Effect Of Temperature On Sugarcane Ethanol Fermentation: Kinetic Modeling And Validation Under Very-high-gravity Fermentation Conditions

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)In this work, a mechanistic model is developed to simulate the effect of temperature on Saccharomyces cerevisiae growth and ethanol production of batch fermentations. A wide temperature range is used to estimate the temperature-dependent kinetic parameters of the reaction kinetics. Because multi parameter estimation problems are complex, an optimization-based procedure is used to determine the optimum parameter values. The calculated reaction rates are used to construct a mechanistic fed-batch model. Experimental data from several cycles of very-high-gravity (VHG) ethanol fermentation from sugarcane are used to validate the model. Acceptable predictions are achieved in terms of the residual standard deviation (RSD). In addition, a suitable fermentation temperature profile, nutrient supplementation and micro-aeration during cell treatment are essential factors to obtain a yield of up to 90%, with a productivity of 10.2 g/L h and an ethanol concentration of 120 g/L. (C) 2016 Elsevier B.V. All rights reserved.1194251British Petroleum Biofuels (BP)Brazilian Bioethanol Science and Technology Laboratory/Brazilian Center of Research in Energy and Materials (CTBE/CNPEM)FAPESP [2016/01785-0]Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

Effect of temperature on sugarcane ethanol fermentation: Kinetic modeling and validation under very-high-gravity fermentation conditions

In this work, a mechanistic model is developed to simulate the effect of temperature on Saccharomyces cerevisiae growth and ethanol production of batch fermentations. A wide temperature range is used to estimate the temperature-dependent kinetic parameters of the reaction kinetics. Because multi parameter estimation problems are complex, an optimization-based procedure is used to determine the optimum parameter values. The calculated reaction rates are used to construct a mechanistic fed-batch model. Experimental data from several cycles of very-high-gravity (VHG) ethanol fermentation from sugarcane are used to validate the model. Acceptable predictions are achieved in terms of the residual standard deviation (RSD). In addition, a suitable fermentation temperature profile, nutrient supplementation and micro-aeration during cell treatment are essential factors to obtain a yield of up to 90%, with a productivity of 10.2 g/L h and an ethanol concentration of 120 g/L.1194251FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP2016/01785-