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International Journal of Energy for a Clean Environment

ISSN Print: 2150-3621
ISSN Online: 2150-363X

International Journal of Energy for a Clean Environment

Formerly Known as Clean Air: International Journal on Energy for a Clean Environment

DOI: 10.1615/InterJEnerCleanEnv.v10.i1-4.60
pages 103-120

DIESEL EXHAUST EMISSION CONTROL BY SELECTIVE CATALYTIC REDUCTION OF NOX WITH AMMONIA ON METAL/ZEOLITE CATALYSTS

Mona Lisa Moura de Oliveira
Universidade de Fortaleza (UNIFOR)
Fortaleza - Brazil
R. Moreno-Tost
Universidad de Malaga, Departamento de Química Inorgánica — Campus Teatinos, 29071, Málaga, Spain
Carla M. Silva
IDMEC-Institute of Mechanical Engineering, Instituto Superior Tecnico, Technical University of Lisbon, Av. Rovisco Pais, 1049-001, Lisbon, Portugal
Tiago L. Farias
IDMEC-Institute of Mechanical Engineering, Instituto Superior Tecnico, Technical University of Lisbon, Av. Rovisco Pais, 1049-001, Lisbon, Portugal
E. Rodriguez-Castellon
Universidad de Malaga, Departamento de Quimica Inorgánica — Campus Teatinos, 29071, Málaga, Spain
A. Jimenez-Lopez
Universidad de Malaga, Departamento de Quimica Inorgánica — Campus Teatinos, 29071, Málaga, Spain

ABSTRACT

The heavy-duty diesel (HDD) and light-duty diesel (LDD) have been required to meet diesel mission standards that will become mandatory worldwide in the next few years (i.e., Euro 6 for Europe and Tier 2 for USA light-duty vehicles). Currently, selective catalytic reduction (SCR) of NOx, with urea (commercially known as AdBlue) as a reducing agent, has been employed in the NOx emission control of HDD. The commercial catalyst used is based on V2O5-WO3-TiO2, but the V2O5 must be replaced because of its toxicity. Catalysts based on metal-exchanged zeolite have been widely studied due to their high catalytic activity and stability for SCR- NOx. The catalysts, based on the ZSM-5 zeolite (CuZSM5 and FeZSM5) and Cuban natural mordenite (CuMORD), have been prepared by a conventional ion-exchange method and tested in the SCR of NOx with ammonia in presence of water vapor and SO2. This paper deals with these experimental results and will exploit a neural network based on the approach to predict the NO conversion efficiency of a commercial catalyst and implement the derived mathematical function into a numerical model for diesel road vehicle simulation. Light-duty and heavy-duty vehicles are going to be simulated in both congested and noncongested roads to analyze the SCR system behavior in such conditions.