Application of artificial neural networks in modeling and optimization of biofuels production

Pajčin, Ivana; Grahovac, Jovana; Dodić, Jelena; Jokić, Aleksandar; Dodić, Siniša; Vučurović, Damjan; Milovic, Nemanja

doi:10.5937/jpea1702066p

Cited by 5 publications

(1 citation statement)

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“…Bioethanol co-production in sugar plants is considered as a promising possibility for the utilization of sugar beet outside the food industry. The optimization of bioethanol production from intermediates and byproducts of sugar beet processing means a step closer to the mass production of this biofuel (Grahovac et al, 2016;Pajčin et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Kinetic analysis of alcoholic fermentation using intermediate and by-products of sugar beet processing in laboratory bioreactor

Grahovac¹,

Vlajkov²,

Pajčin³

et al. 2019

J Proc Ener Agri

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Bioethanol production in batch culture by free Saccharomyces cerevisiae cells from intermediate and by-products of sugar beet processing was investigated. This research relays on the previouslyconducted experiments in the bioreactor of 1.5 L working volumewhere key fermentation parameters, including initial sugar concentration and fermentation time, were optimized. This study was performed to validate the applicability of obtained results in the enlarged scale i.e. in 10 L laboratory bioreactor. The main aim was to analyze the bioprocess time course by monitoring the yeast cell number and concentrations of sugar, amino nitrogen, total soluble salts,and ethanol. Also, the kinetic analysis of ethanol and yeast biomass formation as well as sugar consumption during fermentation of media based on raw juice, thin juice, thick juice,and molasses was performed.

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Section: Introductionmentioning

confidence: 99%