Vol. 337 No. 3 (2026)

DOI https://doi.org/10.18799/24131830/2026/3/5133

Computer simulation of an ethane-propane fraction pyrolysis furnace in the Symmetry software platform

Relevance. Industrial necessity to optimize pyrolysis. Specifically, the focus is on enhancing the operational efficiency of pyrolysis furnaces. These units are of critical importance because they are responsible for producing ethylene and propylene – hydrocarbons that form the fundamental raw material basis for a wide range of chemical industries. Aim. To develop a model of an ethane-propane fraction pyrolysis furnace that can be used as a tool for predicting the state of a pyrolysis plant within the technological operating mode. Object. Pyrolysis of the ethane-propane fraction, taking into account the reactions of coke formation. Methods. Methods of modeling of chemical and technological processes. Results and conclusions. The authors have developed the model of an ethane-propane fraction pyrolysis furnace in the Symmetry software platform, taking into account the processes of coke formation. The distribution of the coke formation rate along the length of the radiant coil was calculated. The maximum rate of coke formation was 4.86 nm/s in the terminal section of the coil, which indicates the intensive occurrence of secondary (undesirable) reactions at the end of the radiant coil.  The authors determined the effect of key parameters such as temperature, pressure, and the flow rate of the reaction gas on the output of the target products and the rate of coke formation. Thus, an increase in pressure leads to a decrease in the yields of both ethylene and propylene, whereas an increase in temperature raises the ethylene yield but reduces the propylene content in the pyrogas. However, in two cases, there is an increase in the rate of coke formation, which leads to a decrease in the furnace run time. In turn, an increase in the flow rate of the reaction gas through the pyrolysis coil leads to a reduction in coke formation and an increase in the propylene content in the pyrogas, but at the same time, the yield of ethylene decreases. Using the created model, it is possible to predict the content of components in the composition of the resulting pyrogas when the furnace operation parameters change. Based on these data, taking into account the required run time of the furnace and the conversion of the target products, it is possible to form the optimal operating mode of the pyrolysis furnace.

For citation: Lanovoy R.A., Sadovsky S.S., Selyangin K.V., Kovalenko P.A., Romanov G.R. Computer simulation of an ethane-propane fraction pyrolysis furnace in the Symmetry software platform. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2026, vol. 337, no. 3, pp. 36–46. https://doi.org/10.18799/24131830/2026/3/5133

Keywords:

pyrolysis, pyrogas, hydrocarbons, ethylene, propylene, ethane-propane fraction, conversion, coke formation

Authors:

Roman A. Lanovoy

Stanislav S. Sadovsky

Konstantin V. Selyanin

Pavel A. Kovalenko

Grigory R. Romanov

References:

1. Ivanov A.P., Petrov S.I. Modern methods of pyrolysis modeling. Chemical Technology, 2021, vol. 64, no. 2, pp. 45–58. (In Russ.)

2. Smirnov D.V. Optimization of pyrolysis processes: new approaches and technologies. Oil Chemistry, 2021, vol. 58, no. 4, pp. 321–330. (In Russ.)

3. Kuznetsov V.A., Lebedev I.N. Modeling of thermodynamic processes in pyrolysis furnaces. Journal of Applied Chemistry, 2022, vol. 95, no. 3, pp. 234–240. (In Russ.)

4. Orlov E.M. Efficiency of pyrolysis reactors: mathematical modeling and analysis. Chemical Engineering, 2022, vol. 7, no. 1, pp. 123–135. (In Russ.)

5. Solovyov A.N. Kinetic models of pyrolysis: review and application. Nanotechnology in Russia, 2022, vol. 17, no. 5, pp. 345–356. (In Russ.)

6. Fedorov R.I. Using Symmetry software for modeling pyrolysis processes. Chemical Industry, 2023, vol. 101, no. 2, pp. 67–78. (In Russ.)

7. Kovalev S.V., Morozov I.A., Modeling of pyrolysis processes: from theory to practice. Oil and Gas Industry Journal, 2024, vol. 59, no. 2, pp. 112–123. (In Russ.)

8. Chernov A.V. Mathematical modeling methods in pyrolysis: achievements and prospects. Journal of Heat Engineering, 2024, vol. 56, no. 3, pp. 234–245. (In Russ.)

9. Lisov V.I., Tikhonov M.Yu. Pyrolysis processes: modeling and optimization. Chemical Reaction Engineering, 2025, vol. 12, no. 1, pp. 45–58. (In Russ.)

10. Ermakov D.N. Modeling thermodynamic processes in pyrolysis units. Energy and Resources, 2024, vol. 47, no. 5, pp. 67–72. (In Russ.)

11. Lavrentiyeva T.A., Ishmukhamedov R.R. Prospects for the development of hydrocarbon feedstock pyrolysis process. International Scientific Journal "Symbol of Science", 2021, no. 4, pp. 14–17. (In Russ.)

12. Bunaev A.A., Dolganov I.M., Dolganova I.O., Yuryev E.M. Unsteady-state modeling of gasoline fraction pyrolysis. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2023, vol. 334, no. 3, pp. 73–88. (In Russ.)

13. Arapov D.V. Optimization of SRT-VI type pyrolysis furnaces for large-scale ethylene plants. Theoretical Foundations of Chemical Technology, 2020, vol. 54, no. 2, pp. 244–256. (In Russ.)

14. Verevkin A.P. Construction of a mathematical model for a tubular pyrolysis furnace for optimization and diagnosis purposes. Oil and Gas Business, 2010, vol. 8, no. 1, pp. 70–73. (In Russ.)

15. Zakharov M.E., Ganja T.V. Computer simulation of a heat exchanger in a pyrolysis furnace for optimizing hydrocarbon pyrolysis process. Computer Technologies and Data Analysis. Proc. of the IV International Scientific-Practical Conference. Minsk, April 25–26, 2024. Minsk, Belarusian State University Publ., 2024. pp. 168–169. (In Russ.)

16. Bunaev A.A., Dolganov I.M., Dolganova I.O. Unsteady-state mathematical model of gasoline fraction pyrolysis. Business Journal "Neftegaz.RU", 2023, vol. 137, no. 5, pp. 73–88. (In Russ.)

17. Mukhina T.N., Barabanov N.L., Babash S.E. Hydrocarbon feedstock pyrolysis. Moscow, Khimiya Publ., 1987. 242 p. (In Russ.)

18. Kinnis N.M., Junior P.K., Quitmeier W.D. Lummus ethylene process. Handbook of Petrochemicals Production Processes. 2nd ed. New Jersey, McGraw-Hill, 2019. Vol. 1, 30 p.

19. Ishola F., Oyawale F., Inegbenebor A., Boyo H., Akinlabi S., Oyetunji O. Mathematical analysis and thermal modelling of a pilot-scale pyrolysis gas furnace. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 65, 2020, vol. 1, pp. 81–83.

20. Khasanov R.G., Murtazin F.R. Prediction of yields of lower olefins during pyrolysis of hydrocarbon feedstock. Chemistry and Technology of Fuels and Oils, 2020, vol. 56, pp. 341–346.

21. Gong K., Cao Y., Feng Y., Liu S., Qin J. Influence of secondary reactions on heat transfer process during pyrolysis of hydrocarbon fuel under supercritical conditions. Applied Thermal Engineering, 2019, vol. 159, pp. 1–10.

22. Zhou W., Lin Q., Wang C., Bi H., Jiang C., Tian J., Liu Y., Ni Z., Sun H. Co-pyrolysis behavior of coal slime and Chinese medicine residue by TG-FTIR-MS with principal component analysis and artificial neural network model. Combustion Science and Technology, 2021, vol. 193, pp. 2242–2253.

23. Hou X., Chen B., Ma Zh., Zhang J., Ning Yu., Zhang D., Zhao L., Yuan E., Cui T. Empirical modeling of normal/cyclo-alkanes pyrolysis to produce light olefins. Chinese Journal of Chemical Engineering, 2022, vol. 42, pp. 389–398.

24. Mohamadalizadeh A., Towfighi J., Karimzadeh R. Modeling of catalytic coke formation in thermal cracking reactors. Journal of Analytical and Applied Pyrolysis, 2008, vol. 82, pp. 134–139.

25. Zhong A., Qiu Z., Li X., Huang Z., Han D. Experimental and kinetic study on the pyrolysis and oxidation of isopentane in a jet-stirred reactor. Combustion and Flame, 2022, vol. 235, pp. 1–16.

26. Zhao S., Zhang Y., Su Y. Experimental investigation of rice straw oxidative pyrolysis process in a hot-rod reactor. Journal of Analytical and Applied Pyrolysis, 2019, vol. 142, pp. 1–7.

27. Li Z., Wang H., Jing K., Wang L., Li Y., Zhang X., Liu G. Kinetics and modeling of supercritical pyrolysis of endothermic hydrocarbon fuels in regenerative cooling channels. Chemical Engineering Science, 2019, vol. 207, pp. 202–214.

28. Samedov F.A., Morozov A.Y., Samoilov N.A., Prosochkina T.R. Mathematical modeling of the unsteady hydrocarbon pyrolysis process. Petroleum Chemistry, 2019, vol. 59, pp. 151–159.