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Non-isothermal pyrolysis of torrefied stump – A comparative kinetic evaluation

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  • Tran, Khanh-Quang
  • Bach, Quang-Vu
  • Trinh, Thuat T.
  • Seisenbaeva, Gulaim

Abstract

The pyrolysis of native and torrefied stump materials was studied in the kinetic regime by means of a thermogravimetric analyzer operated in the non-isothermal fashion. Three different kinetic models applicable to biomass pyrolysis were evaluated for the collected data, which include a single-reaction model, two three pseudo-components models, and a distributed activation energy model (DAEM). It was shown that the single-reaction model was not suitable to simulating stump biomass pyrolysis. The other models including the three pseudo-components model with n=1 and n≠1, and the DAEM demonstrated very good fits between simulated and experimental curves. However, the three pseudo-components model with n≠1 is recommended as the most suitable for simulation and prediction of kinetic behaviour of slow pyrolysis for both untreated and torrefied stump, considering that it offers the best fits to the experimental data and that the generated reaction orders are realistic, being slightly higher than unity. It appears that the torrefied stump has higher activation energy than its native material. The activation energy predicted for the native stump pyrolysis is in the range of 105.2–108.9kJ/mol, 183.5–183.6kJ/mol, and 40.3–48.01kJ/mol for hemicelluloses, celluloses, and lignin, respectively. That for pyrolysis of the stump torrefied at 200°C is 105.13–111.19kJ/mol, 183.68–185.79kJ/mol, and 40.49–50.70kJ/mol, respectively.

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  • Tran, Khanh-Quang & Bach, Quang-Vu & Trinh, Thuat T. & Seisenbaeva, Gulaim, 2014. "Non-isothermal pyrolysis of torrefied stump – A comparative kinetic evaluation," Applied Energy, Elsevier, vol. 136(C), pages 759-766.
    • Handle: RePEc:eee:appene:v:136:y:2014:i:c:p:759-766
    DOI: 10.1016/j.apenergy.2014.08.026
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    1. Tran, Khanh-Quang & Luo, Xun & Seisenbaeva, Gulaim & Jirjis, Raida, 2013. "Stump torrefaction for bioenergy application," Applied Energy, Elsevier, vol. 112(C), pages 539-546.
    2. Wen, Jia-Long & Sun, Shao-Long & Yuan, Tong-Qi & Xu, Feng & Sun, Run-Cang, 2014. "Understanding the chemical and structural transformations of lignin macromolecule during torrefaction," Applied Energy, Elsevier, vol. 121(C), pages 1-9.
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    Cited by:

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    5. He, Chao & Tang, Chunyan & Li, Chuanhao & Yuan, Jihui & Tran, Khanh-Quang & Bach, Quang-Vu & Qiu, Rongliang & Yang, Yanhui, 2018. "Wet torrefaction of biomass for high quality solid fuel production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 259-271.
    6. Xu, Li & Zhu, Zhongzhe & Li, Shengcai & Zhang, Youchao & Wang, Lei & Sun, Wanghu, 2023. "Pyrolysis characteristics and kinetic reaction parameters estimation of sassafras wood via thermogravimetric modeling calculation coupled with hybrid optimization methodology," Energy, Elsevier, vol. 263(PD).
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    8. Ahmad, Razi & Mohd Ishak, Mohd Azlan & Kasim, Nur Nasulhah & Ismail, Khudzir, 2019. "Properties and thermal analysis of upgraded palm kernel shell and Mukah Balingian coal," Energy, Elsevier, vol. 167(C), pages 538-547.
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    10. Bach, Quang-Vu & Tran, Khanh-Quang & Skreiberg, Øyvind, 2017. "Combustion kinetics of wet-torrefied forest residues using the distributed activation energy model (DAEM)," Applied Energy, Elsevier, vol. 185(P2), pages 1059-1066.
    11. Sun, Youhong & Bai, Fengtian & Lü, Xiaoshu & Jia, Chunxia & Wang, Qing & Guo, Mingyi & Li, Qiang & Guo, Wei, 2015. "Kinetic study of Huadian oil shale combustion using a multi-stage parallel reaction model," Energy, Elsevier, vol. 82(C), pages 705-713.
    12. Bach, Quang-Vu & Tran, Khanh-Quang & Skreiberg, Øyvind, 2017. "Comparative study on the thermal degradation of dry- and wet-torrefied woods," Applied Energy, Elsevier, vol. 185(P2), pages 1051-1058.
    13. Chen, Wei-Hsin & Huang, Ming-Yueh & Chang, Jo-Shu & Chen, Chun-Yen, 2015. "Torrefaction operation and optimization of microalga residue for energy densification and utilization," Applied Energy, Elsevier, vol. 154(C), pages 622-630.

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