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基于数据驱动的掺氢天然气在综合管廊中的泄漏与扩散行为研究

Research on leakage and diffusion behavior of hydrogen doped natural gas in integrated pipeline corridors based on data drive.

作者信息

Gong Xiaolong, Li Hua, Li Cheng, Kou Mingyue, Kong Lingxu, Liu Hongcheng

机构信息

Northwest Sichuan Gas District of Southwest Oil and Gasfield Company, Jiangyou, 621700, China.

College of Petroleum and Natural Gas Engineering, SouthWest Petroleum University, Chengdu, 610500, China.

出版信息

Sci Rep. 2025 Jan 22;15(1):2860. doi: 10.1038/s41598-025-86957-1.

Abstract

With the wide application of hydrogen-doped natural gas (HBNG) in end users, laying pipelines in urban, comprehensive pipe corridors has become increasingly common. However, the leakage and diffusion of hydrogen-doped natural gas in confined or semi-confined spaces (e.g., utility corridors) can pose a severe safety hazard, as methane and hydrogen gas mixtures have a higher risk of explosion. Therefore, studying hydrogen-doped natural gas's leakage and diffusion behavior in the comprehensive pipe gallery is essential to ensure its safe operation. This paper establishes a numerical model to study the diffusion law of hydrogen-doped natural gas leakage, and the concentration distribution under different conditions is analyzed. The evolution of the leakage and diffusion of hydrogen-doped natural gas under different hydrogen doping ratios, wind speeds, inlet and outlet spacing, and leakage port sizes were simulated, and the effects of these factors on gas diffusion and explosion hazard volume were discussed. In addition, the backpropagation neural network (BPNN) combined with the global optimization capability of genetic algorithm and the nonlinear mapping capability of neural network is used in this paper to provide a reliable technical means for the accurate prediction of explosion risk volume, which has important application value in the safety design of pipeline corridor and accident prevention and control. The results show that the diffusion range of gas in the pipe corridor increases significantly with the increase of hydrogen mixing ratio. When the hydrogen mixing ratio decreases from 20% to 0, the explosion volume of CH decreases by 12.25%. The explosion volume of H is close to 0. At the same time, the greater the distance between inlet and outlet, the wider the spread of the dangerous area, when the distance between inlet and outlet is reduced from 200 m to 100 m, the explosion volume of CH is reduced by 99.92%, and the explosion volume of H is reduced by 100%. In the case of emergency, the reasonable design of Distance between inlet and outlet and air flow configuration can help to quickly discharge harmful gases, ensure the safe evacuation and equipment maintenance in the pipe corridor, and have guiding significance for the ventilation design of the pipe corridor.

摘要

随着掺氢天然气(HBNG)在终端用户中的广泛应用,在城市综合管廊中铺设管道变得越来越普遍。然而,掺氢天然气在有限或半封闭空间(如公用设施走廊)中的泄漏和扩散会带来严重的安全隐患,因为甲烷和氢气混合物具有更高的爆炸风险。因此,研究掺氢天然气在综合管廊中的泄漏和扩散行为对于确保其安全运行至关重要。本文建立了一个数值模型来研究掺氢天然气泄漏的扩散规律,并分析了不同条件下的浓度分布。模拟了不同掺氢比、风速、进出口间距和泄漏口尺寸下掺氢天然气泄漏和扩散的演变过程,并讨论了这些因素对气体扩散和爆炸危险体积的影响。此外,本文采用结合遗传算法全局优化能力和神经网络非线性映射能力的反向传播神经网络(BPNN),为准确预测爆炸危险体积提供了可靠的技术手段,在管廊安全设计和事故预防控制方面具有重要的应用价值。结果表明,随着氢气混合比的增加,管廊内气体的扩散范围显著增大。当氢气混合比从20%降至0时,CH的爆炸体积减少了12.25%。H的爆炸体积接近0。同时,进出口间距越大,危险区域的扩散范围越广,当进出口间距从200 m减小到100 m时,CH的爆炸体积减少了99.92%,H的爆炸体积减少了100%。在紧急情况下,合理设计进出口间距和气流配置有助于快速排出有害气体,确保管廊内人员安全疏散和设备维护,对管廊通风设计具有指导意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44a1/11754872/d1ecabc423cc/41598_2025_86957_Fig1_HTML.jpg

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