دانلود مقاله ISI انگلیسی شماره 105893
ترجمه فارسی عنوان مقاله

تجزیه و تحلیل فن آوری های جدید و صرفه جویی در انرژی و سیستم های تولید فولاد آهن و فولاد، تناسب اندام

عنوان انگلیسی
Burdening proportion and new energy-saving technologies analysis and optimization for iron and steel production system
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
105893 2018 14 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Cleaner Production, Volume 172, 20 January 2018, Pages 2153-2166

پیش نمایش مقاله
پیش نمایش مقاله  تجزیه و تحلیل فن آوری های جدید و صرفه جویی در انرژی و سیستم های تولید فولاد آهن و فولاد، تناسب اندام

چکیده انگلیسی

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%.