Title :
SiC — FET based SO2 sensor for power plant emission applications
Author :
Darmastuti, Z. ; Bur, C. ; Moller, P. ; Lindqvist, N. ; Andersson, Mats ; Schutze, Andreas ; Lloyd Spetz, A.
Author_Institution :
Dept. of Phys., Chem., & Biol., Linkoping Univ., Linkoping, Sweden
Abstract :
Large combustion power plants produce significant amount of SO2 and it is important to have good sensors to be able to control and optimize the efficiency of the desulphurization units. Static operation showed insufficient to provide good quantification of SO2 concentration, and therefore dynamic operation with temperature cycling is studied. The data are analyzed with Linear Discriminant Analysis (LDA) and Partial Least Square (PLS) Regression. SO2 quantification can be achieved with LDA, even when the oxygen background concentration changes from 4-10%.
Keywords :
field effect transistors; gas sensors; least squares approximations; power plants; regression analysis; silicon compounds; sulphur compounds; wide band gap semiconductors; SO2; SO2 sensors; SiC; SiC-FET; desulphurization; dynamic operation; large combustion power plants; linear discriminant analysis; oxygen background concentration; partial least square regression; power plant emission applications; static operation; temperature cycling; Combustion; Logic gates; Power generation; Surface cleaning; Temperature measurement; Temperature sensors; Pt; SO2 sensors; SiC-FET; power plants; temperature cycled operation (TCO);
Conference_Titel :
Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS & EUROSENSORS XXVII), 2013 Transducers & Eurosensors XXVII: The 17th International Conference on
Conference_Location :
Barcelona
DOI :
10.1109/Transducers.2013.6626976