(404g) An Integrated Modeling Framework for Kinetic Modeling of Red Oak Pyrolysis in a Vertical Tube Reactor Using the Isoconversional Method

Isoconversional methods are mainly used to calculate kinetic parameters for biomass pyrolysis using thermogravimetric analysis (TGA) data. However, due to the differences between a TGA analyzer and a practical pyrolysis reactor, these parameters calculated from isoconversional methods cannot be directly utilized for pyrolysis in an actual reactor. To overcome this limitation, a new modeling framework was proposed in this work.

In the current study, the Friedman method was integrated with a kinetic model to predict transient profiles of char, tar, and syngas from red oak pyrolysis in a vertical tube reactor. In the proposed modeling framework, the isoconversional method was coupled with the least-squares method to calculate kinetic parameters for red oak pyrolysis using TGA data at heating rates of 10, 20, 30, and 40 ℃/min. The calculated kinetic parameters were applied to a kinetic model to simulate pyrolysis in the vertical tube reactor. The particle swarm optimization (PSO) model and the sequential least-squares quadratic programming (SLSQP) model were integrated with the kinetic model to predict the production of char, tar, and syngas during the process. The kinetic model was validated with transient production data of char, tar, and syngas at experimental temperatures of 500 ℃, 600 ℃, and 700 ℃, indicating the effectiveness of the proposed framework in accurately predicting bioproduct yields from biomass pyrolysis.