Abstract
Many electric power companies in Japan are installing the SCR ( Selective Catalytic Reduction) system for reduction of NOx(Nitrogen Oxide) emissions. While these systems are effective, control and maintenance problems often result in higher reagent ammonia (NH3) usage and NH3 slip due to a long time delay in the NOx signal from the stack and the nonlinearity of the process. This paper discusses significant aspects of the technical and economic evaluation by desktop simulation. The significant advantages of the proposed predictive control for the nonlinear process are that the multi-step ahead predictor is formulized as a nonlinear version of future control based on the RBF-type ARX models. The RBF-type ARX model-based predictive control is one of solutions for the SCR at the GTCC optimization and control. The benefits of the proposed solution are qualified in both economic and environmental terms.
