New generalizable pyrolysis model for diverse wood biomass feedstocks

A generalizable pyrolysis model has been developed that accurately represents the kinetics of a broad range of wood biomass residues, including mixed wood waste and single-source wood feedstocks. The approach deconvolved derivative thermogravimetric (DTG) data of mixed wood waste into separate pseudo-component reaction rates of extractives, hemicellulose, cellulose, and lignin using Fraser–Suzuki deconvolution. Activation energies, pre-exponential factors, and reaction order models were then determined for each component based on the mixed wood waste samples. The model was validated using mixed wood, single-source wood (birch, oak, pine, and pine bark) and data from the literature (mixed forest residues, white oak, and willow). Using only the four-component compositions as input to the pyrolysis model, the results for mass conversion showed excellent agreement with the experimental data from the different feedstocks, with minimum R 2 > 0.988 for heating rates in the range of 5 to 20 °C/min without any changes to the kinetic parameters, i.e., without refitting or recalibration. The model provides a powerful new approach to accurately represent pyrolysis of different residues of wood waste.

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Publication Details

Journal
Biomass and Bioenergy
Published
2026-09-11
DOI
https://doi.org/10.1016/j.biombioe.2026.110034
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

New generalizable pyrolysis model for diverse wood biomass feedstocks

Margaret S. Wooldridge, Manikandan Pandiyan
Biomass and Bioenergy
Thermochemical Biomass Conversion Processes
article

New generalizable pyrolysis model for diverse wood biomass feedstocks

Margaret S. Wooldridge, Manikandan Pandiyan
article en

Abstract

A generalizable pyrolysis model has been developed that accurately represents the kinetics of a broad range of wood biomass residues, including mixed wood waste and single-source wood feedstocks. The approach deconvolved derivative thermogravimetric (DTG) data of mixed wood waste into separate pseudo-component reaction rates of extractives, hemicellulose, cellulose, and lignin using Fraser–Suzuki deconvolution. Activation energies, pre-exponential factors, and reaction order models were then determined for each component based on the mixed wood waste samples. The model was validated using mixed wood, single-source wood (birch, oak, pine, and pine bark) and data from the literature (mixed forest residues, white oak, and willow). Using only the four-component compositions as input to the pyrolysis model, the results for mass conversion showed excellent agreement with the experimental data from the different feedstocks, with minimum R 2 > 0.988 for heating rates in the range of 5 to 20 °C/min without any changes to the kinetic parameters, i.e., without refitting or recalibration. The model provides a powerful new approach to accurately represent pyrolysis of different residues of wood waste.

Biomass and BioenergyVol. 217
University of Michigan
Openalex Percentile: Top 20%
Thermochemical Biomass Conversion Processes
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