Broadband chemical species tomography: Measurement theory and a proof-of-concept emission detection experiment. (September 2017)

• Record Type: Journal Article
• Authors: Grauer, Samuel J.; Tsang, Roger W.; Daun, Kyle J.
• Is Part Of: Journal of quantitative spectroscopy & radiative transfer. Volume 198(2017)
• Page Start: 145
• Page End: 154
• Publication Date: 2017-09
• Subjects: Emissions detection -- Fugitive emissions -- Tomography -- Broadband tomography -- Inverse analysis; Spectrum analysis -- Periodicals; Radiation -- Periodicals; Analyse spectrale -- Périodiques; Rayonnement -- Périodiques; Radiation; Spectrum analysis; Periodicals; 543.0858
• DOI: 10.1016/j.jqsrt.2017.04.030
• Languages: English
• ISSNs: 0022-4073

Abstract

Highlights: A broadband measurement model is developed for chemical species tomography. Transfer functions map broadband transmittances to a path-integrated concentration. A system of open-path broadband infrared detectors was constructed and calibrated. Target gasses in this study are methane, ethylene, and propane. The first broadband CST experiment is reported, featuring a propane plume source. Abstract: This work introduces broadband-absorption based chemical species tomography (CST) as a novel approach to reconstruct hydrocarbon concentrations from open-path attenuation measurements. In contrast to monochromatic CST, which usually involves solving a mathematically ill-posed linear problem, the measurement equations in broadband CST are nonlinear due to the integration of the radiative transfer equation over the detection spectrum. We present a transfer function that relates broadband transmittances to a path-integrated concentration, suitable for tomographic reconstruction, and use a Bayesian reconstruction technique that combines the measurement data with a priori assumptions about the spatial distribution of the target species. The technique is demonstrated by reconstructing a propane plume, and validating the results by point concentration measurements made with a flame ionization detector.