Research Progress of Control Optimization Strategies for Transcritical CO2 Cycle System

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Research Progress of Control Optimization Strategies for Transcritical CO2 Cycle System

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[1]WANG Dingbiao,DUAN Hongxin,WANG Guanghui,et al.Research Progress of Control Optimization Strategies for Transcritical CO2 Cycle System[J].Journal of Zhengzhou University (Engineering Science),2024,45(02):1-11.[doi:10.13705/j.issn.1671-6833.2024.02.013]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 45 Number of periods: 2024 02 Page number: 1-11 Column: Public date: 2024-03-06

Title:: Research Progress of Control Optimization Strategies for Transcritical CO2 Cycle System

Author(s):: WANG Dingbiao ¹; 2 ; DUAN Hongxin ¹; 2 ; WANG Guanghui¹; 2 ; SHEN Aoqi ¹; 2 ; LIU Heyu ¹; 2 ; QIN Xiang ¹; 2; 1. School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China; 2. Henan International Joint Laboratory of New Energy Clean Utilization Technology and Energy Saving Equipment, Zhengzhou 450001, China

Keywords:: transcritical; CO2 cycle system; optimization; control strategy; predictive control

CLC:: TK123；TB65；TP13

DOI:: 10.13705/j.issn.1671-6833.2024.02.013

Abstract:: As an important part of the transcritical CO2 cycle system, the control strategy played the key role to ensure the high efficiency and energy saving operation of the system. Studies of control strategies were examined such as the feedback control based on the empirical calculation of the optimal diacharge pressure of the system and the Buckingham π theorem, the real-time online control based on gradient tracking and extreme seeking, and the predictive control based on the neural network, etc. The development history and future development trend of the system control strategy were analysed and summarized in detail. Off-line control was easy to establish with low cost, but it was easily affected by environmental factors and changes in system components, resulting in reducing control performance; The real-time online control strategy could track the discharge pressure corresponding to the maximum energy efficiency of the system in real time, but due to the long optimization process, the convergence time of the control system was too long. Model predictive control system could realize real-time optimization and rapid convergence, and had a good development prospect. Combined with the practical scenarios of new energy vehicles, building heating, rail transit, commercial refrigeration, military industry and other practical scenarios, the application characteristics and future development trend of the control strategy of the transcritical CO2 cycle system were explored, and it was further explained that improving the applicability of the control strategy was an important direction for future research. The feasibility of applying adaptive methods such as generalized predictive control and reinforcement learning to the control strategy of transcritical CO2 cycle system was proposed, and the significance of developing control strategy for large-scale cycle system and energy storage system in China with the background of “ double-carbon” was discussed.

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Last Update: 2024-03-08