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Isoconversional determination of the apparent reaction models governing pyrolysis of wood, straw and sewage sludge, with an approach to rate modelling

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  • Sobek, Szymon
  • Werle, Sebastian

Abstract

Within the presented paper, different approaches to determine kinetic reaction models governing pyrolysis of three waste biomass types: waste wood (WW), waste straw (WS) and sewage sludge (SS) based on 5 dynamic heating runs (5, 10, 20, 30, 40 K/min) at TGA are presented and discussed. Fuel properties with lignocelluloses content of the investigated feedstock are presented and discussed. Ambiguous results of the generalized master-plot method draw the idea of determining actual reaction models using the isoconversional methodology. Friedman method provided apparent activation energies as a root for further calculations being the 48.1–294.3 kJ/mol for WS, 21.0–361.9 kJ/mol for WW and 58.1–484.3 kJ/mol for SS. Isoconversional pre-exponential factors were determined using linear compensation effect and were 7.2·106–1.8·1021 1/min, 1.6·104–1.2·1025 1/min, and 1.5·109–3.2·1030 1/min for WS, WW, and SS respectively. Based on isoconversional parameters, actual profiles of reaction models were estimated using the t-Students distribution for 95% confidence intervals and verified in the modelling of pyrolysis conversion profiles. Isoconversional pyrolysis models resulted in fitting to experimental profiles with non-linear coefficients of determination equal to 0.9912, 0.9876, and 0.9406 for WW, WS, and SS respectively.

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  • Sobek, Szymon & Werle, Sebastian, 2020. "Isoconversional determination of the apparent reaction models governing pyrolysis of wood, straw and sewage sludge, with an approach to rate modelling," Renewable Energy, Elsevier, vol. 161(C), pages 972-987.
    • Handle: RePEc:eee:renene:v:161:y:2020:i:c:p:972-987
    DOI: 10.1016/j.renene.2020.07.112
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    1. Farooq, Muhammad Zohaib & Zeeshan, Muhammad & Iqbal, Saeed & Ahmed, Naveed & Shah, Syed Asfand Yar, 2018. "Influence of waste tire addition on wheat straw pyrolysis yield and oil quality," Energy, Elsevier, vol. 144(C), pages 200-206.
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    4. Kaczor, Zuzanna & Buliński, Zbigniew & Werle, Sebastian, 2020. "Modelling approaches to waste biomass pyrolysis: a review," Renewable Energy, Elsevier, vol. 159(C), pages 427-443.
    5. Sobek, Szymon & Werle, Sebastian, 2020. "Solar pyrolysis of waste biomass: Part 2 kinetic modeling and methodology of the determination of the kinetic parameters for solar pyrolysis of sewage sludge," Renewable Energy, Elsevier, vol. 153(C), pages 962-974.
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    2. Wądrzyk, Mariusz & Janus, Rafał & Lewandowski, Marek & Magdziarz, Aneta, 2021. "On mechanism of lignin decomposition – Investigation using microscale techniques: Py-GC-MS, Py-FT-IR and TGA," Renewable Energy, Elsevier, vol. 177(C), pages 942-952.
    3. Luo, Laipeng & Zhang, Zhiyi & Li, Chong & Nishu, & He, Fang & Zhang, Xingguang & Cai, Junmeng, 2021. "Insight into master plots method for kinetic analysis of lignocellulosic biomass pyrolysis," Energy, Elsevier, vol. 233(C).
    4. Norbert Miskolczi & Szabina Tomasek, 2022. "Investigation of Pyrolysis Behavior of Sewage Sludge by Thermogravimetric Analysis Coupled with Fourier Transform Infrared Spectrometry Using Different Heating Rates," Energies, MDPI, vol. 15(14), pages 1-18, July.
    5. Wądrzyk, Mariusz & Grzywacz, Przemysław & Janus, Rafał & Michalik, Marek, 2021. "A two-stage processing of cherry pomace via hydrothermal treatment followed by biochar gasification," Renewable Energy, Elsevier, vol. 179(C), pages 248-261.
    6. Sun, Ce & Li, Wenlong & Chen, Xiaojian & Li, Changxin & Tan, Haiyan & Zhang, Yanhua, 2021. "Synergistic interactions for saving energy and promoting the co-pyrolysis of polylactic acid and wood flour," Renewable Energy, Elsevier, vol. 171(C), pages 254-265.

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