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Mathematical modeling of the combined combustion process and analysis of the effect of different injection methods on combustion efficiency

TitleMathematical modeling of the combined combustion process and analysis of the effect of different injection methods on combustion efficiency
AuthorsU. J. Mizher1, M. J. Mizher2, P. M. Abrashkin3, P. A. Velmisov3
1Surgut State University
2Southern Technical University
3Al–Shatrah University
AnnotationThe search for environmentally friendly alternative energy sources is one of the main concerns of modern society. Biogas is a potential alternative fuel derived from organic waste. Biogas contains less methane, which reduces the heat of combustion, and more carbon dioxide, which affects the flame spreading rate. The maximum adiabatic temperature in the combustion chamber of thermal power plant boilers can be reduced while increasing the stability of biogas combustion through the combined combustion of natural gas and biogas, provided the fuel mixture is thoroughly mixed with oxidizer. In this study, an analytical stationary temperature field in the jets is first constructed using self-similar solutions of the equations of axisymmetric fluid (gas) motion in a viscous incompressible medium model. This solution serves as an initial approximation for the subsequent solution of the problem using the ANSYS Fluent software product, which is used for modeling and research of thermal and gas-dynamic processes in the combustion chamber. The combustion process of fuel-air mixture is modeled using the ${k-varepsilon
Keywordsgas dynamics, temperature, biogas, combined combustion, turbulence model ${k-varepsilon, ANSYS Fluent.
CitationMizher U. J., Mizher M. J., Abrashkin P. M., Velmisov P. A. ''Mathematical modeling of the combined combustion process and analysis of the effect of different injection methods on combustion efficiency'' [Electronic resource]. Proceedings of the International Scientific Youth School-Seminar "Mathematical Modeling, Numerical Methods and Software complexes" named after E.V. Voskresensky (Saransk, July 29-31, 2025). Saransk: SVMO Publ, 2025. - pp. 170-175. Available at: https://conf.svmo.ru/files/2025/papers/paper34.pdf. - Date of access: 30.08.2025.