Journal
JOURNAL OF THE ENERGY INSTITUTE
Volume 95, Issue -, Pages 143-153Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.joei.2021.01.011
Keywords
Lignocellulosic biomass; Anthracite; Co-pyrolysis; Deconvolution; Isoconversional kinetics
Categories
Funding
- National Key R&D Program of China [2018YFB1501405]
- National Natural Science Foundation of China [51336008]
Ask authors/readers for more resources
The study investigated the pyrolysis kinetics of cornstalk, bamboo fiber powder, and their blends with anthracite using a differential isoconversional method. The role of anthracite additive varied with different biomasses, affecting the activation energy differently. Deconvolution by the Fraser-Suzuki function improved the accuracy and reasonableness of the kinetic analysis.
Pyrolysis kinetics of cornstalk (CS), bamboo fiber powder (BFP) and their blends with anthracite (AN) was investigated by differential isoconversional method. The role of AN additive was different in blending with different biomasses, which decreased the activation energy of CS, but increased that of BFP. Deconvolution by Fraser-Suzuki function resolved the overlapped rate curves into three independent pseudo components with high accuracy, improving the correlation coefficients and reasonable conversion ranges for isoconversional kinetics. The influences of AN additive on the activation energy of pseudo components agreed with those observed in overall kinetic parameters, which was probably attributed to thermal diffusivity, bringing positive or negative synergy depending on the thermal properties of biomass. Most of the changes were distributed in pseudo hemicellulose and lignin, and further increased along with the pyrolysis process. Reproduction of rate curves was realized based on obtained kinetic parameters, which validated that the kinetic analyses were high-quality. (C) 2021 Energy Institute. Published by Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available