Ammonia Measurement Investigation Using Quantum Cascade Laser and Two Different Fourier Transform Infrared Spectroscopy Methods

2020-01-0365

04/14/2020

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WCX SAE World Congress Experience
Authors Abstract
Content
Most diesel engine exhausts have been fitted with SCR (Selective Catalyst Reduction) in order to reduce NOX (Oxides of Nitrogen) by using NH3 (ammonia). However, both NOX and NH3 have been classified as compounds hazardous for the environment and human health. If the reaction between NOX and NH3 is unbalanced during treatment, it can lead to either NOX or NH3 being released into the environment. Accurate measurement is thus necessary. QCL (Quantum Cascade Laser) and FTIR (Fourier Transform InfraRed) are two methods that have been used to measure NH3 and NOX directly in diesel engine exhausts. However, only a few studies have compared those two methods of NH3 measurement, mainly from diesel engine exhausts. The aim of this paper is to compare the QCL and 2 different FTIR specifications for NH3 measurement directly from diesel engine exhausts under well-controlled laboratory conditions. Researchers have found that as NH3 is reactive, it is absorbed inside the exhaust pipe if the probe location is some distance away from the SCR. The results reported here contradict this and show that the probe location has only a small impact on NH3 measurement inside the exhaust pipe. Furthermore, both instruments gave comparable results with the necessary regulatory precision. The outcome from this paper will have an impact on the discipline of NH3 measurement and industry in the way NH3 from diesel engines is measured.
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DOI
https://doi.org/10.4271/2020-01-0365
Pages
7
Citation
Li, N., El-Hamalawi, A., Barrett, R., and Baxter, J., "Ammonia Measurement Investigation Using Quantum Cascade Laser and Two Different Fourier Transform Infrared Spectroscopy Methods," SAE Technical Paper 2020-01-0365, 2020, https://doi.org/10.4271/2020-01-0365.
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Publisher
Published
Apr 14, 2020
Product Code
2020-01-0365
Content Type
Technical Paper
Language
English