TY - JOUR
T1 - Kinetic Compensation Effect in Logistic Distributed Activation Energy Model for Lignocellulosic Biomass Pyrolysis
AU - Xu, Di
AU - Chai, Meiyun
AU - Dong, Zhujun
AU - Rahman, Md.Maksudur
AU - Yu, Xi
AU - Cai, Junmeng
N1 - © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
PY - 2018/10/1
Y1 - 2018/10/1
N2 - The kinetic compensation effect in the logistic distributed activation energy model (DAEM) for lignocellulosic biomass pyrolysis was investigated. The sum of square error (SSE) surface tool was used to analyze two theoretically simulated logistic DAEM processes for cellulose and xylan pyrolysis. The logistic DAEM coupled with the pattern search method for parameter estimation was used to analyze the experimental data of cellulose pyrolysis. The results showed that many parameter sets of the logistic DAEM could fit the data at different heating rates very well for both simulated and experimental processes, and a perfect linear relationship between the logarithm of the frequency factor and the mean value of the activation energy distribution was found. The parameters of the logistic DAEM can be estimated by coupling the optimization method and isoconversional kinetic methods. The results would be helpful for chemical kinetic analysis using DAEM.
AB - The kinetic compensation effect in the logistic distributed activation energy model (DAEM) for lignocellulosic biomass pyrolysis was investigated. The sum of square error (SSE) surface tool was used to analyze two theoretically simulated logistic DAEM processes for cellulose and xylan pyrolysis. The logistic DAEM coupled with the pattern search method for parameter estimation was used to analyze the experimental data of cellulose pyrolysis. The results showed that many parameter sets of the logistic DAEM could fit the data at different heating rates very well for both simulated and experimental processes, and a perfect linear relationship between the logarithm of the frequency factor and the mean value of the activation energy distribution was found. The parameters of the logistic DAEM can be estimated by coupling the optimization method and isoconversional kinetic methods. The results would be helpful for chemical kinetic analysis using DAEM.
UR - https://www.sciencedirect.com/science/article/pii/S0960852418307600
U2 - 10.1016/j.biortech.2018.05.092
DO - 10.1016/j.biortech.2018.05.092
M3 - Article
SN - 0960-8524
VL - 265
SP - 139
EP - 145
JO - Bioresource Technology
JF - Bioresource Technology
ER -