Abstract

Abstract. In this paper, we present an optimized analysis algorithm for non-dispersive infrared (NDIR) to in situ monitor stack emissions. The proposed algorithm simultaneously compensates for nonlinear absorption and cross interference among different gases. We present a mathematical derivation for the measurement error caused by variations in interference coefficients when nonlinear absorption occurs. The proposed algorithm is derived from a classical one and uses interference functions to quantify cross interference. The interference functions vary proportionally with the nonlinear absorption. Thus, interference coefficients among different gases can be modeled by the interference functions whether gases are characterized by linear or nonlinear absorption. In this study, the simultaneous analysis of two components (CO2 and CO) serves as an example for the validation of the proposed algorithm. The interference functions in this case can be obtained by least-squares fitting with third-order polynomials. Experiments show that the results of cross interference correction are improved significantly by utilizing the fitted interference functions when nonlinear absorptions occur. The dynamic measurement ranges of CO2 and CO are improved by about a factor of 1.8 and 3.5, respectively. A commercial analyzer with high accuracy was used to validate the CO and CO2 measurements derived from the NDIR analyzer prototype in which the new algorithm was embedded. The comparison of the two analyzers show that the prototype works well both within the linear and nonlinear ranges.

Highlights

  • Hydrology and Earth System efficients when nonlinear absorption occurs

  • An non-dispersive infrared (NDIR) analyzer with a constant path length exhibits nonlinear absorption if the gas concentrations go beyond a restricted range, resulting in the variation of the interference coefficients with the interfering gas concentration

  • When the analyzer exhibits nonlinear absorption, the interference coefficient determined by interference function varies correspondingly

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Summary

Introduction

Hydrology and Earth System efficients when nonlinear absorption occurs. The proposed algorithm is derived from a classical one and uses interference functions to quantify cross interference. The cross interference can be corrected effectively by just using the interference constants (Dirk et al, 2009; Heusinkveld et al, 2008) In this case, each gas can be measured with high accuracy. A specified NDIR analyzer, which has a constant optical path length, exhibits nonlinear absorption (i.e., measurement is no longer linear to the absorption) if gas concentrations are too high (Andre et al, 1985). In this case, the channel-to-channel interference coefficient is no longer a constant. The dynamic measurement range of an NDIR analyzer can be expanded by correcting the cross interference and nonlinear absorption. Laboratory and field experiments were preformed to test the algorithm

Classical algorithm and error analysis
An optimized algorithm
Apparatuses
Field applications
Figures 14 and 15 show the correlation between the CO2 and CO measured
Findings
Conclusions
Full Text
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