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A master plot approach on rice husk decomposition through pyrolysis and kinetic elucidation using iso-conversional models

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Listed:
  • Ishfaq Najar
  • Tanveer Rasool

Abstract

The present study aimed at predicting the intricate mechanism followed by the pyrolysis of locally available rice husk, uses noval modified master plots through continuous slope-based differential techniques. An average apparent activation energy was found in the range of 187.29 (KAS model) and 199.85 kJ mol −1 (OFW model), respectively. The rice husk revealed higher volatile matter; 54.51 wt-%, HHV; 18.42 MJ kg −1 and a critical pyrolysis zone around 250 to 550 °C with two sharp peaks through differential thermogravimetric analysis. Using Karl–Pearson correlation, experimental curve showed highest correlation coefficient of 0.94 and 0.75 with respect to A2 and A3 models (Avrami–Erofeev) for g ( α ). However, for Z ( α ), the process is limited by first-order multi-diffusion processes (D1) coupled with solid phase surface reaction (F3) showing correlation coefficient of 0.8. The experimental data worked out the generalized model of f ( α ) as f ( α ) = 12.74 α 3  – 24 α 2  + 12.6 α   - 0.92 with R 2 value of 0.99, narrating the usage of master plots for better understanding of the process.

Suggested Citation

  • Ishfaq Najar & Tanveer Rasool, 2025. "A master plot approach on rice husk decomposition through pyrolysis and kinetic elucidation using iso-conversional models," Energy & Environment, , vol. 36(5), pages 2314-2332, August.
  • Handle: RePEc:sae:engenv:v:36:y:2025:i:5:p:2314-2332
    DOI: 10.1177/0958305X241251402
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    References listed on IDEAS

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    1. 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).
    2. Cai, Wenfei & Dai, Li & Liu, Ronghou, 2018. "Catalytic fast pyrolysis of rice husk for bio-oil production," Energy, Elsevier, vol. 154(C), pages 477-487.
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