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Model for predicting coke sulfur conversion through ash components and volatile components

A technology of volatile matter and ash components, applied in chemical process analysis/design, instruments, calculations, etc., can solve problems such as inaccurate prediction of coke sulfur conversion, achieve stable coke sulfur content, accurate prediction models, and reduce production costs

Active Publication Date: 2018-09-11
汾渭清洁能源控股(河北)有限责任公司
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Problems solved by technology

[0003] In order to overcome the deficiencies in the prior art, the present invention provides a model for predicting coke sulfur conversion through ash components and volatile components, which solves the problem of inaccurate prediction of coke sulfur conversion in the prior art

Method used

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Embodiment Construction

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] A model for predicting coke sulfur conversion through ash components and volatile components, the prediction model formula is:

[0024] S 单转化率 =a*A d单 *X i -V daf单 *b+c

[0025] S 入转化率 =ΣS 单转化率

[0026] In the formula, X i is the content of a single coal ash component; A d单 is the ash content of a single coal; V daf单 is the volatile matter of a single coal; S 单转化率 is the coke sulfur conversion rate of a single coal; S 入转化率 is the coke sulfur conversion rate of the furnace coal; a, b, c are coefficients.

[0027] ...

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Abstract

The invention relates to the technical field of coking chemical industry, in particular to a model for predicting coke sulfur conversion through ash components and volatile components. The model for predicting the coke sulfur conversion through the ash components and the volatile components takes three influence factors into account, wherein the three influence actors include the sulfur componentsof coal fed into an oven, the ash components of the coal and the volatile components of the coal fed into the oven. By taking several factors with most obvious influences on a coke sulfur conversionrate into account, the prediction model is more accurate. A prediction result of the coke sulfur conversion rate is stabilized, and a guiding meaning is achieved on production. When the coke sulfur components are stabilized, the production cost is reduced.

Description

technical field [0001] The invention relates to the technical field of coking and chemical engineering, and more specifically relates to a model for predicting coke sulfur conversion through ash components and volatile components. Background technique [0002] The level and stability of sulfur in coke not only affect the sulfur content of molten iron, but also have a significant impact on blast furnace operation and technical and economic indicators. Analyzing the influencing factors of sulfur content in the coking process, and accurately predicting and controlling coke sulfur content are of great significance to stabilizing coke quality. At present, there are mainly three types of prediction models for sulfur conversion: 1. A one-dimensional linear model that uses the regression method to find the correlation between the sulfur content of incoming coal and the sulfur content of coke, which has not been analyzed from the principle of sulfur migration, and the prediction is u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16C20/10
Inventor 常毅军阎瑞霞张媛姜卫民
Owner 汾渭清洁能源控股(河北)有限责任公司
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