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Research Progress on Energy-Saving Technologies and Methods for Steel Metallurgy Process Systems—A Review

Author

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  • Jiacheng Cui

    (School of Environmental and Municipal Engineering, Qingdao University of Technology, No. 777, Jialingjiang East Rd., Qingdao 266520, China
    These authors contributed equally to this work.)

  • Gang Meng

    (School of Environmental and Municipal Engineering, Qingdao University of Technology, No. 777, Jialingjiang East Rd., Qingdao 266520, China
    These authors contributed equally to this work.)

  • Kaiqiang Zhang

    (School of Environmental and Municipal Engineering, Qingdao University of Technology, No. 777, Jialingjiang East Rd., Qingdao 266520, China)

  • Zongliang Zuo

    (School of Environmental and Municipal Engineering, Qingdao University of Technology, No. 777, Jialingjiang East Rd., Qingdao 266520, China
    Key Laboratory of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, No. 777, Jialingjiang East Rd., Qingdao 266520, China)

  • Xiangyu Song

    (School of Environmental and Municipal Engineering, Qingdao University of Technology, No. 777, Jialingjiang East Rd., Qingdao 266520, China)

  • Yuhan Zhao

    (School of Environmental and Municipal Engineering, Qingdao University of Technology, No. 777, Jialingjiang East Rd., Qingdao 266520, China)

  • Siyi Luo

    (School of Environmental and Municipal Engineering, Qingdao University of Technology, No. 777, Jialingjiang East Rd., Qingdao 266520, China)

Abstract

Against the backdrop of global energy crises and climate change, the iron and steel industry, as a typical high energy consumption and high-emission sector, faces rigid constraints for energy conservation and emission reduction. This paper systematically reviews the research progress and application effects of energy-saving technologies across the entire steel production chain, including coking, sintering, ironmaking, steelmaking, continuous casting, and rolling processes. Studies reveal that technologies such as coal moisture control (CMC) and coke dry quenching (CDQ) significantly improve energy utilization efficiency in the coking process. In sintering, thick-layer sintering and flue gas recirculation (FGR) technologies reduce fuel consumption while enhancing sintered ore performance. In ironmaking, high-efficiency pulverized coal injection (PCI) and hydrogen-based fuel injection effectively lower coke ratios and carbon emissions. Integrated and intelligent innovations in continuous casting and rolling processes (e.g., endless strip production, ESP) substantially reduce energy consumption. Furthermore, the system energy conservation theory, through energy cascade utilization and full-process optimization, drives dual reductions in comprehensive energy consumption and carbon emission intensity. The study emphasizes that future advancements must integrate hydrogen metallurgy, digitalization, and multi-energy synergy to steer the industry toward green, high-efficiency, and low-carbon transformation, providing technical support for China’s “Dual Carbon” goals.

Suggested Citation

  • Jiacheng Cui & Gang Meng & Kaiqiang Zhang & Zongliang Zuo & Xiangyu Song & Yuhan Zhao & Siyi Luo, 2025. "Research Progress on Energy-Saving Technologies and Methods for Steel Metallurgy Process Systems—A Review," Energies, MDPI, vol. 18(10), pages 1-26, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:10:p:2473-:d:1653659
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    References listed on IDEAS

    as
    1. Ming Yan & Xinnan Song & Jin Tian & Xuebin Lv & Ze Zhang & Xiaoyan Yu & Shuting Zhang, 2020. "Construction of a New Type of Coal Moisture Control Device Based on the Characteristic of Indirect Drying Process of Coking Coal," Energies, MDPI, vol. 13(16), pages 1-20, August.
    2. Liu, Changxin & Xie, Zhihui & Sun, Fengrui & Chen, Lingen, 2017. "Exergy analysis and optimization of coking process," Energy, Elsevier, vol. 139(C), pages 694-705.
    3. Yi, Qun & Wu, Guo-sheng & Gong, Min-hui & Huang, Yi & Feng, Jie & Hao, Yan-hong & Li, Wen-ying, 2017. "A feasibility study for CO2 recycle assistance with coke oven gas to synthetic natural gas," Applied Energy, Elsevier, vol. 193(C), pages 149-161.
    4. Zeng, De-Liang & Hu, Yong & Gao, Shan & Liu, Ji-Zhen, 2015. "Modelling and control of pulverizing system considering coal moisture," Energy, Elsevier, vol. 80(C), pages 55-63.
    5. Sen Wang & Yarong Shi & Shixin Liu, 2020. "Integrated Scheduling for Steelmaking Continuous Casting— Hot Rolling Processes considering Hot Chain Logistics," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, May.
    6. Tamara Chistyakova & Inna Novozhilova & Vladimir Kozlov & Andrey Shevchik, 2023. "Resource and Energy Saving Control of the Steelmaking Converter Process, Taking into Account Waste Recycling," Energies, MDPI, vol. 16(3), pages 1-21, January.
    7. Sun, Kai & Tseng, Chen-Ting & Shan-Hill Wong, David & Shieh, Shyan-Shu & Jang, Shi-Shang & Kang, Jia-Lin & Hsieh, Wei-Dong, 2015. "Model predictive control for improving waste heat recovery in coke dry quenching processes," Energy, Elsevier, vol. 80(C), pages 275-283.
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