Mid Sweden University

miun.sePublications
System disruptions
We are currently experiencing disruptions on the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Environmental monitoring of methane utilizing multispectral NDIR gas sensing for compensation of spectral impact from water vapor in air
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. Senseair Ab, Delsbo, Sweden.ORCID iD: 0000-0002-8409-4803
Senseair Ab, Delsbo, Sweden.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. Senseair Ab, Delsbo, Sweden.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. Senseair Ab, Delsbo, Sweden.ORCID iD: 0000-0003-3769-8492
Show others and affiliations
2022 (English)In: Proceedings of IEEE Sensors, IEEE, 2022Conference paper, Published paper (Refereed)
Abstract [en]

A multispectral nondispersive infrared (NDIR) sensor was developed for simultaneous detection of methane and water vapor in air. The NDIR sensor is capable of measuring optic transmission in the CH4 absorption spectra at 3.375 μm and the H2O absorption spectra at 2.7 μm. Data from a third channel, 3.95 μm, is used as reference value for 'zero-level' calibration. The actual CH4 concentration is retrieved by adjusting the data obtained in the CH4 spectra with respect to the concentration sensed in the H2O spectra. A calibration procedure was developed and tested, which involves matching of the absorbed light energy in the CH4 and the H2O spectrum in humid reference environments. A compensation algorithm for elimination of humidity impact was developed and validated in environments with variable CH4 and H2O concentrations. By implementing the multispectral approach, and the developed algorithm, an uncertainty of 15-25 ppm relative the reference concentrations was achieved. For a concentration range valid for environmental monitoring applications this should be compared to an uncertainty of 180-200 ppm for the non-corrected CH4 concentration. 

Place, publisher, year, edition, pages
IEEE, 2022.
Keywords [en]
environmental, Methane, monitoring, NDIR
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-46751DOI: 10.1109/SENSORS52175.2022.9967115ISI: 000918629700098Scopus ID: 2-s2.0-85144029123ISBN: 9781665484640 (print)OAI: oai:DiVA.org:miun-46751DiVA, id: diva2:1722649
Conference
2022 IEEE Sensors Conference, SENSORS 2022, 30 October 2022 through 2 November 2022
Available from: 2022-12-30 Created: 2022-12-30 Last updated: 2023-03-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Gaynullin, BakhramHummelgård, ChristineRödjegård, HenrikMattsson, ClaesThungström, Göran

Search in DiVA

By author/editor
Gaynullin, BakhramHummelgård, ChristineRödjegård, HenrikMattsson, ClaesThungström, Göran
By organisation
Department of Electronics Design
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 125 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf