基于氮化硼纳米管的SF气体传感器\(_6\)高压绝缘设备运行状态分析分解元件

Chenaf Tahar, Zegnini Boubakeur, Seghier Tahar, Benghia Ali
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引用次数: 1

摘要

以六氟化硫(SF \(_6\))为绝缘灭弧介质的气体绝缘设备,如气体绝缘站(GIS),在高压电力系统领域得到了广泛的应用。而GIS内部存在的绝缘缺陷不可避免地会导致局部放电(Partial Discharge, PD),使SF \({}_{6}\)的组成变成HF、SF \({}_{4}\)、SOF \({}_{2}\)、SO \({}_{2}\) F \({}_{2}\)和SO \({}_{2}\)等特征组分气体。分解现象会大大降低SF \({}_{6}\)绝缘设备的绝缘性能,导致绝缘故障和停电。探索了碳纳米管、石墨烯、SnO \({}_{2}\) TiO \({}_{2}\)、ZnO等传感非材料作为化学气体传感器,对SF \({}_{6}\)分解物进行快速响应、高灵敏度、高选择性的检测,以保证SF \({}_{6}\)绝缘设备的正常运行。在本文中,我们试图全面了解BNNT对SO \({}_{2}\)的吸附和传感特性,基于DFT方法研究了sof\({}_{2}\)和SO \({}_{2}\) F \({}_{2}\),以探索其作为化学气体传感器的潜力。理论仿真结果表明,BNNT是一种很有前途的灵敏检测传感器,有助于评估SF \(_6\)高压绝缘设备的运行状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Boron Nitride Nanotubes-Based Gas Sensors of SF\(_6\) Decomposed Components for Analyzing the Running Status of High-Voltage Insulated Equipment
Gas-insulated equipment using sulphur hexafluoride  (SF\(_6\)) as insulation and arc extinguishing media such as Gas Insulated Station  (GIS) has been widely used in the field of high voltage power systems. However, the internal insulation defect existed in GIS would inevitably lead to Partial Discharge  (PD), and cause the composition of SF\({}_{6}\) to HF, SF\({}_{4}\), SOF\({}_{2}\), SO\({}_{2}\)F\({}_{2}\) and SO\({}_{2}\) and other characteristic component gases. The decomposition phenomenon would greatly reduce the insulation performance of SF\({}_{6}\) insulated equipment, and lead to insulation faults and power failure. Many sensing nonmaterial's such as carbon nanotube and graphene, metal oxides such as SnO\({}_{2}\) TiO\({}_{2}\), and ZnO were explored as chemical gas sensors to detect SF\({}_{6}\) decomposed species with rapid response, high sensitivity and selectivity, in order to guarantee the operation status of SF\({}_{6}\) insulation equipments. In this paper, we attempt to comprehensively understand the adsorption and sensing property of BNNT to SO\({}_{2}\), SOF\({}_{2}\) and SO\({}_{2}\)F\({}_{2}\) were investigated based on the DFT method to explore its potential as a chemical gas sensor. Our theoretical simulation results show that BNNT could be a promising sensor for sensitive detection which would be beneficial for evaluating the running status of SF\(_6\) high voltage insulated equipments.
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