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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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Official URL: http://doi.org/10.1109/ICSENS.2017.8233907

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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)
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
Dates:
DateEvent
25 December 2017Published
1 September 2017Accepted
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:
Project/Grant IDRIOXX Funder NameFunder ID
EP/L018330/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
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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