Exploration and exploitation of bifurcation/chaotic behavior of a continuous fermentor for the production of ethanol

Garhyan, Parag; Elnashaie, S.S.E.H.; Al-Haddad, Sara; Ibrahim, G.; Elshishini, S. S.

doi:10.1016/s0009-2509(02)00681-4

Cited by 40 publications

(46 citation statements)

References 35 publications

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“…Economics plays a major role in optimizing the choice of methods to further improve the conversion and productivity of a fermentor. The present investigation is an extension of the previous work by the authors (Garhyan et al, 2003). In this paper, the e ects of recycle of microorganism cells and unused sugars in a single and multiple membrane fermentors conÿgurations (two fermentors with variable volumes) are investigated.…”

Section: Introductionmentioning

confidence: 84%

Bifurcation analysis of two continuous membrane fermentor configurations for producing ethanol

Garhyan

Elnashaie

2004

Chemical Engineering Science

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Section: Introductionmentioning

confidence: 84%

Bifurcation analysis of two continuous membrane fermentor configurations for producing ethanol

Garhyan

Elnashaie

2004

Chemical Engineering Science

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“…14,15 It is widely used since it reproduces the ability of microalgae to uncouple substrate absorption and growth. Its simple structure made it possible to study and mathematically characterize its behavior.…”

Section: Bioreactor Model Developmentmentioning

confidence: 99%

“…14 Only several studies have been published for controlling biodiesel production, 15 therefore, we have been studied a dynamical model to predict the neutral lipid concentration changes and proposed a kinetic model extended for continuous operation to analyze the bifurcation properties considering nitrogen stress.…”

mentioning

confidence: 99%

Increasing of the Lipid Productivity Concentration in a Class of Continuous Culture via Dynamic Analysis and Closed-Loop Operation

López‐Pérez

Caballero²,

Ruiz-Camacho³

et al. 2017

ECB

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Good process control has often been criticized for the economic viability of large-scale production of several commercial products. In this work, the production of biodiesel from microalgae is investigated. Successful implementation of a model-based control strategy requires the identification of a model that properly captures the biochemical dynamics of microalgae, yet is simple enough to allow its implementation for controller design. This paper explores the biodiesel production in a class of continuous culture under heterotrophic conditions via closed-loop operation. A mathematical model adapted from Surisetty et al. (2010) that describe the growth of microalgae in a heterotrophic culture is studied via dynamic analysis. This model is extended to the continuous operation where bifurcation analysis was carried out for the determinate the qualitative model behavior and to analyze feasible operating conditions. This project is focused on the on the use of a mixture of two substrates that are continuously fed into the reactor chamber, and the continuous fermentation process is described by an unstructured mathematical model with a product inhibition on cell growth. In addition, we present the design of a nonlinear control law contains a class of bounded type feedback of the named control error in order to regulate the substrate concentration at maximum value to lead the lipids-diesel concentration indirectly. Lipid productivity in continuous culture was 0.276 g L -1 d -1 via a closed loop (increase of 31.5 %) over that of the continuous mode in open loop. Finally, numerical experiments proved the satisfactory performance of the proposed methodology in comparison with a linear PI controller.

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“…[Color figure can be viewed in the online issue, which is available at wileyonlinelibrary.com.] 58 tracks the concentrations of the following components: substrate (C S ), product (C P ), biomass (C X ), and the internal key component (C e ):…”

Section: :13pmentioning

confidence: 99%

Steady‐state process optimization with guaranteed robust stability under parametric uncertainty

Chang

Sahinidis

2011

AIChE Journal

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Interest in chemical processes that perform well in dynamic environments has led to the development of design methodologies that account for operational aspects of processes, including flexibility, operability, and controllability. In this article, we address the problem of identifying process designs that optimize an economic objective function and are guaranteed to be stable under parametric uncertainties. The underlying mathematical problem is difficult to solve as it involves infinitely many constraints, nonconvexities and multiple local optima. We develop a methodology that embeds robust stability constraints to steady-state process optimization formulations without any a priori bifurcation analysis. We propose a successive row and column generation algorithm to solve the resulting generalized semi-infinite programming problem to global optimality. The proposed methodology allows modeling different levels of robustness, handles uncertainty regions without overestimating them, and works for both unique and multiple steady states. We apply the proposed approach to a number of steady-state optimization problems and obtain the least conservative solutions that guarantee robust stability.

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Exploration and exploitation of bifurcation/chaotic behavior of a continuous fermentor for the production of ethanol

Cited by 40 publications

References 35 publications

Bifurcation analysis of two continuous membrane fermentor configurations for producing ethanol

Bifurcation analysis of two continuous membrane fermentor configurations for producing ethanol

Increasing of the Lipid Productivity Concentration in a Class of Continuous Culture via Dynamic Analysis and Closed-Loop Operation

Steady‐state process optimization with guaranteed robust stability under parametric uncertainty

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