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A Ni-Doped Carbon Nanotube Sensor for Detecting Oil-Dissolved Gases in Transformers.

Lu J, Zhang X, Wu X, Dai Z, Zhang J - Sensors (Basel) (2015)

Bottom Line: The gas-sensing properties of the sensor to C2H2, C2H4, and C2H6 were studied using the test device.The adsorption energy, charge transfer, and molecular frontier orbital of the adsorption system were also analyzed.Moreover, the doped Ni improved the sensor response, and the sensor response and gas concentration have a good linear relationship.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, China. jia-lun@163.com.

ABSTRACT
C2H2, C2H4, and C2H6 are important oil-dissolved gases in power transformers. Detection of the composition and content of oil-dissolved gases in transformers is very significant in the diagnosis and assessment of the state of transformer operations. The commonly used oil-gas analysis methods have many disadvantages, so this paper proposes a Ni-doped carbon nanotube (Ni-CNT) gas sensor to effectively detect oil-dissolved gases in a transformer. The gas-sensing properties of the sensor to C2H2, C2H4, and C2H6 were studied using the test device. Based on the density functional theory (DFT) the adsorption behaviors of the three gases on intrinsic carbon nanotubes (CNTs) and Ni-CNTs were calculated. The adsorption energy, charge transfer, and molecular frontier orbital of the adsorption system were also analyzed. Results showed that the sensitivity of the CNT sensor to the three kinds of gases was in the following order: C2H2 > C2H4 > C2H6. Moreover, the doped Ni improved the sensor response, and the sensor response and gas concentration have a good linear relationship.

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Structural model of oil-dissolved gases. (a) C2H2; (b) C2H4; (c) C2H6.
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sensors-15-13522-f007: Structural model of oil-dissolved gases. (a) C2H2; (b) C2H4; (c) C2H6.

Mentions: Fully optimized geometries and the properties of the systems were derived by DFT calculations in the generalized gradient approximation by using the DMol3 code with double-numerical polarized basis sets. The calculations were performed using the PBE [21] DFT. The structural models are shown in Figure 6 and Figure 7.


A Ni-Doped Carbon Nanotube Sensor for Detecting Oil-Dissolved Gases in Transformers.

Lu J, Zhang X, Wu X, Dai Z, Zhang J - Sensors (Basel) (2015)

Structural model of oil-dissolved gases. (a) C2H2; (b) C2H4; (c) C2H6.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507586&req=5

sensors-15-13522-f007: Structural model of oil-dissolved gases. (a) C2H2; (b) C2H4; (c) C2H6.
Mentions: Fully optimized geometries and the properties of the systems were derived by DFT calculations in the generalized gradient approximation by using the DMol3 code with double-numerical polarized basis sets. The calculations were performed using the PBE [21] DFT. The structural models are shown in Figure 6 and Figure 7.

Bottom Line: The gas-sensing properties of the sensor to C2H2, C2H4, and C2H6 were studied using the test device.The adsorption energy, charge transfer, and molecular frontier orbital of the adsorption system were also analyzed.Moreover, the doped Ni improved the sensor response, and the sensor response and gas concentration have a good linear relationship.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing 400044, China. jia-lun@163.com.

ABSTRACT
C2H2, C2H4, and C2H6 are important oil-dissolved gases in power transformers. Detection of the composition and content of oil-dissolved gases in transformers is very significant in the diagnosis and assessment of the state of transformer operations. The commonly used oil-gas analysis methods have many disadvantages, so this paper proposes a Ni-doped carbon nanotube (Ni-CNT) gas sensor to effectively detect oil-dissolved gases in a transformer. The gas-sensing properties of the sensor to C2H2, C2H4, and C2H6 were studied using the test device. Based on the density functional theory (DFT) the adsorption behaviors of the three gases on intrinsic carbon nanotubes (CNTs) and Ni-CNTs were calculated. The adsorption energy, charge transfer, and molecular frontier orbital of the adsorption system were also analyzed. Results showed that the sensitivity of the CNT sensor to the three kinds of gases was in the following order: C2H2 > C2H4 > C2H6. Moreover, the doped Ni improved the sensor response, and the sensor response and gas concentration have a good linear relationship.

No MeSH data available.


Related in: MedlinePlus