Prediction of Biomass Pyrolysis Mechanisms and Kinetics: Application of the Kalman Filter

Güleç, Fatih; Şimşek, Emir Hüseyin; Tanıker Sarı, Hilal

Abstract

In order to predict the pyrolysis mechanisms of four different biomasses (Asbos (Psilocaulon utile), Kraalbos (Galenia africane), Scholtzbos (Pteronia pallens), and palm shell), a novel method called Kalman filter was investigated and the results were compared by regression analysis. Both analyses were applied to five different generalized biomass pyrolysis models consisting of parallel and serial irreversible-reversible reaction steps. The models consisting of reversible reactions in addition to parallel pyrolysis steps demonstrated a better fit with the experimental results. The pyrolysis step from biomass to bio-oil has the highest reaction rates compared with the other pyrolysis steps defined in the models. The Kalman filter is thus defined as a promising filtering and prediction method for the estimation of detailed pyrolysis mechanisms and model parameters, using minimum experimental data.

• Journal Article Type: Article
• Acceptance Date: Nov 16, 2021
• Online Publication Date: Dec 2, 2021
• Publication Date: 2022-01
• Deposit Date: Jun 22, 2023
• Publicly Available Date: Aug 3, 2023
• Journal: Chemical Engineering & Technology
• Print ISSN: 0930-7516
• Electronic ISSN: 1521-4125
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 45
• Issue: 1
• Pages: 167-177
• DOI: https://doi.org/10.1002/ceat.202100229
• Keywords: Industrial and Manufacturing Engineering; General Chemical Engineering; General Chemistry
• Public URL: https://nottingham-repository.worktribe.com/output/22182683
• Publisher URL: https://onlinelibrary.wiley.com/doi/ftr/10.1002/ceat.202100229