Premium
Optimization of an industrial afterburner
Author(s) -
Öberg Tomas
Publication year - 2003
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.771
Subject(s) - combustion , experimental data , carbon monoxide , design of experiments , process engineering , statistical analysis , response surface methodology , domain (mathematical analysis) , computer science , chemistry , engineering , mathematics , catalysis , statistics , machine learning , organic chemistry , mathematical analysis
Abstract An industrial afterburner was optimized using statistical experimental design. A computer‐generated optimal design was adapted to domain constraints and previous knowledge about the experimental variables. Carbon monoxide was used as a general indicator for the operating conditions, and a reduced response surface model was fitted to the experimental data. In a second phase the initial results were verified and investigated in more detail with regard to chlorinated aromatics. The empirical models obtained were further interpreted using results from laboratory investigations and more fundamental knowledge from combustion theory. Copyright © 2003 John Wiley & Sons, Ltd.