The central laboratory Coke Production of PJSC «ArcelorMittal Kryvyi Rih» in present-day condition.

THE CENTRAL LABORATORY OF COKE PRODUCTION AT PJSC «ARCELORMITTAL KRYVYI RIH» IN PRESENT-DAY CONDITIONS © O.P. Chernousova, N.V. Mukina (Coke Production of PJSC «ArcelorMittal Kryvyi Rih», 50095, Dnipropetrovsk region, Kryvyi Rih, Kryvorizhstal str., 1, Ukraine), A.Yu. Martynova, PhD in Technical Sciences (State Enterprise "Ukrainian State Research Coal Chemical Institute (UHIN)", 61023, Kharkov, Vesnina st., 7, Ukraine) The article discusses the scientific and methodological organization of analytical control at the coke production of PJSC "ArcelorMittal Kryvyi Rih" (CP AMKR), as well as the results of ongoing scientific and methodological measures to ensure confidence in the results of measurements carried out in the central laboratory (CL CP AMKR). Thus, the CL CP AMKR was one of the first in the industry to put into use the test installation "KARBOTEST", which allows without the involvement of third parties to carry out important laboratory research and enables the laboratory staff to quickly develop recommendations for optimizing the composition of coal charges and improving the quality of coke. The unit is designed to test the coking process of coal mixtures and certain grades of coal concentrates under temperature conditions similar to those in coke oven batteries. CL CP AMKR introduces express methods for the analysis of chemical coking products and was one of the first to introduce a refractometric method for determining the mass fraction of distillate up to 180 ° C in crude benzene. The use of this method can significantly reduce the measurement time, avoiding the cumbersome distillation procedure, and reduce the sample volume for analysis from 100 cm3 to a few drops. In order to ensure the uniformity, quality of measurements and tests, the CL on an ongoing basis takes part in interlaboratory comparative tests of almost all types of raw materials and products entering and produced by it. These are the products that are stable over time in terms of their quality indicators, for example, coal coke, as well as products whose individual indicators can change over time (crude benzene, coal tar, etc.). Keywords: measurement, quality control, coal concentrates, coke, chemical products, qualification confirmation, experimental coking, uncertainty, interlaboratory experiment, accreditation. Corresponding author A.P. Chernousova, е-mail: [email protected]

Development and Performance Evaluation of a Computer Program Based on Neural Network Mathematical Models for Forecasting By- Product Yield

Process performance of coking plants are based on data on the yield of by-products of coking coal and their quality, therefore, much attention is paid to the issues of their analysis. In view of the complexity and insufficient knowledge of the relationship between these parameters, mathematical modeling of this dependence using neural networks is of great interest. Based on a mathematical analysis of experimental data on the quality indicators of coal, coal concentrates and the by-product yield, neural network mathematical models have been developed to forecast the parameters under study. The neural network is based on the Ward’s network. Based on the results of the research, the application “Intelligent Information System for Forecasting By-product Yield” was created, which implements neural networks [1]. The relative forecasting error for the parameter “coke” is 0.64±0.23%, “coal tar” is 19.53±5.25%, “crude benzene” is 10.02±2.83%, and “coke gas” is 5.11±1.34%. A comparative analysis of the data obtained using the developed design method is carried out, with the simulation results using existing methods, as well as with the production values of by-products yield.

Intrinsic Kinetics of Coking Crude Benzene Hydrodesulfurization on a Ti Modified Co-Mo-P/γ-Al2O3 Catalyst

With different content of thiophene in coking crude benzene, the Orthogonal design experiments of thiophene hydrodesulfurization on a Ti modified Co-Mo-P/γ-Al2O3 catalyst were carried out in a micro-reactor under the reaction conditions of 2.3~2.7MPa,275~335°C, 0.5h-1LHSV and H2/Oil 600~750. The kinetic parameters and the intrinsic kinetics were acquired by 4-order Runge-Kutta method and the modified Simplex method. The power-law type kinetic model was established and consistent with the experiment data and highly acceptable and reliable.

Analysis and Operation of Coking Crude Benzene Hydro-Refining Process

The reactive theory of coking crude benzene hydro-refining process was analyzed generally. The results show that proper reaction temperature, system pressure, and hydrogen partial pressure are better for the hydro-refining reaction, and play a certain role in extending the service life of catalyst. With extending the service time of catalyst, the catalyst activity will reduce. The operating temperature and operating pressure need to be strengthened. When the catalyst has been aging, the product quality not is able to achieve the specified requirements, it is necessary to carry on the regeneration to the catalyst to restore its activity. In practice, the key parameters of hydrogenation have been controlled reasonably. While ensuring that the unit was safe and stable in continuous operation, it had a high recovery rate of the product, the product quality has been increased obviously.

Energy-saving Optimization of Crude Benzol Pretreating in Hydrotreating Process

The article mainly analyses energy consumption in raw material pretreatment craft question of crude benzol hydrotreating process, with available energy analytic method. By calculating the available energy of heat exchangers and evaporators of K-K process, find the energy consumption situation during crude benzene refinement production, and then give some suggestions in Energy-saving Optimization measure.