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Mathematical modeling of batch bioethanol generation from carob extract in the suspended‐cell stirred‐tank bioreactor
Author(s) -
Germec Mustafa,
Karhan Mustafa,
Demirci Ali,
Turhan Irfan
Publication year - 2020
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.5612
Subject(s) - mean squared error , chemistry , biomass (ecology) , bioreactor , kinetic energy , biofuel , mathematics , root mean square , biological system , analytical chemistry (journal) , chromatography , statistics , waste management , engineering , organic chemistry , biology , physics , electrical engineering , quantum mechanics , agronomy
Summary In this study, various functions were evaluated and utilized to forecast observed values and kinetic parameters of the batch ethanol fabrication from carob extract in the suspended‐cell stirred tank reactor (SCSTR). The best model was detected with the model comparison parameters (root‐mean‐square‐error [RMSE], mean‐absolute‐error [MAE], and R 2 ). The results indicated that the model Stannard (ST) successfully predicted biomass production data (RMSE = 0.26 g L −1 , MAE = 0.18 g L −1 , and R 2 = 0.9910), ethanol fabrication data (RMSE = 2.44 g L −1 , MAE = 1.88 g L −1 , and R 2 = 0.9809), and sugar depletion data (RMSE = 2.82 g L −1 , MAE = 2.17 g L −1 and R 2 = 0.9938). Nevertheless, the lowest value of the objective function ( Φ ‐factor) was also yielded as 0.041 using the model ST. Additionally, in the estimation of the kinetic data, the model ST also gave well‐directed results. Besides, when an independent set of the observed values was utilized to confirm the mathematical functions, the satisfactory consequences were achieved in terms of both the experimental and kinetic values. Consequently, the model ST can work as a universal function in predicting observed values and kinetics of batch ethanol generation from carob extract in an SCSTR.