Title of article :
Assessment of bioethanol yield by S. cerevisiae grown on oil palm residues: Monte Carlo simulation and sensitivity analysis
Author/Authors :
Samsudin، نويسنده , , Mohd Dinie Muhaimin and Mat Don، نويسنده , , Mashitah، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2015
Abstract :
Oil palm trunk (OPT) sap was utilized for growth and bioethanol production by Saccharomyces cerevisiae with addition of palm oil mill effluent (POME) as nutrients supplier. Maximum yield (YP/S) was attained at 0.464 g bioethanol/g glucose presence in the OPT sap–POME-based media. However, OPT sap and POME are heterogeneous in properties and fermentation performance might change if it is repeated. Contribution of parametric uncertainty analysis on bioethanol fermentation performance was then assessed using Monte Carlo simulation (stochastic variable) to determine probability distributions due to fluctuation and variation of kinetic model parameters. Results showed that based on 100,000 samples tested, the yield (YP/S) ranged 0.423–0.501 g/g. Sensitivity analysis was also done to evaluate the impact of each kinetic parameter on the fermentation performance. It is found that bioethanol fermentation highly depend on growth of the tested yeast.
Keywords :
Oil palm residues , Bioethanol , MODELING , Monte Carlo simulation , Sensitivity analysis
Journal title :
Bioresource Technology
Journal title :
Bioresource Technology