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The present study employed numerical modelling of thermal processes, thereby enabling the tracking of the dynamics of combustion in a blast furnace, the comparison of the efficiency of different types of fuel, and the study of the processes of energy resource combustion in greater detail. The study enabled the determination of the minimum temperature at which combustion products evaporate and are removed along with flue gases. The data obtained was utilised to calculate the air flow adjustment coefficients, thus ensuring complete combustion of a conditional unit of fuel. It was determined that an absence of oxygen during the process of fuel combustion leads to incomplete combustion, which, in turn, results in increased fuel consumption and diminished economic efficiency of thermal processes. This problem is of particular pertinence in the context of blast furnaces, which account for most of the energy consumption in full-cycle metallurgical plants. Research has demonstrated that the utilisation of associated petroleum gas in blast furnaces employed in ferrous metallurgy can result in a substantial enhancement in energy efficiency and a reduction in the detrimental environmental impact. The calculation of the calorimetric combustion temperature of fuel was achieved through the investigation of two approaches: iterative and interpolative. Consequently, a mathematical algorithm was developed that enhances the economic efficiency of heat technology processes for ore enrichment by more accurately determining the relationship between temperature, fuel quantity and air consumption during combustion. The experimental data collected in this study confirmed the effectiveness of using gaseous fuel in comparison with both solid and liquid fuels. During the computational experiment, a digital method was developed, encompassing a suite of software tools that utilised advanced computing resources. The programme, written in C++ and running in the cross-platform Visual Studio environment, ensures its compatibility with any operating system. The calculation is enabled by a built-in database that contains key chemical characteristics of various fuel states (gaseous, liquid or solid).
DOI: 10.1117/12.3108834