Burdening proportion and new energy-saving technologies analysis and optimization for iron and steel production system. (20th January 2018)

• Record Type: Journal Article
• Authors: Shen, Xun; Chen, Lingen; Xia, Shaojun; Xie, Zhihui; Qin, Xiaoyong
• Is Part Of: Journal of cleaner production. Volume 172(2018)
• Page Start: 2153
• Page End: 2166
• Publication Date: 2018-01-20
• Subjects: Iron and steel production system -- Optimization model -- Energy consumption and CO2 emission minimization -- Burdening proportion analysis and optimization -- New energy-saving technology; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2017.11.204
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: Taking the 1780 mm hot rolling strip production process as an example, an optimization model covering the sinter matching process to the steel rolling product output for iron and steel production system (ISPS) is established. Linear programming (LP) and nonlinear programming (NLP) methods and "e-p" analysis are applied. Energy consumption and CO2 emission minimizations are taken as optimization objectives. Total 61 key constraints are considered. The optimal scenario of burdening proportions and operation parameters of blast furnace are obtained. After optimization, the comparable energy consumption per ton steel of ISPS decreases by 2.39% and the comprehensive one by 2.29% compared with the initial values, respectively. Moreover, on specific procedures and process levels, applications of new energy-saving technologies will have significant effects on system energy consumption. When these new energy-saving technologies are synthesizing adopted as the following combination: "hierarchical porous sintering, equivalent calorific value injection + sensible heat recovery of high temperature slags in blast furnace and converter + sensible heat recovery of high temperature converter gas"(without considering the oxygen blast furnace), the maximum energy conservation of 20.63 kgce per ton steel can be achieved, which can make the system energy consumption approximately decrease by 3.40%. When the combination above is applied to the proposed optimization model, the energy-saving effect can attain 5.69%. Highlights: Optimization model for iron and steel production system is established. Energy consumption and CO2 emission minimizations are taken as objectives. The "e-p" analysis, linear and nonlinear programming methods are applied. Optimal burdening proportion and operation parameter of BF are obtained.