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Burdening proportion and new energy-saving technologies analysis and optimization for iron and steel production system

机译:钢铁生产系统的负荷比例及节能新技术分析与优化

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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%. (C) 2017 Elsevier Ltd. All rights reserved.
机译:以1780毫米热轧带钢生产工艺为例,建立了一个优化模型,该模型涵盖了烧结工艺与钢铁生产系统(ISPS)的轧钢产品产量的匹配。应用线性规划(LP)和非线性规划(NLP)方法以及“ e-p”分析。能源消耗和CO2排放最小化被视为优化目标。总共考虑了61个关键约束。获得了高炉炉料配比和运行参数的最佳方案。经过优化,每吨ISPS的可比能耗与初始值相比分别降低了2.39%和综合能耗的2.29%。此外,在特定的程序和过程级别上,新节能技术的应用将对系统能耗产生重大影响。当这些新的节能技术合成时,采用以下组合方式:“分层多孔烧结,等效热值注入+高炉和转炉中高温炉渣的显热回收+高温转炉煤气的显热回收”(不考虑氧鼓风炉),每吨钢最大节能量为20.63 kgce,可使系统能耗降低约3.40%。当以上组合应用于所提出的优化模型时,节能效果可达到5.69%。 (C)2017 Elsevier Ltd.保留所有权利。

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