Knowledge based control applied to fixed bed pulsed bioreactors View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1996-02

AUTHORS

E. Roca, J. Flores, I. Rodríguez, C. Cameselle, M. J. Núñez, J. M. Lema

ABSTRACT

In this work, an expert system was developed and applied for on-line control and supervision of ethanolic fermentation by immobilized Saccharomyces cerevisiae in a fixed-bed pulsed bioreactor of 1.2 l of working volume. A number of experiments with different substrate concentrations (75, 100, 150 and 200 g/l) and hydraulic residence times (2.4, 1.2 and 0.8 h) were carried out. Knowledge-based computer-aided supervision of this process involves accurate on-line measurement of the relevant process variables (temperature, pH, flow rate, carbon dioxide production, etc.). Carbon dioxide production was used for the estimation of the ethanol productivity. The analysis of the measured data allowed to detect states or trends that may be indicative of process or system failures, providing advices and/or alarms. The results showed the reliability of the control system. In previous works, it was proven that pulsing the feed stream highly improves the productivity of fermentation processes carried out in fixed-bed bioreactors [14, 15, 16]. The amplitude and frequency of the pulsation, which is a key factor in the performance of a pulsed feed bioreactor [13], was selected by the control system by using an algorithm allowing the ethanol productivity to be optimized. The pulsation frequency which maximizes the ethanol productivity, presents a high dependency on the hydraulic residence time and the feeding substrate concentration. When increasing the substrate concentration the optimum pulsation frequency also increases; when increasing the hydraulic residence time the optimum pulsation frequency decreases. More... »

PAGES

113-118

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00369427

DOI

http://dx.doi.org/10.1007/bf00369427

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019019619


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