Coking raw material applicability classification, comprehensive quality evaluation and coal blending guiding method

Abstract

The invention provides a coking raw material applicability classification, comprehensive quality evaluation and coal blending guiding method. According to the method, specific indexes of coking raw materials and the mass index of solid products obtained from coking of the coking raw materials are integrated into three single indexes including caking capacity, coking capacity and a thermal property index according to the corresponding relations with coke quality indexes, and applicability classification is performed on the coking raw materials; the three single indexes are then integrated with ash content and sulfur content value indexes into an comprehensive capacity index, and six price-performance ratio indexes are formed through correlation between the three single indexes, the one comprehensive capacity index, the ash content and sulfur content value indexes and the price; after the applicability classification, coking coal blending is performed according to the three single indexes of the coking raw materials, the one comprehensive capacity index and the ash content and sulfur content value indexes, the six indexes for coal blending are controlled to be within plus / minus e%*a reference scheme score (e ranges from 5 to 10), the price-performance ratio of the six indexes for coal blending is calculated, an optimal coal blending scheme is determined, and refined and optimized coal blending is realized.

Description

technical field [0001] The invention belongs to the field of coal coke chemical industry, and in particular relates to a coking raw material applicability classification and comprehensive quality evaluation and a coal blending method in the coal blending coking production process. Background technique [0002] China is the largest country in coke production. In 2014, coke production reached 470 million tons. Therefore, coking coal, the main raw material for its production, consumes a lot. China's coking coal resources are limited, and high-quality coking coal resources are insufficient, resulting in high-quality coking coal prices. Driven by economic interests, some coal suppliers mix non-high-quality coking coal and sell it as high-quality coking coal at high prices, causing some coking enterprises to fluctuate in coal quality Large, unstable coke quality. At present, most coking enterprises have a variety of coal types and unstable coal supply, resulting in large fluctuat...

AI Technical Summary

Problems solved by technology

[0011] Inadequacies of Method 1: (1) There are a large number of coking coal quality evaluation indicators, and the process of comparing and analyzing the complicated index data item by item is complicated; (2) Choosing different coal quality indicators to evaluate the same coking coal will result in different results. Evaluation results

Select a group of coal quality indicators to evaluate different coking coals, but the quality of coke produced by coking coal with similar coal quality indicators is huge. Comprehensive evaluation of coal quality indicators is not related to the price of coking coal, and cannot directly guide the comprehensive evaluation, selection, and procurement of coking coal

[0012] Inadequacies of method two: (1) Many coal quality indicators and coking characteristic indicators of coking coal are integrated into one quality evaluation value, which has no direct correspondence with each index of coke quality, and cannot guide coal blending according to the evaluation value

(2) Different types of coking coal have different roles in coal blending. The same coal quality index and / or solid product quality index obtained from the experimental coke oven may play different roles or degrees in coal blending and coking. A number of coking coal quality evaluation indicators of coking coal are integrated into one evaluation value indicator according to a unified formula, which cannot reflect the difference in the role of different types of coking coal in coking coal blending, and has an hindering effect on fine coal blending to adjust a certain index of coke

(3) Coking coal is not classified according to its coal quality and coking characteristics

For some coals, there will be a big difference between the national standard classification and the application classification. For example, if the coal quality index is between 1 / 3 coking coal and coking coal around the boundary line, it must be judged whether it is coking coal or 1 / 3 coking coal according to its coking characteristics. This is The basis for quantitative evaluation of coking coal, otherwise it will have adverse effects on coal blending and coking. Method 2 does not consider the application classification of coking coal before quantitative evaluation of coking coal quality

(4) The quality evaluation method of blended coal (including simple blended coal and severe blended coal) is not considered

(5) The evaluation value is not related to the price of coking coal and cannot directly guide the purchase of coking coal

[0013] Inadequacies of Method Three: (1) Method Three evaluates the quality of coking coal through various specific coal quality indicators and coking characteristic indicators. Because there are many coal quality indicators and coking characteristic indicators for evaluating coking coal, the evaluation of coking coal quality indicators is cumbersome, and it is used to guide the blending. Coal is difficult

Method 3 does not overcome the shortcomings of Method 1

(2) The classification of coking coal is still classified according to the coal quality indicators of coking coal (volatile matter, ash, sulfur, Y value, G value), and the application classification is not considered in combination with the coking characteristics of coking coal, which has the same shortcomings as method two

(3) The quality evaluation method of coking coal does not consider the thermal performance of coke obtained after coking coal

(4) The evaluation of coking coal uses the coking characteristic index (M 40 and M 10 ), the evaluation of other coal types still only considers the coal quality index, and does not consider the coking characteristics, and there are cases where the evaluation results are inconsistent with the actual application. The feasibility of this coking coal quality evaluation method in the production and application of coking enterprises is poor

(5) A number of coking coal quality evaluation indicators and coking coal prices are integrated into a cost-effective index. Although it can reflect the comprehensive cost-effectiveness of coking coal, it cannot reflect the coking characteristics of coking coal in all aspects

Therefore, simply using the cost performance index cannot play a guiding role for coking enterprises to choose coking coal and coking coal blending that meet their own needs

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