Comparison of different load-following control strategies of a sCO2 Brayton cycle under full load range. (1st May 2022)

• Record Type: Journal Article
• Authors: Wang, Rui; Wang, Xuan; Shu, Gequn; Tian, Hua; Cai, Jinwen; Bian, Xingyan; Li, Xinyu; Qin, Zheng; Shi, Lingfeng
• Is Part Of: Energy. Volume 246(2022)
• Publication Date: 2022-05-01
• Subjects: Supercritical CO2 Brayton cycle -- Coupled control -- Inventory control -- Valve control -- Load following -- Surge protection; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2022.123378
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: The supercritical CO2 Brayton cycle has been regarded as a promising next-generation power conversion system owing to its flexibility and high efficiency. Dynamic performance and control strategy are essential research topics when systems are subjected to various load demands. Inventory control has been proven as a very effective load control method and valve controls have the potential to meet wider load demands. While few studies have focused on the differences in efficiency and system performance under different control strategies. In this study, a dynamic model of recompression supercritical CO2 Brayton cycle is proposed, and its components are carefully validated. Moreover, an inventory and anti-surge coupled control strategy is proposed to achieve better control performance. Under the premise of considering system security, various control strategies meeting 0%–100% load range are compared. The primary objective of this study is to reveal the differences in efficiency and dynamic performance of various control strategies in the full load range, to provide a basis for the selection of control strategies in off-design conditions. The results demonstrate that inventory and anti-surge coupled control allow safe tracking loads as low as 0%, and it provided an absolute advantage in terms of efficiency compared to valve controls. Highlights: A kW-scale dynamic model of sCO2 Brayton cycle is established and the components are validated against experiment data. A coupled inventory control strategy is proposed to meet 100-0% load demand. Various control strategies are compared to provide the selection basis in full load range.