Influence of Sulfur Concentration in Gasoline on NOx Storage - Reduction Catalyst

Asanuma, Takamitsu; Takeshima, Shinichi; Yamashita, Toru; Tanaka, Toshiaki; Murai, Toshimi; Iguchi, Satoshi

doi:10.4271/1999-01-3501

Cited by 35 publications

(6 citation statements)

References 3 publications

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“…In addition, the sample has been pretreated under quite mild conditions (700 °C), which will not cause the particles to sinter. Asanuma et al 33 measured sulfate particles from an aged lean NO x trap, using X-ray diffraction (XRD), and concluded that, when using a maximum of 30 ppm sulfur, the sulfate particle size was <10 nm. Small particles for the storage component were also observed by Nakatani et al, 34 using transmission electron microscopy (TEM) on a diesel particulate-NO x reduction (DPNR) catalyst.…”

Section: Resultsmentioning

confidence: 99%

Global Kinetic Modelling of a Supplier Barium- and Potassium-Containing Lean NO_x Trap

Olsson

Monroe

Blint

2006

Ind. Eng. Chem. Res.

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Kinetic modeling, in combination with flow reactor experiments, was used in this study to simulate a supplier lean NO x trap (LNT). The LNT catalyst used is a commercial catalyst that contains barium and potassium as storage components. The results presented in this paper are a continuation of a previous study, where a global kinetic model for NO x storage was developed for a model Pt/Rh/BaO/Al2O3 catalyst. In this work, a simplified model is used, where NO oxidation, nitrite, and nitrate formation are lumped together into one reaction, and the model predicts the total NO x . In this model, only one reaction step must be tuned for each storage component: that is, in our case, one reaction for the formation of barium nitrate and one reaction for potassium nitrate. A broad range of experimental conditions was used when developing this model; five temperatures (200, 300, 400, 500, and 600 °C) and three different inlet NO concentrations (100, 200, and 300 ppm) were used. Water and CO2 were present in all experiments, because these can affect the storage behavior. The reductant used in the regeneration period was CO. Long lean and rich cycles were used to capture the kinetics of the reactions accurately. The model was able to describe all 15 experiments well and could adequately capture the amount of stored NO x during the lean period and the NO x conversion during the rich period, including the NO x breakthrough peak that occurred at the beginning of the rich period. The model was validated with short lean−rich cycling experiments, where the lean period was 30 s and the rich period was 2 s. The model could predict the outlet NO x concentration well, and the error for the average conversion was only 1%−2% in the validation simulations.

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Section: Resultsmentioning

confidence: 99%

Global Kinetic Modelling of a Supplier Barium- and Potassium-Containing Lean NO_x Trap

Olsson

Monroe

Blint

2006

Ind. Eng. Chem. Res.

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“…343 Mathematical modeling could evaluate the 28 step NSR reaction mechanism 344 and could reveal the importance of Pt and Ba geometrical proximity 342 and also the sulfur deactivation. 345,346 Koci et al developed a spatially pseudo-1D, multiphase model of an adiabatic catalytic monolith and fitted it to the experimental data. 347 NO x were stored on the washcoat surface during the lean phase, and the storage centers were gradually saturated from the front to the rear part of the converter.…”

Section: Theoretical Studiesmentioning

confidence: 99%

NO_x Storage−Reduction Catalysis: From Mechanism and Materials Properties to Storage−Reduction Performance

2009

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“…Future emission requirements will necessitate the use of exhaust treatment devices consisting of a catalytic system for NO x removal and a particulate filter for PM removal. Up to now, several technologies including continuous regeneration filter, (1) catalyzed filter (2) and ceramic filter (3) have been developed for PM removal, and various catalytic technologies such as lean NO x catalyst, (4) NO x trap, (5) selective catalytic reaction (SCR) (6) and plasmacatalyst (7) have been tried to reduce the NO x emission level. Among the NO x removal technologies, the SCR is well established, and is considered as the most promising way to reduce NO x .…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Removal of Nitrogen Oxides and Particulate Matters from Diesel Engine Exhaust using Dielectric Barrier Discharge and Catalysis Hybrid System

Mok

Huh

2005

Plasma Chem Plasma Process

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Dielectric barrier discharge (DBD) and catalysis hybrid process was used to remove nitrogen oxides and particulate matters from diesel engine exhaust. The DBD reactor converts a part of NO into NO 2 , and then the exhaust gas containing the mixture of NO and NO 2 enters the catalytic reactor where both NO and NO 2 are reduced to N 2 . The effect of energy density (power input divided by gas flow rate) and reaction temperature on the removal of nitrogen oxides was investigated with a stationary diesel engine. The hybrid process was able to remove about 80% of the initial nitrogen oxides at an energy density of 25 J/L and 150 • C. The removal of particulate matters did not largely depend on the electrode structure, but it was a strong function of the energy density. On the basis of 80% removal efficiency, the energy yield for nitrogen oxides was 40 eV/molecule while that for particulate matters was 83 kJ/mg. The present study suggests that this kind of hybrid process can be applied to simultaneous removal of nitrogen oxides and particulate matters from diesel engine exhausts.

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Influence of Sulfur Concentration in Gasoline on NOx Storage - Reduction Catalyst

Cited by 35 publications

References 3 publications

Global Kinetic Modelling of a Supplier Barium- and Potassium-Containing Lean NO_x Trap

Global Kinetic Modelling of a Supplier Barium- and Potassium-Containing Lean NO_x Trap

NO_x Storage−Reduction Catalysis: From Mechanism and Materials Properties to Storage−Reduction Performance

Simultaneous Removal of Nitrogen Oxides and Particulate Matters from Diesel Engine Exhaust using Dielectric Barrier Discharge and Catalysis Hybrid System

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Influence of Sulfur Concentration in Gasoline on NOx Storage - Reduction Catalyst

Cited by 35 publications

References 3 publications

Global Kinetic Modelling of a Supplier Barium- and Potassium-Containing Lean NOx Trap

Global Kinetic Modelling of a Supplier Barium- and Potassium-Containing Lean NOx Trap

NOx Storage−Reduction Catalysis: From Mechanism and Materials Properties to Storage−Reduction Performance

Simultaneous Removal of Nitrogen Oxides and Particulate Matters from Diesel Engine Exhaust using Dielectric Barrier Discharge and Catalysis Hybrid System

Contact Info

Product

Resources

About

Global Kinetic Modelling of a Supplier Barium- and Potassium-Containing Lean NO_x Trap

Global Kinetic Modelling of a Supplier Barium- and Potassium-Containing Lean NO_x Trap

NO_x Storage−Reduction Catalysis: From Mechanism and Materials Properties to Storage−Reduction Performance