Revisiting the Biomass Pyrolysis Chemical Percolation Devolatilization Model

It is found that due to a simplification in the metaplast model, the original chemical percolation devolatilization (CPD) model does not ensure mass conservation. This is caused by the fact that evacuation of tar is only approximately accounted for in the underlying formulas derived from percolation theory. In this paper, a new version of the metaplast model is developed and implemented in a Julia-based solver. This correction also results in some corrections to the kinetic data for lignin, cellulose, and hemicellulose. The new Julia solver includes two versions, one for small particles where no spatial resolution is required and a spatially resolved version. The spatially resolved version is used to find that, even for pyrolyzing particles, a Biot number of unity is a sufficient criterion to determine when spatial models must be used.

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Publication Details

Journal
Energy & Fuels
Published
2026-02-09
DOI
https://doi.org/10.1021/acs.energyfuels.5c05760
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
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article

Revisiting the Biomass Pyrolysis Chemical Percolation Devolatilization Model

Odd Andersen, Nils Erland L. Haugen
Energy & Fuels
Thermochemical Biomass Conversion Processes
article

Revisiting the Biomass Pyrolysis Chemical Percolation Devolatilization Model

Odd Andersen, Nils Erland L. Haugen
article en

Abstract

It is found that due to a simplification in the metaplast model, the original chemical percolation devolatilization (CPD) model does not ensure mass conservation. This is caused by the fact that evacuation of tar is only approximately accounted for in the underlying formulas derived from percolation theory. In this paper, a new version of the metaplast model is developed and implemented in a Julia-based solver. This correction also results in some corrections to the kinetic data for lignin, cellulose, and hemicellulose. The new Julia solver includes two versions, one for small particles where no spatial resolution is required and a spatially resolved version. The spatially resolved version is used to find that, even for pyrolyzing particles, a Biot number of unity is a sufficient criterion to determine when spatial models must be used.

Energy & FuelsVol. 40(7)
SINTEF (NO), Luleå University of Technology (SE), SINTEF Digital
Life in Land
Openalex Percentile: Top 63%
Thermochemical Biomass Conversion Processes
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Revisiting the Biomass Pyrolysis Chemical Percolation Devolatilization Model — Odd Andersen, Nils Erland L. Haugen · Energy & Fuels (2026) | TGRS Research Map | TGRS