Wood pyrolysis modeling based on the pyrolysis characteristics of wood extracted and pseudo components

Wood pyrolysis is a complex process, and understanding its mechanism is challenging due to the interaction of multiple components. In this study, the pyrolysis kinetic properties of experimentally extracted wood components and wood pseudo components simulated via Fraser–Suzuki function deconvolution methods were analyzed. Additionally, the differences between the independent parallel reaction model (IPRM) and the deconvolution method were compared to investigate the pyrolysis characteristics of wood. The activation energy (E) and pre-exponential factor (A) were calculated using the Flynn-Wall-Ozawa (FWO) method. The results indicated that the average E for chemically extracted cellulose from Chinese fir was 165.4 kJ/mol and 157.1 kJ/mol for birch cellulose. The corresponding values for their pseudo-cellulose were 109.9 kJ/mol and 153.8 kJ/mol, respectively. Within the range of conversion rates less than 0.8, the pseudo components required a higher temperature to achieve the same conversion rate as the experimentally extracted components. The IPRM method accurately predicted the pyrolysis properties by combining holocellulose and lignin. However, its accuracy was low when combining cellulose, hemicellulose, and lignin, which was attributed to the interaction between in-situ components influencing wood pyrolysis.