Multi-objective optimization of recompression S-CO2 cycle for gas turbine waste heat recovery

Jin, Qinglong; Xia, Shaojun; Xie, Tianchao; Huang, Jialuo

doi:10.1016/j.applthermaleng.2023.120601

Cited by 8 publications

(1 citation statement)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study involved a comparison and optimization of eight types of gas turbines, revealing that the cascaded S-CO 2 combined cycle demonstrated thermodynamic advantages in small gas turbines with high exhaust gas temperatures. Jin et al [23] developed a model for a recompression S-CO 2 Brayton cycle, taking into account finite temperature-difference heat transfer, irreversible expansion, and irreversible compression. The objective was to attain an optimal equilibrium point for net power output, isentropic efficiency, thermal efficiency, and ecological function through multi-objective optimization.…”

Section: Introductionmentioning

confidence: 99%

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

Ma,

Zhang,

Lee

et al. 2024

Energies

View full text Add to dashboard Cite

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-CO2) 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-CO2 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 CO2 (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.

show abstract

Section: Introductionmentioning

confidence: 99%