Dynamical modeling of alcoholic fermentation and its link with nitrogen consumption

David, Robert; Dochain, Denis; Mouret, Jean-Roch; Wouwer, Alain Vande; Sablayrolles, Jean‐Marie

doi:10.3182/20100707-3-be-2012.0095

Cited by 21 publications

(28 citation statements)

References 9 publications

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“…The model of the batch fermentation considered in this paper is the one described in David et al [2010]. It is based on the following reaction scheme:…”

Section: Model Of the Batch Fermentationmentioning

confidence: 99%

Control of a Multi-Stage Continuous Fermentor for the study of the wine fermentation

Casenave

Dochain

Harmand

et al. 2014

IFAC Proceedings Volumes

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APPLICATION PAPER PRIZE (APP)International audienceYeasts play a central role in the wine making process. To study the yeasts in a stable environment and physiological state, a Multi-Stage Continuous Fermentor (MSCF) has been designed that mimics steps of the batch fermentation process. In this paper, the problem of the control of the sugar concentrations in each of the four reactors of the MSCF is considered. The cascade structure of the device leads to a constraint on the input flow rates (the control variables). A control strategy based on a linearizing control law coupled with a state observer and an anti windup component is proposed and finally implemented on the experimental process

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“…The model of the batch fermentation considered in this paper is the one described in David et al [2010]. It is based on the following reaction scheme:…”

Section: Model Of the Batch Fermentationmentioning

confidence: 99%

Control of a Multi-Stage Continuous Fermentor for the study of the wine fermentation

Casenave

Dochain

Harmand

et al. 2014

IFAC Proceedings Volumes

Self Cite

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“…Zymomonas mobilis is also attracting more attention for bioethanol production due to less process limitations [14,15]. Different experimental studies in this regard revealed that optimum ethanol production up to 55.8 g L −1 can be achieved by Zymomonas mobilis at 30°C after 48 h of retention time [16,17].…”

Section: Microbial Fermentationmentioning

confidence: 99%

Potential of Cellulosic Ethanol to Overcome Energy Crisis in Pakistan

Mirza¹,

Rehman²,

Mahmood³

et al. 2017

Frontiers in Bioenergy and Biofuels

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Liquid biofuel industry in Pakistan may become a promising source for saving our foreign exchange and environment. Currently, bioethanol production is dependent on cane molasses, a product of sugar industry. Harnessing of more bioethanol from lignocellulosic waste crop residue has potential to respond to the fuel scarcity. Lignocellulose exists in nature as a polymer and serves as the largest sink for fixed global carbon and could be used both as a carbon source for microbial growth-assisted bioethanol production and for fabricating enzymes for more energetic simultaneous production to represent an important segment of the renewable energy sector. An exciting aspect of this research is the development of new biorefining techniques that facilitate the extraction of sugarderived biofuel by processing of waste crop residues by employing novel nature inspired lignolytic enzyme. Further research will explore more avenues for stabilization of system in terms of process parameters for optimum bioethanol yield from enzymatically hydrolyzed lignin waste streams. The chapter can be considered as an anticipatory work and exploration of new dimensions for promotion of nature-inspired enzyme-assisted lignocellulose-based bioethanol production industry, which maximizes sustainable development opportunities especially in energy sector.

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“…In this section, we discuss a refined model of the wine fermentation process. We combine features of the models in and , and we include additional terms and capabilities. The unknown variables of the system are the space–time dependent functions representing the yeast biomass concentration X , the concentrations of nitrogen N , oxygen O , sugar S , and ethanol E , and the temperature T .…”

Section: Fermentation Model Equationsmentioning

confidence: 99%

“…Regarding models of wine fermentation, we refer to and , where the evolution of the yeast biomass together with the concentrations of nitrogen, sugar, and ethanol are modeled. In this model, the growth of the yeast population that consumes nitrogen is governed by a Michaelis–Menten term, which is often used for the description of enzymatic biological reactions .…”

Section: Introductionmentioning

confidence: 99%

Optimal control of a system of reaction–diffusion equations modeling the wine fermentation process

Merger

Borzì

Herzog

2016

Optim Control Appl Methods

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SUMMARYThe investigation of a reaction-diffusion system with new nonlinear reactions kinetics to model the fermentation of wine is presented. The reactive part extends existing ordinary differential models by taking into account oxygen availability and ethanol toxicity. The presence of spatial diffusion and the inclusion of a heat equation allow geometrical and thermal effects in the model. Existence, uniqueness, and regularity of solutions to this system of reaction-diffusion partial differential equations are discussed. A boundary optimal control problem is formulated with the purpose of steering an ideal fermentation process. This optimal control problem is theoretically investigated and numerically solved in the adjoint method framework. The existence of an optimal control is proved, and its solution is characterized by means of the corresponding optimality system. To solve this system, an implicit-explicit splitting approach is considered, and a BroydenFletcher-Goldfarb-Shanno (BFGS) optimization scheme is implemented. Results of numerical experiments demonstrate the validity of the fermentation model and of the proposed control strategy.

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Dynamical modeling of alcoholic fermentation and its link with nitrogen consumption

Cited by 21 publications

References 9 publications

Control of a Multi-Stage Continuous Fermentor for the study of the wine fermentation

Control of a Multi-Stage Continuous Fermentor for the study of the wine fermentation

Potential of Cellulosic Ethanol to Overcome Energy Crisis in Pakistan

Optimal control of a system of reaction–diffusion equations modeling the wine fermentation process

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