2020American Journal of Applied ChemistryOpen access

Application of Coal Rock Analysis in Coking Productions

Wu Xi, Qing Chen, Liu Bin Bin, Wu Son

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Abstract

In the coking industry, the variety and quality of single coal is the basis for influencing the quality of coal blending and ultimately the quality of coke products. Nowadays, some coking plants generally use industrial analysis methods to determine the quality of coal varieties and coal blending. However, using industrial analysis method alone cannot ensure that the variety quality identification of single coal and mixed coal is correct and reliable, therefore, there is no guarantee of coking coal blending and the final coking quality. Identifying coal by means of coal-rock analysis and distinguishing mixed coal can make up for the deficiency of industrial analysis in testing coal quality and types of coal. At the same time, according to the reflectivity of the vitrinite of coal can be additive, using synthetic coal reflectance distribution map to guide coal coking, can predict, improve and raise the quality of coke products. In this paper, some examples are given to identify coal type and distinguish mixed coal by reflectivity of coal vitrinite combined with industrial analysis method. At the same time, the method and example of applying synthetic coal reflectivity distribution map to guide coking coal to improve coke quality are also given. Finally noted, when using coal-rock method to guide coking and predict coke quality, it must be tested no arbitrary application.

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In the coking industry, the variety and quality of single coal is the basis for influencing the quality of coal blending and ultimately the quality of coke products. Nowadays, some coking plants generally use industrial analysis methods to determine the quality of coal varieties and coal blending. However, using industrial analysis method alone cannot ensure that the variety quality identification of single coal and mixed coal is correct and reliable, therefore, there is no guarantee of coking coal blending and the final coking quality. Identifying coal by means of coal-rock analysis and distinguishing mixed coal can make up for the deficiency of industrial analysis in testing coal quality and types of coal. At the same time, according to the reflectivity of the vitrinite of coal can be additive, using synthetic coal reflectance distribution map to guide coal coking, can predict, improve and raise the quality of coke products. In this paper, some examples are given to identify coal type and distinguish mixed coal by reflectivity of coal vitrinite combined with industrial analysis method. At the same time, the method and example of applying synthetic coal reflectivity distribution map to guide coking coal to improve coke quality are also given. Finally noted, when using coal-rock method to guide coking and predict coke quality, it must be tested no arbitrary application.

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Available abstract

In the coking industry, the variety and quality of single coal is the basis for influencing the quality of coal blending and ultimately the quality of coke products. Nowadays, some coking plants generally use industrial analysis methods to determine the quality of coal varieties and coal blending. However, using industrial analysis method alone cannot ensure that the variety quality identification of single coal and mixed coal is correct and reliable, therefore, there is no guarantee of coking coal blending and the final coking quality. Identifying coal by means of coal-rock analysis and distinguishing mixed coal can make up for the deficiency of industrial analysis in testing coal quality and types of coal. At the same time, according to the reflectivity of the vitrinite of coal can be additive, using synthetic coal reflectance distribution map to guide coal coking, can predict, improve and raise the quality of coke products. In this paper, some examples are given to identify coal type and distinguish mixed coal by reflectivity of coal vitrinite combined with industrial analysis method. At the same time, the method and example of applying synthetic coal reflectivity distribution map to guide coking coal to improve coke quality are also given. Finally noted, when using coal-rock method to guide coking and predict coke quality, it must be tested no arbitrary application.

Key concepts: Coal, Coke, Quality (philosophy), Vitrinite, Mining engineering, Petroleum engineering, Environmental science, Waste management

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