4.7 Article

Prediction of state property, flow parameter and jet flame size during transient releases from hydrogen storage systems

期刊

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
卷 43, 期 27, 页码 12565-12573

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2018.04.141

关键词

High-pressure gas; Gas leakage; Equation of state; Flame length; Lift-off height; Jet fire

资金

  1. National Key R&D Program of China [2016YFC0800100]
  2. National Natural Science Foundation of China [51506082]
  3. Talent Project of Nanjing Tech University
  4. Open Project of Jiangsu Key Laboratory of Hazardous Chemicals Safety and Control
  5. University Natural Science Research Foundation of Jiangsu Province [17KJA620004]

向作者/读者索取更多资源

The accidental leakage of high-pressure gas storage systems including tank, pipe, etc. can lead to hazardous jet fires resulting in a serious of disastrous events. With the isentropic process assumption on the high-pressure gas leakage or release, the ideal gas equation of state is firstly used to solve the gas transfer problem, and then the Abel-Noble equation of state (AN-EOS) is adopted for the effect of gas molecule volume. Given both the molecule volume and intermolecular attraction should not be ignored for the high-pressure gas, this paper attempts to build the high-pressure gas leakage process model based on the van der Waals equation of state. Together with the available notional nozzle model and the flame size model, the gas leakage process model is used to calculate the gas state property and flow parameter of hydrogen tank leakage and its subsequent jet flame height. The predicted gas mass flow rate, flame height, and gas pressure and temperature are compared to the experimental measurements for validation and the predictions of the model based on ideal gas equation of state and AN-EOS. It is found that the proposed model can give more encouraging results compared to the previous models. The proposed theoretical model shows a great implication for the calculation of other gas tank leakage and can help to predict the thermal radiation field of jet fires. (C) 2018 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

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