Computational simulation and statistical analysis of bioethanol production from Madhuca indica by batch fermentation process using Saccharomyces cerevisiae. (December 2016)

• Record Type: Journal Article
• Authors: Halder, Gopinath; Dhawane, Sumit H.; Dutta, Debaprasad; Dey, Sohan; Banerjee, Soumya; Mukherjee, Shraboni; Mondal, Madhumanti
• Is Part Of: Sustainable energy technologies and assessments. Volume 18(2017)
• Page Start: 16
• Page End: 33
• Publication Date: 2016-12
• Subjects: Madhuca indica -- Bioethanol -- Computational simulation -- Regression analysis -- Kinetic parameters; Renewable energy sources -- Periodicals; Energy development -- Technological innovations -- Periodicals; Electric power production -- Periodicals; Energy storage -- Periodicals; 333.79
• DOI: 10.1016/j.seta.2016.09.004
• Languages: English
• ISSNs: 2213-1388

Abstract

Abstract: Madhuca indica (Mahua flowers) abundantly available in tropical region of India was used to produce bioethanol using Saccharomyces cerevisiae in batch fermentation process. The experiments were investigated at three different initial substrate concentrations at 30 °C for 96 h maintaining pH at 5. A regression analysis on various kinetic models was performed to illustrate the concentration – time evolutions. Each model was analyzed to determine the various constraints like R 2, R 2 adjusted, root mean square deviation (RMSD) and variances for different experimental runs. 4th order Runge-Kutta method was employed to obtain the performance curves to predict its compatibility with experimental profiles. Hinshelwood model fits the concentration time profile most satisfactorily and can predict the bioethanol yield within acceptable error range. Hence, the Hinshelwood model could be applied to predict the bioethanol yield and describe the kinetics of batch fermentation of Madhuca indica .