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Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Numerical analysis of ammonia homogenization for selective catalytic reduction application
Selective catalytic reduction based on urea water solution as ammonia precursor is a promising method for the NO.sub.x abatement form exhaust gasses of mobile diesel engine units. It consists of injecting the urea-water solution in the hot flue gas stream and reaction of its products with the NO.sub.x over the catalyst surface. During this process flue gas enthalpy is used for the urea-water droplet heating and for the evaporation of water content. After water evaporates, thermolysis of urea occurs, during which ammonia, a known NO.sub.x reductant, and isocyanic acid are generated. The uniformity of the ammonia before the catalyst as well as ammonia slip to the environment are important counteracting design requirements, optimization of which is crucial for development of efficient deNO.sub.x systems.
Numerical analysis of ammonia homogenization for selective catalytic reduction application
Selective catalytic reduction based on urea water solution as ammonia precursor is a promising method for the NO.sub.x abatement form exhaust gasses of mobile diesel engine units. It consists of injecting the urea-water solution in the hot flue gas stream and reaction of its products with the NO.sub.x over the catalyst surface. During this process flue gas enthalpy is used for the urea-water droplet heating and for the evaporation of water content. After water evaporates, thermolysis of urea occurs, during which ammonia, a known NO.sub.x reductant, and isocyanic acid are generated. The uniformity of the ammonia before the catalyst as well as ammonia slip to the environment are important counteracting design requirements, optimization of which is crucial for development of efficient deNO.sub.x systems.
Numerical analysis of ammonia homogenization for selective catalytic reduction application
Baleta, Jakov (Autor:in) / Martinjak, Matija / Vujanovic, Milan / Pachler, Klaus / Wang, Jin / Duic, Neven
2017
Aufsatz (Zeitschrift)
Englisch
BKL:
43.00
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