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Comparative analysis of pyrolysis models including SFOR, CRECK, and Bio-CPD to predict reaction kinetics and products from extracted biomass components – Supplementary dataset

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Online
DOI: 10.18154/RWTH-2024-02457
URL: https://publications.rwth-aachen.de/record/980683/files/Simulation_Data.zip

Einrichtungen

  1. Lehrstuhl für Wärme- und Stoffübertragung (412610)

Projekte

  1. DFG project 240954932 - Experimentelle Untersuchung von Pyrolyse- und Koksumsatzkinetiken in einem „Well-Stirred-Reactor“ unter atmosphärischen und druckbeaufschlagten Bedingungen (A01) (240954932) (240954932)
  2. DFG project 215035359 - TRR 129: Oxyflame - Entwicklung von Methoden und Modellen zur Beschreibung der Reaktion fester Brennstoffe in einer Oxyfuel-Atmosphäre (215035359) (215035359)

Inhaltliche Beschreibung (Schlagwörter)
biomass pyrolysis (frei) ; thermogravimetric analysis (frei) ; secondary gas-phase reactions (frei) ; fluidized bed reactor (frei) ; kinetic modeling (frei)

Kurzfassung
Biomass pyrolysis is typically modeled based on the three reference components cellulose, hemicellulose, and lignin. Most models rely on an individual decomposition of the materials and a linear superposition of the individual component products weighted by the present mass fractions. Models of varying complexity exist for the mathematical description of the pyrolysis process, ranging from the simplest single first-order (SFOR) model and the multi-step CRECK model to the chemical percolation devolatilization (CPD) model representing the molecular network of the solid. Within the present study, the predictive performance of these three models is compared with regard to the time-dependent total volatile release and the final volatile yield when applying two different thermal boundary conditions: low heating rate in a thermogravimetric analyzer (TGA) and flash pyrolysis conditions realized with a small-scale fluidized bed reactor (FBR). The models are compared with one other and with experimental data on extracted, separately pyrolyzed biomass components. This shows that the CRECK model is best suited to describing conversion in the TGA, also resolving most of the individual reactions, while the SFOR model can resolve only one globally dominating reaction, and the Bio-CPD model strongly overpredicts the reactivity of the biomass components during the slow heat-up. Under flash pyrolysis conditions in the FBR, by contrast, the Bio-CPD model performs better than any other model when it comes to predicting the total volatile release rate. However, examining the integrally released yields, the CRECK model again produces the best trends. Regarding the tar and light gas distribution, all models strongly overpredict tar from primary pyrolysis compared to the experimental results, indicating the presence of secondary gas-phase reactions in the FBR. Although different secondary gas-phase reaction models are used, the tar yield is significantly overestimated by the models compared to the experimental data.

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Dokumenttyp
Dataset

Sprache
English

Interne Identnummern
RWTH-2024-02457
Datensatz-ID: 980683

Beteiligte Länder
Germany, Peoples R China

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Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article/Contribution to a conference proceedings  ;  ;  ;  ;
Comparative analysis of pyrolysis models including SFOR, CRECK, and Bio-CPD to predict reaction kinetics and products from extracted biomass components
4. Internal Workshop on Oxyfuel Combustion of sustainable solid fuels, NapoliNapoli, Italy, 22 Mar 2023 - 23 Mar 20232023-03-222023-03-23 Fuel : the science and technology of fuel and energy 371(A), 131867 () [10.1016/j.fuel.2024.131867] special issue: "Oxyflame- 4th Internal Workshop on Oxyfuel Combustion of sustainable solid fuels / Guest Editors: Osvalda Senneca, Reinhold Kneer, Viktor Scherer, Andreas Dreizler, Heinz Pitsch"  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS


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 Record created 2024-03-01, last modified 2025-09-30


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