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Dynamic modeling and response characteristics of closed CO2 cycle with Li/SF6 fuel boiler to external disturbances

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  • Feng, Jiaqi
  • Zhang, Enbo
  • Bai, Bofeng

Abstract

High-energy density power propulsion technology is of urgent demands for UUVs. In this paper, a novel closed transcritical CO2 cycle combining Li/SF6 fuel boiler is proposed, which has higher efficiency and energy density. To understand the dynamic response characteristics of this system in UUVs application environment, the dynamic simulation model was established and the dynamic response characteristics of the system to external parameter disturbances such as heat source heat load, cold source temperature, turbomachinery speed and their coupled disturbances were investigated. The results show that CO2 mass flow rate needs to be adjusted when the heat load disturbance of heat source exceeds 10 % to avoid overheat. The cycle pressure is not only affected by the turbomachinery speed disturbance, but also by CO2 density change caused by compressor inlet temperature disturbance. The response time of cycle pressure to turbomachinery speed disturbance is shorter than that to compressor inlet temperature. The transcritical CO2 cycle with the compression from gas phase is more resistant to clod source temperature disturbances than S-CO2 Brayton cycle. Inventory control is required to ensure the stability of compressor inlet status. This study provides insights into developing the novel high-energy density power systems for UUVs.

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  • Feng, Jiaqi & Zhang, Enbo & Bai, Bofeng, 2024. "Dynamic modeling and response characteristics of closed CO2 cycle with Li/SF6 fuel boiler to external disturbances," Energy, Elsevier, vol. 312(C).
    • Handle: RePEc:eee:energy:v:312:y:2024:i:c:s0360544224034467
    DOI: 10.1016/j.energy.2024.133668
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    References listed on IDEAS

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    1. Zhang, Jianan & Qin, Kan & Li, Daijin & Luo, Kai & Dang, Jianjun, 2020. "Potential of Organic Rankine Cycles for Unmanned Underwater Vehicles," Energy, Elsevier, vol. 192(C).
    2. Bani-Hani, Ehab & El Haj Assad, Mamdouh & Alzara, Majed & Yosri, Ahmed M. & Aryanfar, Yashar & Castellanos, Humberto Garcia & Mohtaram, Soheil & Bouabidi, Abdallah, 2023. "Energy and exergy analyses of a regenerative Brayton cycle utilizing monochlorobiphenyl wastes as an alternative fuel," Energy, Elsevier, vol. 278(PA).
    3. Liu, Weimin & Xu, Xiaojian & Chen, Fengyun & Liu, Yanjun & Li, Shizhen & Liu, Lei & Chen, Yun, 2020. "A review of research on the closed thermodynamic cycles of ocean thermal energy conversion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    4. Wang, Guohui & Yang, Yanan & Wang, Shuxin, 2020. "Ocean thermal energy application technologies for unmanned underwater vehicles: A comprehensive review," Applied Energy, Elsevier, vol. 278(C).
    5. Wang, Xuan & Cai, Jinwen & Lin, Zhimin & Tian, Hua & Shu, Gequn & Wang, Rui & Bian, Xingyan & Shi, Lingfeng, 2022. "Dynamic simulation study of the start-up and shutdown processes for a recompression CO2 Brayton cycle," Energy, Elsevier, vol. 259(C).
    6. Li, Xinyu & Qin, Zheng & Dong, Keyong & Wang, Lintao & Lin, Zhimin, 2023. "Experimental study of the startup of a supercritical CO2 recompression power system," Energy, Elsevier, vol. 284(C).
    7. Ma, Xiaofeng & Jiang, Peixue & Zhu, Yinhai, 2024. "Dynamic simulation and analysis of transient characteristics of a thermal-to-electrical conversion system based on supercritical CO2 Brayton cycle in hypersonic vehicles," Applied Energy, Elsevier, vol. 359(C).
    8. Li, Yuzhe & Feng, Jiaqi & Zhang, Xu & Bai, Bofeng, 2023. "Technical benefits of the subcritical inlet condition for high-speed CO2 centrifugal compressor in the advanced power-generation cycle," Energy, Elsevier, vol. 284(C).
    9. Feng, Jiaqi & Wang, Junpeng & Chen, Zhentao & Li, Yuzhe & Luo, Zhengyuan & Bai, Bofeng, 2024. "Performance advantages of transcritical CO2 cycle in the marine environment," Energy, Elsevier, vol. 305(C).
    10. Feng, Jiaqi & Wang, Junpeng & Chen, Zhentao & Luo, Zhengyuan & Bai, Bofeng, 2024. "Thermo-economic analysis of regenerative supercritical CO2 Brayton cycle considering turbomachinery leakage flow," Energy, Elsevier, vol. 290(C).
    11. Liu, Yunxia & Zhao, Yuanyang & Yang, Qichao & Liu, Guangbin & Li, Liansheng, 2024. "Research on compression process and compressors in supercritical carbon dioxide power cycle systems: A review," Energy, Elsevier, vol. 297(C).
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