Title :
Study on gas sensing properties and mechanism of Ag-doped SnO2 gas sensor to H2
Author :
Lingfeng Jin ; Weigen Chen ; Shangyi Peng ; Qu Zhou
Author_Institution :
State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
Abstract :
H2 is one of the main fault characteristic gases dissolved in transformer oil, which can indicate the electric faults, such as high energy discharge, spark discharge and partial discharge, and partial oil overheating phenomenon. Detection the content of H2 has an important significance for transformer diagnosis and state assessment. Gas sensing detection technology is the core of online monitoring device. In this paper, for the detection of dissolved H2, based on the density functional theory and the first-principles, pure and Ag-doped SnO2 models and gas adsorption models were built, and theoretical calculations were conducted. Meanwhile, pure and Ag-doped SnO2 gas sensing materials were synthesized with hydrothermal method. Then SnO2 based gas sensors were fabricated and their gas sensing properties were measured. Finally, its gas sensing mechanism was discussed based on the macro gas sensing properties and micro simulating calculations. The results indicated that, Ag doping can improve the gas sensing properties of SnO2 nanostructures to H2, Ag doping sensor has better effect than pure sensor for H2 detection, such as a lower optimum operating temperature of 340 °C, lower detection limit of 10 μL/L with higher sensitivity. The role of the dopant of Ag into the SnO2 and the sensing mechanism had also been discussed in this work. The experimental results verifies the feasibility and accuracy of study the gas sensing performances of SnO2 based gas sensors using the first-principles calculation based on the density functional theory, further perfecting its gas sensing mechanism of SnO2 based gas sensor and providing us a fresh idea and feasible way to develop different kinds dopant of metal or metal-oxide gas sensors with high performances.
Keywords :
ab initio calculations; adsorption; chemical variables measurement; density functional theory; doping; gas sensors; hydrogen; nanosensors; nanostructured materials; silver; tin compounds; H2; SnO2:Ag; density functional theory; electric fault; energy discharge; first-principles calculation; gas adsorption model; hydrothermal method; macrogas sensing property; metal gas sensor; metal-oxide gas sensor; nanostructured material; online monitoring device; partial discharge; partial oil overheating phenomenon; spark discharge; temperature 340 degC; transformer oil; Heating; Mechanical factors; Monitoring; Surface waves; Temperature sensors; X-ray scattering; Ag-doped SnO2; detection characteristic; dissolved gas; gas sensor; sensing mechanism; transformer oil;
Conference_Titel :
Electrical Insulation Conference (EIC), 2015 IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4799-7352-1
DOI :
10.1109/ICACACT.2014.7223607