Abstract
The evaluation of thermochemical characteristics and the development of kinetic model for pyrolysis of waste biomass are more challenging. In this study, the mass losses, intermediates evolved and products formed during pyrolysis of waste wood biomass were determined by coupling DSC/TGA-DTG/GC-MS/FTIR to improve the understanding of conversion processes and decomposition characteristics. The improved non-isothermal kinetics method was proposed by introducing the function of mechanisms, the activation energies and pre-exponential factors were estimated iteratively by regression to enhance modeling accuracy. The results indicated the gases of CO, CO2, CH4, H2 and the liquids of N-containing organics, esters, ketons and carboxylic acids were the most dominated products evolved. The pyrolysis of waste wood biomass could be divided into three phases, and with the increase of heating rates, the caloric requirement for pyrolysis was greatly increased. The random nucleation and one-dimensional diffusion predicted accurately the main (second) and third phases in the pyrolysis of waste wood biomass and waste camphor presented lower activation energies than waste bamboo.
Original language | English |
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Article number | 120358 |
Number of pages | 12 |
Journal | Energy |
Volume | 226 |
Early online date | 19 Mar 2021 |
DOIs | |
Publication status | Published - 01 Jul 2021 |
Bibliographical note
Funding Information:This work was supported by the Natural Science Foundation of China [No.: 51876130 ], and supported by Capacity Building Plan for some Non-military Universities and Colleges of Shanghai Scientific Committee (No. 18060502600 ).
Publisher Copyright:
© 2021 Elsevier Ltd
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords
- DSC/TG-DTG/GC-MS/FTIR
- Improved non-isothermal kinetics
- Pyrolysis of waste wood biomass
ASJC Scopus subject areas
- Civil and Structural Engineering
- Building and Construction
- Pollution
- Mechanical Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering