Citation

BibTex format

@article{Li:2014:10.1021/ef501380c,
author = {Li, K-Y and Huang, X and Fleischmann, C and Rein, G and Ji, J},
doi = {10.1021/ef501380c},
journal = {Energy & Fuels},
pages = {6130--6139},
title = {Pyrolysis of Medium-Density Fiberboard: Optimized Search for Kinetics Scheme and Parameters via a Genetic Algorithm Driven by Kissinger's Method},
url = {http://dx.doi.org/10.1021/ef501380c},
volume = {28},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - The pyrolysis kinetics of charring materials plays an important role in understanding material combustionsespecially for construction materials with complex degradation chemistry. Thermogravimetric analysis (TGA) is frequently usedto study the heterogeneous kinetics of solid fuels; however, there is no agreed method to determine the pyrolysis scheme andkinetic parameters for charring polymers with multiple components and competing reaction pathways. This study develops a newtechnique to estimate the possible numbers of species and sub-reactions in pyrolysis by analyzing the second derivatives ofthermogravimetry (DDTG) curves. The pyrolysis of a medium-density fiberboard (MDF) in nitrogen is studied in detail, and theDDTG curves are used to locate the temperature of the peak mass-loss rate for each sub-reaction. Then, on the basis of the TGdata under multiple heating rates, Kissinger’s method is used to quickly find the possible range of values of the kinetic parameters(A and E). These ranges are used to accelerate the optimization of the inverse problem using a genetic algorithm (GA) for thekinetic and stoichiometric parameters. The proposed method and kinetic scheme found are shown to match the experimentaldata and are able to predict accurately results at different heating rates better than Kissinger’s method. Moreover, the searchmethod (K−K method) is highly efficient, faster than the regular GA search alone. Modeling results show that, as the TG dataavailable increase, the interdependence among kinetic parameters becomes weak and the accuracy of the first-order modeldeclines. Furthermore, conducting TG experiment under multiple heating rates is found to be crucial in obtaining good kineticparameters.
AU - Li,K-Y
AU - Huang,X
AU - Fleischmann,C
AU - Rein,G
AU - Ji,J
DO - 10.1021/ef501380c
EP - 6139
PY - 2014///
SN - 1520-5029
SP - 6130
TI - Pyrolysis of Medium-Density Fiberboard: Optimized Search for Kinetics Scheme and Parameters via a Genetic Algorithm Driven by Kissinger's Method
T2 - Energy & Fuels
UR - http://dx.doi.org/10.1021/ef501380c
UR - http://hdl.handle.net/10044/1/25684
VL - 28
ER -

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