The paper considers an approach to the primary assessment of the performance of multicircuit burner devices when working with a multi-component mixture composition, being applied to the solution of the problem of associated petroleum gas utilization. The formed approach assumes consecutive accounting of stoichiometric balance of fuel mixture and oxidant, numerical modeling of gas mixing process with the subsequent analysis of concentration fields of mixture components and oxidant and degree of mixture homogenization. It also includes the stage of estimation of possibility and efficiency of ignition of the obtained mixture and completeness of its combustion. On the basis of numerical modeling methods it is proposed to study only the process of mixing of multicomponent media in the working area of the burner device. Further analysis of the concentration fields of substances is performed visually, as well as using the universal homogenisation criterion. At the first stage of approbation of the proposed approach the efficiency of the burner devices is determined by the degree of homogenisation of the mixture of fuel mixture components supplied from two different circuits of the device with air entering the mixer through slits. The determining parameter, within the framework of the first stage of approbation, is the degree of homogeneity of the final mixture, i.e. the influence of the feeding mode of components on the field of their concentrations in the mixture.
References
1. Patent RU 2017137879 A, Power plant with high-temperature combined-cycle condensing turbine, Inventors: Biryuk V.V., Shelud’ko L.P., Livshits M.Yu., Larin E.A., Shimanova A.B., Shimanov A.A., Korneev S.S.
2. Kultyshev A.Yu., Goloshumova V.N, Aleshina A.S., Parogazovye ustanovki i osobennosti parovykh turbin dlya PGU (Combined-cycle plants and features of steam turbines for CCGT units), St. Petersburg: POLITEKh-PRESS Publ., 2022, 163 p.
3. Barochkin A.E., Modelirovanie, raschet i optimizatsiya mnogokomponentnykh mnogopotochnykh mnogostupenchatykh energeticheskikh sistem i ustanovok (Modeling, calculation and optimization of multi-component multi-flow multi-stage energy systems and installations): thesis of doctor of technical science, Ivanovo, 2024.
4. Makasheva A.P., Naymanova A.Zh., Numerical simulation of a multicomponent mixing layer with solid particles (In Russ.), Teplofizika i aeromekhanika = Thermophysics and Aeromechanics, 2019, V. 26, no. 4, pp. 521–537.
5. Bunkluarb N., Sawangtong W., Khajohnsaksumeth N., Wiwatanapataphee B., Numerical simulation of granular mixing in static mixers with different geometries, Advances in Difference Equations volume, 2019, no. 238, DOI: https://doi.org/10.1186/s13662-019-2174-5
6. Pezo M., Pezo L., Jovanović A. et al., DEM/CFD approach for modeling granular flow in the revolving static mixer, Chem. Eng. Res. Des., 2016, V. 109, pp. 317–326, DOI: http://doi.org/10.1016/j.cherd.2016.02.003
7. Jovanović A., Pezo M., Pezo L. et al., DEM/CFD analysis of granular flow in static mixers, Powder Technol., 2014, V. 266, pp. 240–248,
DOI: http://doi.org/10.1016/j.powtec.2014.06.032
8. Bridgwater J., Mixing of powders and granular materials by mechanical means—a perspective, Particuology, 2012, V. 10, pp. 397–427, DOI: http://doi.org/10.1016/j.partic.2012.06.002
9. Theron F., Le Sauze N., Comparison between three static mixers for emulsification in turbulent flow, Int. J. Multiph. Flow, 2011, V. 37(5), pp. 488–500,
DOI: http://doi.org/10.1016/j.ijmultiphaseflow.2011.01.004
10. Galaktionov O.S., Anderson P.D., Peters G.W.M., Meijer H.E.H., Analysis and optimization of Kenics static mixers, Int. Polym. Processing, 2003, V. 18(2), pp. 138–150, DOI: http://doi.org/10.3139/217.1732
11. Danilov Yu.M., Kurbangaleev A.A., Mukhametzyanova A.G., Alekseev K.A., Numerical 3D modeling of mixing components in small tubular devices (STA) (In Russ.), Vestnik Kazanskogo tekhnologicheskogo universiteta, 2012, no. 12, pp. 167-169, URL: https://cyberleninka.ru/article/n/chislennoe-3d-modelirovanie-smesheniya-komponentov-v-malogabaritny...
12. Danilov Yu.M., Kurbangaleev A.A., Reducing computational errors in numerical 3D modeling of mixing in axisymmetric channels (In Russ.), Vestnik Kazanskogo tekhnologicheskogo universiteta, 2012, no. 12, pp. 161-163, URL: https://cyberleninka.ru/article/n/umenshenie-vychislitelnyh-pogreshnostey-pri-chislennom-3d-modeliro...
13. Zel’dovich Ya.B., Teoriya goreniya i detonatsii gazov (Theory of combustion and detonation of gases), Moscow – Leningrad, Publ. of USSR Academy of Sciences, 1944, 72 p.
14. Loytsyanskiy L.G., Mekhanika zhidkosti i gaza (Mechanics of liquid and gas), Moscow: Drofa Publ., 2003, 840 p.
15. Garbaruk A.V., Strelets M.Kh., Shur M.L., Modelirovanie turbulentnosti v raschetakh slozhnykh techeniy (Modeling turbulence in complex flow calculations), St. Petersburg: Publ. of Polytechnic University, 2012, 88 p.
16. Menter F.R., Kuntz M., Langtry R., Ten years of industrial experience with the SST turbulence model, Proceedings of the Fourth International Symposium on Turbulence, Heat and Mass Transfer. Antalya, Turkey, 12–17 October, 2003, pp. 625–632.
17. Eymard R., Gallouët T., Herbin R., Finite volume methods, In: Handbook of Numerical Analysis, Elsevier, 2000, DOI: https://doi.org/10.1016/S1570-8659(00)07005-8
18. URL: https://www.openfoam.com.
19. Van Leer B., Towards the ultimate conservative difference scheme III. Upstream-centered finite-difference schemes for ideal compressible flow, J. Comp. Phys., 1977, V. 32, pp. 263–275, DOI: http://doi.org/10.1016/0021-9991(77)90094-8
20. URL: https://www.salome-platform.org.
21. Mukhametzyanova A.G., Alekseev K.A., Computing hydrodynamics methods for evaluating the efficiency of static mixers of nozzle type (In Russ.), Matematicheskie metody v tekhnike i tekhnologiyakh, 2019, V. 10, pp. 9–11.
