A systematic methodology for kinetic modeling of chemical reactions applied to n-hexane hydroisomerization
Kinetic modeling provides chemical engineers with a unique opportunity to better understand reaction kinetics in general and the underlying chemistry in particular. How to systematically approach a modeling assignment in chemical reaction kinetics is typically less clear, especially for novices in t...
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| Vydané v: | AIChE journal Ročník 61; číslo 3; s. 880 - 892 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
New York
Blackwell Publishing Ltd
01.03.2015
American Institute of Chemical Engineers |
| Predmet: | |
| ISSN: | 0001-1541, 1547-5905 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Kinetic modeling provides chemical engineers with a unique opportunity to better understand reaction kinetics in general and the underlying chemistry in particular. How to systematically approach a modeling assignment in chemical reaction kinetics is typically less clear, especially for novices in the field. The proposed modeling methodology pursues an adequate compromise between statistical significance and physical meaning of the kinetic model and the corresponding parameters and typically results in models of an appropriate complexity. It comprises the following activities: (1) data analysis, aiming at qualitative information on the reaction mechanism and corresponding rate equations, (2) model regression to quantify this information via optimal parameter values, and (3) validation of the statistical significance and physical meaning of the parameter estimates. This methodology is successfully applied to n‐hexane hydroisomerization on a bifunctional catalyst. © 2014 American Institute of Chemical Engineers AIChE J, 61: 880–892, 2015 |
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| Bibliografia: | istex:96AA5D1E75E6CB63E40294AF9E484D86B2249D4F European Commission in the 7th Framework Programme - No. GA n°228953 Long Term Structural Methusalem Funding ark:/67375/WNG-L5LQZBVC-3 ArticleID:AIC14680 Flemish Government SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 0001-1541 1547-5905 |
| DOI: | 10.1002/aic.14680 |