Supervisory control of a selective catalytic reactor for NOx removal in incineration plants

The purpose of this work is to present an industrial application of an optimization tool for the supervisory control of the NO_x reduction section. This work does not pretend to address any new technique of NO_x reduction but rather to show the results obtained when a comprehensive on-line optimization tool has been successfully applied. The optimization procedure consists of the search of the best working conditions that satisfy the operating and legal constraints, in terms of emission amounts and combustion quality. This procedure adopts a simulation algorithm and data reconciliation tool to verify and improve the consistency of the calculated values by experimental data. Using such algorithm it is possible to identify all the updated data necessary to optimize the plant's performance. Specifically, the DeNO_x section optimization, both from an economical and environmental point of view, is strongly related to the estimation of the nitrogen waste mass fraction together with the catalytic reactor efficiency. The results obtained in many case studies show that it is possible to achieve the desired performance and to reduce the operating costs by defining the optimal operating temperature and the corresponding amount of ammonia required for the catalytic reduction of NO_x subject to the emission limits. These tools were successfully tested on a municipal waste incineration plant.