Diffusion mechanism of dissolved gases in transformer mineral oil under furfural effect

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jia Tao, Xiongying Duan, Peng Yu, Xubin Li, Minfu Liao, Jinjin Li
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Abstract

Context

Dissolved gas analysis (DGA) technology is a crucial technique for evaluating the operational state of transformers by detecting characteristic gases dissolved in insulating oil. Notably, the aging of insulation paper generates both characteristic gases and furfural, which also dissolves into the oil. However, the influence of furfural on gas diffusion behavior remains unclear. This study systematically investigates the effects of different furfural concentrations (0%, 1%, 3%, and 5% by mass) on the diffusion behavior of characteristic gases in insulating oil using molecular dynamics (MD) simulations. By calculating diffusion coefficients, free volume, and interaction energies, the underlying microscopic mechanisms were revealed. The results indicate that increasing furfural content slightly raises the free volume of gas molecules, thereby facilitating gas diffusion. Furthermore, the binding energies between furfural and insulating oil, as well as between furfural and gas molecules, increase with furfural concentration—mainly due to van der Waals interactions between polar and non-polar molecules. This study provides theoretical insight into the diffusion behavior of characteristic gases in insulating oil containing furfural.

Methods

The MD simulations were conducted using Materials Studio 2023. The amorphous cell module was employed to construct insulating oil mixture models incorporating varying concentrations of furfural molecules, utilizing the COMPASS III force field. Simulation results yielded key parameters including the mean square displacement (MSD) of characteristic gas molecules and the fractional free volume (FFV) of the system. Intermolecular interaction energies were computed using a self-developed Perl script. The simulation results demonstrate that increasing furfural concentration in insulating oil significantly enhances the diffusion characteristics of dissolved gases at the molecular level.

糠醛作用下变压器矿物油中溶解气体的扩散机理
摘要溶解气体分析(DGA)技术是通过检测绝缘油中溶解的特征气体来评估变压器运行状态的关键技术。值得注意的是,绝缘纸的老化会产生特征气体和糠醛,糠醛也会溶解在油中。然而,糠醛对气体扩散行为的影响尚不清楚。本研究系统地研究了不同浓度的糠醛(0%、1%、3%和5%)对特征气体在绝缘油中的扩散行为的影响。通过计算扩散系数、自由体积和相互作用能,揭示了其微观机理。结果表明,糠醛含量的增加使气体分子的自由体积略有增加,有利于气体的扩散。此外,糠醛与绝缘油之间以及糠醛与气体分子之间的结合能随着糠醛浓度的增加而增加,这主要是由于极性分子与非极性分子之间的范德华相互作用。本研究为研究含糠醛绝缘油中特征气体的扩散行为提供了理论依据。方法采用Materials Studio 2023软件进行动力学模拟。利用COMPASS III力场,利用非晶态电池组件构建含有不同浓度糠醛分子的绝缘油混合物模型。仿真结果得到了系统的关键参数,包括特征气体分子的均方位移(MSD)和分数自由体积(FFV)。分子间相互作用能是用自己开发的Perl脚本计算的。仿真结果表明,增加绝缘油中糠醛的浓度,可显著增强绝缘油中溶解气体在分子水平上的扩散特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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