IFAC-PapersOnLine · 2015 · 14 citations · 15 references
EngineeringChemical EngineeringEnvironmental ControlProcess ControlProcess Systems EngineeringAmmonia ControlChemical Kinetics ModelingEnergy Management SystemsIndustrial Catalytic ProcessesModel Predictive ControlReactor ModelingAmmonia SlipAmmonia Slip ControlCatalyst ReductionCombined Cycle Power PlantsEmissions ControlEmissions ModelingModel Predictive Control SimulationOptimal Injection Strategy
One of the effective devices to reduce NO x in 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 NO x emissions along with maintaining ammonia slip within the acceptable limit. Also, the results of linear and nonlinear MPC are compared. The startup NO x reduction obtained in both cases is seen to be close to ~85%, but the computational effort required for both these approaches differ significantly.
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