Modeling and parameter identification of the simultaneous saccharification-fermentation process for ethanol production

Silvia Ochoa, Ahrim Yoo, Jens U. Repke, Günter Wozny, Dae Ryook Yang

Research output: Contribution to journalArticle

26 Citations (Scopus)

Abstract

Despite many environmental advantages of using alcohol as a fuel, there are still serious questions about its economical feasibility when compared with oil-based fuels. The bioethanol industry needs to be more competitive, and therefore, all stages of its production process must be simple, inexpensive, efficient, and "easy" to control. In recent years, there have been significant improvements in process design, such as in the purification technologies for ethanol dehydration (molecular sieves, pressure swing adsorption, pervaporation, etc.) and in genetic modifications of microbial strains. However, a lot of research effort is still required in optimization and control, where the first step is the development of suitable models of the process, which can be used as a simulated plant, as a soft sensor or as part of the control algorithm. Thus, toward developing good, reliable, and simple but highly predictive models that can be used in the future for optimization and process control applications, in this paper an unstructured and a cybernetic model are proposed and compared for the simultaneous saccharification- fermentation process (SSF) for the production of ethanol from starch by a recombinant Saccharomyces cerevisiae strain. The cybernetic model proposed is a new one that considers the degradation of starch not only into glucose but also into dextrins (reducing sugars) and takes into account the intracellular reactions occurring inside the cells, giving a more detailed description of the process. Furthermore, an identification procedure based on the Metropolis Monte Carlo optimization method coupled with a sensitivity analysis is proposed for the identification of the model's parameters, employing experimental data reported in the literature.

Original languageEnglish
Pages (from-to)1454-1462
Number of pages9
JournalBiotechnology Progress
Volume23
Issue number6
DOIs
Publication statusPublished - 2007 Nov 1

Fingerprint

Cybernetics
saccharification
ethanol production
Starch
Fermentation
Microbial Genetics
Ethanol
Dextrins
fermentation
Monte Carlo Method
Dehydration
Adsorption
Saccharomyces cerevisiae
Industry
Oils
Alcohols
Technology
Pressure
Glucose
pervaporation

ASJC Scopus subject areas

  • Food Science
  • Biotechnology
  • Microbiology

Cite this

Modeling and parameter identification of the simultaneous saccharification-fermentation process for ethanol production. / Ochoa, Silvia; Yoo, Ahrim; Repke, Jens U.; Wozny, Günter; Yang, Dae Ryook.

In: Biotechnology Progress, Vol. 23, No. 6, 01.11.2007, p. 1454-1462.

Research output: Contribution to journalArticle

Ochoa, Silvia ; Yoo, Ahrim ; Repke, Jens U. ; Wozny, Günter ; Yang, Dae Ryook. / Modeling and parameter identification of the simultaneous saccharification-fermentation process for ethanol production. In: Biotechnology Progress. 2007 ; Vol. 23, No. 6. pp. 1454-1462.
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