title: Application of artificial neural networks to co-combustion of hazelnut husk-lignite coal blends.
abstract: The artificial neural network (ANN) theory is applied to thermal data obtained by non-isothermal thermogravimetric analysis (TGA) from room temperature to 1000°C at different heating rates in air to study co-combustion of hazelnut husk (HH)-lignite coal (LC) blends of various composition. The heating rate, blend ratio and temperature were used in the ANN analysis to predict the TG curves of the blends as parameters that affect the thermal behavior during combustion. The ANN model provides a good prediction of the TG curves for co-combustion with a coefficient of determination for the developed model of 0.9995. The agreement between the experimental data and the predicted values substantiated the accuracy of the ANN calculation.
authors.affiliation: Ondokuz Mayıs University Chemical Engineering Department, 55139 Samsun, Turkey.
authors.forename: Zeynep
authors.initials: Z
authors.lastname: Yıldız
authors.affiliation: Ondokuz Mayıs University Chemical Engineering Department, 55139 Samsun, Turkey.
authors.forename: Harun
authors.initials: H
authors.lastname: Uzun
authors.affiliation: Ondokuz Mayıs University Chemical Engineering Department, 55139 Samsun, Turkey. Electronic address: selim.ceylan@omu.edu.tr.
authors.forename: Selim
authors.initials: S
authors.lastname: Ceylan
authors.affiliation: Ondokuz Mayıs University Chemical Engineering Department, 55139 Samsun, Turkey.
authors.forename: Yıldıray
authors.initials: Y
authors.lastname: Topcu
mesh_terms: D003031:Coal / Q000032:analysis; D031211:Corylus / Q000737:chemistry*; D016571:Neural Networks, Computer; D059205:Renewable Energy; D013696:Temperature; D013818:Thermogravimetry
chemical_list: D003031:Coal
keywords: Artificial neural network; Co-combustion; Hazelnut husk; Lignite coal; TGA