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Pyrolysis kinetic parameters investigation of single and tri-component biomass: Models fitting via comparative model-free methods

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  • Phuakpunk, Kiattikhoon
  • Chalermsinsuwan, Benjapon
  • Assabumrungrat, Suttichai

Abstract

Kinetic parameters of pyrolysis reaction were important data for simulations of thermal conversion processes of biomass. This study aimed to develop a proper kinetics investigation method for the pyrolysis reaction. Here, a quasi-single reaction of pyrolysis was assumed to simplify the reactions. The model comparison among three favorite model-free methods including Ozawa-Flynn-Wall, Kissinger-Akahira-Sunose and Friedman methods, was considered. From TGA results of three biomasses, i.e., corn cob, Napier grass, and sugarcane top and leaves, they indicated that using parameters values via Friedman method in a conversion range of 0.1–0.6 could give conversion curves mostly in good agreement with experimental results when deriving them in a polynomial order of 2 (quadratic) regression model and using a reaction order of 3. Another purpose of the study was to investigate effect of mixing different biomasses on kinetics of pyrolysis reaction by plotting the parameters in a ternary diagram of tri-component biomass which was mixture of the herein biomasses. The diagram indicated that mixtures with more high-hemicellulose biomass (like corn cob) would show less activation energy in a temperature range of 220–315 °C. While mixtures with more high-cellulose biomass (like sugarcane top and leaves) would show less activation energy in a temperature range of 315–400 °C.

Suggested Citation

  • Phuakpunk, Kiattikhoon & Chalermsinsuwan, Benjapon & Assabumrungrat, Suttichai, 2022. "Pyrolysis kinetic parameters investigation of single and tri-component biomass: Models fitting via comparative model-free methods," Renewable Energy, Elsevier, vol. 182(C), pages 494-507.
  • Handle: RePEc:eee:renene:v:182:y:2022:i:c:p:494-507
    DOI: 10.1016/j.renene.2021.10.011
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    References listed on IDEAS

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    1. Kan, Tao & Strezov, Vladimir & Evans, Tim J., 2016. "Lignocellulosic biomass pyrolysis: A review of product properties and effects of pyrolysis parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1126-1140.
    2. Dhyani, Vaibhav & Bhaskar, Thallada, 2018. "A comprehensive review on the pyrolysis of lignocellulosic biomass," Renewable Energy, Elsevier, vol. 129(PB), pages 695-716.
    3. Roy, Poritosh & Dias, Goretty, 2017. "Prospects for pyrolysis technologies in the bioenergy sector: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 59-69.
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    1. Gözke, Gözde, 2022. "Kinetic and thermodynamic analyses based on thermogravimetric pyrolysis of watermelon seed by isoconversional and master plots methods," Renewable Energy, Elsevier, vol. 201(P1), pages 916-927.
    2. Carvalho, Pollyana R. & Medeiros, Samuel L.S. & Paixão, Raul L. & Figueredo, Igor M. & Mattos, Adriano L.A. & Rios, M. Alexsandra S., 2023. "Thermogravimetric pyrolysis of residual biomasses obtained post-extraction of carnauba wax: Determination of kinetic parameters using Friedman's isoconversional method," Renewable Energy, Elsevier, vol. 207(C), pages 703-713.
    3. 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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