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

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

Energy, 2025, vol. 333, issue C

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.

Keywords: Integrated iron and steel mills; Optimization; Ultimate energy efficiency (UEE); Carbon emission reduction; Blast furnace with top-gas recycling (TGR-BF) (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225031123
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:333:y:2025:i:c:s0360544225031123

DOI: 10.1016/j.energy.2025.137470

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().