Development and validation of mass reduction prediction model during torrefaction using biomass chemical composition analysis

Thermochemical processes employ heat to transform biomass into energy. In these processes, heat supply and biomass type can affect the products, therefore understanding them is critical. Confirming these changes directly requires time and resources. Several hypotheses have been proposed to explain these changes. So, the purpose of this work was to investigate mass loss during thermochemical reactions utilising available kinetic parameters. This study comprised previously pyrolysed herbal agricultural biomass (soybean pod, corncob), woody agricultural biomass (pepper stem, grape pruning branch), and forestry biomass (wood pellet, bamboo). Temperature fluctuations were studied using a 1D temperature prediction model and evaluated using kinetic parameters. The findings anticipated using prior research' kinetic parameters differed by up to 20% from the experimental results. As a result, some of the kinetic parameters were adjusted. The prediction model with the changed parameters outperformed the prior results, with an RMSE of 2.0607 for wood pellets and 5.9754 for soybean pods. The results obtained using grape pruning branches, bamboo, and corncobs confirmed the mass reduction predicted by prior studies. This study revealed the capacity to estimate mass loss without using thermogravimetric measurements, and future predictions should include a broader spectrum of biomass materials.

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Publication Details

Journal
PLoS ONE
Published
2025-05-23
DOI
https://doi.org/10.1371/journal.pone.0323940
Citations
4
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
Field-Weighted Citation Impact
2.70

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article

Development and validation of mass reduction prediction model during torrefaction using biomass chemical composition analysis

Paudel Padam Prasad, Kwang Cheol Oh, Sunyong Park, Ha Eun Kim et al.
4 citations
PLoS ONE
Thermochemical Biomass Conversion Processes
2.70
article

Development and validation of mass reduction prediction model during torrefaction using biomass chemical composition analysis

Paudel Padam Prasad, Kwang Cheol Oh, Sunyong Park, Ha Eun Kim, Seon Yeop Kim, Seok Jun Kim, Dae Hyun Kim, Kyeong Sik Kang, Jae Youl Shin
article en
4 citations

Abstract

Thermochemical processes employ heat to transform biomass into energy. In these processes, heat supply and biomass type can affect the products, therefore understanding them is critical. Confirming these changes directly requires time and resources. Several hypotheses have been proposed to explain these changes. So, the purpose of this work was to investigate mass loss during thermochemical reactions utilising available kinetic parameters. This study comprised previously pyrolysed herbal agricultural biomass (soybean pod, corncob), woody agricultural biomass (pepper stem, grape pruning branch), and forestry biomass (wood pellet, bamboo). Temperature fluctuations were studied using a 1D temperature prediction model and evaluated using kinetic parameters. The findings anticipated using prior research' kinetic parameters differed by up to 20% from the experimental results. As a result, some of the kinetic parameters were adjusted. The prediction model with the changed parameters outperformed the prior results, with an RMSE of 2.0607 for wood pellets and 5.9754 for soybean pods. The results obtained using grape pruning branches, bamboo, and corncobs confirmed the mass reduction predicted by prior studies. This study revealed the capacity to estimate mass loss without using thermogravimetric measurements, and future predictions should include a broader spectrum of biomass materials.

PLoS ONEVol. 20(5)
Kangwon National University (KR)
National Research Foundation of Korea
Openalex Percentile: Top 10%
Thermochemical Biomass Conversion Processes
2.70
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