Method for quickly and efficiently regulating and controlling flowing temperature of coal ash

Abstract

A method for quickly and efficiently regulating and controlling the flowing temperature of coal ash comprises the following steps: ashing a coal sample, and analyzing the chemical composition of the coal ash; when the coal ash is acidic ash of which A / B is greater than or equal to 6.72, adjusting the coal ash into neutral ash by adding an alkaline substance, wherein A represents the total mass of SiO2, Al2O3 and TiO2, and B represents the total mass of CaO, Fe2O3, MgO, K2O and Na2O; when the coal ash is neutral ash of which A / B is more than or equal to 0.96 and less than 6.72, regulating the FT of the coal ash by regulating (mAl2O3 + mTiO2) / B; when the coal ash is alkaline ash with A / B less than 0.96, regulating the FT of the coal ash by regulating (mCaO + mMgO) / A. The method provided by the invention not only realizes the goal of fast and efficient regulation and control of coal ash FT, but also can be carried out in a plurality of ways such as coal blending, additive addition or both adding and the like in the regulation and control process.

Description

technical field [0001] The invention belongs to the field of coal gasification, in particular to a method for fast and efficient regulation of coal ash FT. Background technique [0002] Coal gasification is an important way of efficient and clean utilization of coal resources, and it is also the basis for the development of the coal chemical industry. At this stage, entrained bed gasification technology has become the main development direction because of its high conversion rate and large production capacity. But at the same time, due to the limitation of the operating space of the gasification chamber, the entrained bed gasification time is generally in the "second order". Therefore, the intensity of entrained bed gasification is compared with fixed bed gasification and fluidized bed gasification. The intensity is several times or even dozens of times higher. In order to effectively make up for the shortcoming of insufficient gasification reaction caused by the short res...

AI Technical Summary

Problems solved by technology

However, due to the complex composition of coal ash and the large difference in the content of each component, there is generally a nonlinear relationship between coal ash FT and ash components, and this relationship is difficult to be effectively expressed by mathematical formulas.

In addition, the various components of coal ash have different occurrence forms in different coal samples and different crystal state evolution behaviors at high temperatures, which further increases the difficulty of coal ash FT prediction, resulting in the empirical relationship obtained from data regression In actual use, there are limitations of poor prediction accuracy and poor adaptability

In recent years, in order to predict the FT of coal ash more accurately through the composition of coal ash, scholars have tried to establish a predictive relationship between the composition of coal ash and FT through intelligent algorithms represented by artificial neural networks. The shortcomings of black-box operation, poor interpretation of results, and inability to make accurate mathematical descriptions have caused the actual control effect to be unsatisfactory.

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