Literature DB >> 29550731

Co-pyrolysis kinetics of sewage sludge and bagasse using multiple normal distributed activation energy model (M-DAEM).

Yan Lin1, Zhihao Chen1, Minquan Dai1, Shiwen Fang1, Yanfen Liao2, Zhaosheng Yu1, Xiaoqian Ma1.   

Abstract

In this study, the kinetic models of bagasse, sewage sludge and their mixture were established by the multiple normal distributed activation energy model. Blending with sewage sludge, the initial temperature declined from 437 K to 418 K. The pyrolytic species could be divided into five categories, including analogous hemicelluloses I, hemicelluloses II, cellulose, lignin and bio-char. In these species, the average activation energies and the deviations situated at reasonable ranges of 166.4673-323.7261 kJ/mol and 0.1063-35.2973 kJ/mol, respectively, which were conformed to the references. The kinetic models were well matched to experimental data, and the R2 were greater than 99.999%y. In the local sensitivity analysis, the distributed average activation energy had stronger effect on the robustness than other kinetic parameters. And the content of pyrolytic species determined which series of kinetic parameters were more important.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bagasse; Co-pyrolysis; Multiple normal distributed activation energy model (M-DAEM); Sewage sludge; Thermogravimetric analysis (TGA)

Mesh:

Substances:

Year:  2018        PMID: 29550731     DOI: 10.1016/j.biortech.2018.03.036

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  3 in total

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2.  Thermal Debinding Kinetics of Gelcast Ceramic Parts via a Modified Independent Parallel Reaction Model in Comparison with the Multiple Normally Distributed Activation Energy Model.

Authors:  Jing Li; Jindi Huang
Journal:  ACS Omega       Date:  2022-05-30

3.  Thermal debinding behavior of a low-toxic DMAA polymer for gelcast ceramic parts based on TG-FTIR and kinetic modeling.

Authors:  Jing Li; Chuanfu Zhang; Ruiming Yin; Wenhai Zhang
Journal:  RSC Adv       Date:  2019-03-14       Impact factor: 3.361

  3 in total

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