Date: Tuesday, 25 June 2024
Time: 16:15 - 17:15 CEST
Session code 5BV.8
Pyrolysis and kinetic investigations
Comprehensive Developments of Distributed Activation Energy Model (DAEM) For Determining Pyrolysis Kinetic Parameters of Biomass Residues
Short Introductive summary
This research aims to enhance the understanding of biomass thermodegradation through pyrolysis, focusing on kinetic parameters and predictive modeling using the Distributed Activation Energy Model (DAEM). The study introduces and validates two numerical algorithms—a simplified approach by MIURA and MAKI and a discretized method by SCOTT—to solve the DAEM equation. Leveraging a dedicated Python routine and prior thermogravimetric data, both methods demonstrated efficiency and accuracy in predicting activation energy values. The investigation’s innovative approach offers a robust tool for deriving biomass kinetics parameters, addressing a significant gap in current methodologies. Preliminary results indicate promising accuracy, with MIURA and MAKI exhibiting superior predictive performance and reasonable processing times compared to SCOTT and experimental data from GUO et al. (2022).
Presenter
Edgar A. SILVEIRA
University of Brasilia, Mechanical Engineering Dpt.
Presenter's biography
PhD in Mechanical Sciences from the University of Brasilia (UNB-Brazil) and in Fiber and Wood Sciences from the University of Lorraine (France). Professor at UNB, Silveira is engaged with biomass energy, waste management, thermochemical conversion technologies, heat transfer and energy systems.
Biographies and Short introductive summaries are supplied directly by presenters and are published here unedited
Co-authors:
P.P.O. Rodrigues, University of Brasilia, BRAZIL
P. Rousset, CIRAD, Montpellier, FRANCE
E.A. Silveira, University of Brasilia, BRAZIL
Session reference: 5BV.8.5