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

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Güleç F., Şimşek E. H., Tanıker Sarı H.

Chemical Engineering and Technology, cilt.45, sa.1, ss.167-177, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 45 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1002/ceat.202100229
  • Dergi Adı: Chemical Engineering and Technology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Applied Science & Technology Source, Biotechnology Research Abstracts, Chimica, Communication Abstracts, Compendex, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.167-177
  • Anahtar Kelimeler: Biomass, Kalman filter, Pyrolysis, Pyrolysis models, Regression analysis, LIGNOCELLULOSIC BIOMASS, VACUUM PYROLYSIS, LIQUEFACTION MECHANISMS, PRODUCT YIELDS, CELLULOSE, LIGNIN, HEMICELLULOSE
  • Ankara Üniversitesi Adresli: Evet

Özet

© 2021 Wiley-VCH GmbH.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.