Chen, JiacongXie, CandieLiu, JingyongHe, YaoXie, WumingZhang, XiaochunChang, KenlinBüyükada, MusaEvrendilek, Fatih2021-06-232021-06-2320180960-85241873-2976https://doi.org/10.1016/j.biortech.2017.11.031https://hdl.handle.net/20.500.12491/9663(Co-)combustion characteristics of sewage sludge (SS), coffee grounds (CG) and their blends were quantified under increased O-2/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 O-2 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 O-2 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 O-2 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.eninfo:eu-repo/semantics/closedAccessMixed O-2/CO2 AtmosphereThermogravimetric AnalysisEmpirical ModelingKineticsCo-combustion of sewage sludge and coffee grounds under increased O-2/CO2 atmospheres: Thermodynamic characteristics, kinetics and artificial neural network modelingArticle10.1016/j.biortech.2017.11.031250230238291749002-s2.0-85034660691Q1WOS:000430740000030Q1