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Computed Tomography for Indoor Applications
University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för energi- och maskinteknik. (Energi)ORCID iD: 0000-0003-2023-689X
University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för inomhusmiljö.
2006 (English)In: The International Journal of Ventilation, ISSN 1473-3315, E-ISSN 2044-4044, Vol. 4, no 4, p. 349-364Article in journal (Other academic) Published
Abstract [en]

This paper deals with tomographic techniques for two-dimensional spatially resolved concentration measurements indoors. This represents a significant advance over the traditional point measuring method for mapping tracer gas and pollutants. Methods for recording of data are stressed as well as different types of tomographic reconstruction algorithms such as the Smooth Basis Function Minimization (SBFM) and the modified Low Third Derivative (LTDm) methods. Among the reconstruction algorithms available today, SBFM and LTDm are among the most promising. These algorithms show potential for reconstruction of gas concentration in rooms, since they are regularized to converge towards smooth concentration distributions. Using the LTD method and ‘snapshot’ configuration enables the examination and real-time monitoring of transient flows.

Place, publisher, year, edition, pages
2006. Vol. 4, no 4, p. 349-364
Keyword [en]
tomographic reconstruction algorithms, pollution distribution monitoring, laser scanning
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:hig:diva-10636Scopus ID: 2-s2.0-33645092894OAI: oai:DiVA.org:hig-10636DiVA, id: diva2:445236
Available from: 2011-10-03 Created: 2011-10-03 Last updated: 2018-03-13Bibliographically approved

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Cehlin, MathiasSandberg, Mats

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Ämnesavdelningen för energi- och maskinteknikÄmnesavdelningen för inomhusmiljö
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