Pd-Doped SnO2-Based Sensor Detecting Characteristic Fault Hydrocarbon Gases in Transformer Oil
Joint Authors
Chen, Weigen
Gao, Tuoyu
Su, Xiaoping
Wan, Fu
Zhou, Qu
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-21
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Methane (CH4), ethane (C2H6), ethylene (C2H4), and acetylene (C2C2) are important fault characteristic hydrocarbon gases dissolved in power transformer oil.
Online monitoring these gaseous components and their generation rates can present the operational state of power transformer timely and effectively.
Gas sensing technology is the most sticky and tricky point in online monitoring system.
In this paper, pure and Pd-doped SnO2 nanoparticles were synthesized by hydrothermal method and characterized by X-ray powder diffraction, field-emission scanning electron microscopy, and energy dispersive X-ray spectroscopy, respectively.
The gas sensors were fabricated by side-heated preparation, and their gas sensing properties against CH4, C2H6, C2H4, and C2H2 were measured.
Pd doping increases the electric conductance of the prepared SnO2 sensors and improves their gas sensing performances to hydrocarbon gases.
In addition based on the frontier molecular orbital theory, the highest occupied molecular orbital energy and the lowest unoccupied molecular orbital energy were calculated.
Calculation results demonstrate that C2H4 has the highest occupied molecular orbital energy among CH4, C2H6, C2H4, and C2H2, which promotes charge transfer in gas sensing process, and SnO2 surfaces capture a relatively larger amount of electric charge from adsorbed C2H4.
American Psychological Association (APA)
Chen, Weigen& Zhou, Qu& Gao, Tuoyu& Su, Xiaoping& Wan, Fu. 2013. Pd-Doped SnO2-Based Sensor Detecting Characteristic Fault Hydrocarbon Gases in Transformer Oil. Journal of Nanomaterials،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031302
Modern Language Association (MLA)
Chen, Weigen…[et al.]. Pd-Doped SnO2-Based Sensor Detecting Characteristic Fault Hydrocarbon Gases in Transformer Oil. Journal of Nanomaterials No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1031302
American Medical Association (AMA)
Chen, Weigen& Zhou, Qu& Gao, Tuoyu& Su, Xiaoping& Wan, Fu. Pd-Doped SnO2-Based Sensor Detecting Characteristic Fault Hydrocarbon Gases in Transformer Oil. Journal of Nanomaterials. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1031302
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031302