%0 Journal Article
%@ 00162361
%A Naqvi, S.R.
%A Tariq, R.
%A Hameed, Z.
%A Ali, I.
%A Taqvi, S.A.
%A Naqvi, M.
%A Niazi, M.B.K.
%A Noor, T.
%A Farooq, W.
%D 2018
%F scholars:9559
%I Elsevier Ltd
%J Fuel
%K Enzyme kinetics; Gravimetric analysis; Kinetics; Pyrolysis; Sewage sludge; Thermodynamics; Thermolysis; Waste treatment; Wastewater treatment, Artificial neural network models; Energy productions; Experimental values; Model-free method; Negative values; Pyrolysis mechanism; Thermo-gravimetric; Wastewater treatment facilities, Neural networks
%P 529-538
%R 10.1016/j.fuel.2018.06.089
%T Pyrolysis of high-ash sewage sludge: Thermo-kinetic study using TGA and artificial neural networks
%U https://khub.utp.edu.my/scholars/9559/
%V 233
%X 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 (10.6�306.2 kJ/mol), FWO (45.6�231.7 kJ/mol), KAS (41.4�232.1 kJ/mol) and Popescu (44.1�241.1 kJ/mol) respectively. �H and �G values predicted by OFW, KAS and Popescu method are in good agreement and ranged from (41�236 kJ/mol) and 53�304 kJ/mol, respectively. Negative value of �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
%Z cited By 136