IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i10p2473-d1653659.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/10/2473/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/10/2473/
    Download Restriction: no
    ---><---

    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. 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.
    3. Liu, Changxin & Xie, Zhihui & Sun, Fengrui & Chen, Lingen, 2017. "Exergy analysis and optimization of coking process," Energy, Elsevier, vol. 139(C), pages 694-705.
    4. 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.
    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. 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.
    7. Brunke, Jean-Christian & Blesl, Markus, 2014. "A plant-specific bottom-up approach for assessing the cost-effective energy conservation potential and its ability to compensate rising energy-related costs in the German iron and steel industry," Energy Policy, Elsevier, vol. 67(C), pages 431-446.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Changxin & Xie, Zhihui & Sun, Fengrui & Chen, Lingen, 2017. "Exergy analysis and optimization of coking process," Energy, Elsevier, vol. 139(C), pages 694-705.
    2. Yang, Qingchun & Zhang, Dawei & Zhou, Huairong & Zhang, Chenwei, 2018. "Process simulation, analysis and optimization of a coal to ethylene glycol process," Energy, Elsevier, vol. 155(C), pages 521-534.
    3. Feng, Chao & Zhu, Rong & Wei, Guangsheng & Dong, Kai & Xia, Tao, 2023. "Typical case of CO2 capture in Chinese iron and steel enterprises: Exergy analysis," Applied Energy, Elsevier, vol. 336(C).
    4. Chen Ya & Zhang Xintian & Liu Haoxiang, 2021. "Investigating the Impact of Capacity Utilization on Carbon Dioxide Emission: Evidence from China’s Iron and Steel Industry," Journal of Systems Science and Information, De Gruyter, vol. 9(6), pages 681-703, December.
    5. Shin, Sunkyu & Lee, Jeong-Keun & Lee, In-Beum, 2020. "Development and techno-economic study of methanol production from coke-oven gas blended with Linz Donawitz gas," Energy, Elsevier, vol. 200(C).
    6. Pablo Pintos & Pedro Linares, 2016. "Assessing the EU ETS with an Integrated Model," Working Papers 01-2016, Economics for Energy.
    7. An, Runying & Yu, Biying & Li, Ru & Wei, Yi-Ming, 2018. "Potential of energy savings and CO2 emission reduction in China’s iron and steel industry," Applied Energy, Elsevier, vol. 226(C), pages 862-880.
    8. Andreas Schiessl & Richard Müller & Rebekka Volk & Konrad Zimmer & Patrick Breun & Frank Schultmann, 2020. "Integrating site-specific environmental impact assessment in supplier selection: exemplary application to steel procurement," Journal of Business Economics, Springer, vol. 90(9), pages 1409-1457, November.
    9. Li, Zixiang & Miao, Zhengqing & Shen, Xusheng & Li, Jiangtao, 2018. "Prevention of boiler performance degradation under large primary air ratio scenario in a 660 MW brown coal boiler," Energy, Elsevier, vol. 155(C), pages 474-483.
    10. Elisiane S. Lima & João M. P. Q. Delgado & Ana S. Guimarães & Wanderson M. P. B. Lima & Ivonete B. Santos & Josivanda P. Gomes & Rosilda S. Santos & Anderson F. Vilela & Arianne D. Viana & Genival S. , 2021. "Drying and Heating Processes in Arbitrarily Shaped Clay Materials Using Lumped Phenomenological Modeling," Energies, MDPI, vol. 14(14), pages 1-25, July.
    11. Duan, Wenjun & Dong, Xinyuan & Gao, Lihua & Wang, Zhimei & Wang, Junhan, 2025. "Insights into thermodynamic characteristics of CO2/H2O(g) co-assist coke oven gas reforming using steel slag as heat carrier," Energy, Elsevier, vol. 328(C).
    12. Zhang, Junxia & Zhong, Junfeng & Yang, Li & Wang, Zehua & Chen, Dongrui & Wang, Qiaoli, 2024. "Enhancement effect of semicoke waste heat on energy conservation and hydrogen production from biomass gasification," Renewable Energy, Elsevier, vol. 236(C).
    13. Brage Rugstad Knudsen & Hanne Kauko & Trond Andresen, 2019. "An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters," Energies, MDPI, vol. 12(10), pages 1-22, May.
    14. Haendel, Michael & Hirzel, Simon & Süß, Marlene, 2022. "Economic optima for buffers in direct reduction steelmaking under increasing shares of renewable hydrogen," Renewable Energy, Elsevier, vol. 190(C), pages 1100-1111.
    15. Bhadbhade, Navdeep & Zuberi, M. Jibran S. & Patel, Martin K., 2019. "A bottom-up analysis of energy efficiency improvement and CO2 emission reduction potentials for the swiss metals sector," Energy, Elsevier, vol. 181(C), pages 173-186.
    16. Lin Lu & Zhipeng Yan & Xilong Yao & Yunfei Han, 2025. "An Investigation into the Effects of Coke Dry Quenching Waste Heat Production on the Cost of the Steel Manufacturing Process," Sustainability, MDPI, vol. 17(10), pages 1-30, May.
    17. Xu, Bin & Lin, Boqiang, 2017. "Assessing CO2 emissions in China's iron and steel industry: A nonparametric additive regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 325-337.
    18. Ma, Qian & Chang, Yuan & Yuan, Bo & Song, Zhaozheng & Xue, Jinjun & Jiang, Qingzhe, 2022. "Utilizing carbon dioxide from refinery flue gas for methanol production: System design and assessment," Energy, Elsevier, vol. 249(C).
    19. Michael Bampaou & Kyriakos Panopoulos & Panos Seferlis & Amaia Sasiain & Stephane Haag & Philipp Wolf-Zoellner & Markus Lehner & Leokadia Rog & Przemyslaw Rompalski & Sebastian Kolb & Nina Kieberger &, 2022. "Economic Evaluation of Renewable Hydrogen Integration into Steelworks for the Production of Methanol and Methane," Energies, MDPI, vol. 15(13), pages 1-26, June.
    20. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:10:p:2473-:d:1653659. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.