Abstract
This paper examines the possibility of intensifying the process of roasting zinc concentrate in fluidized bed furnaces using mathematical modeling methods. The purpose of the study is to optimize firing conditions to increase the yield of zinc oxide and reduce energy costs. Using mathematical models describing reaction kinetics and mass and heat transfer processes, key parameters such as temperature, firing time and composition of the starting material are analyzed. The effect of aeration and the addition of reagents on the speed and efficiency of the reaction is considered. The experimental part of the work includes laboratory tests that allow us to validate mathematical models and confirm theoretical predictions. The results show that the proposed intensification methods significantly improve the efficiency of the roasting process, reduce emissions and contribute to more sustainable production. The data obtained can be useful for implementation in industry and the development of new technological solutions in the field of processing zinc concentrates.