Potassium carbonate impregnation and torrefaction of wood block for thermal properties improvement: Prediction of torrefaction performance using artificial neural network

Larissa Richa, Baptiste Colin, Anélie Pétrissans, Ciera Wallace, Jasmine Wolfgram, Rafael L. Quirino, Wei-Hsin Chen and Mathieu Pétrissans

Applied Energy, 2023, vol. 351, issue C, No S0306261923012588

Abstract: Catalytic torrefaction using potassium carbonate (K2CO3) impregnation is a pretreatment method demonstrated to catalyze wood powder's thermal degradation for energy use. In this study, beech wood boards were impregnated with K2CO3, with the aim to scale up from the studies on wood powder found in the literature. The beech boards were impregnated with five different concentrations and torrefied at 300°C for four durations (5–60 min). The impregnation procedure was successful with a linear increase of K content in wood from 0.103 wt% for raw to 0.207 wt% for the 0.012 M sample. The weight loss during torrefaction increased with the increasing potassium (K) content in wood, reaching a maximum increase of 27.17% between 0.012 M and washed (no K2CO3) after 30 min. For the longest duration, the extent of the catalytic action of K decreased, similar to what is observed in wood powder. After 60 min torrefaction, potassium increased the torrefaction severity index by up to 10% and the higher heating value (HHV) by up to 55%. Potassium efficiently increased the fixed carbon and decreased the volatile matter to values comparable to coal by catalyzing the devolatilization during torrefaction. The atomic H/C and O/C ratios shifted to similar ratios as coal. The energy yield (EY) was above 80% for the shorter durations but dropped drastically at 30 and 60 min torrefaction. The prediction of the solid yield (SY), energy yield (EY), and enhancement factor of the HHV (EF) through an artificial neural network was robust with a fit quality R2≥0.999. The proposed method for catalytic torrefaction on wood boards was efficient and could be used prior to grinding and transportation for bioenergy production. This process could decrease the production costs of biomass fuel to compete with fossil fuels.

Keywords: Wood block; Potassium carbonate catalyst; Torrefaction and biochar; Artificial neural network (ANN); Torrefaction severity index (TSI) (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.apenergy.2023.121894

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