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Equivalent notional nozzle model for high nozzle pressure ratio leakage of petrochemical high-pressure facility

Author

Listed:
  • Jiang, Xue
  • Xu, Chuanbao
  • Yang, Zhe
  • Ge, Chuntao
  • Nie, Shishuai
  • Yu, Anfeng
  • Ling, Xiaodong

Abstract

Little work has been performed in the petrochemical safety field involving supersonic flows during accidental leakage in petroleum processing. The key technical challenge is on the changing process of gas cloud expansion after the jet. To address this, an equivalent notional nozzle model was developed for high single phase NPR (NPR＞2) gas leakage scenarios in petrochemical high-pressure facilities. This model aimed to determine the essential physical parameters of the equivalent cloud formed after air is drawn in with high NPRs. By utilizing CO2 as the gas phase, the validity of the equivalent notional nozzle model was assessed based on three crucial shock structure properties and the axial and radial velocity fields, the chocked flow intensity was applied as an indicator for the consistent trend of the jet velocity and decompression process of the high NPR gas leakage. The research findings unequivocally demonstrate the efficacy of the equivalent notional nozzle model in facilitating rapid numerical calculations for assessing the impact of high-pressure jets in the petrochemical industry.

Suggested Citation

  • Jiang, Xue & Xu, Chuanbao & Yang, Zhe & Ge, Chuntao & Nie, Shishuai & Yu, Anfeng & Ling, Xiaodong, 2024. "Equivalent notional nozzle model for high nozzle pressure ratio leakage of petrochemical high-pressure facility," Energy, Elsevier, vol. 295(C).
    • Handle: RePEc:eee:energy:v:295:y:2024:i:c:s0360544224007990
    DOI: 10.1016/j.energy.2024.131027
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    References listed on IDEAS

    as
    1. Wu, Pengzhi & Liu, Changchun & Wen, Hu & Luo, Zhenmin & Fan, Shixing & Mi, Wansheng, 2023. "Experimental investigation of jet impingement during accidental release of liquid CO2," Energy, Elsevier, vol. 279(C).
    2. Cheng, Biyi & Yao, Yingxue, 2023. "Machine learning based surrogate model to analyze wind tunnel experiment data of Darrieus wind turbines," Energy, Elsevier, vol. 278(PA).
    3. Lopez-Ruiz, G. & Alava, I. & Blanco, J.M., 2023. "Impact of H2/CH4 blends on the flexibility of micromix burners applied to industrial combustion systems," Energy, Elsevier, vol. 270(C).
    4. Ding, Haoyu & Zhao, Jin & Zhang, Zhenyu & Xu, Kai & Fu, Luxin & He, Xu, 2023. "A numerical study on the interaction of droplet collisions and air flow impact in cross-impinging spray," Energy, Elsevier, vol. 277(C).
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