Optimal control strategy for fed-batch enzymatic hydrolysis of lignocellulosic biomass based on epidemic modeling

Chao Tai, Deepak R. Keshwani, Diego S. Voltan, Pankaj S. Kuhar, Aaron J. Engel

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

A mathematical optimal control strategy for feeding operation was developed for fed-batch enzymatic hydrolysis of dilute acid pretreated lignocellulosic biomass based on a modified epidemic model. Cellulose conversion was maximized and glucose concentration achieved highest possible value over a fixed hydrolysis time. Boundaries of feeding rate and lignin content were set for feasible controls. Using the optimal control feeding strategy, glucose concentration and accumulated cellulose conversion reached up to 77.31g/L and 72.08% in 100h, which are 108.76% and 37.50% higher than in batch hydrolysis with same amount of enzyme consumption. Solids content in feeding source has a significant interference on system mass transfer. Optimal control is a useful tool for guiding operations in fed-batch and continuous processes as it enables process optimization through clear objective functions and feasible controls.

Original languageEnglish (US)
Pages (from-to)1376-1382
Number of pages7
JournalBiotechnology and Bioengineering
Volume112
Issue number7
DOIs
StatePublished - Jul 1 2015

Keywords

  • Biofuels
  • Enzymatic hydrolysis
  • Epidemic model
  • Fed-batch
  • Optimal control

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology

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