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Optimisation of Dynamic Operation Strategy for a Regional Multi-Energy System to Reduce Energy Congestion

Author

Listed:
  • Yubang Hu

    (School of Mechanical Engineering, Guangxi University, Nanning 530004, China)

  • Qingjie Chen

    (School of Mechanical Engineering, Guangxi University, Nanning 530004, China)

  • Jiahui Fan

    (School of Mechanical Engineering, Guangxi University, Nanning 530004, China)

  • Shanshan Hu

    (School of Mechanical Engineering, Guangxi University, Nanning 530004, China)

  • Yingning Hu

    (School of Mechanical Engineering, Guangxi University, Nanning 530004, China)

Abstract

Focusing on the power consumption of a regional multi-energy system with the characteristics of energy congestion in students’ dormitory buildings in the hot summer and warm winter regions of southern China, a practical regional multi-energy system consisting of three subsystems, namely an integrated screw chiller (ISC), a screw ground-source heat pump (SGSHP), and an air-source heat pump (ASHP), was optimised by the operation control strategy. The system’s power consumption and cooling/heating load characteristics during operation were analysed, and changes in the terminal air-conditioning load were simulated. Based on the dynamic cooling and heating load of the building, a two-stage loading strategy was proposed for optimising the system operation. Taking the load demand matching requirement of the system output and the terminal load demand as constraints, a simulation model of the system was developed using TRNSYS 16 software, and the changes in power consumption and the cooling/heating capacity before and after optimisation were analysed. The results show that the optimised system reduced annual power consumption by approximately 19% and increased condensation heat recovery by about 2.3%. The optimised operation control strategy was aligned well with the terminal cooling and heating demands.

Suggested Citation

  • Yubang Hu & Qingjie Chen & Jiahui Fan & Shanshan Hu & Yingning Hu, 2025. "Optimisation of Dynamic Operation Strategy for a Regional Multi-Energy System to Reduce Energy Congestion," Energies, MDPI, vol. 18(11), pages 1-22, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2857-:d:1668112
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