ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Energy Storage
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1615548
This article is part of the Research TopicExploring Material, Device, and System Advancements for Energy Storage and High-Voltage Electrical EngineeringView all articles
Study on the Photoacoustic Spectroscopy Measurement of Methane with Different Laser Bias DC Waveforms
Provisionally accepted
- 1State Grid Electric POWER Research Institute Wuhan NARI CO. Ltd,, Wuhan, China
- 2State Grid Corporation of China (SGCC), Beijing, Beijing Municipality, China
- 3Electric Power Science Research Institute State Grid Sichuan Electric Power Company, Chengdu, Sichuan Province, China
- 4Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
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In dissolved gas analysis of transformers, methane is one of the key indicators for fault diagnosis, thus accurate methane detection means a lot for early transformer failure caused by partial discharge or overheat. Photoacoustic Spectroscopy (PAS) combined with Tunable Diode Laser (TDL) as light source, is to provide high precision and selectivity in gas measurement, especially in conditions of trace gas measurement with limited light length and sample volume. By constructing an experimental platform, the intensity, linearity, and stability of photoacoustic signals under different bias DC waveforms (sawtooth wave, triangle wave, and sine wave) were compared and analyzed. The experimental results indicate that different bias DC waveforms have a significant impact on the photoacoustic signal. With sine wave configuration the system achieves the best measurement performance and accurate methane measurement (under 1.4s integrated time, the detection limit 0.2 ppm) and meets the requirement of on-line dissolved gas analysis (DGA) for transformers.
Keywords: Tunable laser, photoacoustic, Methane, Sine waveform, dissolved gas analysis
Received: 21 Apr 2025; Accepted: 20 May 2025.
Copyright: © 2025 Li, Chen, Wang, Qin, Zhou, Huang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Qiaohua Wang, Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
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