• Title/Summary/Keyword: Hydrogen Leakage Simulator

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Inplementation of a Hydrogen Leakage Simulator with HyRAM+ (HyRAM+를 이용한 수소 누출 시뮬레이터 구현)

  • Sung-Ho Hwang
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.551-557
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    • 2024
  • Hydrogen is a renewable energy source with various characteristics such as clean, carbon-free and high-energy, and is internationally recognized as a "future energy". With the rapid development of the hydrogen energy industry, more hydrogen infrastructure is needed to meet the demand for hydrogen. However, hydrogen infrastructure accidents have been occurring frequently, hindering the development of the hydrogen industry. HyRAM+, developed by Sandia National Laboratories, is a software toolkit that integrates data and methods related to hydrogen safety assessments for various storage applications, including hydrogen refueling stations. HyRAM+'s physics mode simulates hydrogen leak results depending on the hydrogen refueling station components, graphing gas plume dispersion, jet frame temperature and trajectory, and radiative heat flux. In this paper, hydrogen leakage data was extracted from a hydrogen refueling station in Samcheok, Gangwon-do, using HyRAM+ software. A hydrogen leakage simulator was developed using data extracted from HyRAM+. It was implemented as a dashboard that shows the data generated by the simulator using a database and Grafana.

A Study on Safety Assessment of Hydrogen Station (수소충전소의 안전성 평가 연구)

  • PYO, DON-YOUNG;KIM, YANG-HWA;LIM, OCK-TAECK
    • Transactions of the Korean hydrogen and new energy society
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    • v.30 no.6
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    • pp.499-504
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    • 2019
  • Due to the rapid spread and low minimum ignition energy of hydrogen, rupture is highly likely to cause fire, explosion and major accidents. The self-ignition of high-pressure hydrogen is highly likely to ignite immediately when it leaks from an open space, resulting in jet fire. Results of the diffusion and leakage simulation show that jet effect occurs from the leakage source to a certain distance. And at the end of location, the vapor cloud explosion can be occurred due to the formation of hydrogen vapor clouds by built-up. In the result, it is important that depending on the time of ignition, a jet fire or a vapor cloud explosion may occur. Therefore, it is necessary to take into account jet effect by location of leakage source and establish a damage minimizing plan for the possible jet fire or vapor cloud explosion. And it is required to any kind of measurements such as an interlock system to prevent hydrogen leakage or minimize the amount of leakage when detecting leakage of gas.

Large Eddy Simulation for the Prediction of Unsteady Dispersion Behavior of Hydrogen Fluoride (불산의 비정상 확산거동 예측을 위한 대와동모사)

  • Ko, M.W.;Oh, Chang Bo;Han, Y.S.;Choi, B.I.;Do, K.H.;Kim, M.B.;Kim, T.H.
    • Journal of the Korean Society of Safety
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    • v.30 no.1
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    • pp.14-20
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    • 2015
  • A Large Eddy Simulation(LES) was performed for the prediction of unsteady dispersion behavior of hydrogen fluoride (HF). The HF leakage accident occurred at the Gumi fourth industrial complex was numerically investigated using the Fire Dynamics Simulator (FDS) based on the LES. The accident area was modeled three-dimensionally and time-varying boundary conditions for wind were adopted in the simulation for considering the realistic accident conditions. The Message Passing Interface (MPI) parallel computation technique was used to reduce the computational time. As a result, it was found that the present LES simulation could predict the unsteady dispersion features of HF near the accident area effectively. The dispersion behaviors of the leaked HF was much affected by the unsteady wind direction. The LES could predict the time variation of the HF concentration reasonably and give an useful information for the risk analysis while the prediction with the time-averaging concept of HF concentration had a limitation for the amount of HF concentration at specific location point. It was identified that the LES is very useful to predict the dispersion characteristics of hazardous chemicals.