Kinetic analysis and calculation correction methods for moisture evaporation rate in pine lignocellulosic biomass

This study investigates the kinetics of moisture evaporation in pine wood during the drying stage, focusing on analyzing thermogravimetric (TG) curves. The research is based on the kinetic rate model and TG curves obtained at various heating rates, specifically 5, 10, 15, and 20 K/min for the heat release rate, within a temperature range from room temperature to 473 K. Utilizing thermogravimetric experiments and the kinetic rate model, the apparent activation energy and pre-exponential factor are calculated. Further refinement of these calculations is achieved using the Nelder-Mead algorithm. The results show good agreement between the average values of the apparent activation energy (37.88 kJ/mol) and pre-exponential factor (4458.20 s −1 ) and experimental measurements in the initial and later drying stages, with discrepancies noted in the middle stage. Establishing a relationship between the correction coefficients of these parameters and the heating rate leads to a reduction in calculation errors. Notably, the pre-exponential factor is found to be influenced by heating rates, while the apparent activation energy remains relatively stable. Moreover, the errors are significantly reduced after correction, and the error curve of 10 K/min is the most significant. Overall, the proposed correction method holds promise for accurately calculating moisture evaporation rates in lignocellulosic biomass, offering valuable insights for biomass drying applications.

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Publication Details

Journal
Case Studies in Thermal Engineering
Published
2024-09-01
DOI
https://doi.org/10.1016/j.csite.2024.104985
Citations
5
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
Field-Weighted Citation Impact
0.92
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article

Kinetic analysis and calculation correction methods for moisture evaporation rate in pine lignocellulosic biomass

Zhenkun Wu, Fanbao Chen, Min Peng, Guoqing Zhu et al.
5 citations
Case Studies in Thermal Engineering
Thermochemical Biomass Conversion Processes
0.92
article

Kinetic analysis and calculation correction methods for moisture evaporation rate in pine lignocellulosic biomass

Zhenkun Wu, Fanbao Chen, Min Peng, Guoqing Zhu, Li Ding, Dongzi Qin, Yifan Zhu, Panwen Ma, Wenxuan Miao
article en
5 citations

Abstract

This study investigates the kinetics of moisture evaporation in pine wood during the drying stage, focusing on analyzing thermogravimetric (TG) curves. The research is based on the kinetic rate model and TG curves obtained at various heating rates, specifically 5, 10, 15, and 20 K/min for the heat release rate, within a temperature range from room temperature to 473 K. Utilizing thermogravimetric experiments and the kinetic rate model, the apparent activation energy and pre-exponential factor are calculated. Further refinement of these calculations is achieved using the Nelder-Mead algorithm. The results show good agreement between the average values of the apparent activation energy (37.88 kJ/mol) and pre-exponential factor (4458.20 s −1 ) and experimental measurements in the initial and later drying stages, with discrepancies noted in the middle stage. Establishing a relationship between the correction coefficients of these parameters and the heating rate leads to a reduction in calculation errors. Notably, the pre-exponential factor is found to be influenced by heating rates, while the apparent activation energy remains relatively stable. Moreover, the errors are significantly reduced after correction, and the error curve of 10 K/min is the most significant. Overall, the proposed correction method holds promise for accurately calculating moisture evaporation rates in lignocellulosic biomass, offering valuable insights for biomass drying applications.

Case Studies in Thermal EngineeringVol. 61
China University of Mining and Technology (CN)
Openalex Percentile: Top 28%
Thermochemical Biomass Conversion Processes
0.92
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Kinetic analysis and calculation correction methods for moisture evaporation rate in pine lignocellulosic biomass — Zhenkun Wu, Fanbao Chen, et al. · Case Studies in Thermal Engineering (2024) | TGRS Research Map | TGRS