Journal of Siberian Federal University. Engineering & Technologies / Investigation of Kinetic Patterns of Oil Sludge Coking

Full text (.pdf)
Issue
Journal of Siberian Federal University. Engineering & Technologies. 2026 19 (7)
Authors
Kulagina, Tatiana A.; Gurina, Regina V.
Contact information
Kulagina, Tatiana A.: Siberian Federal University (Krasnoyarsk, Russian Federation); Gurina, Regina V.: Siberian Federal University (Krasnoyarsk, Russian Federation);
Keywords
Petro-SIM; oil sludge; delayed coking; kinetics; mathematical modeling; Petro SIM; secondary energy resources; fuel and energy balance; alternative fuels; energy conservation
Abstract

Oil sludge is large-scale oil refining waste, the accumulation of which creates an environmental burden and at the same time represents an unused energy potential. Currently, when environmental regulations are being tightened and there is a need for alternative energy sources, the issue of involving secondary energy resources in the fuel balance of energy systems is of particular importance. Based on mathematical modeling in the KBC Petro SIM 6.2 environment, kinetic patterns of delayed coking of oil sludge are investigated. The fractional composition of the raw materials is determined, a curve of the true boiling point and a histogram of the distribution by the number of carbon atoms are constructed. Using the DC SIM module, a material balance of the process was obtained, on the basis of which the effective rate constants of cracking and polycondensation reactions were calculated. It is established that the total yield of distillate fractions (energy components) exceeds 77 % by weight, and coke formation obeys second-order kinetics. Correlations between the content of high molecular weight paraffins and the yield of solid residue were revealed. It is shown that the processing of oil sludge by delayed coking makes it possible to obtain valuable distillate streams suitable for use as fuel components, which justifies the feasibility of integrating this process into the structure of modern energy systems and complexes. The developed kinetic model can be used to optimize the operating parameters of power plants

Pages
912–922
EDN
BFXQCO
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/160194

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