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SCR efficiency model using a neuron network and 1D model

dc.contributor.advisorVojtíšek Michal
dc.contributor.authorLorieul Marion
dc.date.accessioned2017-11-09T10:54:56Z
dc.date.available2017-11-09T10:54:56Z
dc.date.issued2017-08-21
dc.identifierKOS-874287626705
dc.identifier.urihttp://hdl.handle.net/10467/73481
dc.description.abstractThe thesis is concerned with mathematical model of the performance of a Selective Catalytic Reduction device used in passenger cars with diesel engines for the reduction of nitrogen oxides (NOx) in exhaust gases. Improvements in SCR efficiency are needed due to the evolution of the EU legislation regulating exhaust emissions from on-road vehicles. The goal of the thesis is to improve the existing 0-D mathematical/computational model of the SCR catalyst. Two approaches will be considered. One is an extension of the 0-D model into a pseudo 1-D model. The other is a neural network based approach. Both models will be explored in terms of their strengths and weaknesses considering their accuracy and the complexity of their implementation.cze
dc.description.abstractThe thesis is concerned with mathematical model of the performance of a Selective Catalytic Reduction device used in passenger cars with diesel engines for the reduction of nitrogen oxides (NOx) in exhaust gases. Improvements in SCR efficiency are needed due to the evolution of the EU legislation regulating exhaust emissions from on-road vehicles. The goal of the thesis is to improve the existing 0-D mathematical/computational model of the SCR catalyst. Two approaches will be considered. One is an extension of the 0-D model into a pseudo 1-D model. The other is a neural network based approach. Both models will be explored in terms of their strengths and weaknesses considering their accuracy and the complexity of their implementation.eng
dc.language.isoENG
dc.publisherČeské vysoké učení technické v Praze. Vypočetní a informační centrum.cze
dc.publisherCzech Technical University in Prague. Computing and Information Centre.eng
dc.rightsA university thesis is a work protected by the Copyright Act. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one?s own expense. The use of thesis should be in compliance with the Copyright Act http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics http://knihovny.cvut.cz/vychova/vskp.html.eng
dc.rightsVysokoškolská závěrečná práce je dílo chráněné autorským zákonem. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou http://knihovny.cvut.cz/vychova/vskp.html.cze
dc.subjectEfficiency,Selective Catalytic Reduction (SCR),Nitrogen oxides (NOx),exhaust gases,modelling,neural networks,accuracy,robustnesscze
dc.subjectEfficiency,Selective Catalytic Reduction (SCR),Nitrogen oxides (NOx),exhaust gases,modelling,neural networks,accuracy,robustnesseng
dc.titleSCR efficiency model using a neuron network and 1D modelcze
dc.titleSCR efficiency model using a neuron network and 1D modeleng
dc.typeMAGISTERSKÁ PRÁCEcze
dc.typeMASTER'S THESISeng
dc.date.accepted2017-09-15
dc.contributor.refereeKrejčík Dalibor
theses.degree.disciplineAdvanced Powertrainscze
theses.degree.grantorústav automobilů, spalovacích motorů a kolejových vozidelcze
theses.degree.programmeMaster of Automotive Engineeringcze


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