4.7 Article

Compact QEPAS humidity sensor in SF6 buffer gas for high-voltage gas power systems

期刊

PHOTOACOUSTICS
卷 25, 期 -, 页码 -

出版社

ELSEVIER GMBH
DOI: 10.1016/j.pacs.2021.100319

关键词

Quartz enhanced photoacoustic spectroscopy; Trace gas sensor; Sulfur hexafluoride; Humidity sensor; High-voltage gas power system

资金

  1. National Natural Science Foundation of China [62105252, 62075119, 61975254, 61805187, 61805132]
  2. Guangdong Basic and Applied Basic Research Foundation [2020A1515111012]
  3. US National Science Foundation (ERC MIRTHE award) [R3H685]
  4. Robert Welch Foundation [C0586]
  5. Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi [2019L0028]

向作者/读者索取更多资源

H2O is the most problematic impurity in SF6 insulated high-voltage gas power systems, leading to corrosion and safety hazards. A QEPAS-based sensor system has been developed for detection, achieving a detection limit of 0.49 ppm and providing a powerful prevention tool for safety monitoring in power systems.
In SF6 insulated high-voltage gas power systems, H2O is the most problematic impurity which not only decreases insulation performance but also creates an acidic atmosphere that promotes corrosion. Corrosion damages electrical equipment and leads to leaks, which pose serious safety hazards to people and the environment. A QEPAS-based sensor system for the sub-ppm level H2O detection in SF6 buffer gas was developed by use of a near-infrared commercial DFB diode laser. Since the specific physical constants of SF6 are strongly different from that of N-2 or air, the resonant frequency and Q-factor of the bare quartz tuning fork (QTF) had changed to 32,763 Hz and 4173, respectively. The optimal vertical detection position was 1.2 mm far from the QTF opening. After the experimental optimization of acoustic micro-resonator (AmR) parameters, gas pressures, and modulation depths, a detection limit of 0.49 ppm was achieved for an averaging time of 1 s, which provided a powerful prevention tool for the safety monitoring in power systems.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据