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| Research on Intelligent Control of Denitrification of Sintering Flue Gas Based on Model Predict Control |
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Received:October 14, 2021
Revised:November 10, 2021
Accepted:November 15, 2021
Published Online:January 18, 2022
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| DOI：doi：10.3969/j.issn.1007-7545.2022.02.017 |
| KeyWord:limestone - gypsum wet desulfurization; model predict control; flue gas desulfurization; intelligent management; smelting |
| Author | Institution |
| HU Yan |
济南大学自动化与电气工程学院;山东智能机器人应用技术研究院 |
| WEI Jun |
济南大学 自动化与电气工程学院 |
| YU Xian-chi |
山东省肿瘤医院 |
| LI Chun-lei |
山信软件股份有限公司 |
| ZHAO Hong-hua |
济南大学机械工程学院 |
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| Abstract: |
| In order to meet the requirement of environmental emission standards, reduce desulfurization cost of smelting units, and aim at the problem of sintering flue gas pollution in smelting enterprises, automatic ammonia injection and combustion heating in traditional limestone + gypsum wet desulfurization process was designed. The model predictive control technology was used to model the desulfurization reaction link and combustion and heating process of hot blast stove, predict and control SO2 concentration at flue gas outlet and reactor temperature, and reduce the disturbance of interference factors to the lowest level. The actual operation results show that application of the intelligent control system based on model prediction proposed saves 100 000 Yuan of ammonia cost, 1.2 million Yuan of gas cost, and 25% of production efficiency. When the average concentration of SO2 in flue gas at the equipment inlet is 422.43 mg/m3(Standard state), the concentration of pollutants in outlet flue gas is lower than 28 mg/m3 respectively, which can meet the expected emission requirements, and the control effect of ammonia injection system has been improved. |
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