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Mach number and energy loss analysis inside multi-stage Tesla valves for hydrogen decompression

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  • Qian, Jin-yuan
  • Chen, Min-rui
  • Gao, Zhi-xin
  • Jin, Zhi-jiang

Abstract

Multi-stage Tesla valves in the reversed flow state can be applied during the hydrogen decompression process between the high pressure hydrogen storage vessel and the fuel cell. Under high-pressure turbulent hydrogen flow, severe aerodynamic noise may be caused and large energy loss inside Tesla valves may be generated, which can cause uncomfortable noise in vehicles. In this paper, the valve stage number and the pressure ratio between the inlet and the outlet are analyzed to investigate the possibility of the occurrence of aerodynamic noise and energy loss inside Tesla valves, and Mach number, turbulent dissipation rate, and exergy loss are used and evaluated as the criterion. The results show that both Mach number and exergy loss increase with the increasing of pressure ratio, but with the decrease of valve stage number, Mach number increases and exergy loss decreases. In addition, large turbulent dissipation rate at each valve stage appears near the bifurcation and the confluence between the straight channel and the bend channel of multi-stage Tesla valves. The correlation between the valve stage number, the pressure ratio, and the maximum Mach number is fitted, which can be used to estimate the possibility of the occurrence of aerodynamic noise.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:179:y:2019:i:c:p:647-654
    DOI: 10.1016/j.energy.2019.05.064
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    References listed on IDEAS

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    1. Niaz, Saba & Manzoor, Taniya & Pandith, Altaf Hussain, 2015. "Hydrogen storage: Materials, methods and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 457-469.
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    Cited by:

    1. Gong, Fan & Yang, Xiaolong & Zhang, Xun & Mao, Zongqiang & Gao, Weitao & Wang, Cheng, 2023. "The study of Tesla valve flow field on the net power of proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 329(C).
    2. Wang, Zhiwei & He, Yanping & Duan, Zhongdi & Huang, Chao & Liu, Shiwen & Xue, Hongxiang, 2023. "Passive mitigation of condensation-induced water hammer by converging-diverging structures for offshore nuclear power plants," Energy, Elsevier, vol. 282(C).
    3. 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).
    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).

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