Literature DB >> 29174900

Co-combustion of sewage sludge and coffee grounds under increased O2/CO2 atmospheres: Thermodynamic characteristics, kinetics and artificial neural network modeling.

Jiacong Chen1, Candie Xie1, Jingyong Liu2, Yao He1, Wuming Xie1, Xiaochun Zhang1, Kenlin Chang3, Jiahong Kuo1, Jian Sun1, Li Zheng1, Shuiyu Sun1, Musa Buyukada4, Fatih Evrendilek4.   

Abstract

(Co-)combustion characteristics of sewage sludge (SS), coffee grounds (CG) and their blends were quantified under increased O2/CO2 atmosphere (21, 30, 40 and 60%) using a thermogravimetric analysis. Observed percentages of CG mass loss and its maximum were higher than those of SS. Under the same atmospheric O2 concentration, both higher ignition and lower burnout temperatures occurred with the increased CG content. Results showed that ignition temperature and comprehensive combustion index for the blend of 60%SS-40%CG increased, whereas burnout temperature and co-combustion time decreased with the increased O2 concentration. Artificial neural network was applied to predict mass loss percent as a function of gas mixing ratio, heating rate, and temperature, with a good agreement between the experimental and ANN-predicted values. Activation energy in response to the increased O2 concentration was found to increase from 218.91 to 347.32 kJ·mol-1 and from 218.34 to 340.08 kJ·mol-1 according to the Kissinger-Akahira-Sunose and Flynn-Wall-Ozawa methods, respectively.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Empirical modeling; Kinetics; Mixed O(2)/CO(2) atmosphere; Thermogravimetric analysis

Mesh:

Substances:

Year:  2017        PMID: 29174900     DOI: 10.1016/j.biortech.2017.11.031

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


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