Chemometric treatment of chemical engineering data

A case study

L. Botár, A. Németh, P. Szepesváry, T. Vidóczy

Research output: Contribution to journalArticle

Abstract

In the course of the evaluation of experiments on a certain technology, different chemometric methods has been used. The aim of the experiments was the determination of those technical circumstances where methane could be most efficiently converted to formaldehyde by catalytic oxidation. The process has been studied in different reactors, at differently structured catalyst supports, at various temperatures, catalyst masses and concentrations, flow rates, residence times, etc. Space-time yield of formaldehyde was chosen to represent the efficiency of the process. The approximately 1000 data, obtained in 150 experiments involving approximately 10 variables were examined by some exploratory statistical techniques, followed by parameter estimations of kinetic models based on physical reasoning.

Original languageEnglish
Pages (from-to)267-274
Number of pages8
JournalChemometrics and Intelligent Laboratory Systems
Volume47
Issue number2
DOIs
Publication statusPublished - May 17 1999

Fingerprint

Chemometrics
Chemical engineering
Engineering
Formaldehyde
Catalyst Support
Experiment
Residence Time
Catalytic oxidation
Experiments
Methane
Kinetic Model
Catalyst
Catalyst supports
Oxidation
Parameter estimation
Flow Rate
Reactor
Parameter Estimation
Reasoning
Space-time

Keywords

  • Catalytic oxidation
  • Chemical engineering
  • Chemometric methods

ASJC Scopus subject areas

  • Analytical Chemistry
  • Spectroscopy
  • Statistics and Probability

Cite this

Chemometric treatment of chemical engineering data : A case study. / Botár, L.; Németh, A.; Szepesváry, P.; Vidóczy, T.

In: Chemometrics and Intelligent Laboratory Systems, Vol. 47, No. 2, 17.05.1999, p. 267-274.

Research output: Contribution to journalArticle

Botár, L. ; Németh, A. ; Szepesváry, P. ; Vidóczy, T. / Chemometric treatment of chemical engineering data : A case study. In: Chemometrics and Intelligent Laboratory Systems. 1999 ; Vol. 47, No. 2. pp. 267-274.
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