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Dynamic Modeling and Control of Supercritical Carbon Dioxide Power Cycle for Gas Turbine Waste Heat Recovery

Author

Listed:
  • Bowen Ma

    (College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China)

  • Fan Zhang

    (College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China)

  • Kwang Y. Lee

    (Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA)

  • Hemin Hu

    (College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China)

  • Tao Wang

    (College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China)

  • Bing Zhang

    (College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China)

Abstract

The gas turbine is a crucial piece of equipment in the energy and power industry. The exhaust gas has a sufficiently high temperature to be recovered for energy cascade use. The supercritical carbon dioxide (S-CO 2 ) Brayton cycle is an advanced power system that offers benefits in terms of efficiency, volume, and flexibility. It may be utilized for waste heat recovery (WHR) in gas turbines. This study involved the design of a 5 MW S-CO 2 recompression cycle specifically for the purpose of operational control. The dynamic models for the printed circuit heat exchangers, compressors, and turbines were developed. The stability and dynamic behavior of the components were validated. The suggested control strategies entail utilizing the cooling water controller to maintain the compressor inlet temperature above the critical temperature of CO 2 (304.13 K). Additionally, the circulating mass flow rate is regulated to modify the output power, while the exhaust gas flow rate is controlled to ensure that the turbine inlet temperature remains within safe limits. The simulations compare the performance of PI controllers tuned using the SIMC rule and ADRC controllers tuned using the bandwidth method. The findings demonstrated that both controllers are capable of adjusting operating conditions and effectively suppressing fluctuations in the exhaust gas. The ADRC controllers exhibit a superior control performance, resulting in a 55% reduction in settling time under the load-tracking scenario.

Suggested Citation

  • Bowen Ma & Fan Zhang & Kwang Y. Lee & Hemin Hu & Tao Wang & Bing Zhang, 2024. "Dynamic Modeling and Control of Supercritical Carbon Dioxide Power Cycle for Gas Turbine Waste Heat Recovery," Energies, MDPI, vol. 17(6), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:6:p:1343-:d:1355154
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    References listed on IDEAS

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