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Off-gas generated from iron and steelIron and steel making processProcess were important secondary energySecondary energy sources in steelSteel plants. However, the generation and consumption of off-gas suffered from fluctuations due to the change pf operation conditions of various furnaces. Off-gasholderGasholder served as buffer units to reduce the temporary imbalance. However, the capacity of off-gasholderGasholder was limited, and the transient behavior made the management of holders complex and challenging. Under coarse management, long-standing issues such as off-gas flaring and shortage limited the plant’s potential for energy cost reductionReduction and efficiency improvement. This paper studied the trends and challenges of off-gas prediction and scheduling and proposed an integrated framework of off-gas generation,consumption, and off-gasholderGasholder level forecasting and scheduling. Leveraging metallurgical models and data-driven techniques, it accurately forecasts key indicators hours ahead. The proposed framework was suitable to support intelligent and stable off-gas management in steelSteel enterprises.

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Prediction and Dynamic Scheduling of Off-gas in Iron and Steel Enterprises

  • 会议论文

  • 发表日期：

    2026年

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  • Pengfan Ren,
  • Xiancong Zhao,
  • Yong Ma,
  • Peng Zhao,
  • Song Gao,
  • Wei Li,
  • Fang Guo,
  • Mingyue Iv,
  • Yingqin Wang

摘要

Off-gas generated from iron and steelIron and steel making processProcess were important secondary energySecondary energy sources in steelSteel plants. However, the generation and consumption of off-gas suffered from fluctuations due to the change pf operation conditions of various furnaces. Off-gasholderGasholder served as buffer units to reduce the temporary imbalance. However, the capacity of off-gasholderGasholder was limited, and the transient behavior made the management of holders complex and challenging. Under coarse management, long-standing issues such as off-gas flaring and shortage limited the plant’s potential for energy cost reductionReduction and efficiency improvement. This paper studied the trends and challenges of off-gas prediction and scheduling and proposed an integrated framework of off-gas generation,consumption, and off-gasholderGasholder level forecasting and scheduling. Leveraging metallurgical models and data-driven techniques, it accurately forecasts key indicators hours ahead. The proposed framework was suitable to support intelligent and stable off-gas management in steelSteel enterprises.