IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v294y2024ics036054422400731x.html
   My bibliography  Save this article

Evaluation of by-product-gas utilization options for carbon reduction at an integrated iron and steel mill

Author

Listed:
  • Xu, Tingting
  • Huo, Zhaoyi
  • Wang, Wenjing
  • Xie, Ning
  • Li, Lili
  • Liu, Yingjie
  • Mu, Lin

Abstract

The comprehensive utilization of steel mill by-product gases is an important method for achieving climate goals. In this study, a comprehensive model is proposed for analyzing carbon-emission reduction strategies of by-product gases comprehensive utilization system at an integrated iron and steel mill. The model is used to explore carbon-emission reduction performance applying blast furnace with top-gas recycling (TGR-BF) and carbon capture and storage (CCS) applications, as well as consequent influence on steam and power cogeneration system (SPCS) operation. Carbon-emission intensity, total emission reduction and unit reduction cost are used to evaluate the carbon reduction result of by-product gases comprehensive utilization system. The results of the study indicate that the upgrade of SPCS can achieve an emission reduction of 311,200 tCO2, and the carbon-emission intensity of the power and heat supply can be reduced by 0.14 tCO2/104 kWh and 0.02 tCO2/GJ, respectively. After TGR-BF technology is applied, the total emission reduction peaks at the top-gas recovery rate of 6%, which is 85,100 tCO2. The unit reduction cost is also minimized at the top-gas recovery rate of 6%. Sensitivity analysis indicates that the reduction of power price significantly reduces the unit reduction cost.

Suggested Citation

  • Xu, Tingting & Huo, Zhaoyi & Wang, Wenjing & Xie, Ning & Li, Lili & Liu, Yingjie & Mu, Lin, 2024. "Evaluation of by-product-gas utilization options for carbon reduction at an integrated iron and steel mill," Energy, Elsevier, vol. 294(C).
  • Handle: RePEc:eee:energy:v:294:y:2024:i:c:s036054422400731x
    DOI: 10.1016/j.energy.2024.130959
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422400731X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.130959?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zeng, Yujiao & Xiao, Xin & Li, Jie & Sun, Li & Floudas, Christodoulos A. & Li, Hechang, 2018. "A novel multi-period mixed-integer linear optimization model for optimal distribution of byproduct gases, steam and power in an iron and steel plant," Energy, Elsevier, vol. 143(C), pages 881-899.
    2. Sun, Wenqiang & Wang, Qiang & Zhou, Yue & Wu, Jianzhong, 2020. "Material and energy flows of the iron and steel industry: Status quo, challenges and perspectives," Applied Energy, Elsevier, vol. 268(C).
    3. Liu, Lianzhi & Jiang, Zeyi & Zhang, Xinru & Lu, Yuanxiang & He, Junkai & Wang, Jingsong & Zhang, Xinxin, 2018. "Effects of top gas recycling on in-furnace status, productivity, and energy consumption of oxygen blast furnace," Energy, Elsevier, vol. 163(C), pages 144-150.
    4. Goto, Kazuya & Yogo, Katsunori & Higashii, Takayuki, 2013. "A review of efficiency penalty in a coal-fired power plant with post-combustion CO2 capture," Applied Energy, Elsevier, vol. 111(C), pages 710-720.
    5. Abdul Quader, M. & Ahmed, Shamsuddin & Dawal, S.Z. & Nukman, Y., 2016. "Present needs, recent progress and future trends of energy-efficient Ultra-Low Carbon Dioxide (CO2) Steelmaking (ULCOS) program," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 537-549.
    6. Ren, Ming & Lu, Pantao & Liu, Xiaorui & Hossain, M.S. & Fang, Yanru & Hanaoka, Tatsuya & O'Gallachoir, Brian & Glynn, James & Dai, Hancheng, 2021. "Decarbonizing China’s iron and steel industry from the supply and demand sides for carbon neutrality," Applied Energy, Elsevier, vol. 298(C).
    7. Xi, Han & Wu, Xiao & Chen, Xianhao & Sha, Peng, 2021. "Artificial intelligent based energy scheduling of steel mill gas utilization system towards carbon neutrality," Applied Energy, Elsevier, vol. 295(C).
    8. Zhang, Hanxin & Sun, Wenqiang & Li, Weidong & Ma, Guangyu, 2022. "A carbon flow tracing and carbon accounting method for exploring CO2 emissions of the iron and steel industry: An integrated material–energy–carbon hub," Applied Energy, Elsevier, vol. 309(C).
    9. Zhang, Wei & Zhang, Juhua & Xue, Zhengliang, 2017. "Exergy analyses of the oxygen blast furnace with top gas recycling process," Energy, Elsevier, vol. 121(C), pages 135-146.
    10. Zhang, Qi & Xu, Jin & Wang, Yujie & Hasanbeigi, Ali & Zhang, Wei & Lu, Hongyou & Arens, Marlene, 2018. "Comprehensive assessment of energy conservation and CO2 emissions mitigation in China’s iron and steel industry based on dynamic material flows," Applied Energy, Elsevier, vol. 209(C), pages 251-265.
    11. Ren, Lei & Zhou, Sheng & Peng, Tianduo & Ou, Xunmin, 2021. "A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    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. Jiang, Sheng-Long & Wang, Meihong & Bogle, I. David L., 2023. "Plant-wide byproduct gas distribution under uncertainty in iron and steel industry via quantile forecasting and robust optimization," Applied Energy, Elsevier, vol. 350(C).
    2. Zhang, Hanxin & Sun, Wenqiang & Li, Weidong & Ma, Guangyu, 2022. "A carbon flow tracing and carbon accounting method for exploring CO2 emissions of the iron and steel industry: An integrated material–energy–carbon hub," Applied Energy, Elsevier, vol. 309(C).
    3. Yang, Honghua & Ma, Linwei & Li, Zheng, 2023. "Tracing China's steel use from steel flows in the production system to steel footprints in the consumption system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 172(C).
    4. Shuangping Wu & Anjun Xu, 2021. "Calculation Method of Energy Saving in Process Engineering: A Case Study of Iron and Steel Production Process," Energies, MDPI, vol. 14(18), pages 1-15, September.
    5. Na, Hongming & Sun, Jingchao & Qiu, Ziyang & Yuan, Yuxing & Du, Tao, 2022. "Optimization of energy efficiency, energy consumption and CO2 emission in typical iron and steel manufacturing process," Energy, Elsevier, vol. 257(C).
    6. Qiu, Ziyang & Sun, Jingchao & Du, Tao & Na, Hongming & Zhang, Lei & Yuan, Yuxing & Wang, Yisong, 2024. "Impact of hydrogen metallurgy on the current iron and steel industry: A comprehensive material-exergy-emission flow analysis," Applied Energy, Elsevier, vol. 356(C).
    7. Jiang, Sheng-Long & Peng, Gongzhuang & Bogle, I. David L. & Zheng, Zhong, 2022. "Two-stage robust optimization approach for flexible oxygen distribution under uncertainty in integrated iron and steel plants," Applied Energy, Elsevier, vol. 306(PB).
    8. Ren, Lei & Zhou, Sheng & Peng, Tianduo & Ou, Xunmin, 2021. "A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    9. Yuan, Yuxing & Na, Hongming & Du, Tao & Qiu, Ziyang & Sun, Jingchao & Yan, Tianyi & Che, Zichang, 2023. "Multi-objective optimization and analysis of material and energy flows in a typical steel plant," Energy, Elsevier, vol. 263(PD).
    10. Ma, Shuaiyin & Ding, Wei & Liu, Yang & Ren, Shan & Yang, Haidong, 2022. "Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries," Applied Energy, Elsevier, vol. 326(C).
    11. Liu, Shuhan & Sun, Wenqiang, 2023. "Attention mechanism-aided data- and knowledge-driven soft sensors for predicting blast furnace gas generation," Energy, Elsevier, vol. 262(PA).
    12. Liu, Weipeng & Zhao, Chunhui & Peng, Tao & Zhang, Zhongwei & Wan, Anping, 2023. "Simulation-assisted multi-process integrated optimization for greentelligent aluminum casting," Applied Energy, Elsevier, vol. 336(C).
    13. Xue, Xue & Liu, Xiang & Zhu, Yifan & Yuan, Lei & Zhu, Ying & Jin, Kelang & Zhang, Lei & Zhou, Hao, 2023. "Numerical modeling and parametric study of the heat storage process of the 1.05 MW molten salt furnace," Energy, Elsevier, vol. 282(C).
    14. Sun, Jingchao & Na, Hongming & Yan, Tianyi & Qiu, Ziyang & Yuan, Yuxing & He, Jianfei & Li, Yingnan & Wang, Yisong & Du, Tao, 2021. "A comprehensive assessment on material, exergy and emission networks for the integrated iron and steel industry," Energy, Elsevier, vol. 235(C).
    15. Wang, Xiaoyang & Yu, Biying & An, Runying & Sun, Feihu & Xu, Shuo, 2022. "An integrated analysis of China’s iron and steel industry towards carbon neutrality," Applied Energy, Elsevier, vol. 322(C).
    16. Ma, Shuaiyin & Huang, Yuming & Liu, Yang & Liu, Haizhou & Chen, Yanping & Wang, Jin & Xu, Jun, 2023. "Big data-driven correlation analysis based on clustering for energy-intensive manufacturing industries," Applied Energy, Elsevier, vol. 349(C).
    17. Wang, Peng & Zhao, Shen & Dai, Tao & Peng, Kun & Zhang, Qi & Li, Jiashuo & Chen, Wei-Qiang, 2022. "Regional disparities in steel production and restrictions to progress on global decarbonization: A cross-national analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    18. Zhu, Mingjuan & Liu, Yudong & Wu, Xiao & Shen, Jiong, 2023. "Dynamic modeling and comprehensive analysis of direct air-cooling coal-fired power plant integrated with carbon capture for reliable, economic and flexible operation," Energy, Elsevier, vol. 263(PA).
    19. Na, Hongming & Sun, Jingchao & Qiu, Ziyang & He, Jianfei & Yuan, Yuxing & Yan, Tianyi & Du, Tao, 2021. "A novel evaluation method for energy efficiency of process industry — A case study of typical iron and steel manufacturing process," Energy, Elsevier, vol. 233(C).
    20. Ma, Shuaiyin & Huang, Yuming & Liu, Yang & Kong, Xianguang & Yin, Lei & Chen, Gaige, 2023. "Edge-cloud cooperation-driven smart and sustainable production for energy-intensive manufacturing industries," Applied Energy, Elsevier, vol. 337(C).

    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:eee:energy:v:294:y:2024:i:c:s036054422400731x. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.