Dynamic characteristics and control strategies of the supercritical CO2 Brayton cycle tailored for the new generation concentrating solar power
Yifan Zhang,
Hongzhi Li,
Kailun Li,
Yu Yang,
Yujia Zhou,
Xuwei Zhang,
Ruina Xu,
Weilin Zhuge,
Xianliang Lei and
Guangju Dan
Applied Energy, 2022, vol. 328, issue C, No S0306261922014477
Abstract:
The supercritical CO2 (sCO2) Brayton cycle has the advantages of high efficiency, good flexibility and compact equipment, and is widely regarded as the ideal power cycle for the new generation concentrating solar power (CSP). The application scenario of the CSP determines that the unit's fast peak shaving capability must be considered. In this paper, a dynamic simulation model was developed for an indirect-heated 800 °C/550 °C sCO2 CSP test plant, containing a particle heat storage system. The effects of control modes of heating power, cooling power, mass flow rate (m), turbine rotational speed and sCO2 inventory on the system dynamic characteristics were researched. It was found that the control mode of changing particle/water mass flow rate had a significantly faster response speed than changing temperature. Using the turbine optimal rotational speed control mode could improve the net cycle efficiency from 15.30% to 16.12%, in a continuous linear load reduction process. The sCO2 inventory control module played a crucial role in limiting the fluctuation of compressor inlet pressure. The regulation mode of changing m and turbine inlet temperature (T4) synchronously and that of changing m with constant T4 were all proved to achieve the goal of fast peak shaving well, but the latter one was safer, which could greatly limit the temperature change rate of sCO2 and equipment in the fast peak shaving process. Our work not only offers an operation solution for the sCO2 CSP test plant, but also gives guidance for the efficient, flexible and safe design of the third generation CSP plants.
Keywords: Supercritical CO2; Concentrating solar power; Dynamic characteristic; Control strategy; Fast peak shaving (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (6)
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DOI: 10.1016/j.apenergy.2022.120190
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