Abstract
Iron-catalysts, based on ZSM-5 (FeZSM5) and Cuban natural Mordenite (FeMORD) zeolites have been prepared by a conventional ion-exchange method and their catalytic activity in the selective catalytic reduction (SCR) of NO with ammonia was studied in the presence of H 2O and SO 2. A commercial SCR catalyst (CATCO) based on V 2O 5–WO 3–TiO 2, was also studied as a reference. This paper presents the experimental results of using these catalysts without toxic vanadium and also exploits a neural network-based approach to predict NO x conversion efficiency of three SCR catalysts. The mathematical functions derived have been integrated into a numerical model to simulate diesel road vehicles equipped with SCR catalysts such as those studied here. The main results indicate that despite toxic vanadium and N 2O formation, CATCO shows better NO x conversion efficiencies. However, FeMORD does not produce N 2O and performs better than the FeZSM5. The simulation results on real cycles show lower level of NO x for heavy-duty and light-duty diesel vehicles compared with homologation load cycles.
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