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Material and energy flows of the iron and steel industry: Status quo, challenges and perspectives

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  1. Chen, Liudong & Liu, Nian & Li, Chenchen & Wu, Lei & Chen, Yubing, 2021. "Multi-party stochastic energy scheduling for industrial integrated energy systems considering thermal delay and thermoelectric coupling," Applied Energy, Elsevier, vol. 304(C).
  2. 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.
  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. 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).
  5. Zhang, Liu & Zheng, Zhong & Chai, Yi & Xu, Zhaojun & Zhang, Kaitian & Liu, Yu & Chen, Sujun & Zhao, Liuqiang, 2023. "ASU model with multiple adjustment types for oxygen scheduling concerning pipe pressure safety in steel enterprises," Applied Energy, Elsevier, vol. 343(C).
  6. Yang, Jiaojiao & Sun, Zeyi & Hu, Wenqing & Steinmeister, Louis, 2022. "Joint control of manufacturing and onsite microgrid system via novel neural-network integrated reinforcement learning algorithms," Applied Energy, Elsevier, vol. 315(C).
  7. 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).
  8. 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).
  9. Duan, Wenjun & Wu, Qinting & Li, Peishi & Cheng, Peiwen, 2022. "Techno-economic analysis of a novel full-chain blast furnace slag utilization system," Energy, Elsevier, vol. 242(C).
  10. Che, Gelegen & Zhang, Yanyan & Tang, Lixin & Zhao, Shengnan, 2023. "A deep reinforcement learning based multi-objective optimization for the scheduling of oxygen production system in integrated iron and steel plants," Applied Energy, Elsevier, vol. 345(C).
  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).
  12. Tom Savage & Antonio del Rio Chanona & Gbemi Oluleye, 2023. "Robust Market Potential Assessment: Designing optimal policies for low-carbon technology adoption in an increasingly uncertain world," Papers 2304.10203, arXiv.org.
  13. 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).
  14. 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).
  15. 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).
  16. 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).
  17. Wang, Xiaoling & Zhang, Tianyue & Nathwani, Jatin & Yang, Fangming & Shao, Qinglong, 2022. "Environmental regulation, technology innovation, and low carbon development: Revisiting the EKC Hypothesis, Porter Hypothesis, and Jevons’ Paradox in China's iron & steel industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  18. 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).
  19. Chen, Demin & Li, Jiaqi & Wang, Zhao & Lu, Biao & Chen, Guang, 2022. "Hierarchical model to find the path reducing CO2 emissions of integrated iron and steel production," Energy, Elsevier, vol. 258(C).
  20. 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).
  21. Xu, Jingru & Yang, Baochen & Yuan, Chunlai, 2024. "Enhancing natural resource efficiency through digital government: Evidence from the utilization of energy, water, and land resources," Resources Policy, Elsevier, vol. 94(C).
  22. Sun, Jingchao & Na, Hongming & Yan, Tianyi & Che, Zichang & Qiu, Ziyang & Yuan, Yuxing & Li, Yingnan & Du, Tao & Song, Yanli & Fang, Xin, 2022. "Cost-benefit assessment of manufacturing system using comprehensive value flow analysis," Applied Energy, Elsevier, vol. 310(C).
  23. José Edmundo de Almeida Pais & Hugo D. N. Raposo & José Torres Farinha & Antonio J. Marques Cardoso & Pedro Alexandre Marques, 2021. "Optimizing the Life Cycle of Physical Assets through an Integrated Life Cycle Assessment Method," Energies, MDPI, vol. 14(19), pages 1-24, September.
  24. Wang, Jiayang & Wang, Qiang & Sun, Wenqiang, 2023. "Quantifying flexibility provisions of the ladle furnace refining process as cuttable loads in the iron and steel industry," Applied Energy, Elsevier, vol. 342(C).
  25. Zhang, Liu & Zhang, Kaitian & Zheng, Zhong & Chai, Yi & Lian, Xiaoyuan & Zhang, Kai & Xu, Zhaojun & Chen, Sujun, 2023. "Two-stage distributionally robust integrated scheduling of oxygen distribution and steelmaking-continuous casting in steel enterprises," Applied Energy, Elsevier, vol. 351(C).
  26. Gan, Lei & Yang, Tianyu & Wang, Bo & Chen, Xingying & Hua, Haochen & Dong, Zhao Yang, 2023. "Three-stage coordinated operation of steel plant-based multi-energy microgrids considering carbon reduction," Energy, Elsevier, vol. 278(C).
  27. Liu, Weipeng & Peng, Tao & Kishita, Yusuke & Umeda, Yasushi & Tang, Renzhong & Tang, Wangchujun & Hu, Luoke, 2021. "Critical life cycle inventory for aluminum die casting: A lightweight-vehicle manufacturing enabling technology," Applied Energy, Elsevier, vol. 304(C).
  28. 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).
  29. Xiao, Dongliang & Lin, Zhenjia & Chen, Haoyong & Hua, Weiqi & Yan, Jinyue, 2024. "Windfall profit-aware stochastic scheduling strategy for industrial virtual power plant with integrated risk-seeking/averse preferences," Applied Energy, Elsevier, vol. 357(C).
  30. 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).
  31. 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).
  32. 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).
  33. Victor A. Alcal Abraham & Elkin D. Alem n Causil & Vladimir Sousa Santos & Eliana Noriega Angarita & Julio R. G mez Sarduy, 2021. "Identification of Savings Opportunities in a Steel Manufacturing Industry," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 43-50.
  34. Ma, Shuaiyin & Zhang, Yingfeng & Lv, Jingxiang & Ge, Yuntian & Yang, Haidong & Li, Lin, 2020. "Big data driven predictive production planning for energy-intensive manufacturing industries," Energy, Elsevier, vol. 211(C).
  35. Gayan Abeynayake & Liana Cipcigan & Xiaolin Ding, 2022. "Black Start Capability from Large Industrial Consumers," Energies, MDPI, vol. 15(19), pages 1-25, October.
  36. 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).
  37. Li, Ke & Zou, Danyu & Li, Hailing, 2023. "Environmental regulation and green technical efficiency: A process-level data envelopment analysis from Chinese iron and steel enterprises," Energy, Elsevier, vol. 277(C).
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