Decoupling reaction mechanisms: robust inverse modeling of black walnut pyrolysis kinetics
摘要
Thermogravimetric analysis was employed to investigate the pyrolysis kinetics of black walnut (Juglans nigra) under the nitrogen atmosphere across multiple heating rates ranging from 5 to 40 K/min. This study comparatively evaluated five kinetic reaction models with pseudo-components (1 to 5 components) and innovatively introduced a genetic algorithm to globally optimize core kinetic parameters—including the pre-exponential factor Z, activation energy E, reaction order n, and initial density ρ0. Parameter calibration was performed based on experimental data at 5, 10, 15, and 20 K/min, while the predictive capability and generalizability of the models were independently validated using experimental data at 40 K/min. Comprehensive benchmarking results demonstrated that the four-component model exhibited significant advantages in both predictive accuracy and computational efficiency among all tested models. This study provides a highly accurate and efficient parameter optimization strategy for kinetic modeling of biomass pyrolysis.