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Is there interaction between forestry residue and crop residue in co-pyrolysis? Evidence from wood sawdust and peanut shell

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Abstract

Numerous studies have shown that co-pyrolysis of biomass with other materials (i.e., coal and municipal waste) can result in better overall performance. However, both forestry residue and crop residue are subclasses of biomass, and there are few studies on whether they interact with each other during co-pyrolysis. In this study, five mixture pellets of wood sawdust (WS) and peanut shell (PS) were prepared using five different mixing ratios (WS:PS = 10:0, 7:3, 5:5, 3:7, and 0:10). Co-pyrolysis experiments were conducted using a thermogravimetric analyzer and Fourier transform infrared spectroscopy. Compared with WS and PS alone, W3P7 (WS:PS = 3:7) increased the comprehensive pyrolysis index by 15.0–27.8%, 20.8–96.1%, and 17.9–88.0% at heating rates of 10, 20, and 30 K min−1, respectively. In the pyrolysis of the five samples, the reaction mechanism during the rapid mass loss period was most likely random nucleation and subsequent growth. Combined with the results of the thermodynamic and kinetic analyses, W3P7 had the best pyrolysis performance. This study can deepen the understanding of the thermochemical reaction of mixtures composed of forestry residue and crop residue, which will be helpful for further modeling and simulation of co-pyrolysis of PS and WS in the future.

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Abbreviations

WS:

Wood sawdust

PS:

Peanut shell

LHV:

Low heating value (kJ kg−1)

HHV:

High heating value (kJ kg−1)

TGA:

Thermogravimetric analyzer

FTIR:

Fourier transform infrared spectroscopy

DTG:

Derivative thermogravimetric (\(\mathrm{\% }{\mathrm{min}}^{-1}\))

\({\mathrm{DTG}}_{\mathrm{max}}\) :

Maximum mass loss rate (\(\mathrm{\% }{\mathrm{min}}^{-1}\))

\({\mathrm{DTG}}_{\mathrm{mean}}\) :

Mean mass loss rate (\(\mathrm{\% }{\mathrm{min}}^{-1}\))

CPI:

Comprehensive pyrolysis index

\({T}_{\mathrm{i}}\) :

Initial temperature (K)

\({T}_{\mathrm{p}}\) :

Peak temperature at the maximum mass loss rate (K)

\({\Delta T}_{1/2}\) :

Interval between the two temperatures when DTG/\({\mathrm{DTG}}_{\mathrm{max}}\) = \(1/2\) (K)

\({E}_{\alpha }\) :

Activation energy (kJ mol−1)

A:

Pre-exponential factor (\({\text{s}}^{-1}\))

\(\alpha\) :

Conversion degree

\(\beta\) :

Heating rate (\(\mathrm{K }{\mathrm{min}}^{-1}\))

KAS:

Kissinger–Akahira–Sunose method

FWO:

Flynn–wall–Ozawa method

CR:

Coats–Redfern method

G(\(\alpha\)):

Reaction mechanism function in integral form

\(f\left(\alpha \right)\) :

Reaction model function

R :

Universal gas constant [8.314 J mol−1 K−1]

\(\Delta H\) :

Change in enthalpy (kJ mol−1)

\(\Delta G\) :

Change in free Gibbs energy (kJ mol−1)

\(\Delta S\) :

Change in entropy (J mol−1)

\({K}_{\mathrm{B}}\) :

Boltzmann constant (\(1.381\times {10}^{-23}\) J K−1)

h :

Planck constant (\(6.626\times {10}^{-34}\) J s)

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Acknowledgements

This study was supported by the National Natural Science Foundation of China (No. 51838007, No. 52108095), the Natural Science Foundation of Sichuan Province (No. 2022NSFSC0978), the Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, and the Key Laboratory of Eco Planning & Green Building (Tsinghua University), Ministry of Education of China.

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  1. Department of Building Science, Tsinghua University, Beijing, 100084, China

    Yazhou Nie, Ming Shan & Xudong Yang

  2. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China

    Mengsi Deng

  3. Shanxi Research Institute for Clean Energy, Tsinghua University, Taiyuan, 030032, China

    Ming Shan & Xudong Yang

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YN was involved in writing the original draft, software, and investigation. MD was responsible for methodology and validation. MS contributed to conceptualization and formal analysis. XY participated in supervision and project administration.

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Nie, Y., Deng, M., Shan, M. et al. Is there interaction between forestry residue and crop residue in co-pyrolysis? Evidence from wood sawdust and peanut shell. J Therm Anal Calorim 148, 2467–2481 (2023). https://doi.org/10.1007/s10973-022-11910-7

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  • DOI: https://doi.org/10.1007/s10973-022-11910-7

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