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

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.

journal_name

Bioresour Technol

journal_title

Bioresource technology

authors

Chen J,Xie C,Liu J,He Y,Xie W,Zhang X,Chang K,Kuo J,Sun J,Zheng L,Sun S,Buyukada M,Evrendilek F

doi

10.1016/j.biortech.2017.11.031

subject

Has Abstract

pub_date

2018-02-01 00:00:00

pages

230-238

eissn

0960-8524

issn

1873-2976

pii

S0960-8524(17)32005-9

journal_volume

250

pub_type

杂志文章

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