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Issue title: The 6th International Multi-Conference on Engineering and Technology Innovation 2017 (IMETI2017)
Guest editors: Wen-Hsiang Hsieh
Article type: Research Article
Authors: Hu, Ming-Sen; *
Affiliations: Department of Aviation & Communication Electronics, Air Force Institute of Technology, Gang-Shan District, Kaohsiung City, Taiwan, R.O.C.
Correspondence: [*] Corresponding author. Ming-Sen Hu, Department of Aviation & Communication Electronics, Air Force Institute of Technology, No. 198, Jieshou West Road, Gang-Shan District, Kaohsiung City 820, Taiwan, R.O.C. E-mail: mshu1227@gmail.com.
Abstract: The chemical compound NOx is one of the biggest sources of air pollution, and presently Selective Catalytic Reduction (SCR) is the most frequently used method to dispose of NOx. A proportion of NH3 as a reducer is injected into the system and mixed with the NOx waste gas so as to be treated thoroughly. With sufficient O2, NOx is reduced to innocuous N2 and H2O by the catalytic reduction of the catalyst. The purpose of this study is to develop a monitoring system for blending the mixing ratio and concentration of NO automatically and for SCR catalyst De-NOx performance test analysis. This monitoring system enables the user to set various control parameters and instrument parameters, executes user calibration operations (e.g. zero calibration, full scale calibration and low concentration calibration), and tests the De-NOx performance of the plate type catalyst. In the catalyst De-NOx performance testing process, the system prepares the NO mixing ratio and concentration automatically according to the blending concentration and temperature control curves set by the user and then implements the catalyst bed multi-stage temperature control, so as to complete NO or NH3 concentration detection and automatic data logging as the base of De-NOx performance test analysis.
Keywords: Nitrogen oxides, selective catalytic reduction, De-NOx performance, automatic control system
DOI: 10.3233/JIFS-169896
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 2, pp. 1231-1244, 2019
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