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Prediction of impurities in hydrogen fuel supplies using a thermally-modulated CMOS gas sensor : experiments and modelling
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Xing, Wei, Shah, Akeel A., Urasinska-Wojcik, Barbara and Gardner, J. W. (2017) Prediction of impurities in hydrogen fuel supplies using a thermally-modulated CMOS gas sensor : experiments and modelling. In: 2017 IEEE Sensors, Glasgow, UK, 29 Oct-1 Nov 2017. Published in: Sensors, 2017 IEEE pp. 1-3. ISSN 1930-0395. doi:DOI: 10.1109/ICSENS.2017.8233907
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WRAP-prediction-impurities-hydrogen-fuel-supplies-Shah-2017.pdf - Accepted Version - Requires a PDF viewer. Download (883Kb) | Preview |
Official URL: http://doi.org/10.1109/ICSENS.2017.8233907
Abstract
We report here on the results of a study on the response of copper oxide based low-power MEMS thermally modulated gas sensor to low ppm levels of hydrogen sulphide (H2S) in a hydrogen environment. It was found that by using this material with a method of transient frequency analysis, this resistive gas sensor can operate reliably in a harsh environment including hydrogen atmosphere and high humidity levels. We implemented a Bayesian method for data analysis to predict the concentration of H2S in hydrogen supplies used in fuel cells.
| Item Type: | Conference Item (Paper) | ||||||
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| Subjects: | T Technology > TP Chemical technology | ||||||
| Divisions: | Faculty of Science > Engineering | ||||||
| Library of Congress Subject Headings (LCSH): | Gas detectors, Hydrogen as fuel, Metallic oxides, Copper oxide, Hydrogen sulphide | ||||||
| Journal or Publication Title: | Sensors, 2017 IEEE | ||||||
| Publisher: | IEEE | ||||||
| ISSN: | 1930-0395 | ||||||
| Official Date: | 25 December 2017 | ||||||
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| Page Range: | pp. 1-3 | ||||||
| DOI: | DOI: 10.1109/ICSENS.2017.8233907 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| RIOXX Funder/Project Grant: |
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| Conference Paper Type: | Paper | ||||||
| Title of Event: | 2017 IEEE Sensors | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Glasgow, UK | ||||||
| Date(s) of Event: | 29 Oct-1 Nov 2017 | ||||||
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