Kong Weiping, Wan Fu, Lei Yu, Wang Changding, Sun Hongcheng, Wang Rui, Chen Weigen
State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China.
National Innovation Center for Industry Education Integration of Energy Storage Technology, School of Electrical Engineering, Chongging University, Chongging 400044, China.
Anal Chem. 2024 Sep 12. doi: 10.1021/acs.analchem.4c02865.
Dynamic detection of multiple CFO decomposition gases can more comprehensively and effectively evaluate the operating status of eco-friendly gas-insulated power equipment (GIPE), which is a technical support for promoting the construction of eco-friendly, low-carbon energy power systems. In this article, we propose a silicon noise suppression fiber-enhanced Raman spectroscopy (FERS) technique and design a FERS sensing system for the dynamic detection of multiple CFO decomposition gases. Benefiting from the effective hybrid silicon noise filtering technology, the spectrum noise of FERS can be suppressed by 90% and the system detection sensitivity can be improved by 4.22 times. Utilizing a 2 m-long antiresonant hollow-core fiber, the system achieved detection limits of 1.34 and 1.44 ppmv for CF and CO, respectively, under the conditions of a laser power of 200 mW, a pressure of 0.5 MPa, and a measurement time of 120 s. Afterward, combining sample gas and density functional theory simulation, the characteristic peak positions for quantitative analysis of CFO decomposition gas were determined as follows: CF: 906 cm, CO: 1388 cm, CFO: 759 cm, CFO: 965 cm, CFH: 1117 cm, CF: 517 cm, CF: 807 cm, CF: 767 cm, CF: 780 cm, CFH: 857 cm, and CF: 770 cm. Finally, the sensing system conducted dynamic measurements of the partial discharge decomposition gases of the CFO GIPE for 5 days with a 2 h measurement interval. The content trends of CFO and decomposition gases CF, CO, CF, and CFH were obtained. These results fully demonstrate the capability of FERS technology for dynamically detecting the decomposition gases of the CFO GIPE.
动态检测多种CFO分解气体能够更全面、有效地评估环保型气体绝缘电力设备（GIPE）的运行状态，这为推动环保、低碳能源电力系统建设提供了技术支持。在本文中，我们提出了一种硅噪声抑制光纤增强拉曼光谱（FERS）技术，并设计了用于动态检测多种CFO分解气体的FERS传感系统。受益于有效的混合硅噪声滤波技术，FERS的光谱噪声可被抑制90%，系统检测灵敏度可提高4.22倍。利用一根2米长的反谐振空心光纤，在激光功率200毫瓦、压力0.5兆帕和测量时间120秒的条件下，该系统对CF和CO的检测限分别达到1.34和1.44 ppmv。随后，结合样气和密度泛函理论模拟，确定了用于CFO分解气体定量分析的特征峰位置如下：CF：906厘米，CO：1388厘米，CFO：759厘米，CFO：965厘米，CFH：1117厘米，CF：517厘米，CF：807厘米，CF：767厘米，CF：780厘米，CFH：857厘米，CF：770厘米。最后，该传感系统以2小时的测量间隔对CFO GIPE的局部放电分解气体进行了5天的动态测量。获得了CFO以及分解气体CF、CO、CF和CFH的含量变化趋势。这些结果充分证明了FERS技术动态检测CFO GIPE分解气体的能力。
