306
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    References listed on IDEAS

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    1. Wei, Xintong & Qiu, Rui & Liang, Yongtu & Liao, Qi & Klemeš, Jiří Jaromír & Xue, Jinjun & Zhang, Haoran, 2022. "Roadmap to carbon emissions neutral industrial parks: Energy, economic and environmental analysis," Energy, Elsevier, vol. 238(PA).
    2. Effrosyni Giama & Elli Kyriaki & Athanasios Papaevaggelou & Agis Papadopoulos, 2023. "Energy and Environmental Analysis of Renewable Energy Systems Focused on Biomass Technologies for Residential Applications: The Life Cycle Energy Analysis Approach," Energies, MDPI, vol. 16(11), pages 1-22, May.
    3. George Ekonomou & George Halkos, 2023. "Exploring the Impact of Economic Growth on the Environment: An Overview of Trends and Developments," Energies, MDPI, vol. 16(11), pages 1-19, June.
    4. Zhu, Dafeng & Yang, Bo & Liu, Yuxiang & Wang, Zhaojian & Ma, Kai & Guan, Xinping, 2022. "Energy management based on multi-agent deep reinforcement learning for a multi-energy industrial park," Applied Energy, Elsevier, vol. 311(C).
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