Development of Oxygen Sensor in Humid Hydrogen Background based on Metal Oxide Sensor and Machine Learning Algorithm

Recently, global interest in renewable, eco-friendly energy systems has increased. However, the only way to produce hydrogen without pollution is the electrolysis of water. In that case, hydrogen and oxygen can be mixed. Even a small spark can easily combust the mixture of hydrogen and oxygen, so pr...

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Bibliographic Details
Published in2023 IEEE Nanotechnology Materials and Devices Conference (NMDC) pp. 150 - 151
Main Authors Kwon, Yeongjae, Park, Inkyu
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.10.2023
Subjects
Hydrogen
Machine learning algorithms
Metals
Oxygen
Renewable energy sources
Sparks
Water pollution
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Summary:Recently, global interest in renewable, eco-friendly energy systems has increased. However, the only way to produce hydrogen without pollution is the electrolysis of water. In that case, hydrogen and oxygen can be mixed. Even a small spark can easily combust the mixture of hydrogen and oxygen, so precise oxygen monitoring is necessary. Because there was no sensor operating in such conditions, here we applied a room-temperature photo-activated metal oxide gas sensor operating in a pure hydrogen environment and assessed the characteristic of the sensor. Moreover, we made a machine learning algorithm to shorten the detection time of the sensor and to identify the concentration of oxygen.
ISSN:2473-0718
DOI:10.1109/NMDC57951.2023.10343681