GC
IndustriesEnergy & Chemicals
ManufacturerSCION Instruments
Importance of the Topic
Transformer insulating oils play a critical role in maintaining the reliability of power distribution systems. Under thermal or electrical stress, these oils decompose and generate dissolved gases. Monitoring the concentration of key gases provides an early warning of faults such as overheating, partial discharge or arcing, helping to prevent catastrophic transformer failures and prolong service life.
Objectives and Overview
This application note demonstrates the performance of headspace sampling for dissolved gas analysis in transformer oil according to ASTM D3612, method C. The study focuses on the extraction and quantification of hydrogen, oxygen, nitrogen, methane, carbon monoxide, carbon dioxide and C2 hydrocarbons using a SCION Transformer Oil Gas Analyser (TOGA) with headspace autosampler.
Methodology and Instrumentation
The analysis workflow involves the following steps:
- Sample preparation by transferring transformer oil into sealed headspace vials sparged with argon.
- Equilibration of dissolved gases into the vial headspace.
- Injection of headspace gas onto a short porous polymer precolumn, followed by a micro-packed carbon molecular sieve column and a SCION Molsieve column.
- Detection of hydrogen, oxygen and nitrogen using a thermal conductivity detector (TCD).
- Conversion of carbon monoxide and methane via a methaniser and detection by flame ionization detector (FID). Carbon dioxide and C2–C3 hydrocarbons are eluted from the polymer column to the FID.
Main Results and Discussion
Chromatograms obtained on both TCD and FID channels demonstrated baseline separation of all nine gases of interest. Repeatability was assessed through seven consecutive analyses of the same oil sample. Relative standard deviations (RSD) were as follows:
- Nitrogen: 2.7%
- Methane: 2.4%
- Carbon dioxide: 3.1%
Benefits and Practical Applications
The headspace GC method offers:
- Full separation and rapid analysis of key dissolved gases.
- High repeatability and conformity with international standards.
- Minimal sample handling and risk of contamination.
- Actionable data for transformer health monitoring and maintenance planning.
Instrumentation Used
- SCION 456 Gas Chromatograph equipped with TCD and FID detectors.
- Headspace autosampler in sample loop mode.
- Porous polymer precolumn and micro-packed spherical carbon molecular sieve column.
- SCION Molsieve column and onboard methaniser.
Future Trends and Applications
Advances in transformer oil gas analysis may include miniaturized or portable headspace-GC systems for field testing, integration with real-time monitoring and data analytics platforms, and coupling with mass spectrometry for enhanced sensitivity and identification of trace species. Digital transformation and Internet-of-Things connectivity will further improve predictive maintenance strategies.
Conclusion
The SCION TOGA analyser with headspace sampling reliably meets ASTM D3612 requirements for dissolved gas analysis in transformer oil. It provides full separation, accurate quantification and excellent repeatability, supporting effective transformer condition monitoring and risk mitigation.
References
- ASTM D3612, Standard Test Methods for Dissolved Gases in Transformer and Switchgear Oils by Gas Chromatography.
- SCION Instruments Application Note AN0030: Transformer Oil Gas Analysis via Headspace Sampling.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.