Synergistic effects of catalytic co-pyrolysis Chlorella vulgaris and polyethylene mixtures using artificial neuron network: Thermodynamic and empirical kinetic analyses

The catalytic pyrolysis of Chlorella vulgaris, high-density polyethylene (Pure HDPE) and, their binary mixtures were conducted to analyse the kinetic and thermodynamic performances from 10 100 K/min. parameters computed by substituting experimental ANN predicted data into these iso-conversional equations plotting linear plots. Among all models, Flynn-Wall-Ozawa (FWO) model gave best prediction for with lowest deviation error (2.28–12.76%). bifunctional HZSM-5/LS catalysts found out be among HZSM-5 zeolite, natural limestone (LS), catalyst in co-pyrolysis mixture vulgaris HDPE, which Ea whole system was reduced range 144.93–225.84 kJ/mol (without catalysts) 75.37–76.90 kJ/mol. With aid artificial neuron network genetic algorithm, an empirical a mean absolute percentage (MAPE) 51.59% developed tri-solid state degradation system. is comparable thermogravimetry analysis (TGA) values alongside other proposed literature