Determining the optimal parameters of the hydrostabilization process of pyro-condensate in the presence of a nickel-chrome catalyst with the method of mathematical statistics

Elvira A. Guseinova; Gakhraman S. Hasanov

doi:10.15330/pcss.25.2.333-337

Authors

Elvira A. Guseinova Azerbaijan State Oil and Industry University, Baku, Azerbaijan
Gakhraman S. Hasanov Azerbaijan State Oil and Industry University, Baku, Azerbaijan

DOI:

https://doi.org/10.15330/pcss.25.2.333-337

Keywords:

hydrogenation, nickel-chrome catalyst, pyro-condensate, experiment planning matrix, optimization, statistics

Abstract

The work aimed to obtain mathematical static estimates of the influence of various factors on the degree of hydrostabilization of pyrocondensate obtained during the pyrolysis of straight-run gasoline, and an attempt to determine the most optimal process mode. The experimental data obtained earlier made it possible to define the temperature range, duration, volume of the catalyst, and the ratio of hydrogen to feedstock necessary for the effective hydrostabilization of the pyrocondensate, which made it possible to narrow the range of variation of the process parameters. The planning of the experiment was carried out according to the scheme of a full factorial experiment 2⁴. The parameters on which the process of hydrostabilization of pyrocondensate depends are the following: T is the temperature of the experiment; τ is the duration of the experiment; V_kat is the catalyst volume; H₂:C is the ratio of hydrogen to raw material. Due to the results of an active experiment, the major role of variable factors was determined, a mathematical model was obtained, and the optimal mode for conducting the pyro-condensate hydrostabilization process with the presence of a nickel-chromium catalyst was determined: temperature - 80° C, the ratio of hydrogen volume to raw material, equal to 0.3, catalyst volume - 5 cm³, process duration - 120 min. The temperature has the greatest influence on the degree of pyro-condensate hydrogenation. Comparison of the results of mathematical modeling with experimental data indicates a low discrepancy (0.8% rel.) and confirms the reliability of calculations using the obtained regression equation.

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