A Coke Quality Prediction Method Based on High Potassium and Sodium Contents in Coal Ash

Abstract

The invention relates to a method for predicting coke quality based on high potassium and sodium content of coal ash, comprising: 1) determining coking blending coal conditions; 2) establishing a regression equation Y=b 0 +b 1 x 1 +b 2 x 2 +b 3 x 3 , and carry out the regression equation significance test; 2) Determine the threshold value Y according to the production requirements 0 ; 3) Determination of the ash content of coking coal blend, Na in the ash 2 O content and K 2 The content of O is substituted into the regression equation to calculate the Y value; 4) when Y≥Y 0 , it is believed that the influence of coal blending ash and alkali metal content on coke quality is within the controllable range; when Y<Y 0 , it is considered that the coal blending scheme cannot meet the production demand, and the proportion of high potassium and sodium coal needs to be adjusted until the calculated Y value ≥ the threshold value Y 0 . While meeting the demand for coke used in large-scale blast furnace production, the invention effectively increases the blending ratio of high-potassium and sodium coal, reduces coking production costs, and fills the gap in the technical field of high-potassium and sodium coal application in the field of metallurgical coke.

Description

technical field [0001] The invention relates to the technical field of coal blending in metallurgical coke production, in particular to a coke quality prediction method based on high potassium and sodium content of coal ash. Background technique [0002] Coke is an essential raw material for blast furnaces. Coke is used as a reducing agent in blast furnaces to provide heat and play the role of a material column skeleton. In recent years, the supply of coking coal, a high-quality raw material for coking, has become increasingly tight. At the same time, the pressure on raw material costs in the steel industry has prompted various coking companies to actively look for other cheap coal types to replace higher-priced coking coal. [0003] Potassium and sodium in coal will accelerate the carbon melting reaction of coke under high temperature environment. Taking potassium as an example, the chemical reaction formula is as follows: K 2 CO 3 +2C—2K+3CO, 2K+CO 2 —K 2 O+CO,K 2 O+C...

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Problems solved by technology

The patent classifies coal by several indicators including the alkalinity index. According to different categories, different alkalinity indexes are required. The operation is more complicated, and the classification is artificially designated. In addition, the patent does not mention the application of high alkalinity The influence of degree index coal on coke quality has not been predicted, and it has not been related to the application of blast furnaces. Therefore, it is very subjective and is not conducive to popularization and application

[0007] In the literature "Gasification of coal coke and CO2 under the action of alkali metal catalysis" [Power Engineering, No. 1, 2006], it is clearly stated that potassium affects the quality of coke, but it does not mention how to apply high-potassium coking in coal blending Coal, not to mention coke quality prediction

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