基于数字孪生的GIL管廊SF6气体多泄漏场景下的扩散特性研究

doi:10.3969/j.issn.2097-0706.2026.02.004

摘要/Abstract

摘要：

气体绝缘输电线路（GIL）管廊内部管道输送距离长且环境封闭，发生气体泄漏时危害极大，传感器部署的局限性导致长期以来泄漏判据设计较为单一。为解决这一问题，基于ANSYS软件，在虚拟环境中构建管廊气体扩散仿真模型，研究不同泄漏情况下SF₆气体在管廊内的扩散特性。结合苏通GIL综合管廊实际工况，对GIL综合管廊数字孪生体进行多环境、多演绎路径的仿真推演，覆盖了多种不同的泄漏情境，可为多类工况下的气体泄漏缺陷智能算法设计提供数据支撑，也可为传感器的优化部署提供支持。

关键词: GIL管廊, SF₆气体泄漏, 扩散特性, 数字孪生, 智能算法

Abstract:

The internal pipeline in Gas Insulated Transmission Line （GIL）pipeline gallery involves long-distance pipeline transportation in an enclosed environment，posing significant risks in case of gas leaks. The limitations in sensor deployment have led to a relatively single leakage criterion design for a long time. To address this issue，a simulation model of gas diffusion in the pipe gallery was constructed in a virtual environment based on ANSYS software to study the diffusion characteristics of SF₆ gas under different leakage scenarios. By simulating the actual working conditions of the Su-Tong GIL pipe gallery and conducting multi-environment and multi-scenario simulations of the GIL digital twin，this study covered various leakage situations. The results provided data support for the design of intelligent algorithms for gas leak detection under different operating conditions and optimization of sensor deployment.

Key words: GIL pipe gallery, SF₆ gas leakage, diffusion characteristics, digital twin, intelligent algorithm

中图分类号:

TK01：TM75

徐长福, 赵新冬, 梁伟, 贺兴, 卜艺康. 基于数字孪生的GIL管廊SF₆气体多泄漏场景下的扩散特性研究[J]. 综合智慧能源, 2026, 48(2): 37-46.

XU Changfu, ZHAO Xindong, LIANG Wei, HE Xing, BU Yikang. Study on diffusion characteristics of SF₆ gas in GIL pipe gallery under multiple leakage scenarios based on digital twin[J]. Integrated Intelligent Energy, 2026, 48(2): 37-46.

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变量	空气	SF₆
摩尔质量/(kg·kmol^-1)	28.97	146.07
动力黏度/[kg·(m·s)^-1]	1.73×10^-5	1.58×10^-5
绝热指数	1.4	1.3
比定压热容/[J·(kg·K)^-1]	1 006.43	665.18
密度/(kg·m^-3)	1.23	6.16
导热系数/[W·(m·K)^-1]	0.024	0.012

场景	泄漏方向	泄漏高度	覆盖区域
1	向下	最下层	管廊顶部、中部、当侧壁面
2	向上	最上层	管廊顶部、底部、中部、对侧壁面
3	向外	中间层	管廊顶部、底部、两侧壁面

基于数字孪生的GIL管廊SF₆气体多泄漏场景下的扩散特性研究

Study on diffusion characteristics of SF₆ gas in GIL pipe gallery under multiple leakage scenarios based on digital twin

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