Abstract
Mechanism of dioxins formation during combustion process in municipal solid wastes has been discussed. In this study, the lab-scale fluidized bed combustor, designed to simulate the combustion process in a municipal solid waste incinerator, was employed. The multiple regression analysis as a statistical approach has been carried out to determine the effects of the RDF components on dioxin emission. In the experiment, artificial RDFs were used instead of practical RDFs to keep experimental accuracy. The results show that the dioxins concentrations increase with the amount of Cl, Cu and volatile matter in the RDF.