Abstract
Most electric power companies in Japan are installing the SCR system for NOx emissions. While these systems are effective, control and maintenance problems often result in excess reagent ammonia (NH3) usage and NH3 slip. The delay in the NOx signal from the stack causes inaccurate NH3 injection resulting in poor NOx control. This paper discusses significant aspects of the technical and economic evaluation by the desktop simulation using data from the historical database in the GTCC plant computers. The significant merits of the proposed predictive control is that the multi-step ahead predictor is formulized as a nonlinear version based on the RBF-type ARX models. The RBF-type ARX model-based predictive control is one of solutions for the SCR for the GTCC optimization.
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