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Optimal scheduling for seaport integrated energy system considering flexible berth allocation

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  • Mao, Anjia
  • Yu, Tiantian
  • Ding, Zhaohao
  • Fang, Sidun
  • Guo, Jinran
  • Sheng, Qianqian

Abstract

As a bridge to connect the land and sea, the emissions within a seaport have significant effects on the urban environment. In order to reduce gas emissions, electrification of seaports has been a promising trend. Besides the integrated thermal network for cold-chain supply, the future seaport can be viewed as a transportation integrated energy system, and the coordination between the shipside and portside will highly influence the system behaviors of seaport. In this paper, the energy models of two basic ship-port coordination, i.e., on-shore power supply management (cold-ironing) and berth allocation are proposed, and an integrated energy system scheduling model is proposed to simultaneously meet the electric and thermal power demands. The port of Houston is set as the test case to show the validity of proposed method and the simulation results demonstrate berth allocation can provide adequate flexibility to facilitate the seaport operation.

Suggested Citation

  • Mao, Anjia & Yu, Tiantian & Ding, Zhaohao & Fang, Sidun & Guo, Jinran & Sheng, Qianqian, 2022. "Optimal scheduling for seaport integrated energy system considering flexible berth allocation," Applied Energy, Elsevier, vol. 308(C).
    • Handle: RePEc:eee:appene:v:308:y:2022:i:c:s030626192101624x
    DOI: 10.1016/j.apenergy.2021.118386
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    Cited by:

    1. Hossam A. Gabbar & Otavio Lopes Alves Esteves, 2023. "Planning and Evaluation of Nuclear-Renewable Hybrid Energy Penetration for Marine and Waterfront Applications," Energies, MDPI, vol. 16(14), pages 1-16, July.
    2. Lu, Ying & Fang, Sidun & Niu, Tao & Liao, Ruijin, 2023. "Energy-transport scheduling for green vehicles in seaport areas: A review on operation models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    3. Fei Teng & Qing Zhang & Tao Zou & Jun Zhu & Yonggang Tu & Qian Feng, 2022. "Energy Management Strategy for Seaport Integrated Energy System under Polymorphic Network," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    4. Zheng, Lingwei & Wu, Hao & Guo, Siqi & Sun, Xinyu, 2023. "Real-time dispatch of an integrated energy system based on multi-stage reinforcement learning with an improved action-choosing strategy," Energy, Elsevier, vol. 277(C).

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