Optimization of energy efficiency, energy consumption and CO2 emission in typical iron and steel manufacturing process

被引：59
作者：
Na, Hongming [1 ,2 ]
Sun, Jingchao [1 ,2 ]
Qiu, Ziyang [1 ,2 ]
Yuan, Yuxing [1 ,2 ]
Du, Tao [1 ,2 ]
机构：
[1] Northeastern Univ, SEP Key Lab Ecoind, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ, Sch Met, Shenyang 110819, Liaoning, Peoples R China
来源：
ENERGY | 2022年 / 257卷
关键词：
Iron and steel manufacturing process; Energy efficiency; Energy consumption; CO2; emission; Optimization; Influencing factors; WASTE HEAT UTILIZATION; BLAST-FURNACE; EXERGY ANALYSIS; INDUSTRY;
D O I：
10.1016/j.energy.2022.124822
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
Improving energy efficiency of the iron and steel manufacturing process (ISMP) plays a vital role in saving energy and reducing CO2 emissions. However, there is currently a lack of research on assessment method and improvement rules of energy efficiency of the ISMP. In addition, the impact of energy efficiency on CO2 emissions and energy consumption is rarely mentioned in previous studies. To fill this gap, this study establishes an assessment and optimization model of energy efficiency, energy consumption and CO2 emissions in the ISMP. Taking material parameters, process parameters and reaction conditions as constraints, this study optimizes a practical ISMP with maximizing energy efficiency as the optimization goal, and further analyze energy consumption and CO2 emissions of typical ISMP. After optimizing, energy efficiency of the ISMP is increased from 64.00% to 68.20%, energy consumption of the ISMP is reduced from 15.76 GJ/t-steel to 12.31 GJ/t-s, and the CO2 emission of the ISMP is reduced from 1215.2 kg/t-steel to 815.3 kg/t-s. It is found that injected coal ratio of blast furnace, charge structure of blast furnace, iron-steel interface and casting-rolling interface have a greater impact on energy efficiency, energy consumption and CO2 emission of the ISMP. (C) 2022 Elsevier Ltd. All rights reserved.
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页数：17
相关论文
共 31 条
[1]   Exergy analysis and efficiency in an industrial AC electric ARC furnace [J].
Çamdali, Ü ;
Tunç, M .
APPLIED THERMAL ENGINEERING, 2003, 23 (17) :2255-2267
[2]   Constructal optimization of a sinter cooling process based on exergy output maximization [J].
Feng, Huijun ;
Chen, Lingen ;
Liu, Xiong ;
Xie, Zhihui ;
Sun, Fengrui .
APPLIED THERMAL ENGINEERING, 2016, 96 :161-166
[3]   Iron and steel recycling: Review, conceptual model, irreducible mining requirements, and energy implications [J].
Harvey, L. D. Danny .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 138
[4]   Exergy Analysis and Optimization of Sintering Process [J].
He, Chengchi ;
Feng, Yanhui ;
Feng, Daili ;
Zhang, Xinxin .
STEEL RESEARCH INTERNATIONAL, 2018, 89 (12)
[5]   Optimization and Analysis of Minimizing Exergy Loss in Ironmaking System [J].
He, Jianfei ;
Zhang, Weilong ;
Na, Hongming ;
Sun, Jingchao ;
Yuan, Yuxing ;
Qiu, Ziyang ;
Yan, Tianyi ;
Du, Tao .
ENERGY TECHNOLOGY, 2021, 9 (02)
[6]   Energy-saving potential and process optimization of iron and steel manufacturing system [J].
Jiang, Zeyi ;
Zhang, Xinxin ;
Jin, Peng ;
Tian, Fushan ;
Yang, Yejian .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2013, 37 (15) :2009-2018
[7]   Numerical simulation and optimization of pulverized coal injection with enriched oxygen into blast furnace [J].
Li, Yongqing ;
Zhang, Xiaohui ;
Zhang, Jiayuan ;
Zhou, Jiemin ;
Yan, Hongjie .
APPLIED THERMAL ENGINEERING, 2014, 67 (1-2) :72-79
[8]   Exergy analysis and optimization of coking process [J].
Liu, Changxin ;
Xie, Zhihui ;
Sun, Fengrui ;
Chen, Lingen .
ENERGY, 2017, 139 :694-705
[9]   Constructal design of a blast furnace iron-making process based on multi-objective optimization [J].
Liu, Xiong ;
Chen, Lingen ;
Feng, Huijun ;
Qin, Xiaoyong ;
Sun, Fengrui .
ENERGY, 2016, 109 :137-151
[10]   Exergy loss minimization for a blast furnace with comparative analyses for energy flows and exergy flows [J].
Liu, Xiong ;
Chen, Lingen ;
Qin, Xiaoyong ;
Sun, Fengrui .
ENERGY, 2015, 93 :10-19
1234