Title of article :
Simulation of SCR equipped vehicles using iron-zeolite catalysts Original Research Article
Author/Authors :
Mona Lisa Moura de Oliveira، نويسنده , , Carla Monteiro Silva، نويسنده , , Ramon Moreno-Tost، نويسنده , , Tiago Lopes Farias، نويسنده , , Antonio Jimenez Lopez، نويسنده , , Enrique Rodr?guez-Castell?n، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
9
From page :
13
To page :
21
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 H2O and SO2. A commercial SCR catalyst (CATCO) based on V2O5–WO3–TiO2, 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 NOx 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 N2O formation, CATCO shows better NOx conversion efficiencies. However, FeMORD does not produce N2O and performs better than the FeZSM5. The simulation results on real cycles show lower level of NOx for heavy-duty and light-duty diesel vehicles compared with homologation load cycles.
Keywords :
SCR , Zeolites , NOx , Neural networks , Road vehicle simulator , Diesel road vehicle
Journal title :
Applied Catalysis A:General
Serial Year :
2009
Journal title :
Applied Catalysis A:General
Record number :
1154088
Link To Document :
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