%0 Journal Article
%A de Oliveira, Mona Lisa Moura
%A Moreno-Tost, R.
%A Silva, Carla M.
%A Farias, Tiago L.
%A Rodriguez-Castellon, E.
%A Jimenez-Lopez, A.
%D 2009
%I Begell House
%K diesel, vehicle, SCR-NOx, NH3, N2O, catalysts, zeolites
%N 1-4
%P 103-120
%R 10.1615/InterJEnerCleanEnv.v10.i1-4.60
%T DIESEL EXHAUST EMISSION CONTROL BY SELECTIVE CATALYTIC REDUCTION OF NOX WITH AMMONIA ON METAL/ZEOLITE CATALYSTS
%U https://www.dl.begellhouse.com/journals/6d18a859536a7b02,4a318d3b4457f488,7473cd662e59c1db.html
%V 10
%X 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.
%8 2011-07-06