Optimisation of a fermentation process for butanol production by particle swarm optimisation (PSO)

Abstract

BACKGROUND: The performance of three particle swarm optimisation (PSO) algorithms was assessed in relation to their capability to optimise an alternative fermentation process for the production of biobutanol. The process consists of three interconnected units: fermentor, cell retention system and vacuum flash vessel (responsible for the continuous recovery of butanol from the broth). The dynamic behaviour of the process was described by a non-linear mathematical model. Four constrained optimisation problems were formulated concerning the operation and design of flash fermentation: (1) maximisation of butanol productivity; (2) maximisation of substrate conversion; (3) and (4) adjustment of operating conditions in the face of problems of fluctuations in the quality of the agricultural raw material and changes in the kinetics of the microorganisms.

Parameters Optimization and Application to Glutamate Fermentation Model Using SVM

“…where is the random number uniformly sampled from (0, 1); is control parameter, when it takes the value of 4, the Logistic equation is in complete chaos [13]. Then, it will be introduced into the optimization space by the following formula:…”

“…These SVM parameters mainly include the penalty constant , the relaxation factor , and the parameters in kernel function (e.g., the width in the RBF kernel function), and they affect the SVM performance more or less. Most existing approaches use leave-one-out (LOO) [10], gradient descent (GD) [11], genetic algorithm (GA) [12], particle swarm optimization (PSO) [13], and related parameter estimators. There does not exist a single universally effective method to select these SVM parameters.…”

Evaluación energética y económica de la recuperación in situ de butanol aplicando vacío cíclico en un reactor con múltiples alimentaciones

“…Existen diferentes alternativas de recuperación in situ, tales como la extracción líquido-líquido (Grisales-Diaz y Olivar, 2017), la pervaporación (Borisov y Volkov, 2015), el gas de arrastre (Li et al, 2016), la perstracción (Heerema et al, 2011), la adsorción (Goerlitz et al, 2018), entre otras (Outram et al, 2016). De las unidades usadas en la recuperación de producto in situ (ISPR), la evaporación a vacío es una de las más interesantes por su relativo bajo costo y simplicidad (Mariano et al, 2010). Sin embargo, esta tecnología aún tiene altos consumos energéticos.…”

Controllability Analysis of Process Alternatives for Biobutanol Purification

“…The fermentation process for acetone and butanol production has been studied in depth by many researchers. However, the concentration of n ‐butanol produced in the batch fermenter is quite low (20 g L −1 ) because of toxicity problems 3. In addition, acetone and ethanol are also produced, which must be removed from the mixture coming from the fermenter.…”