Estimation of Biomass Enzymatic Hydrolysis State in Stirred Tank Reactor through Moving Horizon Algorithms with Fixed and Dynamic Fuzzy Weights

Estimation of Biomass Enzymatic Hydrolysis State in Stirred Tank Reactor through Moving Horizon Algorithms with Fixed and Dynamic Fuzzy Weights

Second generation ethanol faces challenges before profitable implementation. Biomass hydrolysis is one of the bottlenecks, especially when this process occurs at high solids loading and with enzymatic catalysts. Under this setting, kinetic modeling and reaction monitoring are hindered due to the con...

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Bibliographic Details
Main Authors: Vitor B. Furlong, Luciano J. Corrêa, Fernando V. Lima, Roberto C. Giordano, Marcelo P. A. Ribeiro
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Processes
Subjects:
artificial neural network
biomass enzymatic hydrolysis
fuzzy logic
local linear model tree
moving horizon estimation
process monitoring
Online Access:https://www.mdpi.com/2227-9717/8/4/407

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