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

Yubang Hu, Qingjie Chen, Jiahui Fan, Shanshan Hu () and Yingning Hu ()
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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

Energies, 2025, vol. 18, issue 11, 1-22

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.

Keywords: regional multi-energy system; TRNSYS; dynamic load; optimisation operation control strategy; power consumption (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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