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Protection of NOx Sensors from Sulfur Poisoning in Glass Furnaces by the Optimization of a 'SO2 Trap'

Authors :
Carole Naddour
Mathilde Rieu
Antoinette Boreave
Sonia Gil
Philippe Vernoux
Jean-Paul Viricelle
Source :
Sensors, Vol 23, Iss 19, p 8186 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Electrochemical NOx sensors based on yttria-stabilized zirconia (YSZ) provide a reliable onboard way to control NOx emissions from glass-melting furnaces. The main limitation is the poisoning of this sensor by sulfur oxides (SOx) contained in the stream. To overcome this drawback, an “SO2 trap” with high SOx storage capacity and low affinity to NOx is required. Two CuO/BaO/SBA-15 traps with the same CuO loading (6.5 wt.%) and different BaO loadings (5 and 24.5 wt.%, respectively) were synthetized, thoroughly characterized and evaluated as SO2 traps. The results show that the 6.5%CuO/5%BaO/SBA-15 trap displays the highest SO2 adsorption capacity and can fully adsorb SO2 for a specific period of time, while additionally displaying a very low NO adsorption capacity. A suitable quantity of this material located upstream of the sensor could provide total protection of the NOx sensor against sulfur poisoning in glass-furnace exhausts.

Details

Language :
English
ISSN :
14248220
Volume :
23
Issue :
19
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.1986f4c4775e44bd930cf70755e163ef
Document Type :
article
Full Text :
https://doi.org/10.3390/s23198186