摘要：AbstractOne of the effective devices to reduce NOxin power plants is the ammonia based selective catalyst reduction (SCR) system. In this paper, kinetic SCR model simulator is tuned and validated with representative site data from an actual combined-cycle power plant. This simulator is then used for the development and implementation of model predictive control (MPC) for SCR systems to control the plant startup NOxemissions along with maintaining ammonia slip within the acceptable limit. Also, the results of linear and nonlinear MPC are compared. The startup NOxreduction obtained in both cases is seen to be close to ~85%, but the computational effort required for both these approaches differ significantly.
关键词：KeywordsMultivariable controlmodel predictive controlcombined cycle power plantselective catalyst reductionmodel validationlinearizationemissions control
