A prediction model for the yield of coking products

A prediction model and technology of tar yield, applied in the coking industry, can solve problems such as large deviation and inaccurate prediction results, and achieve scientific prediction results

Active Publication Date: 2020-09-04
汾渭清洁能源控股(河北)有限责任公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0011] In order to overcome the deficiencies in the prior art, the present invention provides a coking chemical product yield prediction model to solve the problem of inaccurate prediction results and large deviations of the existing coking chemical product prediction model

Method used

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  • A prediction model for the yield of coking products
  • A prediction model for the yield of coking products
  • A prediction model for the yield of coking products

Examples

Experimental program
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Effect test

Embodiment 1

[0071] The experimental furnace type is 7.63m, the coking time is 25 hours, and the dry basis volatile matter V d is 22.05, the coal caking index G is 78.1, and the active component E is 70.

[0072] In actual production, the yield of tar is 2.56, the yield of crude benzene is 0.70, and the yield of net gas is 309.5.

[0073] Calculate the yield through the chemical product yield prediction model:

[0074] Comparing with Table 1, the influence coefficient of furnace type and coking time on tar oil yield can be obtained from a=c*d

[0075] a=0.85*0.8=0.68

[0076] Comparing with Table 2, from b=0.95*c, the influence coefficient of furnace type on crude benzene yield

[0077] b=0.95*0.85=0.8075

[0078] Calculate tar yield (%): = 0.68*[0.18*V d *(G+0.25*E)+0.8] / 100

[0079] =0.68*[0.18*22.05*(78.1+0.25*70)+0.8] / 100

[0080] =2.58

[0081] Calculate crude benzene yield (%) = 0.8075*[0.043*V d *(G+0.18*E)+0.6] / 100

[0082] =0.8075*[0.043*22.05*(G+0.18*70)+0.6] / 100

[00...

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Abstract

The invention relates to the technical field of a coking industry, in particular to a model for predicting the yield of a coking chemical product. In the model, the yield of tar and crude benzene is related to combustible volatile components, a caking index and active components of coal and rock, and meanwhile, purified gas is related to the yield of the tar and the crude benzene. According to themodel disclosed by the invention, an influence concept of the caking performance of coal and components of coal and rock on the yield of the coking chemical product is introduced, and the influence of parameters of the width of a carbonizing chamber and the coking time on the model is also considered, so that a prediction result is more scientific and more accurate.

Description

technical field [0001] The invention relates to the technical field of the coking industry, and more specifically, relates to a coking chemical product yield prediction model. Background technique [0002] The coking chemical industry occupies an important position in the coal chemical industry. Coking chemical products are widely used in the medical industry, chemical industry, national defense industry and other industries, and are also available for civilian use. The coking industry is very important to the development of China's national economy. Therefore, the theoretical yield prediction model of coking chemical products in the coking industry The increase in productivity is of great significance. In the traditional prediction formula, the tar, crude benzene, and net gas yield prediction model only considers the influence factors of coal volatile content, and does not take into account the influence of other indicators of coal quality, so the prediction of chemical yi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/00
CPCC10B57/00
Inventor 常毅军张媛姜卫民
Owner 汾渭清洁能源控股(河北)有限责任公司
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