Optimization of a Process for the Solvent Fractionation of Palm Oil Using a Model Based on Interpolation of Experimental Data

This work deals with the problem of finding the optimum operating conditions of a process for which a large amount of experimental data has been obtained from a pilot plant. A computer simulation model based on direct linear interpolation on the experimental data was developed and incorporated in an...

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Bibliographic Details
Published inChemical engineering & technology Vol. 23; no. 2; pp. 165 - 170
Main Author Parra, E. Zelaya de la
Format Journal Article
LanguageEnglish
Published Weinheim WILEY-VCH Verlag 01.02.2000
WILEY‐VCH Verlag
Wiley-VCH
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Summary:This work deals with the problem of finding the optimum operating conditions of a process for which a large amount of experimental data has been obtained from a pilot plant. A computer simulation model based on direct linear interpolation on the experimental data was developed and incorporated in an optimization routine able to deal with constraints. A sensitivity analysis around the maximum and a brief analysis of the effects of increasing the capacity of the main pieces of equipment were carried out. The results show that a substantial increment in the production can be achieved when operating at the optimum conditions and that good control of some variables should be observed to prevent deviations from that maximum. The object of the present work is to find the optimum operating conditions of the process for the acetone fractionation of palm oil, using experimental data obtained from an extensive pilot plant study. A computer simulation model based on direct linear interpolation on the experimental data was developed and incorporated in an optimization routine able to deal with constraints. A sensitivity analysis around the maximum and a brief analysis of the effects of increasing the capacity of the main pieces of equipment were carried out.
Bibliography:ark:/67375/WNG-P3LHF0MV-F
ArticleID:CEAT165
istex:59F3A8BB7A6BA87231C509FA07F1AC469DAB0AB0
ISSN:0930-7516
1521-4125
DOI:10.1002/(SICI)1521-4125(200002)23:2<165::AID-CEAT165>3.0.CO;2-G