The accurate and rapid measurement of NOx concentration is critical to reduce the NOx emission of flue gas and to increase the efficiency of de-NOx system in coal-fired power plant. The measurement delay is one of the key problems for measurement of NOx concentration in continuous emission monitoring systems (CEMS). Furthermore, CEMS is unable to make NOx concentration measurement during the purging process of the sampling tube from. Although soft sensor is an attractive delay-free and economical measurement approach for monitoring NOx concentration, its measurement accuracy is low. A fusion measurement method is proposed for the NOx concentration measurement of flue gas based on Kalman filter and data fusion techniques. Numerical simulations are carried out with real operation historical data in a coal-fired power plant to evaluate the performance of the proposed method. Results demonstrated that the fusion measurement method based on Kalman filter and data fusion techniques is capable of improving response time and measurement accuracy of NOx concentration.
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