Issue 3, 2024

Degradation and adsorption of SF6 decomposition components using AlN nanocones: a combined DFT and ab initio molecular dynamics study

Abstract

Aluminum nitride nanocones (AlNNCs) are highly valuable for industrial applications due to their high surface area and chemical stability. In gas-insulated switchgear (GIS), SF6 decomposition produces byproducts like SO2, SOF2, and SO2F2, usually due to insulation flaws and partial discharge. Studying the removal of these byproducts is crucial for ensuring the reliability and security of electrical equipment, aiding in fault diagnosis and mitigating environmental impacts. This study uses a combination of Density Functional Theory (DFT) and Ab Initio Molecular Dynamics (AIMD) to investigate the adsorption and degradation of SO2, SOF2, and SO2F2 on the AlNNC. The selectivity of the three gases on AlNNCs is evaluated, and structural and electronic property analyses of the systems are conducted. Observations indicate that the sidewall of the AlNNC plays a significant role in adsorbing SO2 and degrading both SOF2 and SO2F2. In comparison to other gases, SO2F2 showcased the highest level of selectivity. The study revealed strong evidence of highly potent electron-donating properties from AlNNC complexes' sidewalls. This research provides valuable insights into the role of AlNNCs in mitigating SF6 decomposition byproducts. It aims to shed light on the potential application of AINNCs in improving the safety and sustainability of electric systems, as well as in developing more efficient control methods.

Graphical abstract: Degradation and adsorption of SF6 decomposition components using AlN nanocones: a combined DFT and ab initio molecular dynamics study

Supplementary files

Article information

Article type
Paper
Submitted
16 Oct 2023
Accepted
06 Dec 2023
First published
20 Dec 2023

Environ. Sci.: Nano, 2024,11, 1097-1113

Degradation and adsorption of SF6 decomposition components using AlN nanocones: a combined DFT and ab initio molecular dynamics study

M. H. Hadizadeh, Y. Hu, F. Xu and W. Wang, Environ. Sci.: Nano, 2024, 11, 1097 DOI: 10.1039/D3EN00735A

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