Otimização Dos Parâmetros Geométricos De Fermentadores Contínuos Aplicados Na Produção De Bioetanol Através De Simulação Computacional Do Escoamento

Content Provider	Semantic Scholar
Author	Góis, Evelise Roman Corbalan
Copyright Year	2012
Abstract	GÓIS, E. R. C. GEOMETRY PARAMETERS OPTIMIZATION OF A CONTINUOUS FERMENTER APPLIED AT BIOETHANOL PRODUCTION BY FLOW COMPUTATIONAL SIMULATION. 2012. TESE (DOUTORADO) ESCOLA DE ENGENHARIA DE SÃO CARLOS, UNIVERSIDADE DE SÃO PAULO, SÃO PAULO, 2012. The enhancement of bioethanol production means from different types of biomass presents significant problems and engineering challenges. Due to climate and a wellestablished sugar-cane ethanol production, Brazil is in a privileged position in the global ethanol production scenario. Providing effective means to optimize existing production methods can both improve the efficiency and reduce the environmental impact of the currently used production model. Improvements on this process can have a significant effect in several stages of production, once the production process is used both for first and secondgeneration ethanol. Several attempts to improve the ethanol production process are presented in the literature. Most studies have investigated how to improve parameters such as shear stress, velocity profiles and residence time, and of the influence of the bioreactor geometry on the parameters. The use of genetic algorithms has been reported in some cases, but there have not been reports on studies combining the optimization of flow parameters and algorithms to choose ideal geometric parameters for continuous fermenters, used in 30% of Brazilian industries in the field. The main aim of this study is to obtain ideal geometric parameters for a continuous fermenter, in order to maximize or minimize flow parameters that can influence on the fermenting process. The aim of this study is obtain the ideal geometry parameters for a continuous fermenter, minimizing two of flow parameters which can influence the fermentation process, namely the shear stress and the variance of residence time distribution (RTD). The flow parameters was obtained by computational fluid dynamics. The ideal fermenter geometries was obtained by two different optimization methods: the genetic algorithms and univariate optimization. The ideal geometries was proposed in this study.
File Format	PDF HTM / HTML
DOI	10.11606/T.18.2012.tde-14052013-112024
Alternate Webpage(s)	https://teses.usp.br/teses/disponiveis/18/18147/tde-14052013-112024/publico/TESE_evelise_FINAL.pdf
Alternate Webpage(s)	https://doi.org/10.11606/T.18.2012.tde-14052013-112024
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article