Software Package for Optimization of Burner Devices on Dispersed Working Fluids

Ruslan V. Fedorov (), Igor I. Shepelev, Mariia A. Malyoshina, Dmitry A. Generalov, Vyacheslav V. Sherkunov and Valeriy V. Sapunov
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Ruslan V. Fedorov: Laboratory of Interdisciplinary Problems in Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz Street, 432027 Ulyanovsk, Russia
Igor I. Shepelev: Laboratory of Interdisciplinary Problems in Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz Street, 432027 Ulyanovsk, Russia
Mariia A. Malyoshina: Laboratory of Interdisciplinary Problems in Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz Street, 432027 Ulyanovsk, Russia
Dmitry A. Generalov: Laboratory of Interdisciplinary Problems in Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz Street, 432027 Ulyanovsk, Russia
Vyacheslav V. Sherkunov: Laboratory of Interdisciplinary Problems in Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz Street, 432027 Ulyanovsk, Russia
Valeriy V. Sapunov: Laboratory of Interdisciplinary Problems in Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz Street, 432027 Ulyanovsk, Russia

Energies, 2025, vol. 18, issue 4, 1-29

Abstract: Taking into account the approaches to ecology and social policy, the development of technologies for optimizing the combustion process for thermal power plants, one of the key sources of greenhouse gas emissions, is relevant. This article analyzes approaches that improve the combustion process efficiency in thermal power plants, as well as speed up the development of various operating modes. Particular attention is paid to the control of fuel composition and geometric parameters of a burner device. Optimal settings of these parameters can significantly impact the reduction in harmful emissions into the atmosphere, though finding such parameters is a labor-intensive process and requires the use of modern automation and data processing tools. Nowadays, the main methods to analyze and optimize various characteristics are machine learning methods based on artificial neural networks (ANNs), which are used in this work. These methods also demonstrate the efficiency in combination with the optimization method. Thus, the use of approaches based on the combustion process optimization can significantly improve the environmental footprint of thermal power plants, which meets modern environmental requirements. The obtained results show that the most significant effect on the N O X content has the mass flow rate change of primary air and fuel with a change in geometric parameters. The decrease in N O X concentration in comparison with the calculation results with basic values is about 15%.

Keywords: mathematical modeling; combustion; emission; burners; dispersed working fluids; artificial intelligence (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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