In this paper, a macroscopic model of yeast culture is presented in the context of bioethanol production optimization. A discussion of the model formulation, based on the seminal work of Sonnleitner and Käppeli, is provided. A parameter identification of the resulting model is first performed and the dispersion of the parameter values is explained through a sensitivity analysis. Following the continuous process stability analysis, a closed-loop optimization of the bioethanol outflow rate using a model-free extremum-seeking algorithm is suggested. Numerical results show the efficiency of the method and its consistency with respect to a realistic time-scale performance
Three different case studies addressing the specification of system performance and estimation of op...
Bioethanol synthesis techniques have been studied intensively due to the energy crisis and various e...
During the past decades, intensive research has been pursued on the development of kinetic models to...
The use of low cost and abundant corn stover in yeast fermentation can reduce product costs. In this...
Oleaginous yeasts are microbial factories capable of conve rting carbohydrates and fat substrates in...
Production of bioethanol from oil palm empty fruit bunches (EFB) by Saccharomyces cerevisae and As...
The accurate description of the kinetics and robust modeling of biotechnological processes can only ...
Alternative to the use of fossil fuels are biofuels (e.g., bioethanol, biodiesel and biogas), which ...
Production of Saccharomyces cerevisiae yeast for applications in the food industry or in bioethanol ...
In this work, a systematic method to support the building of bioprocess models through the use of di...
Saccharomyces cerevisiae, also known as Baker or brewer yeast, is an important microorganism which t...
In this study, an infeasible path optimization algorithm was developed to estimate parameters in uns...
A systematic approach to cycle-to-cycle optimization of fed-batch cultures for determining the optim...
A macroscopic model describing the main physiological phenomena observed during the fed-batch baker’...
A statistical model was developed in this study to describe bioethanol production through a batch fe...
Three different case studies addressing the specification of system performance and estimation of op...
Bioethanol synthesis techniques have been studied intensively due to the energy crisis and various e...
During the past decades, intensive research has been pursued on the development of kinetic models to...
The use of low cost and abundant corn stover in yeast fermentation can reduce product costs. In this...
Oleaginous yeasts are microbial factories capable of conve rting carbohydrates and fat substrates in...
Production of bioethanol from oil palm empty fruit bunches (EFB) by Saccharomyces cerevisae and As...
The accurate description of the kinetics and robust modeling of biotechnological processes can only ...
Alternative to the use of fossil fuels are biofuels (e.g., bioethanol, biodiesel and biogas), which ...
Production of Saccharomyces cerevisiae yeast for applications in the food industry or in bioethanol ...
In this work, a systematic method to support the building of bioprocess models through the use of di...
Saccharomyces cerevisiae, also known as Baker or brewer yeast, is an important microorganism which t...
In this study, an infeasible path optimization algorithm was developed to estimate parameters in uns...
A systematic approach to cycle-to-cycle optimization of fed-batch cultures for determining the optim...
A macroscopic model describing the main physiological phenomena observed during the fed-batch baker’...
A statistical model was developed in this study to describe bioethanol production through a batch fe...
Three different case studies addressing the specification of system performance and estimation of op...
Bioethanol synthesis techniques have been studied intensively due to the energy crisis and various e...
During the past decades, intensive research has been pursued on the development of kinetic models to...