Evaluation of Integral and Differential Coats–Redfern Methods for Pine Pyrolysis Kinetics

This study investigates the pyrolysis behavior of loblolly pine through thermogravimetric (TGA) and derivative thermogravimetric (DTG) analysis under varying nitrogen flow rates of 5–40 mL min−1 and heating rates of 5–20 °C min−1. The pyrolysis proceeded through three distinct phases: Phase I: initial moisture release, Phase II: active devolatilization, and Phase III: char formation. Kinetic modeling using both integral and differential forms of the Coats–Redfern method revealed distinct mechanistic interpretations. The integral approach primarily identified diffusion-controlled models (D1, D3) during moisture and char stages and reaction-order or contraction models (F2, R2) during devolatilization, with activation energies ranging from 8.89 to 70.48 kJ mol−1. In contrast, the differential method captured sharper transitions and favored complex nucleation and growth mechanisms (A3, A4) and power laws (P3, P4), yielding higher activation energies up to 111.29 kJ mol−1 in Phase II. These results underscore the influence of both inert gas flow and thermal ramp on pyrolysis reactivity and demonstrate that kinetic model selection significantly affects activation energy interpretation. The findings contribute to a more nuanced understanding of biomass pyrolysis and offer insights into reactor design and process optimization in thermochemical conversion systems.

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Publication Details

Journal
Fire
Published
2026-02-25
DOI
https://doi.org/10.3390/fire9030101
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
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article

Evaluation of Integral and Differential Coats–Redfern Methods for Pine Pyrolysis Kinetics

R. Seymour Smith, M. Toufiq Reza
Fire
Thermochemical Biomass Conversion Processes
article

Evaluation of Integral and Differential Coats–Redfern Methods for Pine Pyrolysis Kinetics

R. Seymour Smith, M. Toufiq Reza
article en

Abstract

This study investigates the pyrolysis behavior of loblolly pine through thermogravimetric (TGA) and derivative thermogravimetric (DTG) analysis under varying nitrogen flow rates of 5–40 mL min−1 and heating rates of 5–20 °C min−1. The pyrolysis proceeded through three distinct phases: Phase I: initial moisture release, Phase II: active devolatilization, and Phase III: char formation. Kinetic modeling using both integral and differential forms of the Coats–Redfern method revealed distinct mechanistic interpretations. The integral approach primarily identified diffusion-controlled models (D1, D3) during moisture and char stages and reaction-order or contraction models (F2, R2) during devolatilization, with activation energies ranging from 8.89 to 70.48 kJ mol−1. In contrast, the differential method captured sharper transitions and favored complex nucleation and growth mechanisms (A3, A4) and power laws (P3, P4), yielding higher activation energies up to 111.29 kJ mol−1 in Phase II. These results underscore the influence of both inert gas flow and thermal ramp on pyrolysis reactivity and demonstrate that kinetic model selection significantly affects activation energy interpretation. The findings contribute to a more nuanced understanding of biomass pyrolysis and offer insights into reactor design and process optimization in thermochemical conversion systems.

FireVol. 9(3)
Florida Institute of Technology (US)
Affordable and clean energy
Openalex Percentile: Top 44%
Thermochemical Biomass Conversion Processes
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