Mathematical Model of Optimum Control for Petroleum Coke Production in a Rotary Tube Kiln

Sharikov, Yu. V.; Sharikov, F. Yu.; Krylov, K. A.

doi:10.1134/s0040579521030192

Cited by 8 publications

(5 citation statements)

References 9 publications

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“…The change in the symmetrical position of the three-dimensional surface shown in Figures 4-6 indicates a change in the dependence between asphaltene and n-paraffin content as well as the corresponding sedimentation. Thus, the asymmetry of the threedimensional diagrams is the incompatibility degree of residual marine fuels, showing the influence of the presented factors on precipitation [54][55][56][57][58][59].…”

Section: Discussionmentioning

confidence: 99%

Exploring of the Incompatibility of Marine Residual Fuel: A Case Study Using Machine Learning Methods

et al. 2021

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Providing quality fuel to ships with reduced SOx content is a priority task. Marine residual fuels are one of the main sources of atmospheric pollution during the operation of ships and sea tankers. Hence, the International Maritime Organization (IMO) has established strict regulations for the sulfur content of marine fuels. One of the possible technological solutions allowing for adherence to the sulfur content limits is use of mixed fuels. However, it carries with it risks of ingredient incompatibilities. This article explores a new approach to the study of active sedimentation of residual and mixed fuels. An assessment of the sedimentation process during mixing, storage, and transportation of marine fuels is made based on estimation three-dimensional diagrams developed by the authors. In an effort to find the optimal solution, studies have been carried out to determine the influence of marine residual fuel compositions on sediment formation via machine learning algorithms. Thus, a model which can be used to predict incompatibilities in fuel compositions as well as sedimentation processes is proposed. The model can be used to determine the sediment content of mixed marine residual fuels with the desired sulfur concentration.

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Section: Discussionmentioning

confidence: 99%

Exploring of the Incompatibility of Marine Residual Fuel: A Case Study Using Machine Learning Methods

et al. 2021

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“…To find the values of τ and Bo, the constants A and B are determined; then, the calculations are carried out according to the following formulae: τ = √ B/A, Bo = 4 √ A•B/∆τ. As an example, Figure 3 shows the results of processing the experimental data given in [49]. Experimental data on the RTD of particles in the apparatus are obtained under the condition of a tracer impulse added at the inlet.…”

Section: Dispersion Modelmentioning

confidence: 99%

“…Their scatter is obviously associated with errors that occurred when determining the indicator concentration at the beginning and end of the experiment, when its value decreased significantly. The difference between the calculated values of the parameters from the data given in [35,49] is less than 2%.…”

Section: Dispersion Modelmentioning

confidence: 99%

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An Interval-Simplex Approach to Determine Technological Parameters from Experimental Data

Белоглазов

Krylov

2022

Mathematics

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Statistical equations are widely used to describe the laws of various chemical technological processes. The values of constants and parameters included in these equations are determined by various methods. Methods that can determine the values of equation parameters using a limited amount of experimental data are of particular practical interest. In this manuscript, we propose a method to obtain simplex-interval equations. The proposed approach can be effectively used to control the values of technological process parameters. In this paper, we consider examples of chemical kinetics equation transformations and heterogeneous processes of solid particle dissolution. In addition, we describes mathematical model transformations, including equations for functions of the residence time distribution (RTD) of apparatus particles, the distribution of particles by size, etc. Finally, we apply the proposed approach to an example involving modeling of the calcination of coke in a tubular rotary kiln.

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“…The aim of this research is formulated as establishment of relation between the main technological parameters of the process of delayed coking [6][7][8] and the same important PCA quality parameters, such as output of volatile substances and group chemical composition (D-, Eand J-fractions), which characterize indirectly their sintering and binding ability during their addition in coal charge in the process of metallurgical coke manufacture [9].…”

Section: Introduction and Setting The Problemmentioning

confidence: 99%

Petroleum coking additive - raw material component for metallurgical coke production. Part 2. Experimental studies of obtaining a petroleum coking additive

Nasifullina¹,

Starkov²,

Gabdulkhakov³

et al. 2022

cisisr

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Petroleum coke is a potential partial replacement of coking coals (being in short supply) in manufacture of metallurgical coke; in Russia and other CIS countries it was entitled as petroleum coking additive (PCA), petroleum coke with output of volatile substances within the range 15-25 %. The second part of the work describes the results of conducted experimental researches in the field of manufacture of petroleum coke additive on the example of use of two kinds of sulfuric petroleum residues of "KINEF" JSC as raw materials: residue of atmospheric distillation and mixture of residues of vacuum distillation and visbreaking. The research was conducted for two temperature procedures within the ranges 455-465 and 475-485 qС. Eight samples of carbon material were obtained as a result of conversion, and influence of input parameters of the coking process on composition and physical-chemical properties of obtained carbon materials was established. Based on content of volatile substances in petroleum coke additive and its group chemical composition, which was determined via extraction method (content of D-, Eand J-fractions) and via infrared Fourier spectroscopy, assessment and ranging of the eight obtained PCA samples were carried out by their sintering susceptibility. Interpretation of infrared spectra of obtained PCA samples was conducted via comparison with infrared spectra of coking coal, which have identical absorption stripes. Relation between PCA sintering ability and procedure parameters of the coking process was revealed. It was determined that technological process occurring at the less coking temperature 455-465 qС provides high quality PCA forming, otherwise the procedure with higher temperature (475-485 qС).

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Mathematical Model of Optimum Control for Petroleum Coke Production in a Rotary Tube Kiln

Cited by 8 publications

References 9 publications

Exploring of the Incompatibility of Marine Residual Fuel: A Case Study Using Machine Learning Methods

Exploring of the Incompatibility of Marine Residual Fuel: A Case Study Using Machine Learning Methods

An Interval-Simplex Approach to Determine Technological Parameters from Experimental Data

Petroleum coking additive - raw material component for metallurgical coke production. Part 2. Experimental studies of obtaining a petroleum coking additive

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