| 학회 | 한국화학공학회 |
| 학술대회 | 2007년 봄 (04/19 ~ 04/20, 울산 롯데호텔) |
| 권호 | 13권 1호, p.101 |
| 발표분야 | 공정시스템 |
| 제목 | Cybernetic Modeling of Simultaneous Saccharification & Fermentation (SSF) Process for Bio-ethanol Production |
| 초록 | The SSF process shows highly nonlinear behavior because the metabolic pathway of yeast is composed by a series of enzyme-catalyzed reactions. Kompala et al. (1986) proposed a cybernetic modeling method to describe the growth behavior of microorganisms. This method can describe the nonlinear behavior by means of two cybernetic variables instead of considering all biochemical reactions inside the cell. Altintas et al. (2002) applied this method to describe the diauxic growth pattern observed experimentally in SSF process. Although the model was simple and seems to have industrial applicability as the authors concluded, it could be seen that the model fails especially for predicting the ethanol and starch dynamic behavior. Looking for a better description of the process for future applications on process control and optimization, we proposed a new cybernetic model following a more complete pathway which was built based on the KEGG database. Optimization based on Monte Carlo method was used for the parameter estimation. This research was supported by The German Academic Exchange (DAAD) program. |
| 저자 | 유아림1, Silvia Ochoa2, Jens-Uwe Repke2, Güter Wozny2, 양대륙1 |
| 소속 | 1고려대, 2Technische Universität Berlin |
| 키워드 | Cybernetic modeling; SSF; Bio-ethanol process |
| VOD | VOD 보기 |
| 원문파일 | 초록 보기 |
