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Substance energy coupling optimization analysis method of hydrogen metallurgy reactor

A material energy and analysis method technology, applied in the field of metallurgy, can solve the problems of lack of energy saving and emission reduction, lack of energy flow coupling, optimization of material energy coupling in hydrogen metallurgical reactors, etc., and achieve the effect of improving energy utilization

Pending Publication Date: 2022-04-15
NORTHEASTERN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The near-zero emissions in the hydrogen metallurgical process are mainly achieved through new smelting technology and reasonable process configuration, but this process is mainly for the analysis of the hydrogen metallurgical process, mainly for the material flow, lack of coupling with the energy flow, and no analysis of the Coupling optimization of material and energy in hydrogen metallurgy reactors lacks the potential for further exploration of energy saving and emission reduction

Method used

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  • Substance energy coupling optimization analysis method of hydrogen metallurgy reactor
  • Substance energy coupling optimization analysis method of hydrogen metallurgy reactor
  • Substance energy coupling optimization analysis method of hydrogen metallurgy reactor

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Effect test

Embodiment 1

[0070] Bring the relevant process parameters into the mixed integer nonlinear programming model: the furnace top gas temperature is 623K, the iron ore inlet temperature is 900K, the sponge iron outlet temperature is 673K, the reducing gas gas component is pure hydrogen, and the target product is 1000 kg Under the condition that the metallization rate of sponge iron is 91%; by changing the reducing gas preheating temperature to 750°C, 800°C, 850°C, 900°C, 950°C, 1000°C, 1050°C, different reducing gas preheating temperatures can be obtained The values ​​of reducing gas demand and reducing gas utilization rate of the model under the conditions.

[0071] The changing trend of reducing gas demand and reducing gas utilization rate with reducing gas preheating temperature is shown in the attached figure 1 and 2 As shown, it shows that with the increase of the reducing gas preheating temperature, the reducing gas demand decreases gradually, and the reducing gas utilization rate gradu...

Embodiment 2

[0073] Bring the relevant process parameters into the mixed integer nonlinear programming model: when the reducing gas inlet temperature is 1173K, the furnace top gas temperature is 352K, the sponge iron outlet temperature is 673K, the reducing gas gas component is pure hydrogen, and the target product is 1000 kg Under the condition of the metallization rate of 92% sponge iron; by changing the iron ore preheating temperature to 100°C, 150°C, 200°C, 250°C, 300°C, 350°C, 400°C, 450°C, 500°C, The values ​​of reducing gas demand and reducing gas utilization rate of the model are obtained under different iron ore preheating temperatures.

[0074] The change trend of reducing gas demand and reducing gas utilization rate with iron ore preheating temperature is shown in the attached image 3 and 4 As shown, it shows that with the increase of iron ore preheating temperature, the demand for reducing gas decreases gradually, and the utilization rate of reducing gas increases gradually; ...

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Abstract

The invention relates to a substance energy coupling optimization analysis method of a hydrogen metallurgy reactor. According to the technical scheme, the method comprises the following steps: (1) analyzing based on a mixed integer nonlinear mathematical programming method, and establishing a mixed integer nonlinear programming model; the mixed integer nonlinear programming model comprises three elements, namely a target function, a variable and a constraint condition; (2) determining variables; process parameters and hydrogen demand quantity of the hydrogen metallurgy reactor are used as variables; (3) establishing constraint conditions; establishing a material balance constraint condition and an energy balance constraint condition according to thermodynamic characteristics of the hydrogen metallurgy reactor; (4) determining a target function; taking the maximum gas utilization rate or the minimum energy consumption as an objective function; (5) forming a mixed integer nonlinear programming model of the hydrogen metallurgy reactor; and (6) substituting actual production data into the mixed integer nonlinear programming model, performing model verification and parameter correction, and outputting a result. The material energy utilization rate can be increased, and energy consumption can be reduced.

Description

technical field [0001] The invention belongs to the field of metallurgy, and in particular relates to a material-energy coupling optimization analysis method for a hydrogen metallurgical reactor. Background technique [0002] The iron and steel industry is a basic industry and a pillar industry, and plays an important role in the national economy. With the rapid development of the steel industry, the traditional long-process blast furnace ironmaking has revealed two major problems: resource scarcity and environmental damage. High-pollution industries such as the iron and steel industry must carry out structural reforms. The carbon emissions of my country's iron and steel industry account for 16% of the total emissions. [0003] Hydrogen metallurgy technology is less dependent on coking coal resources, suitable for short-process ironmaking, and can effectively solve the two major problems of resource scarcity and environmental damage in long-process processes. The hydrogen ...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F119/08G06F119/14
CPCG06F30/20G06F2119/08G06F2119/14
Inventor 杜涛岳强邱梓洋那洪明孙竞超袁喻兴闫天一车梓畅
Owner NORTHEASTERN UNIV