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초록·키워드 목차

In the case of alkali recovery, it is difficult to measure with precision the NOx concentration at the output of the denitrification system. In order to solve this problem,variable adjustment experiments was carried out on the work site. According to the obtained modeling data, the least squares support vector machine (LSSVM) optimized by adaptive inertia weight particle swarm optimization (AIWPSO) was used to establish the NOx concentration model at the outlet of the SCR flue gas denitrification system in the alkali recovery section. Finally, comparing the model with the traditional mechanism model, the verification results show that the outlet NOx concentration model based on AIWPSO optimized LSSVM had the better fitting ability and error precision. #Alkali recovery boiler #SCR #Flue gas denitrification #LSSVM #AIWPSO

ABSTRACT
1. Introduction
2. Experimental Methods and Device
3. Results and Discussion
4. Conclusions
Literature Cited

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