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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F08%3APU75427%21RIV10-GA0-26210___
rdf:type
skos:Concept n10:Vysledek
dcterms:description
The present work deals with the possibilities and obstacles of modelling the formation of nitrogen oxides. The approaches discussed include both empirical regression modelling and computational fluid dynamics (CFD). Basis for the discussion is provided by a parametric study of a low-NOx gas burner with staged gas supply and 1000 kW firing capacity. The measured data were obtained in a new, advanced burner testing facility, described in the text. Statistical analysis is applied to choose independent variables influencing the formation of NOx among numerous burner design parameters. Structure of the resulting regression model is discussed in detail. Assessment of similar models for practical use closes the first part of the article. The approach based on CFD modelling is analysed with regard to several aspects, namely tuning of computational models using measured data, influence of simplified modelling assumptions, solution accuracy and computational time. The potential to reduce computational time by c The present work deals with the possibilities and obstacles of modelling the formation of nitrogen oxides. The approaches discussed include both empirical regression modelling and computational fluid dynamics (CFD). Basis for the discussion is provided by a parametric study of a low-NOx gas burner with staged gas supply and 1000 kW firing capacity. The measured data were obtained in a new, advanced burner testing facility, described in the text. Statistical analysis is applied to choose independent variables influencing the formation of NOx among numerous burner design parameters. Structure of the resulting regression model is discussed in detail. Assessment of similar models for practical use closes the first part of the article. The approach based on CFD modelling is analysed with regard to several aspects, namely tuning of computational models using measured data, influence of simplified modelling assumptions, solution accuracy and computational time. The potential to reduce computational time by c
dcterms:title
Obstacles in modelling formation of nitrogen oxides in combustion systems Obstacles in modelling formation of nitrogen oxides in combustion systems
skos:prefLabel
Obstacles in modelling formation of nitrogen oxides in combustion systems Obstacles in modelling formation of nitrogen oxides in combustion systems
skos:notation
RIV/00216305:26210/08:PU75427!RIV10-GA0-26210___
n4:aktivita
n19:P
n4:aktivity
P(GA101/05/2469)
n4:dodaniDat
n7:2010
n4:domaciTvurceVysledku
n18:3314006 n18:2813629 n18:4547411
n4:druhVysledku
n21:D
n4:duvernostUdaju
n14:S
n4:entitaPredkladatele
n16:predkladatel
n4:idSjednocenehoVysledku
383986
n4:idVysledku
RIV/00216305:26210/08:PU75427
n4:jazykVysledku
n20:eng
n4:klicovaSlova
Modelling, design of experiment, CFD, combustion
n4:klicoveSlovo
n11:CFD n11:Modelling n11:combustion n11:design%20of%20experiment
n4:kontrolniKodProRIV
[934AB8057884]
n4:mistoKonaniAkce
Praha
n4:mistoVydani
Praha
n4:nazevZdroje
Conference CD - CHISA 2008
n4:obor
n9:JP
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:projekt
n15:GA101%2F05%2F2469
n4:rokUplatneniVysledku
n7:2008
n4:tvurceVysledku
Stehlík, Petr Bělohradský, Petr Kermes, Vít
n4:typAkce
n5:WRD
n4:zahajeniAkce
2008-08-24+02:00
s:numberOfPages
7
n6:hasPublisher
Orgit s.r.o.
n13:isbn
978-80-02-02047-9
n17:organizacniJednotka
26210