Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/13018
Title: Computational evaluation of microalgae biomass conversion to biodiesel
Authors: Milic, Marija
Petković B.
Selmi A.
Petković D.
Jermsittiparsert, Kittisak
Radivojevic A.
Milovančević, Miloš
KHAN, AFRASYAB
Vidosavljević S.
Denic N.
Kuzman, Boris
Journal: Biomass Conversion and Biorefinery
Issue Date: 1-Jan-2021
Abstract: © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature. Since there are large requirements for green energy sustainability, in this study, optimization of in situ transesterification of microalgae slurry conversion into biodiesel was performed. The main aim was to perform a selection procedure of the optimal predictors for fatty acid methyl ester yield and exergy efficiency in situ transesterification process. The adaptive neuro fuzzy inference system (ANFIS) as a soft computing approach was used for the optimization of the predictors for the fatty acid methyl ester yield and exergy efficiency. Based on the obtained results, the optimal combination for fatty acid methyl ester yield was ultrasonic power and reaction time while the optimal combination for the exergy efficiency was concentrations of methanol and chloroform in oil. These selected predictors could be used effectively in order to maximize the fatty acid methyl ester yield and exergy efficiency.
URI: https://scidar.kg.ac.rs/handle/123456789/13018
Type: Article
DOI: 10.1007/s13399-021-01314-2
ISSN: 21906815
SCOPUS: 85101528248
Appears in Collections:University Library, Kragujevac
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