Bifurcation analysis of two continuous membrane fermentor configurations for producing ethanol

Garhyan, Parag; Elnashaie, S.S.E.H.

doi:10.1016/j.ces.2004.05.003

Cited by 23 publications

(36 citation statements)

References 34 publications

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“…These results are compatible with the experimental and theoretical results obtained by Garhyan and Elnashaie,41 who showed the improving of the average of the bioethanol concentration, glucose conversion, and bioethanol yield at the feed substrate concentration of 130 g/L. 42 However, as the inlet substrate concentration increases in the range of 130 < C so < 213.6 g/L, the averages of the previous state variables are lower than that of the unsteady-state values, showing the disadvantage of the oscillatory behavior of the fermentation system at HG.…”

Section: Energy and Fuelssupporting

confidence: 95%

Effect of the Feed Substrate Concentration on the Dynamic Performance of the Bioethanol Fermentation Process Using Zymomonas mobiliz

et al. 2014

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In this work, a structured verified nonlinear mathematical model for a single continuous fermenter of bioethanol production using Zymomonas mobiliz is developed to investigate the effect of the feed substrate concentration, which is taken as the main bifurcation parameter for performing a bifurcation analysis. The chaotic, oscillatory, and steady-state behaviors of the fermentation system are investigated. It is found that the system is dominated by oscillatory behavior in the medium gravity (MG) region (80.76 < C so < 213.6), while it is dominated by stable steady state outside this range; however, at high C so and low dilution rate, the chaotic behavior dominates the system. It is found that the fermentation system accomplishes the maximum averages of substrate conversion and bioethanol yield in the range of 80.76 < C so < 97 g/L. These results are in agreement with the experimental results in the literature.

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Section: Energy and Fuelssupporting

confidence: 95%

Effect of the Feed Substrate Concentration on the Dynamic Performance of the Bioethanol Fermentation Process Using Zymomonas mobiliz

et al. 2014

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“…This technique can be used to readily determine the effect of recycle upon productivity and to optimize productivity in more complicated reactor models. The latter might include a permselective membrane module and a cell/substrate separator which separates the cell and unused substrate from the exit stream to be recycled back into the first tank, as suggested by Garhyan & Elnashaie (2004 …”

Section: Discussionmentioning

confidence: 99%

Analysis of a Model for Ethanol Production through Continuous Fermentation: Ethanol Productivity

Watt¹,

Sidhu²,

Nelson³

et al. 2010

International Journal of Chemical Reactor Engineering

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We investigate a model for the production of ethanol through continuous fermentation using Saccharomyces cerevisiae in a single reactor and cascades of up to five reactors. Using path-following methods we investigate how the ethanol productivity varies with the residence time in each reactor of the cascade. With a substrate feed concentration of 160 g/l we find the optimal productivity is 3.80 g/l/h, 5.08 g/l/h, and 5.18 g/l/h in a single reactor, a double reactor cascade and a triple reactor cascade respectively. For the case of a cascade containing reactors of equal size we investigate reactor configurations of up to five reactors and find that the maximum productivity is obtained in a cascade containing three reactors. Disciplines Physical Sciences and Mathematics Publication DetailsSidhu, H. AbstractWe investigate a model for the production of ethanol through continuous fermentation using Saccharomyces cerevisiae in a single reactor and cascades of up to five reactors. Using path-following methods we investigate how the ethanol productivity varies with the residence time in each reactor of the cascade. With a substrate feed concentration of 160 g/l we find the optimal productivity is 3.80 g/l/h, 5.08 g/l/h, and 5.18 g/l/h in a single reactor, a double reactor cascade and a triple reactor cascade respectively. For the case of a cascade containing reactors of equal size we investigate reactor configurations of up to five reactors and find that the maximum productivity is obtained in a cascade containing three reactors.

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“…Nonlinear analysis has been proved as an efficient approach to reveal potential operability problems at the stage of process design. During the past several decades, enormous contributions have been published to obtain a thorough understanding of the nonlinear characteristic of various chemical processes including relative simple continuous stirred tank reactors (Uppal and Ray, 1974;Russo and Bequette, 1995), adiabatic autothermal reactors (Lovo and Balakotaiah, 1992), polymerization reactors (Ray and Villa, 2000;Wells and Ray, 2005;Zavala-Tejeda et al, 2006), crystallization processes (Pathath and Kienle, 2002), toluene catalytic oxidation processes (Yuan et al, 2011b), fuel cells (Bavarian et al, 2013;Chen and Elnashaie, 2004), bioreactor systems (Namjoshi et al, 2003;Garhyan and Elnashaie, 2004), azeotropic distillations (Bekiaris et al, 1993(Bekiaris et al, , 1996, reactive distillations (Kumar and Kaistha, 2008), wastewater treatment processes (FloresTlacuahuac et al, 2009), and chemical networks (Wang et al, 2011;Yuan et al, 2012). Of course, a large number of valuable literature focusing on multiple steady states and nonlinear analysis of fluidized catalytic cracking (FCC) units have also been achieved.…”

Section: Literature Surveymentioning

confidence: 99%

Steady-state multiplicity analysis of two-stage-riser catalytic pyrolysis processes

Yuan

Wang

Yang

2015

Computers & Chemical Engineering

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Bifurcation analysis of two continuous membrane fermentor configurations for producing ethanol

Cited by 23 publications

References 34 publications

Effect of the Feed Substrate Concentration on the Dynamic Performance of the Bioethanol Fermentation Process Using Zymomonas mobiliz

Effect of the Feed Substrate Concentration on the Dynamic Performance of the Bioethanol Fermentation Process Using Zymomonas mobiliz

Analysis of a Model for Ethanol Production through Continuous Fermentation: Ethanol Productivity

Steady-state multiplicity analysis of two-stage-riser catalytic pyrolysis processes

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