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Study on carbon emission reduction optimization of gas-steam-power system for an integrated iron and steel mill considering ultimate energy efficiency

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  • Xu, Tingting
  • Huo, Zhaoyi
  • Zhao, Liang
  • Qu, Haoming
  • Zhu, Xiaojing

Abstract

The paper proposes a multi-period mixed integer linear programming (MILP) model for gas-steam-power system (GSPS) at steel mills aiming to reduce carbon emissions. The model is utilized to evaluate the economic and environmental benefits of implementing ultimate energy efficiency (UEE) and blast furnace with top-gas recycling (TGR-BF) technology in GSPS. The influence of UEE and TGR-BF technology on the energy supply and demand in steam and power cogeneration system (SPCS) is considered. Using a case study an integrated steel plant in Northeast China, the carbon reduction strategy optimization is analyzed in detail with UEE and TGR-BF. The results show that Scenario D (UEE + TGR-BF) has the largest carbon emission reduction of 1172,970.08 tCO2. The application of energy-saving and emission reduction technologies bring additional cost. Scenario A (original system) has the smallest total cost at 7.716 billion CNY. The results of sensitivity analysis show that the reduction of grid carbon emission factor is conducive to improving the environmental benefits. When the coal price is higher than 1557 CNY/t, the carbon price is higher than 497.93CNY/tCO2 or the power price is lower than 0.249CNY/kWh, Scenarios B (UEE), C (TGR-BF) and D have both environmental and economic benefits compared with Scenario A.

Suggested Citation

  • Xu, Tingting & Huo, Zhaoyi & Zhao, Liang & Qu, Haoming & Zhu, Xiaojing, 2025. "Study on carbon emission reduction optimization of gas-steam-power system for an integrated iron and steel mill considering ultimate energy efficiency," Energy, Elsevier, vol. 333(C).
    • Handle: RePEc:eee:energy:v:333:y:2025:i:c:s0360544225031123
    DOI: 10.1016/j.energy.2025.137470
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