Modelling and simulation: implementing selective catalytic reduction catalyst for removal of nitrogen oxides from exhaust gas of combustion engines

Abstract

Selective catalytic reduction (SCR) catalyst is currently considered the most effective technology for high nitrogen oxides removal from exhaust gas of a diesel engine using ammonia as a reducing agent. To design an SCR catalyst, we require knowing the flow and reactive properties, geometric feature and thermal properties of the SCR catalyst. These properties can be described using partial differential equations (PDEs). PDEs can be solved by numerical methods. However, chemical reaction parameters from the reactive gases are unknown in PDEs. Therefore, the model cannot be solved unless the parameters are identified. Identification of reaction parameters in an SCR catalyst leads to a highly non-linear least squares problem. In this work, we solved this least squares problem for reaction parameters. Using these reaction parameters, the model was used to simulate the nitrogen oxides emission from an SCR catalyst.