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Combined particle model and experimental approach for predicting pyrolysis with palm kernel shells

2022; Elsevier BV; Linguagem: Inglês

10.1016/b978-0-323-95879-0.50058-8

2543-1331

Andrés Chico-Proano, Michelle Romero, A. Narváez C. Ricardo, Boris G. German, Daniel Rivadeneira, George Manos, Lazaros G. Papageorgiou, Eric S. Fraga,

Natural Fiber Reinforced Composites

This work combines a particle model and experimental data as an alternative to improve the agreement between predicted and experimental results in pyrolysis. A mechanistic model, implemented and solved in gPROMS, is used to describe biomass pyrolysis in a shrinking particle. The content of cellulose, hemicellulose and lignin in palm kernel shells (PKS) is determined with high performance liquid chromatography (HPLC) and UV-Visible spectrophotometry. A synthetic sample of cellulose, hemicellulose and lignin is prepared to resemble PKS composition. Pyrolysis of both PKS and the synthetic sample is evaluated using thermogravimetric analysis (TGA). The results highlight the complexity of pyrolysis and the importance of supporting modelling with experimental data. TGA results show the effect of biomass components interactions in pyrolysis. A 20% difference in pyrolysis mass conversion was found between PKS and the mixture. The agreement between predicted and experimental results improves when the model is modified considering PKS pyrolysis information. This work represents a step forward for understanding the role of combined modelling and experimental strategies in describing complex processes like pyrolysis.