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| Content Provider | Springer Nature Link |
|---|---|
| Author | Murthy, Ganti S. Johnston, David B. Rausch, Kent D. Tumbleson, M. E. Singh, Vijay |
| Copyright Year | 2011 |
| Abstract | Ethanol from corn is produced using dry grind corn process in which simultaneous saccharification and fermentation (SSF) is one of the most critical unit operations. In this work an optimal controller based on a previously validated SSF model was developed by formulating the SSF process as a Bolza problem and using gradient descent methods. Validation experiments were performed to evaluate the performance of optimal controller under different process disturbances that are likely to occur in practice. Use of optimal control algorithm for the SSF process resulted in lower peak glucose concentration, similar ethanol yields (13.38±0.36% v/v and 13.50±0.15% v/v for optimally controlled and baseline experiments, respectively). Optimal controller improved final ethanol concentrations as compared to process without optimal controller under conditions of temperature (13.35±1.28 and 12.52±1.19% v/v for optimal and no optimal control, respectively) and pH disturbances (12.65±0.74 and 11.86±0.49% v/v for optimal and no optimal control, respectively). Cost savings due to lower enzyme usage and reduced cooling requirement were estimated to be up to $1 million for a 151 million L/yr (40 million gal/yr) dry grind plant. |
| Starting Page | 87 |
| Ending Page | 111 |
| Page Count | 25 |
| File Format | |
| ISSN | 02732289 |
| Journal | Applied Biochemistry and Biotechnology |
| Volume Number | 166 |
| Issue Number | 1 |
| e-ISSN | 15590291 |
| Language | English |
| Publisher | Humana Press Inc |
| Publisher Date | 2011-11-25 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Dry grind corn ethanol Saccharomyces cerevisiae Cybernetic model SSF process Optimal controller Gradient descent Process disturbances Biochemistry Biotechnology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine Molecular Biology Environmental Engineering Biochemistry Bioengineering Applied Microbiology and Biotechnology Biotechnology |
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