Room: King Willem Alexander
Date: Thursday, 21 May 2026
Time: 15:00 - 16:00 CEST
Session code 5CO.7
Applied and fundamental pyrolysis
Kinetic Investigation of the Pyrolysis of Rice Husk through TG-MS Analysis: Demonstration of the Additive Contribution of Cellulose, Hemicellulose and Lignin
Short Introductive summary
This study investigates whether the pyrolysis behavior of rice husk, a complex lignocellulosic residue, can be predicted as the additive sum of its main biochemical components: cellulose, hemicellulose, and lignin. After determining the detailed composition of rice husk, thermogravimetric–mass spectrometry (TG–MS) experiments were conducted at different heating rates to monitor mass loss and gas evolution. The experimental data were compared with empoying an additive model, built by linearly combining the TG–MS data of previously studied individual biomass constituents according to their measured proportions. The results show a close match between experimental and predicted behaviors in both decomposition profiles and product yields, confirming that rice husk pyrolysis can be effectively described through additive kinetic modeling. This work validates the additive approach as a predictive tool for modeling real biomass pyrolysis based on compositional data, supporting the development of lumped kinetic models and improving process simulation for thermochemical conversion of lignocellulosic residues into renewable fuels and materials.
Presenter
Eleonora BENEDETTO
Politecnico di Milano, ITALY
Presenter's biography
PhD candidate in Chemical Engineering at the LCCP research group of Politecnico di Milano. My research focuses on biomass pyrolysis, combining experimental work and kinetic modeling to support the development of sustainable, low-carbon energy technologies.
Biographies and Short introductive summaries are supplied directly by presenters and are published here unedited
Co-authors:
V. Piazza, Politecnico di Milano, ITALY
L.C. Pariani, Politecnico di Milano, ITALY
P. D'Arrigo, Politecnico di Milano, ITALY
L. Lietti, Politecnico di Milano, ITALY
A. Beretta, Politecnico di Milano, ITALY
Session reference: 5CO.7.1