TY  - JOUR
N2  - Pyrolysis of high-ash sewage sludge (HASS) is a considered as an effective method and a promising way for energy production from solid waste of wastewater treatment facilities. The main purpose of this work is to build knowledge on pyrolysis mechanisms, kinetics, thermos-gravimetric analysis of high-ash (44.6) sewage sludge using model-free methods & results validation with artificial neural network (ANN). TG-DTG curves at 5,10 and 20 °C/min showed the pyrolysis zone was divided into three zone. In kinetics, E values of models ranges are; Friedman (10.6â??306.2 kJ/mol), FWO (45.6â??231.7 kJ/mol), KAS (41.4â??232.1 kJ/mol) and Popescu (44.1â??241.1 kJ/mol) respectively. Î?H and Î?G values predicted by OFW, KAS and Popescu method are in good agreement and ranged from (41â??236 kJ/mol) and 53â??304 kJ/mol, respectively. Negative value of Î?S showed the non-spontaneity of the process. An artificial neural network (ANN) model of 2 * 5 * 1 architecture was employed to predict the thermal decomposition of high-ash sewage sludge, showed a good agreement between the experimental values and predicted values (R2 ⩾ 0.999) are much closer to 1. Overall, the study reflected the significance of ANN model that could be used as an effective fit model to the thermogravimetric experimental data. © 2018 Elsevier Ltd
VL  - 233
JF  - Fuel
AV  - none
EP  - 538
KW  - Enzyme kinetics; Gravimetric analysis; Kinetics; Pyrolysis; Sewage sludge; Thermodynamics; Thermolysis; Waste treatment; Wastewater treatment
KW  -  Artificial neural network models; Energy productions; Experimental values; Model-free method; Negative values; Pyrolysis mechanism; Thermo-gravimetric; Wastewater treatment facilities
KW  -  Neural networks
PB  - Elsevier Ltd
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048977469&doi=10.1016%2fj.fuel.2018.06.089&partnerID=40&md5=f2adb815363ca6145ead05ea20541371
TI  - Pyrolysis of high-ash sewage sludge: Thermo-kinetic study using TGA and artificial neural networks
SN  - 00162361
ID  - scholars9559
A1  - Naqvi, S.R.
A1  - Tariq, R.
A1  - Hameed, Z.
A1  - Ali, I.
A1  - Taqvi, S.A.
A1  - Naqvi, M.
A1  - Niazi, M.B.K.
A1  - Noor, T.
A1  - Farooq, W.
Y1  - 2018///
N1  - cited By 136
SP  - 529
ER  -