MODELLING AND PARAMETER IDENTIFICATION OF BATCH FERMENTATION PROCESS

1986 ◽  
pp. 181-183
Author(s):  
A. Nakrachi ◽  
R. Laurent
Keyword(s):  
Parameter Identification ◽  
Batch Fermentation ◽  
Fermentation Process

MULTISTAGE DYNAMIC SYSTEM OF MICROBIAL BATCH FERMENTATION AND ITS PARAMETER IDENTIFICATION

2013 ◽  
Vol 06 (06) ◽  
pp. 1350044
Author(s):  
YAN WANG ◽  
XIAOHONG LI ◽  
ENMIN FENG ◽  
ZHILONG XIU
Keyword(s):  
Particle Swarm Optimization ◽  
Klebsiella Pneumoniae ◽  
Parameter Identification ◽  
Dynamic System ◽  
Relative Error ◽  
Batch Fermentation ◽  
Fermentation Process ◽  
Swarm Optimization ◽  
Proposed Model ◽  
Three Stages

Based on 1,3-propanediol production from batch fermentation of glycerol by Klebsiella pneumoniae, a multistage dynamic system and its parameter identification are discussed in this paper. The batch fermentation process is divided into three stages exhibiting different dynamic behaviors and characteristics, from which a corresponding nonlinear multistage dynamic system is built. We then propose a parameter identification optimization model whose objective function is the average relative error. The model is solved by particle swarm optimization weighted by inertia, and the result shows that the relative error of our proposed model is 2–10% smaller than those of existing models.

scholarly journals Modelling of ergosterol production by S. cerevisiae in presence of n-dodecane as oxygen-vector

2021 ◽  
Vol 26 (2) ◽  
pp. 2464-2470
Author(s):  
ANCA-IRINA GALACTION ◽  
◽  
ALEXANDRA CRISTINA BLAGA ◽  
ALEXANDRA TUCALIUC ◽  
LENUŢA KLOETZER ◽  
...  
Keyword(s):  
Batch Fermentation ◽  
Fermentation Process ◽  
Biomass Concentration ◽  
Aeration Rate ◽  
Yeast Cells ◽  
Fed Batch ◽  
Volumetric Fraction ◽  
Fed Batch Fermentation ◽  
Oxygen Vector ◽  
Efficient Fermentation

The previous studies on ergosterol production by Saccharomyces cerevisiae in presence of n-dodecane as oxygen-vector have been continued by mathematical modelling the fermentation process. In this purpose, the most efficient fermentation regime has been considered, namely fed-batch fermentation, and was based on the influences of hydrocarbon volumetric fraction, biomass concentration, and aeration rate on the ergosterol content inside the yeast cells. The model describing the fermentation process has been established by means of the statistical analysis, using a factorial experiment of second order. The considered variables control the ergosterol production in a 94.4% extent, the biomass concentration exhibiting the most important influence.

Genetic Algorithms Using for a Batch Fermentation Process Identification

2008 ◽  
Vol 8 (12) ◽  
pp. 2272-2278 ◽  
Author(s):  
Kouame Kan Benjamin ◽  
Assidjo N. Emmanue ◽  
Akaki David ◽  
Yao K. Benjamin
Keyword(s):  
Genetic Algorithms ◽  
Batch Fermentation ◽  
Fermentation Process ◽  
Process Identification
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