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Fuzzy optimization of continuous fermentations with cell recycling for ethanol production / Feng-Sheng Wang in Industrial & engineering chemistry research, Vol. 49 N° 5 (Mars 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 5 (Mars 2010) . - pp. 2306–2311 Titre : Fuzzy optimization of continuous fermentations with cell recycling for ethanol production Type de document : texte imprimé Auteurs : Feng-Sheng Wang, Auteur ; Hsun-Tung Lin, Auteur Année de publication : 2010 Article en page(s) : pp. 2306–2311 Note générale : Industrial Chemistry Langues : Anglais (eng) Mots-clés : Bioprocess;  Fermentation;  Ethanol Résumé : In this study, we considered a bioprocess optimization problem for continuous ethanol fermentation with cell recycling. The aim of the optimization problem was to obtain the maximum overall productivity and conversion subject to the interval inequality constraints for residual glucose concentration and the total amount of glucose supplied. The residual glucose not only leads to a loss of revenue but also can create environmental problems, such that employing both constraints has benefits for both operating costs and environmental impact. A fuzzy goal attainment method was introduced to the multiobjective problem in order to obtain a trade-off solution. From the computational results, the overall productivity of the continuous fermentation process with cell recycling allowed for a higher dilution rate, such that the overall productivity was about 7.3-fold higher than that of a continuous mixed-flow fermentation process. Note de contenu : Bibliogr. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901066a [article] Fuzzy optimization of continuous fermentations with cell recycling for ethanol production [texte imprimé] / Feng-Sheng Wang, Auteur ; Hsun-Tung Lin, Auteur . - 2010 . - pp. 2306–2311. Industrial Chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 5 (Mars 2010) . - pp. 2306–2311 Mots-clés : Bioprocess;  Fermentation;  Ethanol Résumé : In this study, we considered a bioprocess optimization problem for continuous ethanol fermentation with cell recycling. The aim of the optimization problem was to obtain the maximum overall productivity and conversion subject to the interval inequality constraints for residual glucose concentration and the total amount of glucose supplied. The residual glucose not only leads to a loss of revenue but also can create environmental problems, such that employing both constraints has benefits for both operating costs and environmental impact. A fuzzy goal attainment method was introduced to the multiobjective problem in order to obtain a trade-off solution. From the computational results, the overall productivity of the continuous fermentation process with cell recycling allowed for a higher dilution rate, such that the overall productivity was about 7.3-fold higher than that of a continuous mixed-flow fermentation process. Note de contenu : Bibliogr. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901066a

Optimization of a fed-batch simultaneous saccharification and cofermentation process from lignocellulose to ethanol / Ming-Liang Chen in Industrial & engineering chemistry research, Vol. 49 N° 12 (Juin 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 12 (Juin 2010) . - pp. 5775–5785 Titre : Optimization of a fed-batch simultaneous saccharification and cofermentation process from lignocellulose to ethanol Type de document : texte imprimé Auteurs : Ming-Liang Chen, Auteur ; Feng-Sheng Wang, Auteur Année de publication : 2010 Article en page(s) : pp. 5775–5785 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : imultaneous  saccharification  Fed-batch  process  Ethanol Résumé : This paper presents the design of optimal control policies for a fed-batch process of simultaneous saccharification and cofermentation to produce ethanol from lignocellulose using enzymes and a recombinant yeast. The goal of the optimal design herein is to find the optimal feed rate, temperature, feed lignocellulosic concentration, and fermentation time that maximizes the ethanol production rate under the constraints of operational restrictions. We applied an Arrhenius relationship to each rate constant to express the temperature effect on the kinetic model for both saccharification and fermentation. Good bioreactor performance not only is defined as the maximum production rate yielded but also considers follow-up separation specifications as the constraints for the optimization problem. Additional restrictions were also considered in the optimization problem to cope with operating costs and environmental impact. Both crisp and fuzzy optimization methods are applied to solve the problem. The fuzzy optimization approach more flexibly obtains a compromised design compared with the crisp optimization method. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie1001982 [article] Optimization of a fed-batch simultaneous saccharification and cofermentation process from lignocellulose to ethanol [texte imprimé] / Ming-Liang Chen, Auteur ; Feng-Sheng Wang, Auteur . - 2010 . - pp. 5775–5785. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 12 (Juin 2010) . - pp. 5775–5785 Mots-clés : imultaneous  saccharification  Fed-batch  process  Ethanol Résumé : This paper presents the design of optimal control policies for a fed-batch process of simultaneous saccharification and cofermentation to produce ethanol from lignocellulose using enzymes and a recombinant yeast. The goal of the optimal design herein is to find the optimal feed rate, temperature, feed lignocellulosic concentration, and fermentation time that maximizes the ethanol production rate under the constraints of operational restrictions. We applied an Arrhenius relationship to each rate constant to express the temperature effect on the kinetic model for both saccharification and fermentation. Good bioreactor performance not only is defined as the maximum production rate yielded but also considers follow-up separation specifications as the constraints for the optimization problem. Additional restrictions were also considered in the optimization problem to cope with operating costs and environmental impact. Both crisp and fuzzy optimization methods are applied to solve the problem. The fuzzy optimization approach more flexibly obtains a compromised design compared with the crisp optimization method. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie1001982