Modeling and Parameter Identification of the Simultaneous Saccharification-Fermentation Process for Ethanol Production

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• 作者：Silvia Ochoa ; Ahrim Yoo ; Jens-Uwe Repke ; Gü ; nter Wozny ; Dae Ryook Yang
• 刊名：Biotechnology Progress
• 出版年：2007
• 出版时间：December 2007
• 年：2007
• 卷：23
• 期：6
• 页码：1454 - 1462
• 全文大小：148K
• 年卷期：v.23,no.6(December 2007)
• ISSN：1520-6033

文摘

Despite many environmental advantages of using alcohol as a fuel, there are still serious questionsabout its economical feasibility when compared with oil-based fuels. The bioethanol industryneeds 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 significantimprovements in process design, such as in the purification technologies for ethanol dehydration(molecular sieves, pressure swing adsorption, pervaporation, etc.) and in genetic modificationsof 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 asa simulated plant, as a soft sensor or as part of the control algorithm. Thus, toward developinggood, reliable, and simple but highly predictive models that can be used in the future foroptimization and process control applications, in this paper an unstructured and a cyberneticmodel are proposed and compared for the simultaneous saccharification-fermentation process(SSF) for the production of ethanol from starch by a recombinant Saccharomyces cerevisiaestrain. The cybernetic model proposed is a new one that considers the degradation of starch notonly into glucose but also into dextrins (reducing sugars) and takes into account the intracellularreactions occurring inside the cells, giving a more detailed description of the process. Furthermore,an identification procedure based on the Metropolis Monte Carlo optimization method coupledwith a sensitivity analysis is proposed for the identification of the model's parameters, employingexperimental data reported in the literature.