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Mapping tracer gas concentrations using a modified Low Third Derivative method: numerical study
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building, Energy and Environmental Engineering, Energy system.ORCID iD: 0000-0003-2023-689x
2018 (English)In: The International Journal of Ventilation, ISSN 1473-3315, E-ISSN 2044-4044Article in journal (Refereed) Epub ahead of print
Abstract [en]

In indoor applications, computed tomography is the process of transforming a network of intersecting attenuation measurements into a spatially resolved two-dimensional concentration map. In this study the Low Third Derivative method (LTD) was numerically evaluated and optimized for different conditions. A modified version of the LTD algorithm (LTDm) was proposed and evaluated against the original version. Eight test maps were reconstructed under different conditions, such as weight ratio, pixel resolution, beam density and measurement noise. Performance of both LTD algorithms was found to be intimately related to the number of peaks and complexity in the test map and the steepness of the peaks. The LTDm algorithm improved the quality, especially for concentration maps including steep gradients and regions with very low concentrations. The LTDm method heavily lessened aliasing distortions and efficiently minimized the effects of noise.

Place, publisher, year, edition, pages
2018.
Keyword [en]
Computed tomography, numerical study, reconstruction algorithm, tracer gas distribution
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:hig:diva-26569DOI: 10.1080/14733315.2018.1462935Scopus ID: 2-s2.0-85045619672OAI: oai:DiVA.org:hig-26569DiVA, id: diva2:1205831
Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-06-05Bibliographically approved

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Cehlin, Mathias

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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