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Catalytic Technology for Soot and Gaseous Pollution Control
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AbstractIn this chapter, stationary and automotive technologies for gaseous and particulate pollution abatement are discussed. Stationary pollution abatement technologies involve the reduction of NOxemissions from the exhaust gases of power plants, industrial boilers, and gas turbines, and are based on selective catalytic reduction (SCR) using ammonia. In automotive pollution control, internal combustion engines represent the major source for the emission of NOx, CO, and unburned hydrocarbons (HCs), whereas diesel engines contribute to the emission of soot and NOx. These gaseous pollutants can be minimized with primary measures, for example, modification of the combustion process, and with additional secondary measures (exhaust purification by catalysts). The most frequent type of catalytic converter in automobiles is the three‐way catalyst (TWC) in stoichiometric operated gasoline engines, which simultaneously converts NOx, CO, and HCs. NOxemissions from lean‐operated enginescanbe removed by urea‐SCR and NOxstorage reduction catalysts (NSC). Catalytic CO oxidation is an essential reaction of the TWC and NSC, and is also applied in diesel engines using the diesel oxidation catalyst (DOC) that can oxidize gaseous HCs as well as HCs adsorbed onto soot particles. Diesel particulate filters (DPFs) are used to remove soot from diesel exhaust by filtration of the particles through the porous walls of the filter. The DPF application requires regeneration; that is, oxidation of the stored soot particles, which is accomplished by indirect (NO2‐assisted) and direct (redox metal oxide‐based) catalytic oxidation of the accumulated soot particles in the DPF.
Title: Catalytic Technology for Soot and Gaseous Pollution Control
Description:
AbstractIn this chapter, stationary and automotive technologies for gaseous and particulate pollution abatement are discussed.
Stationary pollution abatement technologies involve the reduction of NOxemissions from the exhaust gases of power plants, industrial boilers, and gas turbines, and are based on selective catalytic reduction (SCR) using ammonia.
In automotive pollution control, internal combustion engines represent the major source for the emission of NOx, CO, and unburned hydrocarbons (HCs), whereas diesel engines contribute to the emission of soot and NOx.
These gaseous pollutants can be minimized with primary measures, for example, modification of the combustion process, and with additional secondary measures (exhaust purification by catalysts).
The most frequent type of catalytic converter in automobiles is the three‐way catalyst (TWC) in stoichiometric operated gasoline engines, which simultaneously converts NOx, CO, and HCs.
NOxemissions from lean‐operated enginescanbe removed by urea‐SCR and NOxstorage reduction catalysts (NSC).
Catalytic CO oxidation is an essential reaction of the TWC and NSC, and is also applied in diesel engines using the diesel oxidation catalyst (DOC) that can oxidize gaseous HCs as well as HCs adsorbed onto soot particles.
Diesel particulate filters (DPFs) are used to remove soot from diesel exhaust by filtration of the particles through the porous walls of the filter.
The DPF application requires regeneration; that is, oxidation of the stored soot particles, which is accomplished by indirect (NO2‐assisted) and direct (redox metal oxide‐based) catalytic oxidation of the accumulated soot particles in the DPF.
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Large eddy simulation subfilter modeling of soot-turbulence interactions
Large eddy simulation subfilter modeling of soot-turbulence interactions
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Non-catalytic oxidation mechanism of industrial soot at high temperature
Non-catalytic oxidation mechanism of industrial soot at high temperature
Abstract
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Analysis of Soot Particle Movement in Diesel Engine under the Influence of Drag Force
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Development of an Extensive Soot Prediction Methodology Using Neural Networks
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<p>For the last few decades, it has been one of the top priorities for the combustion field to study soot formation carefully. Thus, soot modeling is one of the most importan...
Development of an Extensive Soot Prediction Methodology Using Neural Networks
Development of an Extensive Soot Prediction Methodology Using Neural Networks
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