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

Journal of Nanomaterials

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

Chemistry
Civil Engineering

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