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Fluid dynamic analysis of liquefied natural gas flow through a cryogenic ball valve in liquefied natural gas receiving stations

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  • Lin, Zhen-hao
  • Li, Jun-ye
  • Jin, Zhi-jiang
  • Qian, Jin-yuan

Abstract

Cryogenic ball valves are one of the most important fluid control devices in liquefied natural gas (LNG) receiving stations. The dynamic flow characteristics of cryogenic ball valves directly affect the stability of a pipeline system. In this paper, the sliding mesh technology was adopted to simulate the dynamic flow characteristics inside the cryogenic ball valve. Firstly, the energy loss inside the cryogenic ball valve during the opening and closing process was analyzed. It is found that the energy loss is larger when the spool degree is less than 30°, while the fluid resistance is very small at the rest of the degree. Then, the dynamic flow characteristics of the cryogenic ball valve at different spool rotational speeds were investigated. It is found that the velocity value and the flow turbulence are gradually increased when the spool rotational speed increases from 1.25 deg/s to 10 deg/s. Finally, dynamic flow characteristics during the valve opening process with fluctuation of inlet velocity were analyzed. It is found that the distribution of velocity and pressure is approximately consistent, while the value of velocity and pressure is increased with the increase of inlet velocity. It is helpful for the design of cryogenic ball valves and the improvement of the whole LNG pipeline system.

Suggested Citation

  • Lin, Zhen-hao & Li, Jun-ye & Jin, Zhi-jiang & Qian, Jin-yuan, 2021. "Fluid dynamic analysis of liquefied natural gas flow through a cryogenic ball valve in liquefied natural gas receiving stations," Energy, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:energy:v:226:y:2021:i:c:s0360544221006253
    DOI: 10.1016/j.energy.2021.120376
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    References listed on IDEAS

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    1. Chai, Jian & Liang, Ting & Lai, Kin Keung & Zhang, Zhe George & Wang, Shouyang, 2018. "The future natural gas consumption in China: Based on the LMDI-STIRPAT-PLSR framework and scenario analysis," Energy Policy, Elsevier, vol. 119(C), pages 215-225.
    2. Yu, Weichao & Song, Shangfei & Li, Yichen & Min, Yuan & Huang, Weihe & Wen, Kai & Gong, Jing, 2018. "Gas supply reliability assessment of natural gas transmission pipeline systems," Energy, Elsevier, vol. 162(C), pages 853-870.
    3. Santiago Laín & Pablo Cortés & Omar Darío López, 2020. "Numerical Simulation of the Flow around a Straight Blade Darrieus Water Turbine," Energies, MDPI, vol. 13(5), pages 1-27, March.
    4. George, Dimopoulos G. & Eleftherios, Koukoulopoulos D. & Chariklia, Georgopoulou A., 2020. "LNG carrier two-stroke propulsion systems: A comparative study of state of the art reliquefaction technologies," Energy, Elsevier, vol. 195(C).
    5. Qian, Jin-yuan & Chen, Min-rui & Gao, Zhi-xin & Jin, Zhi-jiang, 2019. "Mach number and energy loss analysis inside multi-stage Tesla valves for hydrogen decompression," Energy, Elsevier, vol. 179(C), pages 647-654.
    6. Qian, Jin-yuan & Wei, Lin & Zhang, Ming & Chen, Fu-qiang & Chen, Li-long & Jiang, Wei-kang & Jin, Zhi-jiang, 2017. "Flow rate analysis of compressible superheated steam through pressure reducing valves," Energy, Elsevier, vol. 135(C), pages 650-658.
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    Cited by:

    1. Zhang, Xinbiao & Xie, Yudong & Han, Jiazhen & Wang, Yong, 2022. "Design of control valve with low energy consumption based on Isight platform," Energy, Elsevier, vol. 239(PD).
    2. Dai, Rui & Tian, Ran & Zheng, Siyu & Wei, Mingshan & Shi, GuoHua, 2022. "Dynamic performance evaluation of LNG vaporization system integrated with solar-assisted heat pump," Renewable Energy, Elsevier, vol. 188(C), pages 561-572.
    3. Zhang, Guang & Wang, Wei Wei & Wu, Ze Yong & Chen, De Sheng & Kim, Heuy Dong & Lin, Zhe, 2023. "Effect of the opening degree on evolution of cryogenic cavitation through a butterfly valve," Energy, Elsevier, vol. 283(C).
    4. Tang, Yang & Zhou, Minghai & Liu, Xiang & Li, Guangyao & Wang, Qiang & Wang, Guorong, 2023. "Study on throttling pressure control flow field for traction speed regulation and braking mechanism of the pipeline intelligent plugging robot," Energy, Elsevier, vol. 282(C).
    5. Grzegorz Filo & Edward Lisowski & Janusz Rajda, 2021. "Design and Flow Analysis of an Adjustable Check Valve by Means of CFD Method," Energies, MDPI, vol. 14(8), pages 1-14, April.

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