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Simulation Study on Heating Stability of PV/T-GSHP Automatic Control Heating System Based on TRNSYS

Author

Listed:
  • Jianhui Zhao

    (Civil Engineering, Energy College, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Jiamei Chen

    (Civil Engineering, Energy College, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Panxue Liu

    (Civil Engineering, Energy College, Xi’an University of Science and Technology, Xi’an 710054, China)

Abstract

The PV/T-GSHP heating control system is proposed to address the energy consumption problem of building heating in northern China. By using TRNSYS to establish an automatic control model, the control of the heat pump start/stop, water supply temperature on the load side of the tank, and high temperature water return to the building can achieve the purpose of being energy saving, providing stable heating, and providing control of high temperature heating. The results show that the PV/T-GSHP control system has an annual fluctuation range of 0.01~0.17 kW in the heating period for a typical building heat supply and building heat load, and the system energy efficiency and energy consumption are increased by 14.5% and 33.91%, respectively, compared with the GSHP system, and the annual value of cost is reduced by 8.49% and 19.09% compared with the GSHP and traditional coal-fired boiler system, which shows that the PV/T-GSHP control system is more economical. It can be seen that the PV/T-GSHP control system has better heating stability, energy efficiency, and economy, and it provides theoretical significance for the current clean heating automatic control scheme in Chinese northern areas.

Suggested Citation

  • Jianhui Zhao & Jiamei Chen & Panxue Liu, 2023. "Simulation Study on Heating Stability of PV/T-GSHP Automatic Control Heating System Based on TRNSYS," Energies, MDPI, vol. 16(11), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4341-:d:1156172
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    Citations

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    Cited by:

    1. Pengfei Duan & Mengdan Feng & Bingxu Zhao & Qingwen Xue & Kang Li & Jinglei Chen, 2024. "Operational Optimization of Regional Integrated Energy Systems with Heat Pumps and Hydrogen Renewable Energy under Integrated Demand Response," Sustainability, MDPI, vol. 16(3), pages 1-18, January.
    2. Noureddine Boutchich & Ayoub Moufid & Mohammed Bennani & Soumia El Hani, 2023. "Optimal Neural Network PID Approach for Building Thermal Management," Energies, MDPI, vol. 16(15), pages 1-14, July.

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