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Pt Cluster Modified h-BN for Gas Sensing and Adsorption of Dissolved Gases in Transformer Oil: A Density Functional Theory Study
Hexagonal-Boron nitride nanotubes (h-BN) decorated with transition metals have been widely studied due to their enhanced physicochemical properties. In this paper, Pt cluster-modified h-BN is proposed as a sensitive material for a novel gas sensor for the online malfunction monitoring of oil-immerse...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955762/ https://www.ncbi.nlm.nih.gov/pubmed/31817995 http://dx.doi.org/10.3390/nano9121746 |
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author | Gui, Yingang Li, Tao He, Xin Ding, Zhuyu Yang, Pingan |
author_facet | Gui, Yingang Li, Tao He, Xin Ding, Zhuyu Yang, Pingan |
author_sort | Gui, Yingang |
collection | PubMed |
description | Hexagonal-Boron nitride nanotubes (h-BN) decorated with transition metals have been widely studied due to their enhanced physicochemical properties. In this paper, Pt cluster-modified h-BN is proposed as a sensitive material for a novel gas sensor for the online malfunction monitoring of oil-immersed transformers. The inner oil is ultimately decomposed to various gases during the long-term use of oil-immersed transformers. Exposure to excessively high temperatures produces the alkanes CH(4) and C(2)H(6), whereas different degrees of discharge generate H(2) and C(2)H(2). Therefore, the identification of H(2), CH(4,) and C(2)H(2) gas efficiently measures the quality of transformers. Based on the density functional theory, the most stable h-BN doped with 1–4 Pt atoms is employed to simulate its adsorption performance and response behavior to these typical gases. The adsorption energy, charge transfer, total density of states, projected density of states, and orbital theory of these adsorption systems are analyzed and the results show high consistency. The adsorption ability for these decomposition components are ordered as follows: C(2)H(2) > H(2) > CH(4). Pt cluster-modified h-BN shows good sensitivity to C(2)H(2), H(2), with decreasing conductivity in each system, but is insensitive to CH(4) due to its weak physical sorption. The conductivity change of Pt(n)-h-BN is considerably larger upon H(2) than that upon C(2)H(2), but is negligible upon CH(4). Our calculations suggest that Pt cluster modified h-BN can be employed in transformers to estimate their operation status. |
format | Online Article Text |
id | pubmed-6955762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69557622020-01-23 Pt Cluster Modified h-BN for Gas Sensing and Adsorption of Dissolved Gases in Transformer Oil: A Density Functional Theory Study Gui, Yingang Li, Tao He, Xin Ding, Zhuyu Yang, Pingan Nanomaterials (Basel) Article Hexagonal-Boron nitride nanotubes (h-BN) decorated with transition metals have been widely studied due to their enhanced physicochemical properties. In this paper, Pt cluster-modified h-BN is proposed as a sensitive material for a novel gas sensor for the online malfunction monitoring of oil-immersed transformers. The inner oil is ultimately decomposed to various gases during the long-term use of oil-immersed transformers. Exposure to excessively high temperatures produces the alkanes CH(4) and C(2)H(6), whereas different degrees of discharge generate H(2) and C(2)H(2). Therefore, the identification of H(2), CH(4,) and C(2)H(2) gas efficiently measures the quality of transformers. Based on the density functional theory, the most stable h-BN doped with 1–4 Pt atoms is employed to simulate its adsorption performance and response behavior to these typical gases. The adsorption energy, charge transfer, total density of states, projected density of states, and orbital theory of these adsorption systems are analyzed and the results show high consistency. The adsorption ability for these decomposition components are ordered as follows: C(2)H(2) > H(2) > CH(4). Pt cluster-modified h-BN shows good sensitivity to C(2)H(2), H(2), with decreasing conductivity in each system, but is insensitive to CH(4) due to its weak physical sorption. The conductivity change of Pt(n)-h-BN is considerably larger upon H(2) than that upon C(2)H(2), but is negligible upon CH(4). Our calculations suggest that Pt cluster modified h-BN can be employed in transformers to estimate their operation status. MDPI 2019-12-08 /pmc/articles/PMC6955762/ /pubmed/31817995 http://dx.doi.org/10.3390/nano9121746 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gui, Yingang Li, Tao He, Xin Ding, Zhuyu Yang, Pingan Pt Cluster Modified h-BN for Gas Sensing and Adsorption of Dissolved Gases in Transformer Oil: A Density Functional Theory Study |
title | Pt Cluster Modified h-BN for Gas Sensing and Adsorption of Dissolved Gases in Transformer Oil: A Density Functional Theory Study |
title_full | Pt Cluster Modified h-BN for Gas Sensing and Adsorption of Dissolved Gases in Transformer Oil: A Density Functional Theory Study |
title_fullStr | Pt Cluster Modified h-BN for Gas Sensing and Adsorption of Dissolved Gases in Transformer Oil: A Density Functional Theory Study |
title_full_unstemmed | Pt Cluster Modified h-BN for Gas Sensing and Adsorption of Dissolved Gases in Transformer Oil: A Density Functional Theory Study |
title_short | Pt Cluster Modified h-BN for Gas Sensing and Adsorption of Dissolved Gases in Transformer Oil: A Density Functional Theory Study |
title_sort | pt cluster modified h-bn for gas sensing and adsorption of dissolved gases in transformer oil: a density functional theory study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6955762/ https://www.ncbi.nlm.nih.gov/pubmed/31817995 http://dx.doi.org/10.3390/nano9121746 |
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