SUN Y W, LIU F L, WEI W, et al. Study on supercritical carbon dioxide Brayton cycle cooling source disturbance control[J]. Chinese Journal of Ship Research, 2023, 18(5): 234–243. DOI: 10.19693/j.issn.1673-3185.02980
Citation: SUN Y W, LIU F L, WEI W, et al. Study on supercritical carbon dioxide Brayton cycle cooling source disturbance control[J]. Chinese Journal of Ship Research, 2023, 18(5): 234–243. DOI: 10.19693/j.issn.1673-3185.02980

Study on supercritical carbon dioxide Brayton cycle cooling source disturbance control

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  • Received Date: June 28, 2022
  • Revised Date: August 14, 2022
  • Available Online: August 20, 2022
© 2023 The Authors. Published by Editorial Office of Chinese Journal of Ship Research. Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  •   Objectives  This paper aims to cope with the possible impact of external condition disturbances on the operating parameters of a supercritical carbon dioxide (S-CO2) Brayton cycle power generation system and ensure its efficient, safe and stable operation.
      Methods  A dynamic numerical simulation model of a simple S-CO2 Brayton cycle power generation system is built using the Matlab/Simulink platform, and the transient operation characteristics of the system are analyzed. The change laws of the operating parameters of the thermodynamic cycle system under changing cooler parameters are then simulated, and the influence of the temperature fluctuation of the cooling source on the inlet and outlet parameters of the system components, system cycle efficiency and adjustment methods are analyzed.
      Results  The results show that the maximum error between the established system transient simulation model results and the experimental results is 3.658%; a 2 K increase in the cooling water temperature will lead to a 1.4 K increase in the compressor inlet temperature, and the system will need 300 s to restore stability; after adding a PID control system, the compressor inlet temperature change amplitude is reduced by 50% and the system stabilization time is reduced by 62%.
      Conclusions  The established model can accurately reflect the operation of the system. Based on the opposition of the influence of cooling water temperature increase and flow increase on the system, the proposed PID control system can ensure that the carbon dioxide working fluid in the system is always above the critical point, thereby ensuring the safe and stable operation of the system.
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