Abstract
Torrefaction is a promising technology to improve fuel properties of biomass. However, torrefied char does not show densified energy content compared with coal and typically requires densification such as pelletization. Several key parameters including pelletization and torrefaction conditions were investigated in order to determine the effects on energy density of torrefied char pellets. In this study, multivariate analyses were performed using three independent variables, torrefaction temperature, pelletization temperature, and pelletization pressure; and five dependent variables: mass density, durability, volume expansion, higher heating value (HHV), and energy density (ED). The variation and correlation of the dependent variables were evaluated using principal component analysis (PCA). Additionally, multivariate linear regression was performed to correlate independent variables and dependent variable responses using an adjusted sum of squares method and a two-sided, 90% confidence interval for the mean response; the model was fitted with statistically significant linear, quadratic, and interaction terms. The statistical analysis showed that all independent parameters are statistically significant for ED with the largest model variation from experimental data being 1.44%. Response curve of the regression analysis showed that mass density, HHV, and energy density model have the highest output predictability with higher R2 values of 95.3%, 98.1%, and 74.1%, respectively.
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Acknowledgments
The authors are thankful to Tessa Berger from Ohio University and Eddie Torres from University of Nevada, Reno for their MATLAB and laboratory efforts, respectively.
Funding
This research is supported by Western Sun Grant Initiative (grant no. 2010-38502-21839) and United States Department of Agriculture (USDA) grant (2019-67019-2928).
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Highlights
• Increasing torrefaction temperature significantly increases pellet higher heating value (HHV).
• Increasing pelletization temperature and pressure does not affect pellet HHV but increases energy density.
• Mass density, HHV, and energy density mathematical models are highly predictable.
• Multilinear regression modeling agreed with the experimentally determined energy density.
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Saba, A., Saha, N., Williams, KC. et al. Binder-free torrefied biomass pellets: significance of torrefaction temperature and pelletization parameters by multivariate analysis. Biomass Conv. Bioref. 12, 2175–2183 (2022). https://doi.org/10.1007/s13399-020-00737-7
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DOI: https://doi.org/10.1007/s13399-020-00737-7