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Kinetic modelling of torrefaction of olive tree pruning
•Thermogravimetric analysis of material under torrefaction conditions was studied.•Mass loses during torrefaction was modeled by a pseudo-mechanistic model.•The model included moisture, hemicellulose, cellulose and lignin content.•The model can predict the mass yield under different operating condit...
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Published in: | Applied thermal engineering 2017-02, Vol.113, p.1410-1418 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Thermogravimetric analysis of material under torrefaction conditions was studied.•Mass loses during torrefaction was modeled by a pseudo-mechanistic model.•The model included moisture, hemicellulose, cellulose and lignin content.•The model can predict the mass yield under different operating conditions.
The objective of this study is the proposal of a pyrolysis kinetic model that describes the thermal decomposition of olive tree pruning in different torrefaction conditions via thermogravimetrical measurements in nitrogen atmosphere. First, the determination of activation energies was performed by isoconversional methods of Flynn–Wall–Ozawa, Kissinger–Akahira–Sunose and Friedman. Three stages were distinguished in which the activation energy keeps approximately constant and were related to the thermal degradation of the different constituents of the material (cellulose, hemicellulose and lignin). Then, Coast-Redfern method was applied to determine the kinetic function. The kinetic function that seems to determine the mechanism of thermal degradation of main components of olive tree pruning was nth order reaction. Finally, a detailed pseudo-mechanistic model (using least squares fitting in a parallel reaction scheme) was analyzed. This model was appropriate to predict the pyrolysis behavior of the olive tree pruning in all torrefaction conditions studied. |
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ISSN: | 1359-4311 1873-5606 |
DOI: | 10.1016/j.applthermaleng.2016.11.147 |