Abstract
| Language | English |
|---|---|
| Pages | 296-305 |
| Number of pages | 10 |
| Journal | Energy Conversion and Management |
| Volume | 172 |
| Early online date | 14 Jul 2018 |
| DOIs | |
| Publication status | Published - 15 Sep 2018 |
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Keywords
- biomass pyrolysis
- reaction kinetics
- peak shape
- deconvolution model
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Quantitatively modelling kinetics through a visual analysis of the derivative thermogravimetric curves : application to biomass pyrolysis. / Martí-Rosselló, Teresa; Li, Jun; Lue, Leo.
In: Energy Conversion and Management, Vol. 172, 15.09.2018, p. 296-305.Research output: Contribution to journal › Article
TY - JOUR
T1 - Quantitatively modelling kinetics through a visual analysis of the derivative thermogravimetric curves
T2 - Energy Conversion and Management
AU - Martí-Rosselló, Teresa
AU - Li, Jun
AU - Lue, Leo
PY - 2018/9/15
Y1 - 2018/9/15
N2 - Analytic relations are developed that directly link visually observable features of differential thermogravimetric (DTG) curves (e.g., peak temperature, height, width, skewness and conversion at the peak) to the parameters of chemical reaction kinetics models (e.g., activation energy and prefactor), which can be used to study the thermal decomposition of solid fuels. General expressions suitable for any reaction model are provided, as well as explicit expressions for nth order reactions with a rate constant given by the Arrhenius equation. This approach is illustrated for the pyrolysis of biomass, where it is found to provide a rapid and accurate estimate of the relative contributions of cellulose, hemicellulose, and lignin to the volatile yield, as well as their kinetic parameters. The method offers a simple way to obtain the model reaction kinetics parameters from thermogravimetric data and saves computing time by providing sensible initial values and bounds of the fit parameters.
AB - Analytic relations are developed that directly link visually observable features of differential thermogravimetric (DTG) curves (e.g., peak temperature, height, width, skewness and conversion at the peak) to the parameters of chemical reaction kinetics models (e.g., activation energy and prefactor), which can be used to study the thermal decomposition of solid fuels. General expressions suitable for any reaction model are provided, as well as explicit expressions for nth order reactions with a rate constant given by the Arrhenius equation. This approach is illustrated for the pyrolysis of biomass, where it is found to provide a rapid and accurate estimate of the relative contributions of cellulose, hemicellulose, and lignin to the volatile yield, as well as their kinetic parameters. The method offers a simple way to obtain the model reaction kinetics parameters from thermogravimetric data and saves computing time by providing sensible initial values and bounds of the fit parameters.
KW - biomass pyrolysis
KW - reaction kinetics
KW - peak shape
KW - deconvolution model
UR - https://sciencedirect.com/journal/energy-conversion-and-management
U2 - 10.1016/j.enconman.2018.07.018
DO - 10.1016/j.enconman.2018.07.018
M3 - Article
VL - 172
SP - 296
EP - 305
JO - Energy Conversion and Management
JF - Energy Conversion and Management
SN - 0196-8904
ER -