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Title:

Consortium of Simplified Kinetic Models: an Alternate Approach for Describing the Behaviour of Sugarcane Bagasse Enzymatic Hydrolysis

Author(s):

Furlong, V.B., Giordano, R.C., Giordano, R.L.C., Jacob, L., Lima, F., Ribeiro, M.P.A.

Document(s):

Paper Paper

Poster Poster

Abstract:

Modeling lignocellulosic biomass enzymatic hydrolysis is complex. Choosing a models becomes exponentially challenging, since a wide variety of formulations may be equally applicable to a system. This work focuses on the task of choosing a congregation of different semi-mechanistic Michaelis-Menten models using fuzzy logic to combine more than one group of reaction rates that best fit sugarcane bagasse enzymatic hydrolysis under batch and fed-batch operations. Data were obtained from batch and fed-batch enzymatic hydrolysis of sugarcane bagasse. Five stoichiometric equation were considered, and in 4, 4 different Michaelis-Menten were applied, pseudo-homogenous and modified with and without product inhibition, and in the last, three types of inhibition were tested. After a first selection of the models, the concentration of solids proved to interfere with the fitting. Thus, two groups of models were then optimized for high and low solids concentration, as well as a fuzzy rule to regulate the change between the models. Results show that the utilization of a Fuzzy membership function to regulate a consortium of models can greatly improve modeling and ensure a more accurate prediction of a desired variable.

Keywords:

bioethanol, biorefinery, lignocellulose sources

Topic:

Biomass Conversion Technologies for Fuels, Chemicals and Materials

Subtopic:

Bio-alcohols from lignocellulosic biomass and pretreatment

Event:

26th European Biomass Conference and Exhibition

Session:

3DV.4.13

Pages:

1174 - 1182

ISBN:

978-88-89407-18-9

Paper DOI:

10.5071/26thEUBCE2018-3DV.4.13

Price:

FREE