AOD (argon oxygen decarburization) furnace energy consumption optimization method based on energy carrier

An optimization method and energy carrier technology, applied in the field of data processing, can solve problems such as the inability to coordinate process parameters, and achieve the effect of reducing energy consumption

Inactive Publication Date: 2013-06-05
BAOSHAN IRON & STEEL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this technical solution only establishes the quantitative relationship between each process parameter and the influence o...

Method used

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  • AOD (argon oxygen decarburization) furnace energy consumption optimization method based on energy carrier
  • AOD (argon oxygen decarburization) furnace energy consumption optimization method based on energy carrier
  • AOD (argon oxygen decarburization) furnace energy consumption optimization method based on energy carrier

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0228] For the AOD furnace of a steel factory, the steel grade SUS304 is selected, and the energy consumption is optimized by applying the above method. The comparison between the current energy consumption value and the optimized energy consumption value is as follows Figure 4 shown.

[0229] Figure 4 The lower line in the center represents the optimized energy value of the AOD furnace. The optimized energy value of the steel SUS304 is 361kgce / t, and the upper line represents the average energy value actually produced by the AOD furnace, which is 504kgce / tt, which reduces energy consumption by 28.4% on average. , the calculation results show that the emergy optimization calculation with genetic algorithm achieves better results.

[0230] The optimized ingredients are shown in the table below. The energy consumption optimization model achieves the invention goal of reducing energy consumption by coordinating the ingredients of electric furnace stainless steel mother liq...

Embodiment 2

[0238] For the AOD furnace of a steel plant, the steel type BN1D is selected, and the above method is used to optimize energy consumption. The comparison between the current energy consumption value and the optimized energy consumption value is as follows Figure 5 shown.

[0239] Figure 5 The lower line in the center represents the optimized energy value of the AOD furnace. The optimized energy value of the steel type BN1D is 341kgce / t, and the upper line represents the average energy value actually produced by the AOD furnace, which is 500kgce / t, and the average energy consumption is reduced by 31.8 %.

[0240] All the other are with embodiment 1.

[0241] AOD Furnace Steel Type BN1D Optimized Batching and Corresponding Binary Code

[0242] Ingredients name

Steel grade SUS304 optimized ingredients / kg

Optimize ingredients corresponding to binary code

raw material 1

63038.5

11100011110011011001

raw material 2

38428.5 ...

Embodiment 3

[0247] For the AOD furnace of a steel factory, the steel grade SUH409L was selected, and the energy consumption was optimized by applying the above method. The comparison between the current energy consumption value and the optimized energy consumption value is as follows Figure 6 shown.

[0248] Figure 6 The lower line in the center represents the optimized energy value of the AOD furnace. The optimized energy value of the steel SUH409L is 406kgce / t, and the upper line represents the average energy value actually produced by the AOD furnace, which is 495kgce / t, and the average energy consumption is reduced by 220.0 %.

[0249] All the other are with embodiment 1.

[0250] AOD Furnace Steel Type SUH409L Optimal Batching and Corresponding Binary Code

[0251] Ingredients name

Steel grade SUS304 optimized ingredients / kg

Optimize ingredients corresponding to binary code

raw material 1

105746.2

00101100000111101111

raw material...

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Abstract

The invention discloses an AOD (argon oxygen decarburization) furnace energy consumption optimization method based on an energy carrier, and belongs to the field of data processing. The AOD furnace energy consumption optimization method includes the steps: determining an AOD furnace energy consumption optimization model parameter set according to a production process; building energy balance constraint conditions of the parameter set based on material balance; building an energy consumption optimization model for an AOD furnace energy carrying value according to the energy balance constraint conditions; solving the energy consumption optimization model by an adaptive mutation rate genetic algorithm to obtain the optimized value of an objective function of the AOD furnace energy consumption optimization model; optimizing/adjusting the burdening amount or the burdening proportion of an AOD furnace and adjusting/controlling material consumption of the AOD furnace according to the optimized value of the objective function of the AOD furnace energy consumption optimization model; and greatly reducing the comprehensive average energy consumption of the AOD furnace based on the energy carrier on the premise of ensuring indexes such as various processed and product performances of the AOD furnace to meet requirements by the aid of existing equipment conditions. The AOD furnace energy consumption optimization method can be widely used for the field of comprehensive average energy consumption control for the AOD furnace.

Description

technical field [0001] The invention belongs to the field of data processing, in particular to an energy consumption control method for industrial production devices. Background technique [0002] AOD furnace (Argon Oxygen Decarburization furnace), is the refining equipment of the argon oxygen refining method, named after the abbreviation of the English name of the method. [0003] The shape of the AOD furnace (hereinafter referred to as AOD) is similar to that of a converter. The furnace body is placed on a support ring that can be tilted back and forth, and is fixed by pins. The bottom side of the furnace is equipped with spray guns that blow gas into the molten pool horizontally. The number of spray guns varies according to the tonnage of the furnace, generally 2 to 3. The meeting point of the extension lines of the lance coincides with the vertical axis of the furnace. The spray gun is composed of inner tube (copper) and outer tube (stainless steel). The inner tube is ...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 陈洁李安东徐晓华周敏
Owner BAOSHAN IRON & STEEL CO LTD
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