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Linz–Donawitz converter gas (LDG) generated during steel-making process is an important secondary energyEnergy source in steel plant. However, its generation subjected to significant fluctuations due to multiple factors such as process requirements and production schedules. To solve this problem, LDG gasholderGasholder served as buffer units for temporary gas storage. Given their limited capacity, gasholderGasholder frequently experience levels that are either too high or too low. Therefore, it is necessary to predict and control the LDG holder level in a future period, so as to reduce gas flaring or shortage. Previous studies based on the premise that the measurement of LDG consumption flow was accurate. However, in actual production, measurement deviationsMeasurement deviation of LDG widely existed. If actual measurement data is used in the prediction modelPrediction model, may lead to the continuous accumulation of measurement deviationMeasurement deviation. In this paper, a real-time prediction modelPrediction model considered the measurement deviationMeasurement deviation of LDG consumption is proposed. On-field test results indicated that the accuracy for the proposed model at a 30-min horizon and 60-min horizon is 92.4% and 87.8%, respectively.

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Prediction of Linz–Donawitz Converter Gasholder in Iron and Steel Enterprise

  • 会议论文

  • 发表日期：

    2026年

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  • Xiancong Zhao,
  • Yong Ma,
  • Peng Zhao,
  • Song Gao,
  • Wei Li,
  • Fang Guo,
  • Pengfan Ren,
  • Zhanxin Wu,
  • Yingqin Wang,
  • Minghui Chi,
  • Zhongheng Chen,
  • Hao Bai

摘要

Linz–Donawitz converter gas (LDG) generated during steel-making process is an important secondary energyEnergy source in steel plant. However, its generation subjected to significant fluctuations due to multiple factors such as process requirements and production schedules. To solve this problem, LDG gasholderGasholder served as buffer units for temporary gas storage. Given their limited capacity, gasholderGasholder frequently experience levels that are either too high or too low. Therefore, it is necessary to predict and control the LDG holder level in a future period, so as to reduce gas flaring or shortage. Previous studies based on the premise that the measurement of LDG consumption flow was accurate. However, in actual production, measurement deviationsMeasurement deviation of LDG widely existed. If actual measurement data is used in the prediction modelPrediction model, may lead to the continuous accumulation of measurement deviationMeasurement deviation. In this paper, a real-time prediction modelPrediction model considered the measurement deviationMeasurement deviation of LDG consumption is proposed. On-field test results indicated that the accuracy for the proposed model at a 30-min horizon and 60-min horizon is 92.4% and 87.8%, respectively.