The Use of Nonlinearity Measures in the Estimation of Kinetic Parameters of Sugarcane Bagasse Pyrolysis

The majority of the pyrolysis kinetics models presented in the literature is nonlinear. In these models, the influence of temperature is normally described by the Arrhenius equation. In some studies related to parameter estimation of nonlinear models suggestions can be found for reparameterization o...

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Published inChemical engineering & technology Vol. 33; no. 10; pp. 1699 - 1705
Main Authors Lira, T. S., Santos, K. G., Murata, V. V., Gianesella, M., Barrozo, M. A. S.
Format Journal Article
LanguageEnglish
Published Weinheim WILEY-VCH Verlag 01.10.2010
WILEY‐VCH Verlag
Wiley-VCH
Subjects
Applied sciences
Chemical engineering
Exact sciences and technology
Kinetics
Nonlinearity measures
Pyrolysis
Sugarcane bagasse
Kinetic model
Pyrolysis
Parameter estimation
Parallel reaction
Bias
Non linear model
Prediction
Nonlinearity
Biomass
Kinetic parameter
Modeling
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Abstract The majority of the pyrolysis kinetics models presented in the literature is nonlinear. In these models, the influence of temperature is normally described by the Arrhenius equation. In some studies related to parameter estimation of nonlinear models suggestions can be found for reparameterization of the Arrhenius‐type equation due to inadequate results on the parameter estimation. In this work, kinetic modeling is proposed in order to predict the primary biomass decomposition behavior under a dynamic regime. This model is based on the traditional model of parallel reactions and uses the Arrhenius‐type equation in the reparameterized form. Some nonlinearity measures are used as a tool to correctly estimate the kinetic parameters of the pyrolysis of sugarcane bagasse. The predictions from the proposed model properly reproduced the experimental DTG curves. The reparametrized model showed non‐significance for bias and nonlinearity measures. Some procedures are used to validate the statistical properties of the least‐squares estimators of nonlinear models. This study focuses on the use of nonlinearity measures in the estimation of kinetic parameters of sugarcane bagasse pyrolysis. A reparametrized model is proposed in order to predict the primary biomass decomposition behavior under dynamic regime.
AbstractList Abstract The majority of the pyrolysis kinetics models presented in the literature is nonlinear. In these models, the influence of temperature is normally described by the Arrhenius equation. In some studies related to parameter estimation of nonlinear models suggestions can be found for reparameterization of the Arrhenius‐type equation due to inadequate results on the parameter estimation. In this work, kinetic modeling is proposed in order to predict the primary biomass decomposition behavior under a dynamic regime. This model is based on the traditional model of parallel reactions and uses the Arrhenius‐type equation in the reparameterized form. Some nonlinearity measures are used as a tool to correctly estimate the kinetic parameters of the pyrolysis of sugarcane bagasse. The predictions from the proposed model properly reproduced the experimental DTG curves. The reparametrized model showed non‐significance for bias and nonlinearity measures.
The majority of the pyrolysis kinetics models presented in the literature is nonlinear. In these models, the influence of temperature is normally described by the Arrhenius equation. In some studies related to parameter estimation of nonlinear models suggestions can be found for reparameterization of the Arrhenius‐type equation due to inadequate results on the parameter estimation. In this work, kinetic modeling is proposed in order to predict the primary biomass decomposition behavior under a dynamic regime. This model is based on the traditional model of parallel reactions and uses the Arrhenius‐type equation in the reparameterized form. Some nonlinearity measures are used as a tool to correctly estimate the kinetic parameters of the pyrolysis of sugarcane bagasse. The predictions from the proposed model properly reproduced the experimental DTG curves. The reparametrized model showed non‐significance for bias and nonlinearity measures. Some procedures are used to validate the statistical properties of the least‐squares estimators of nonlinear models. This study focuses on the use of nonlinearity measures in the estimation of kinetic parameters of sugarcane bagasse pyrolysis. A reparametrized model is proposed in order to predict the primary biomass decomposition behavior under dynamic regime.
Author Lira, T. S.
Santos, K. G.
Gianesella, M.
Barrozo, M. A. S.
Murata, V. V.
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  organization: Federal University of Uberlândia, School of Chemical Engineering, Uberlândia, MG, Brazil
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Issue 10
Keywords Kinetic model
Pyrolysis
Parameter estimation
Parallel reaction
Bias
Non linear model
Prediction
Nonlinearity
Biomass
Kinetic parameter
Modeling
Language English
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Snippet The majority of the pyrolysis kinetics models presented in the literature is nonlinear. In these models, the influence of temperature is normally described by...
Abstract The majority of the pyrolysis kinetics models presented in the literature is nonlinear. In these models, the influence of temperature is normally...
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SubjectTerms Applied sciences
Chemical engineering
Exact sciences and technology
Kinetics
Nonlinearity measures
Pyrolysis
Sugarcane bagasse
Title The Use of Nonlinearity Measures in the Estimation of Kinetic Parameters of Sugarcane Bagasse Pyrolysis
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