Abstract
In this article, a kinetic model for the enzymatic transesterification of rapeseed oil with
methanol using CalleraTM Trans L (a liquid formulation of a modified Thermomyces lanuginosus
lipase) was developed from first principles. We base the model formulation on a Ping-
Pong Bi-Bi mechanism. Methanol inhibition, along with the interfacial and bulk concentrations
of the enzyme was also modeled. The model was developed to describe the effect of different
oil compositions, as well as different water, enzyme, and methanol concentrations,
which are relevant conditions needed for process evaluation, with respect to the industrial
production of biodiesel. The developed kinetic model, coupled with a mass balance of the
system, was fitted to and validated on experimental results for the fed-batch transesterification
of rapeseed oil. The confidence intervals of the parameter estimates, along with the
identifiability of the model parameters were presented. The predictive capability of the model
was tested for a case using 0.5% (wt. Enzyme/wt. Oil), 0.5% (wt. Water /wt. Oil) and feeding
1.5 times the stoichiometric amount of methanol in total over 24 h. For this case, an optimized
methanol feeding profile that constrains the amount of methanol in the reactor was
computed and the predictions experimentally validated. Monte-Carlo simulations were then
used to characterize the effect of the parameter uncertainty on the model outputs, giving a
biodiesel yield, based on the mass of oil, of 90.8 ± 0.55 mass %. © 2014 American Institute
of Chemical Engineers
Original language | English |
---|---|
Journal | Biotechnology Progress |
Volume | 30 |
Issue number | 6 |
Pages (from-to) | 1277–1290 |
Number of pages | 14 |
ISSN | 8756-7938 |
DOIs | |
Publication status | Published - 2014 |
Keywords
- Enzymatic Biodiesel
- Kinetic modeling
- Transesterification
- Uncertainty analysis