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Tuning operational conditions for efficient NOx storage and reduction over a Pt–Ba/Al2O3 monolith catalyst

Paper ID Volume ID Publish Year Pages File Format Full-Text
47378 46470 2010 9 PDF Available
Title
Tuning operational conditions for efficient NOx storage and reduction over a Pt–Ba/Al2O3 monolith catalyst
Abstract

A well-controlled homemade Pt–BaO/Al2O3 monolith catalyst has been used for tuning the operational conditions at which the NOx storage and reduction (NSR) of the lean-burn engine exhaust gases is achieved more efficiently. The following operational conditions have been analyzed: the duration of the lean (storage) period, and the reductant (H2) concentration and duration of the regeneration (rich) period. The storage pattern during the lean period is evaluated by the percentage of NOx stored or NOx trapping efficiency (ηT), and the performance during the rich period is evaluated by the NOx reduction conversion (XR) and the selectivity to nitrogen (SN2SN2). These three response variables have been integrated into the single parameter that we have named integral NSR efficiency (ɛNSR) of the whole NSR process, which represents the percentage of N2 produced at the reactor exit relative to the NOx fed to the reactor. The proposed graphical map consists of a series of ɛNSR-isocurves and allows predicting the NSR efficiency for any combination of the three studied operational conditions (CH2,tR,tL)(CH2,tR,tL). Such operational map shall also be useful to compare the global NSR behavior of commercial catalysts under real operating conditions.

Keywords
NSR; Efficiency; NOx; Storage; Reduction; Lean-burn engines; Monolith; Platinum; Barium
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Tuning operational conditions for efficient NOx storage and reduction over a Pt–Ba/Al2O3 monolith catalyst
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Publisher
Database: Elsevier - ScienceDirect
Journal: Applied Catalysis B: Environmental - Volume 96, Issues 3–4, 7 June 2010, Pages 329–337
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Catalysis
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us