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Dispersion characteristics of hydrogen leakage: Comparing the prediction model with the experiment

Author

Listed:
  • Shu, Zhiyong
  • Liang, Wenqing
  • Zheng, Xiaohong
  • Lei, Gang
  • Cao, Peng
  • Dai, Wenxiao
  • Qian, Hua

Abstract

A quick and accurate assessment of the hydrogen dispersion when leakage accident happens is useful for minimizing the safety risk. A simplified prediction model was proposed in this paper to predict the dispersion of hydrogen, which was validated by a series of experiments of helium (instead of hydrogen) dispersion in an environmental cabin. The impacts of the helium flow rate, air temperature, and humidity are also explored in the experiments. Results show that when helium leaks continuously upwards in an unobstructed space for a short time, a stable field of concentration will quickly form around the leakage source. The prediction model is found to accurately predict concentration at the central axis when the dimensionless height is 95 < z/d < 195. In addition, A new experimentally fitted entrainment coefficient improve the accuracy of this model, the prediction model is more accurate in predicting the concentration at the central axis. When the jet is dominated by buoyancy and momentum (10 < Fr < 268), buoyancy-dominated (Fr ≤ 10) and momentum-dominated (Fr ≥ 268), the maximum deviations between the prediction model and the experiment are 0.95%, 2.61% and 2.71%, respectively. The deviation of the non-central axis prediction model increase compared with the center line, and the maximum deviation is 17.61%. The distance to the source of leakage and the amount of leakage can be predicted through the rapid prediction model calculation of hydrogen concentration monitoring in the industry.

Suggested Citation

  • Shu, Zhiyong & Liang, Wenqing & Zheng, Xiaohong & Lei, Gang & Cao, Peng & Dai, Wenxiao & Qian, Hua, 2021. "Dispersion characteristics of hydrogen leakage: Comparing the prediction model with the experiment," Energy, Elsevier, vol. 236(C).
  • Handle: RePEc:eee:energy:v:236:y:2021:i:c:s0360544221016686
    DOI: 10.1016/j.energy.2021.121420
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    References listed on IDEAS

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    1. Witkowski, Andrzej & Rusin, Andrzej & Majkut, Mirosław & Stolecka, Katarzyna, 2017. "Comprehensive analysis of hydrogen compression and pipeline transportation from thermodynamics and safety aspects," Energy, Elsevier, vol. 141(C), pages 2508-2518.
    2. Ren, Lei & Zhou, Sheng & Ou, Xunmin, 2020. "Life-cycle energy consumption and greenhouse-gas emissions of hydrogen supply chains for fuel-cell vehicles in China," Energy, Elsevier, vol. 209(C).
    3. Garcia, Gabriel & Arriola, Emmanuel & Chen, Wei-Hsin & De Luna, Mark Daniel, 2021. "A comprehensive review of hydrogen production from methanol thermochemical conversion for sustainability," Energy, Elsevier, vol. 217(C).
    4. Gerboni, R. & Salvador, E., 2009. "Hydrogen transportation systems: Elements of risk analysis," Energy, Elsevier, vol. 34(12), pages 2223-2229.
    5. Yee Mah, Angel Xin & Ho, Wai Shin & Hassim, Mimi H. & Hashim, Haslenda & Liew, Peng Yen & Muis, Zarina Ab, 2021. "Targeting and scheduling of standalone renewable energy system with liquid organic hydrogen carrier as energy storage," Energy, Elsevier, vol. 218(C).
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    Cited by:

    1. Wu, Yunna & Liu, Fangtong & Wu, Junhao & He, Jiaming & Xu, Minjia & Zhou, Jianli, 2022. "Barrier identification and analysis framework to the development of offshore wind-to-hydrogen projects," Energy, Elsevier, vol. 239(PB).
    2. Shu, Zhiyong & Liang, Wenqing & Liu, Fan & Lei, Gang & Zheng, Xiaohong & Qian, Hua, 2022. "Diffusion characteristics of liquid hydrogen spills in a crossflow field: Prediction model and experiment," Applied Energy, Elsevier, vol. 323(C).
    3. Shu, Zhiyong & Lei, Gang & Liang, Wenqing & Huang, Lei & Che, Bangxiang & Zheng, Xiaohong & Qian, Hua, 2024. "Rapid prediction of water hammer characteristics in liquid hydrogen storage and transportation systems: A theoretical model," Renewable Energy, Elsevier, vol. 230(C).
    4. Li, Jianwei & Liu, Jie & Wang, Tianci & Zou, Weitao & Yang, Qingqing & Shen, Jun, 2024. "Analysis of the evolution characteristics of hydrogen leakage and diffusion in a temperature stratified environment," Energy, Elsevier, vol. 293(C).

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