Corn stover semi-mechanistic enzymatic hydrolysis model with tight parameter confidence intervals for model-based process design and optimization

Felipe Scott, Muyang Li, Daniel L. Williams, Raúl Conejeros, David B. Hodge, Germán Aroca

Research output: Contribution to journalArticle

  • 3 Citations

Abstract

Uncertainty associated to the estimated values of the parameters in a model is a key piece of information for decision makers and model users. However, this information is typically not reported or the confidence intervals are too large to be useful. A semi-mechanistic model for the enzymatic saccharification of dilute acid pretreated corn stover is proposed in this work, the model is a modification of an existing one providing a statistically significant improved fit towards a set of experimental data that includes varying initial solid loadings (10-25% w/w) and the use of the pretreatment liquor and washed solids with or without supplementation of key inhibitors. A subset of 8 out of 17 parameters was identified, showing sufficiently tight confidence intervals to be used in uncertainty propagation and model analysis, without requiring interval truncation via expert judgment.

LanguageEnglish (US)
Pages255-265
Number of pages11
JournalBioresource Technology
Volume177
DOIs
StatePublished - Feb 1 2015

Profile

Enzymatic hydrolysis
confidence interval
Zea mays
Uncertainty
hydrolysis
Process design
Hydrolysis
maize
Confidence Intervals
Acids
Saccharification
inhibitor
parameter
acid
Datasets

Keywords

  • Biofuels
  • Enzymatic hydrolysis
  • High-solids saccharification
  • Kinetic model
  • Lignocellulose

ASJC Scopus subject areas

  • Bioengineering
  • Environmental Engineering
  • Waste Management and Disposal
  • Medicine(all)

Cite this

Corn stover semi-mechanistic enzymatic hydrolysis model with tight parameter confidence intervals for model-based process design and optimization. / Scott, Felipe; Li, Muyang; Williams, Daniel L.; Conejeros, Raúl; Hodge, David B.; Aroca, Germán.

In: Bioresource Technology, Vol. 177, 01.02.2015, p. 255-265.

Research output: Contribution to journalArticle

Scott, Felipe ; Li, Muyang ; Williams, Daniel L. ; Conejeros, Raúl ; Hodge, David B. ; Aroca, Germán. / Corn stover semi-mechanistic enzymatic hydrolysis model with tight parameter confidence intervals for model-based process design and optimization. In: Bioresource Technology. 2015 ; Vol. 177. pp. 255-265
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