Furnace heat prediction and control model and its application to large blast furnace

• Published in: High temperature materials and processes Vol. 38; no. 2019; pp. 884 - 891
• Main Authors: Li, Zhuang-nian, Chu, Man-sheng, Liu, Zheng-gen, Ruan, Gen-ji, Li, Bao-feng
• Format: Journal Article
• Language: English
• Published: De Gruyter 25.02.2019
• Subjects: Carbon-oxygen balance; Furnace heat; Large blast furnace; Prediction and control; Thermal equilibrium
• ISSN: 0334-6455; 2191-0324
• DOI: 10.1515/htmp-2019-0049

Blast furnace heat is the key to the blast furnace’s high efficiency and stable operation, and it is difficult to maintain a suitable temperature for large blast furnace operations. When designing the furnace heat prediction and control model, parameters with good reliability and measurability should be chosen to avoid using less accurate parameters and to ensure the accuracy and practicability of the model. This paper presents an effective model for large blast furnace temperature prediction and control. Using thermal equilibrium and the carbon-oxygen balance of the blast furnace’s high-temperature zone, the slag-iron heat index was calculated. Using the relation between the molten iron temperature and slag-iron heat index, the furnace heat parameter can be calculated while production conditions are changed,which can guide furnace heat control.