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The steel industry: A mathematical model under environmental regulations

Author

Listed:
  • Riccardi, R.
  • Bonenti, F.
  • Allevi, E.
  • Avanzi, C.
  • Gnudi, A.

Abstract

In this work, a spatial equilibrium problem is formulated for analyzing the impact of the application of the EU-ETS on the steel industry that has historically seen Europe as one of its major producers. The developed model allows us to simultaneously represent the interactions of several market players, to endogenously determine output and steel prices and to analyze the investment in the Carbon Capture and Storage (CCS) technology. In addition, the proposed model supports the evaluation of the CO2 emission costs on the basis of Directive 2009/29/EC, the “20-20-20” targets, and the Energy Roadmap 2050. In this light, two main processes for steelmaking have to be considered: integrated mills (BOF) and Electric Arc Furnace (EAF) in minimills.

Suggested Citation

  • Riccardi, R. & Bonenti, F. & Allevi, E. & Avanzi, C. & Gnudi, A., 2015. "The steel industry: A mathematical model under environmental regulations," European Journal of Operational Research, Elsevier, vol. 242(3), pages 1017-1027.
    • Handle: RePEc:eee:ejores:v:242:y:2015:i:3:p:1017-1027
    DOI: 10.1016/j.ejor.2014.10.057
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    References listed on IDEAS

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    Cited by:

    1. Zhu, Xuehong & Zuo, Xuguang & Li, Hailing, 2021. "The dual effects of heterogeneous environmental regulation on the technological innovation of Chinese steel enterprises—Based on a high-dimensional fixed effects model," Ecological Economics, Elsevier, vol. 188(C).
    2. Allevi, E. & Conejo, A.J. & Oggioni, G. & Riccardi, R. & Ruiz, C., 2018. "Evaluating the strategic behavior of cement producers: An equilibrium problem with equilibrium constraints," European Journal of Operational Research, Elsevier, vol. 264(2), pages 717-731.
    3. Torres, Nelson & Greivel, Gus & Betz, Joshua & Moreno, Eduardo & Newman, Alexandra & Thomas, Brian, 2024. "Optimizing steel coil production schedules under continuous casting and hot rolling," European Journal of Operational Research, Elsevier, vol. 314(2), pages 496-508.
    4. Xu, Bin & Lin, Boqiang, 2016. "Regional differences in the CO2 emissions of China's iron and steel industry: Regional heterogeneity," Energy Policy, Elsevier, vol. 88(C), pages 422-434.
    5. Nie, Pu-Yan & Wang, Chan & Yang, Yon-Cong, 2017. "Comparison of energy efficiency subsidies under market power," Energy Policy, Elsevier, vol. 110(C), pages 144-149.
    6. Xu, Xiaoping & Chen, Xinyang & Choi, Tsan-Ming & Cheng, T.C.E., 2024. "Platform financing versus bank financing: “When to choose which” for green production systems," European Journal of Operational Research, Elsevier, vol. 317(2), pages 515-532.
    7. Hongtao Ren & Wenji Zhou & Marek Makowski & Shaohui Zhang & Yadong Yu & Tieju Ma, 2023. "A multi-criteria decision support model for adopting energy efficiency technologies in the iron and steel industry," Annals of Operations Research, Springer, vol. 325(2), pages 1111-1132, June.
    8. Xu, Bin & Lin, Boqiang, 2016. "Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model," Applied Energy, Elsevier, vol. 161(C), pages 375-386.
    9. E. Allevi & A. Gnudi & I. V. Konnov & G. Oggioni, 2018. "Decomposition method for oligopolistic competitive models with common environmental regulation," Annals of Operations Research, Springer, vol. 268(1), pages 441-467, September.

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