Yield of coke and byproducts

Stepanov, Yu. V.; Karpin, G. M.

doi:10.3103/s1068364x09100032

Cited by 4 publications

(1 citation statement)

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“…By-product yield is a fundamental factor in planning and evaluation of the operation of byproduct coking enterprises, therefore, the issue of forecasting this parameter is fundamental in planning cost-performance ratio of production. Since the 1920s, a large number of dependences of the yield of various by-products on the coal quality coefficient, from the volatile-matter yield to methods based on a modern understanding of their structure and properties, determined on the basis of data obtained during petrographic and ultimate analyzes [2][3][4], including with the calculation of the chemical potential of coal [5,6].…”

Section: Introductionmentioning

confidence: 99%

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

2020

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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.

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