Non-linear characteristics of a membrane fermentor for ethanol production and their implications

Mahecha‐Botero, Andrés; Garhyan, Parag; Elnashaie, S.S.E.H.

doi:10.1016/j.nonrwa.2005.03.010

Cited by 34 publications

(41 citation statements)

References 19 publications

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“…For the Zymomonas mobilis fermentation process addressed here, sustained oscillations of biomass, substrate and product profiles have been widely reported [38,39]. An effective controller is therefore required to eliminate oscillations and to take the process to an optimal operating steady state.…”

Section: Case Study: Fermentation For Bioethanol Production Systemmentioning

confidence: 99%

Development of Chemical Process Design and Control for Sustainability

Mirlekar

Ruiz-Mercado

et al. 2016

Processes

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This contribution describes a novel process systems engineering framework that couples advanced control with sustainability evaluation for the optimization of process operations to minimize environmental impacts associated with products, materials and energy. The implemented control strategy combines a biologically-inspired method with optimal control concepts for finding more sustainable operating trajectories. The sustainability assessment of process operating points is carried out by using the U.S. EPA's Gauging Reaction Effectiveness for the ENvironmental Sustainability of Chemistries with a multi-Objective Process Evaluator (GREENSCOPE) tool that provides scores for the selected indicators in the economic, material efficiency, environmental and energy areas. The indicator scores describe process performance on a sustainability measurement scale, effectively determining which operating point is more sustainable if there are more than several steady states for one specific product manufacturing. Through comparisons between a representative benchmark and the optimal steady states obtained through the implementation of the proposed controller, a systematic decision can be made in terms of whether the implementation of the controller is moving the process towards a more sustainable operation. The effectiveness of the proposed framework is illustrated through a case study of a continuous fermentation process for fuel production, whose material and energy time variation models are characterized by multiple steady states and oscillatory conditions.

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Section: Case Study: Fermentation For Bioethanol Production Systemmentioning

confidence: 99%

Development of Chemical Process Design and Control for Sustainability

Mirlekar

Ruiz-Mercado

et al. 2016

Processes

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show abstract

“…Dynamic mathematical models of Z. mobilis fermentation processes have been developed over the years (Jarzebski, 1992;Ghommidh et al, 1989;Daugulis et al, 1997;Jöbses et al, 1986;McLellan et al, 1999;Sridhar, 2011;Mahecha-Botero et al, 2006). The calculations in the present article are based on the model of Mahecha-Botero et al (2006), who incorporated a product-separating membrane to mimic real-time approaches.…”

Section: Dynamic Model Of Fermentation Processmentioning

confidence: 99%

“…The base set of parameters in the current investigation is listed in Table 6.1 (Mahecha-Botero et al, 2006).…”

Section: Dynamic Model Of Fermentation Process 149mentioning

confidence: 99%

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A New Biochemical Fermentation Process Design Method Considering Bifurcations and Oscillations

Wang

Chen

Qiu

et al. 2015

Computer Aided Chemical Engineering

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“…39 Bifurcation analysis is used for studying the dynamics of fermentation systems more efficiently than traditional simulation tools. Dynamic, static, and chaotic behaviors of the fermentation system could be investigated using bifurcation analysis.…”

Section: Numerical Techniques and Computationsmentioning

confidence: 99%

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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Non-linear characteristics of a membrane fermentor for ethanol production and their implications

Cited by 34 publications

References 19 publications

Development of Chemical Process Design and Control for Sustainability

Development of Chemical Process Design and Control for Sustainability

A New Biochemical Fermentation Process Design Method Considering Bifurcations and Oscillations

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

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