The Molecular Dynamics of Signature Gas Diffusions in Synthetic-Ester-Based Oil Under a Range of Thermal Conditions

Liping Guo, Hongliang Wang, Weiwei Qi, Jun Zhang and Wu Lu ()
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Liping Guo: Shanghai Electric Transmission and Distribution Experimental Center Co., Ltd., Shanghai 200072, China
Hongliang Wang: Shanghai Electric Transmission and Distribution Experimental Center Co., Ltd., Shanghai 200072, China
Weiwei Qi: College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Jun Zhang: College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Wu Lu: College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Energies, 2025, vol. 18, issue 13, 1-13

Abstract: Synthetic ester insulating oils are extensively utilized in power transformers due to their exceptional insulating properties, thermal stability, and environmental compatibility. The dissolved gas analysis (DGA) technique, which is employed to diagnose internal faults in transformers by monitoring the concentration and composition of dissolved gases in oil, is thought to be effective in detecting typical faults such as overheating and partial discharges in synthetic esters. However, owing to the significant differences in the properties of traditional mineral oil and synthetic esters, the existing DGA-based diagnostic methods developed for mineral oils cannot be directly applied to synthetic esters. A deep understanding of the microscopic processes occurring during the gas generation and diffusion of synthetic esters is an urgent necessity for DGA applications. Therefore, in this study, we systematically investigated the diffusion behavior of seven typical fault gases in synthetic ester insulating oils within a temperature range of 343–473 K using molecular dynamics simulations. The results demonstrate that H 2 exhibits the highest diffusion capability across all temperatures, with a diffusion coefficient of 33.430 × 10 −6 cm 2 /s at 343 K, increasing to 402.763 × 10 −6 cm 2 /s at 473 K. Additionally, this paper explores the microscopic mechanisms underlying the diffusion characteristics of these characteristic gases by integrating the Free-Volume Theory, thereby providing a theoretical foundation for refining the fault gas analysis methodology for transformer insulating oils.

Keywords: synthetic ester; dissolved gas analysis; molecular dynamics; diffusion coefficient; free volume (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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