ENERGY EFFICIENCY THROUGH COMBUSTION SYSTEM OPTIMIZATION IN REHEATING FURNACES
Received: 3rd October 2025 Revised: 16th October 2025, 20th November 2025 Accepted: 11th December 2025 Date of Publication: 17th December 2025
DOI:
https://doi.org/10.20319/mijst.2025.11.8594Keywords:
Energy Efficiency, Natural Gas Savings, Carbon Footprint, Air–Fuel Ratio Control, Reheating FurnaceAbstract
Reheating processes, which constitute a critical stage in steel industry production, hold significant importance in terms of energy efficiency due to their high energy consumption. In reheating furnaces, by-product gases, natural gas, or fuel oil are typically utilized. The walking beam reheating furnace examined in this study heats billets to the required temperatures— depending on product size and type—through 32 burners positioned in different furnace zones, providing stepwise heating. However, the imbalance in heat transfer within the furnace and the non-uniform distribution of heating rates lead to deviations from the target heating curve, thereby intensifying the scaling problem that causes production losses. The primary aim of this study is to reduce unnecessary natural gas consumption and minimize the carbon footprint by improving the control of the air–fuel mixture inside the furnace through burner optimization and automation systems. As a result of the implemented measures, considering the annual production capacity, a total of 1,950,000 Sm³ of natural gas savings was achieved, corresponding to approximately 3,705–3,900 tons of CO2 equivalent emission reduction. These findings demonstrate a successful large-scale industrial application aimed at enhancing energy efficiency in reheating furnaces while mitigating environmental impacts.
References
Cao, H., Du, D., Peng, Y., & Yin, Y. (2006). Air–fuel–ratio optimal control of a gas heating furnace based on fuzzy neural networks. In Advances in Neural Networks – ISNN 2006 (pp. 876–884). Springer.
https://doi.org/10.1007/11760023_128
Chakravarty, K., Mondal, S., & Kundu, R. (2024). Improving the energy efficiency in a walking hearth type reheating furnace by energy balance method and optimizing the resources. Measurement: Energy, 3, 100010.
https://doi.org/10.1016/j.meene.2024.100010
Kilinc, E., Kaya, D., Kilic, F.Ç. & Eyidogan, M. (2014). An Energy Efficiency Analysis of an Industrial Reheating Furnace and an Implementation of Efficiency Enhancements Methods. Energy Exploration & Exploitation, 32(6):989-1004.
https://doi:10.1260/0144-5987.32.6.989
Liu, T., Dai, F., Zeng, W., Guo, Y., Zheng, S., & Li, H. (2023). Effects of furnace length on the thermal performance of a walking beam reheating furnace. Metals, 13(12), 1946. https://doi.org/10.3390/met13121946
Renault, M., Viaquart, J., Meliga, P., Grandin, G.-A., Meynet, N., & Hachem, E. (2023). Investigating gas furnace control practices with reinforcement learning. International Journal of Heat and Mass Transfer, 209, 124147.
https://doi.org/10.1016/j.ijheatmasstransfer.2023.124147
Wang, C., Xu, J., Xu, K., Jiang, L., Wang, Y., Su, S., Hu, S., & Xiang, J. (2025). Real-time prediction and optimization of NOx emissions using artificial intelligence and online combustion data. Fuel, 391, 134836.
https://doi.org/10.1016/j.fuel.2025.134836
Wang, D., Zhang, X., Zhu, Y., & Jiang, Z. (2024). Optimization of exergy efficiency in a walking beam reheating furnace based on numerical simulation and entropy generation analysis. Processes, 12(3), 451.
https://doi.org/10.3390/pr12030451
Xu, J., Tian, G., Li, B., Qi, F., Wang, C., & Liu, Z. (2025). Modeling of dynamic air-fuel ratio under fuel calorific value and composition fluctuation: A case study of an industrial-scale reheating furnace. Applied Thermal Engineering, 279(Part C), 127671. https://doi.org/10.1016/j.applthermaleng.2025.127671
Zanoni, A., Feretti, I. & Zavanella, L.E. (2020). Energy savings in reheating furnaces through process modelling. Procedia Manufacturing, Volume 42, 2020, Pages 205-210. https://doi.org/10.1016/j.promfg.2020.02.071
Zhao, J., Ma, L., Zayed, M.E., Elsheikh, A.H. Li, W., Yan, Q. Wang, J. (2021). Industrial reheating furnaces: A review of energy efficiency assessments, waste heat recovery potentials, heating process characteristics and perspectives for steel industry. Process Safety and Environmental Protection, Volume 147, March 2021, Pages 1209-1228. https://doi.org/10.1016/j.psep.2021.01.045
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright of Published Articles
Author(s) retain the article copyright and publishing rights without any restrictions.

All published work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
